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Applications of Computational Intelligence in Management & Mathematics: 8th ICCM, Nirjuli, AP, India, July 29–30, 2022 (Springer Proceedings in Mathematics & Statistics #417)
by Madhusudhan Mishra Nishtha Kesswani Imene BriguiComputational intelligence consists of those techniques that imitate the human brain and nature to adopt the decision-making approach. This book contains selected papers from the 8th International Conference on Computers, Management and Mathematical Sciences (ICCM) 2022 about fuzzy systems, neural networks and evolutionary computation that can address stochastic environments where reasoning is a significant attribute to derive potential solutions and focus on the business domain's computational aspects.This is a conference proceedings for scholars/students who are using the powerful algorithms, concepts and principles of computational intelligence in a wide spectrum of research cases.
Applications of Computational Intelligence Techniques in Communications (Advances in Manufacturing, Design and Computational Intelligence Techniques)
by Mridul Gupta, Pawan Kumar Verma, Rajesh Verma and Dharmendra Kr. UpadhyayThe book titled "Applications of Computational Intelligence Techniques in Communications" is a one-stop platform for the researchers, academicians, and people from industry to get a thorough understanding of the latest research in the field of communication engineering. Over the past decade, a manyfold increase in the use of computational intelligence techniques has been identified for obtaining the most optimal and timely solution to a problem. The various aspects covering the significant contribution of numerous computational intelligence techniques have been discussed in detail in this book. Today’s era of machine learning and Internet of Things (IoT) is demanding as high as possible data rate which has resulted into tremendous increased speed of communication. To match-up the pace, the computational intelligence is posing to be the most efficient and favourite tool. The book aims to cover the current technological advancements in the field of communication engineering and give a detailed prospect of computational intelligence to its readers. This book will be a great support to the people working in the field of IoT, machine learning, healthcare, optimization, filter design, 5G and beyond, signal processing etc. The chapters included here will expose its audience to various newly introduced and advanced computational intelligence techniques applicable in communication domain. The readers will be exposed multiple interdisciplinary areas of research in communication and will get the motivation to work in collaboration with other professionals from both the academia and industry.
Applications of Computational Learning and IoT in Smart Road Transportation System (Springer Tracts on Transportation and Traffic #22)
by Saurav Mallik Hong Qin Subrata Nandi Munshi Yusuf Alam Arup Roy Tanvir Habib SardarThis book discusses machine learning and AI in real-time image processing for road transportation and traffic management. There is a growing need for affordable solutions that make use of cutting-edge technology like artificial intelligence (AI), machine learning (ML), and the Internet of Things (IoT). The efficiency, sustainability, and safety of transport networks can be greatly increased by implementing an Internet of Things (IoT) and machine learning (ML)-based smart road transport system. Install sensors on roadways and intersections to gather data on traffic conditions in real time, such as vehicle density, speed, and flow. Predicting traffic patterns is done by analyzing the gathered data using machine learning algorithms. This can lessen traffic, enhance overall traffic management, and optimize traffic signal timings. Vehicles equipped with Internet of Things devices can have their health monitored in real time. Parameters including lane changes, brake condition, tire pressure, and engine performance can all be monitored by sensors. Based on the gathered data, ML models are used to forecast probable maintenance problems. By scheduling preventive maintenance, failures can be avoided and overall road safety can be increased. Create a smartphone app that would enable drivers to locate parking spots in their area. To forecast parking availability based on past data, the time of day, and special events, apply machine learning algorithms. Integrate Internet of Things (IoT) sensors into fleet vehicles to monitor their performance, location, and fuel consumption. To maximize fleet efficiency, reduce fuel consumption, and plan routes more effectively, apply machine learning algorithms. Train ML models to forecast the quickest and most efficient routes with the help of historical data analysis. Route recommendations for drivers or fleet management systems can be constantly adjusted with real-time updates, which contain real-time data on road conditions, accidents, and construction. To guarantee smooth integration and efficient implementation, government organizations, transportation providers, and technology firms must work together.
Applications of Computational Mechanics in Geotechnical Engineering
by E.A.VARGAS; R.F.AZEVEDO; L.M.RIBEIRO E SOUSA; M.MATOS FERNANDESThe development of constitutive relations for geotechnical materials, with the help of numerical models, have increased notