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Bio-inspired Algorithms for Data Streaming and Visualization, Big Data Management, and Fog Computing (Springer Tracts in Nature-Inspired Computing)
by Simon James Fong Richard C. MillhamThis book aims to provide some insights into recently developed bio-inspired algorithms within recent emerging trends of fog computing, sentiment analysis, and data streaming as well as to provide a more comprehensive approach to the big data management from pre-processing to analytics to visualization phases. The subject area of this book is within the realm of computer science, notably algorithms (meta-heuristic and, more particularly, bio-inspired algorithms). Although application domains of these new algorithms may be mentioned, the scope of this book is not on the application of algorithms to specific or general domains but to provide an update on recent research trends for bio-inspired algorithms within a specific application domain or emerging area. These areas include data streaming, fog computing, and phases of big data management. One of the reasons for writing this book is that the bio-inspired approach does not receive much attention but shows considerable promise and diversity in terms of approach of many issues in big data and streaming. Some novel approaches of this book are the use of these algorithms to all phases of data management (not just a particular phase such as data mining or business intelligence as many books focus on); effective demonstration of the effectiveness of a selected algorithm within a chapter against comparative algorithms using the experimental method. Another novel approach is a brief overview and evaluation of traditional algorithms, both sequential and parallel, for use in data mining, in order to provide an overview of existing algorithms in use. This overview complements a further chapter on bio-inspired algorithms for data mining to enable readers to make a more suitable choice of algorithm for data mining within a particular context. In all chapters, references for further reading are provided, and in selected chapters, the author also include ideas for future research.
Bio-inspired Algorithms in Machine Learning and Deep Learning for Disease Detection
by Seifedine Kadry S Balasubramaniam T K Manoj Kumar K. Satheesh KumarCurrently, computational intelligence approaches are utilised in various science and engineering applications to analyse information, make decisions, and achieve optimisation goals. Over the past few decades, various techniques and algorithms have been created in disciplines such as genetic algorithms, artificial neural networks, evolutionary algorithms, and fuzzy algorithms. In the coming years, intelligent optimisation algorithms are anticipated to become more efficient in addressing various issues in engineering, scientific, medical, space, and artificial satellite fields, particularly in early disease diagnosis. A metaheuristic in computer science is designed to discover optimisation algorithms capable of solving intricate issues. Metaheuristics are optimisation algorithms that mimic biological behaviours of animals or birds and are utilised to discover the best solution for a certain problem. A meta-heuristic is an advanced approach used by heuristics to tackle intricate optimisation problems. A metaheuristic in mathematical programming is a method that seeks a solution to an optimisation problem. Metaheuristics utilise a heuristic function to assist in the search process. Heuristic search can be categorised as blind search or informed search. Meta-heuristic optimisation algorithms are gaining popularity in various applications due to their simplicity, independence from data trends, ability to find optimal solutions, and versatility across different fields. Recently, many nature-inspired computation algorithms have been utilised to diagnose people with different diseases. Nature-inspired methodologies are now widely utilised across several fields for tasks such as data analysis, decision-making, and optimisation. Techniques inspired by nature are categorised as either biology-based or natural phenomena-based. Bioinspired computing encompasses various topics in computer science, mathematics, and biology in recent years. Bio-inspired computer optimisation algorithms are a developing method that utilises concepts and inspiration from biological development to create new and resilient competitive strategies. Bio-inspired optimisation algorithms have gained recognition in machine learning and deep learning for solving complicated issues in science and engineering. Utilising BIAs learning methods with machine learning and deep learning shows great promise for accurately classifying medical conditions. This book explores the historical development of bio-inspired algorithms and their application in machine learning and deep learning models for disease diagnosis, including COVID-19, heart diseases, cancer, diabetes and some other diseases. It discusses the advantages of using bio-inspired algorithms in disease diagnosis and concludes with research directions and future prospects in this field.
Bio-inspired Asymmetric Design and Building of Biomimetic Smart Single Nanochannels (Springer Theses)
by Xu HouIn this thesis, the author introduces various bio-inspired smart nanochannel systems. A strategy for design and preparation of novel artificial responsive symmetric/asymmetric single nanochannel systems under various symmetric/asymmetric stimuli is presented for the first time. The author's research work utilizes ion track etching polymer nanochannels with different shapes as examples to demonstrate the feasibility of the design strategy for building novel artificial functional nanochannels using various symmetric/asymmetric physicochemical modifications. The development of these nanochannels and their potential applications is a burgeoning new area of research, and a number of exciting breakthroughs may be anticipated in the near future from the concepts and results reported in this thesis. Research into artificial functional nanochannels continues to drive new developments of various real-world applications, such as biosensors, energy conversion systems and nanofluidic devices. The work in this thesis has led to more than 15 publications in high-profile journals.
Bio-inspired Catalysts (Topics in Organometallic Chemistry #25)
by Thomas R. WardWith the aim of complementing well-established catalytic strategies for enantioselective catalysis, the field of artificial metalloenzymes has attracted increasing interest in the past decade. Artificial metalloenzymes result from the incorporation of a catalytically active organometallic moiety within a macromolecular host. Localization of the competent metal is ensured either by covalent, dative or supramolecular anchoring in either DNA or a protein scaffold. The properties of the resulting hybrid catalysts combine attractive features of both homogeneous and enzymatic catalysis. In particular, the optimization of such systems can be achieved both by chemical and genetic means. The book, consisting of five chapters written by leading experts, critically summarizes the state of the art in enantioselective epoxidation, sulfoxidation, fluorination, hydrogenation, allylic alkylation, Diels-Alder cycloadditions as well as Michael additions catalyzed by artificial metalloenzymes. This timely review unambiguously demonstrates the compatibility and complementarity of organometallic and enzymatic catalysis.
Bio-inspired Computation in Unmanned Aerial Vehicles
by Haibin Duan Pei LiBio-inspired Computation in Unmanned Aerial Vehicles focuses on the aspects of path planning, formation control, heterogeneous cooperative control and vision-based surveillance and navigation in Unmanned Aerial Vehicles (UAVs) from the perspective of bio-inspired computation. It helps readers to gain a comprehensive understanding of control-related problems in UAVs, presenting the latest advances in bio-inspired computation. By combining bio-inspired computation and UAV control problems, key questions are explored in depth, and each piece is content-rich while remaining accessible. With abundant illustrations of simulation work, this book links theory, algorithms and implementation procedures, demonstrating the simulation results with graphics that are intuitive without sacrificing academic rigor. Further, it pays due attention to both the conceptual framework and the implementation procedures. The book offers a valuable resource for scientists, researchers and graduate students in the field of Control, Aerospace Technology and Astronautics, especially those interested in artificial intelligence and Unmanned Aerial Vehicles. Professor Haibin Duan and Dr. Pei Li, both work at Beihang University (formerly Beijing University of Aeronautics & Astronautics, BUAA). Prof Duan's academic website is: http://hbduan. buaa. edu. cn
Bio-inspired Computing – Theories and Applications: 11th International Conference, BIC-TA 2016, Xi'an, China, October 28-30, 2016, Revised Selected Papers, Part I (Communications in Computer and Information Science #681)
by Maoguo Gong Linqiang Pan Tao Song Gexiang ZhangInternational Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA) is one of the flagship conferences on Bio-Computing, bringing together the world's leading scientists from different areas of Natural Computing. Since 2006, the conferences have taken place at Wuhan (2006), Zhengzhou (2007), Adelaide (2008), Beijing (2009), Liverpool & Changsha (2010), Malaysia (2011) and India (2012). Following the successes of previous events, the 8th conference is organized and hosted by Anhui University of Science and Technology in China. This conference aims to provide a high-level international forum that researchers with different backgrounds and who are working in the related areas can use to present their latest results and exchange ideas. Additionally, the growing trend in Emergent Systems has resulted in the inclusion of two other closely related fields in the BIC-TA 2013 event, namely Complex Systems and Computational Neuroscience. These proceedings are intended for researchers in the fields of Membrane Computing, Evolutionary Computing and Genetic Algorithms, DNA and Molecular Computing, Biological Computing, Swarm Intelligence, Autonomy-Oriented Computing, Cellular and Molecular Automata, Complex Systems, etc. Professor Zhixiang Yin is the Dean of the School of Science, Anhui University of Science & Technology, China. Professor Linqiang Pan is the head of the research group of Natural Computing at Huazhong University of Science and Technology, Wuhan, China. Professor Xianwen Fang also works at the Anhui University of Science & Technology.
Bio-inspired Computing – Theories and Applications: 11th International Conference, BIC-TA 2016, Xi'an, China, October 28-30, 2016, Revised Selected Papers, Part II (Communications in Computer and Information Science #682)
by Maoguo Gong Linqiang Pan Tao Song Gexiang ZhangInternational Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA) is one of the flagship conferences on Bio-Computing, bringing together the world's leading scientists from different areas of Natural Computing. Since 2006, the conferences have taken place at Wuhan (2006), Zhengzhou (2007), Adelaide (2008), Beijing (2009), Liverpool & Changsha (2010), Malaysia (2011) and India (2012). Following the successes of previous events, the 8th conference is organized and hosted by Anhui University of Science and Technology in China. This conference aims to provide a high-level international forum that researchers with different backgrounds and who are working in the related areas can use to present their latest results and exchange ideas. Additionally, the growing trend in Emergent Systems has resulted in the inclusion of two other closely related fields in the BIC-TA 2013 event, namely Complex Systems and Computational Neuroscience. These proceedings are intended for researchers in the fields of Membrane Computing, Evolutionary Computing and Genetic Algorithms, DNA and Molecular Computing, Biological Computing, Swarm Intelligence, Autonomy-Oriented Computing, Cellular and Molecular Automata, Complex Systems, etc. Professor Zhixiang Yin is the Dean of the School of Science, Anhui University of Science & Technology, China. Professor Linqiang Pan is the head of the research group of Natural Computing at Huazhong University of Science and Technology, Wuhan, China. Professor Xianwen Fang also works at the Anhui University of Science & Technology.
Bio-inspired Computing: 12th International Conference, BIC-TA 2017, Harbin, China, December 1–3, 2017, Proceedings (Communications in Computer and Information Science #791)
by Linqiang Pan Cheng He Hongwei Mo Yuxin ZhaoInternational Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA) is one of the flagship conferences on Bio-Computing, bringing together the world's leading scientists from different areas of Natural Computing. Since 2006, the conferences have taken place at Wuhan (2006), Zhengzhou (2007), Adelaide (2008), Beijing (2009), Liverpool & Changsha (2010), Malaysia (2011) and India (2012). Following the successes of previous events, the 8th conference is organized and hosted by Anhui University of Science and Technology in China. This conference aims to provide a high-level international forum that researchers with different backgrounds and who are working in the related areas can use to present their latest results and exchange ideas. Additionally, the growing trend in Emergent Systems has resulted in the inclusion of two other closely related fields in the BIC-TA 2013 event, namely Complex Systems and Computational Neuroscience. These proceedings are intended for researchers in the fields of Membrane Computing, Evolutionary Computing and Genetic Algorithms, DNA and Molecular Computing, Biological Computing, Swarm Intelligence, Autonomy-Oriented Computing, Cellular and Molecular Automata, Complex Systems, etc. Professor Zhixiang Yin is the Dean of the School of Science, Anhui University of Science & Technology, China. Professor Linqiang Pan is the head of the research group of Natural Computing at Huazhong University of Science and Technology, Wuhan, China. Professor Xianwen Fang also works at the Anhui University of Science & Technology.
Bio-inspired Computing: 13th International Conference, BIC-TA 2018, Beijing, China, November 2–4, 2018, Proceedings, Part I (Communications in Computer and Information Science #951)
by Linqiang Pan Xingyi Zhang Qingfu Zhang Jianyong Qiao Xinchao Zhao Xingquan Zuo Shanguo HuangThis two-volume set (CCIS 951 and CCIS 952) constitutes the proceedings of the 13th International Conference on Bio-inspired Computing: Theories and Applications, BIC-TA 2018, held in Beijing, China, in November 2018.The 88 full papers presented in both volumes were selected from 206 submissions. The papers deal with studies abstracting computing ideas such as data structures, operations with data, ways to control operations, computing models from living phenomena or biological systems such as evolution, cells, neural networks, immune systems, swarm intelligence.
Bio-inspired Computing: 13th International Conference, BIC-TA 2018, Beijing, China, November 2–4, 2018, Proceedings, Part II (Communications in Computer and Information Science #952)
by Linqiang Pan Xingyi Zhang Qingfu Zhang Jianyong Qiao Xinchao Zhao Xingquan Zuo Shanguo HuangThis two-volume set (CCIS 951 and CCIS 952) constitutes the proceedings of the 13th International Conference on Bio-inspired Computing: Theories and Applications, BIC-TA 2018, held in Beijing, China, in November 2018.The 88 full papers presented in both volumes were selected from 206 submissions. The papers deal with studies abstracting computing ideas such as data structures, operations with data, ways to control operations, computing models from living phenomena or biological systems such as evolution, cells, neural networks, immune systems, swarm intelligence.
Bio-inspired Computing: 14th International Conference, BIC-TA 2019, Zhengzhou, China, November 22–25, 2019, Revised Selected Papers, Part I (Communications in Computer and Information Science #1159)
by Jing Liang Linqiang Pan Boyang QuThis two-volume set (CCIS 1159 and CCIS 1160) constitutes the proceedings of the 14th International Conference on Bio-inspired Computing: Theories and Applications, BIC-TA 2019, held in Zhengzhou, China, in November 2019.The 121 full papers presented in both volumes were selected from 197 submissions. The papers are organized according to the topical headings: evolutionary computation and swarm intelligence; bioinformatics and systems biology; complex networks; DNA and molecular computing; neural networks and articial intelligence.
Bio-inspired Computing: 14th International Conference, BIC-TA 2019, Zhengzhou, China, November 22–25, 2019, Revised Selected Papers, Part II (Communications in Computer and Information Science #1160)
by Jing Liang Linqiang Pan Boyang QuThis two-volume set (CCIS 1159 and CCIS 1160) constitutes the proceedings of the 14th International Conference on Bio-inspired Computing: Theories and Applications, BIC-TA 2019, held in Zhengzhou, China, in November 2019.The 122 full papers presented in both volumes were selected from 197 submissions. The papers in the two volumes are organized according to the topical headings: evolutionary computation and swarm intelligence; bioinformatics and systems biology; complex networks; DNA and molecular computing; neural networks and articial intelligence.
Bio-inspired Information and Communication Technologies: 11th EAI International Conference, BICT 2019, Pittsburgh, PA, USA, March 13–14, 2019, Proceedings (Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering #289)
by Yang Cai William Casey Adriana Compagnoni Bud MishraThis book constitutes the refereed conference proceedings of the 11th International Conference on Bio-Inspired Information and Communications Technologies, held in Pittsburgh, PA, USA, in March 2019. The 13 revised full papers and 2 short papers were selected from 29 submissions. Past iterations of the conference have attracted contributions in Direct Bioinspiration (physical biological materials and systems used within technology) as well as Indirect Bioinspiration (biological principles, processes and mechanisms used within the design and application of technology). This year, the scope has expanded to include a third thrust: Foundational Bioinspiration (bioinspired aspects of game theory, evolution, information theory, and philosophy of science).
Bio-inspired Information and Communication Technologies: 12th EAI International Conference, BICT 2020, Shanghai, China, July 7-8, 2020, Proceedings (Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering #329)
by Tadashi Nakano Lin Lin Yifan Chen Mohammad Upal Mahfuz Weisi GuoThis book constitutes the refereed conference proceedings of the 12th International Conference on Bio-inspired Information and Communications Technologies, held in Shanghai, China, in July 2020. Due to the safety concerns and travel restrictions caused by COVID-19, BICT 2020 took place online in a live stream. BICT 2020 aims to provide a world-leading and multidisciplinary venue for researchers and practitioners in diverse disciplines that seek the understanding of key principles, processes and mechanisms in biological systems and leverage those understandings to develop novel information and communications technologies (ICT). The 20 full and 8 short papers were carefully revied and selected from 56 submissions. In addition to the main track targeting broad and mainstream research topics, BICT 2020 includes four special tracks with focused research topics on internet of everything, intelligent internet of things and network applications, intelligent sensor network, and data-driven intelligent modeling, application and optimization.
Bio-inspired Information and Communications Technologies: 14th EAI International Conference, BICT 2023, Okinawa, Japan, April 11-12, 2023, Proceedings (Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering #512)
by Tadashi Nakano Yifan Chen Dezhong YaoThis book constitutes the refereed conference proceedings of the 14th International Conference on Bio-inspired Information and Communications Technologies, held in Okinawa, Japan, during April 11-12, 2023. The 17 full papers were carefully reviewed and selected from 33 submissions. The papers focus on the latest research that leverages the understanding of key principles, processes, and mechanisms in biological systems for development of novel information and communications technologies (bio-inspired ICT). BICT 2023 will also highlight innovative research and technologies being developed for biomedicine that are inspired by ICT (ICT-inspired biomedicine).
Bio-inspired Information and Communications Technologies: 15th EAI International Conference, BICT 2024, Quzhou, China, August 15–16, 2024, Proceedings (Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering #592)
by Kun Yang Yue Sun Yifan ChenThis book constitutes the refereed proceedings of the 15th EAI International Conference on Bio-inspired Information and Communications Technologies, BICT 2024, held in Quzhou, China, during August 15–16, 2024. The 16 full papers included in this book were carefully reviewed and selected from 52 submissions. They were organized in topical sections as follows: Asia-Pacific Workshop on Molecular Communications; Bio-inspired ICT; and ICT-inspired Biomedicine.
Bio-inspired Materials for Biomedical Engineering
by Chelsea M. Kirschner Anthony B. BrennanThis book covers the latest bio-inspired materials synthesis techniques and biomedical applications that are advancing the field of tissue engineering. Bio-inspired concepts for biomedical engineering are at the forefront of tissue engineering and regenerative medicine. Scientists, engineers and physicians are working together to replicate the sophisticated hierarchical organization and adaptability found in nature and selected by evolution to recapitulate the cellular microenvironment. This book demonstrates the dramatic clinical breakthroughs that have been made in engineering all four of the major tissue types and modulating the immune system.Part I (Engineering Bio-inspired Material Microenvironments) covers Bio-inspired Presentation of Chemical Cues, Bio-inspired Presentation of Physical Cues, and Bio-inspired Integration of Natural Materials. Part II (Bio-inspired Tissue Engineering) addresses tissue engineering in epithelial tissue, muscle tissue, connective tissue, and the immune system.
Bio-inspired Motor Control Strategies for Redundant and Flexible Manipulator with Application to Tooling Tasks (SpringerBriefs in Applied Sciences and Technology)
by Vijender Kumar Solanki Nguyen Ho Quang Gia Hoang PhanThis book presents a multi-disciplinary view of all aspects of rehabilitation robotics and non-invasive surgery, ideal for anyone new to the field. It includes perspectives from both engineers and clinicians. For skilled researchers and clinicians, it also summarizes current robot technologies and their application to various pathologies. The book will help the readers to develop the know-how and expertise necessary to guide those seeking a comprehensive understanding of this topic through their use of several commercial devices for robotic rehabilitation. The book targets the implementation of efficient robot strategies to facilitate the re-acquisition of motor skills. This technology incorporates the outcomes of behavioral studies on motor learning and its neural correlates into the design, implementation, and validation of robot agents that behave as optimal trainers, efficiently exploiting the structure and plasticity of the human sensorimotor systems.
Bio-inspired Neurocomputing (Studies in Computational Intelligence #903)
by Akash Kumar Bhoi Valentina E. Balas Pradeep Kumar Mallick Chuan-Ming LiuThis book covers the latest technological advances in neuro-computational intelligence in biological processes where the primary focus is on biologically inspired neuro-computational techniques. The theoretical and practical aspects of biomedical neural computing, brain-inspired computing, bio-computational models, artificial intelligence (AI) and machine learning (ML) approaches in biomedical data analytics are covered along with their qualitative and quantitative features. The contents cover numerous computational applications, methodologies and emerging challenges in the field of bio-soft computing and bio-signal processing. The authors have taken meticulous care in describing the fundamental concepts, identifying the research gap and highlighting the problems with the strategical computational approaches to address the ongoing challenges in bio-inspired models and algorithms. Given the range of topics covered, this book can be a valuable resource for students, researchers as well as practitioners interested in the rapidly evolving field of neurocomputing and biomedical data analytics.
Bio-inspired Routing Protocols for Vehicular Ad-Hoc Networks
by Abdelhamid Mellouk Salim BitamVehicular Ad-Hoc Networks (VANETs) play a key role to develop Intelligent Transportation Systems (ITS) aiming to achieve road safety and to guaranty needs of drivers and passengers, in addition to improve the transportation productivity. One of the most important challenges of this kind of networks is the data routing between VANET nodes which should be routed with high level of Quality of Service (QoS) to ensure receiving messages in the time. Then, the driver can take the appropriate decision to improve the road safety. In the literature, there are several routing protocols for VANETs which are more or less reliable to reach safety requirements. In this book, we start by describing all VANET basic concepts such as VANET definition, VANET versus Mobile ad-Hoc Network (MANET), architectures, routing definition and steps, Quality of Service (QoS) for VANET Routing, Metrics of evaluation, Experimentation, and simulation of VANETs, mobility patterns of VANET etc. Moreover, different routing protocols for routing in VANETs will be described. We propose two main categories to be presented: classical routing and bio-inspired routing. Concerning classical VANET, main principles and all phases will be overviewed, as well as, their two sub-categories which are topological and geographical protocols. After that, we propose a new category called bio-inspired routing which is inspired by natural phenomenon such as Ant colony, Bee life, Genetic operators etc. We present also, some referential protocols as example of each category. In this book, we focus on the idea of how to apply bio-inspired principle into VANET routing to improve road safety, and to ensure QoS of vehicular applications.
Bio-inspired Structured Adhesives: Biological Prototypes, Fabrication, Tribological Properties, Contact Mechanics, and Novel Concepts (Biologically-Inspired Systems #9)
by Stanislav N. Gorb Lars Heepe Longjian XueThis book deals with the adhesion, friction and contact mechanics of living organisms. Further, it presents the remarkable adhesive abilities of the living organisms which inspired the design of novel micro- and nanostructured adhesives that can be used in various applications, such as climbing robots, reusable tapes, and biomedical bandages. The technologies for both the synthesis and construction of bio-inspired adhesive micro- and nanostructures, as well as their performance, are discussed in detail. Representatives of several animal groups, such as insects, spiders, tree frogs, and lizards, are able to walk on (and therefore attach to) tilted, vertical surfaces, and even ceilings in different environments. Studies have demonstrated that their highly specialized micro- and nanostructures, in combination with particular surface chemistries, are responsible for this impressive and reversible adhesion. These structures can maximize the formation of large effective contact areas on surfaces of varying roughness and chemical composition under different environmental conditions.
Bio-inspired Studies on Adhesion of a Thin Film on a Rigid Substrate (Springer Theses)
by Zhilong PengThe thesis systematically investigates the factors which influence many animals' robust adhesion abilities and micro-reversible adhesion mechanisms, including the geometric principles of their adhesion, relative humidity, surface roughness and pre-tension. Studies exploring biological adhesion mechanisms are not only of great significance for the design of advanced adhesive materials and adhesion systems for micro-climbing robots, but also very helpful for resolving the problem of adhesion failure in MEMS/NEMS.
Bio-inspired Systems and Applications: 9th International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2022, Puerto de la Cruz, Tenerife, Spain, May 31 – June 3, 2022, Proceedings, Part II (Lecture Notes in Computer Science #13259)
by Hojjat Adeli José Manuel Ferrández Vicente José Ramón Álvarez-Sánchez Félix de la Paz LópezThe two volume set LNCS 13258 and 13259 constitutes the proceedings of the International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2022, held in Puerto de la Cruz, Tenerife, Spain in May – June 2022. The total of 121 contributions was carefully reviewed and selected from 203 submissions. The papers are organized in two volumes, with the following topical sub-headings: Part I: Machine Learning in Neuroscience; Neuromotor and Cognitive Disorders; Affective Analysis; Health Applications Part II: Affective Computing in Ambient Intelligence; Bioinspired Computing Approaches; Machine Learning in Computer Vision and Robot; Deep Learning; Artificial Intelligence Applications.
Bio-inspiring Cyber Security and Cloud Services: Trends And Innovations (Intelligent Systems Reference Library #70)
by Janusz Kacprzyk Aboul Ella Hassanien Tai-Hoon Kim Ali Ismail AwadThis volume presents recent research in cyber security and reports how organizations can gain competitive advantages by applying the different security techniques in real-world scenarios. The volume provides reviews of cutting-edge technologies, algorithms, applications and insights for bio-inspiring cyber security-based systems. The book will be a valuable companion and comprehensive reference for both postgraduate and senior undergraduate students who are taking a course in cyber security. The volume is organized in self-contained chapters to provide greatest reading flexibility.
Bio-management of Postharvest Diseases and Mycotoxigenic Fungi (World Food Preservation Center Book Series)
by Neeta Sharma and Avantina S. BhandariThere is an ever-increasing demand for more food but one of the stumbling blocks to achieving this goal is quality and quantity losses due to various pests and pathogens and the mycotoxins synthesized by these harmful biotic entities. Thus far, strategies employed to manage these post-harvest diseases and mycotoxins decontamination include established physical, cultural, and chemical methods. Recently, the application of chemicals to reduce decay and deterioration caused by various pathogens has been impeded as these hazardous chemicals contaminate the environment, enter the food chain, and destroy beneficial microorganisms and pests by aiming at non-target microorganisms. In light of this, the usage of eco-friendly and non-polluting alternatives to chemical pesticides is the call of the hour. Bio-management of Postharvest Diseases and Mycotoxigenic Fungi deals with the current state and future prospects of using various bio-management techniques that are natural, eco-friendly, and environmentally safe. It aims to increase awareness of their potential as well as sensitizing readers to the various aspects of biologicals in pest control. Key Features: Highlights classical versus new techniques adopted to manage postharvest diseases Discusses novel approaches in managing fungal spoilage and mycotoxin decontamination Provides readers with a 360-degree perspective of the pre- and post-harvest quality mycotoxin decontamination research being conducted Details proposals of new ideas to ensure a food secure and pesticide-free world This book disseminates notable and diversified scientific work carried out by leading experts in their own field. Written by qualified scientists in each of their respective disciplines, it can serve as a current and comprehensive treatise on the emerging field of bio-management of postharvest diseases and mycotoxin decontamination by products that are "generally regarded as safe."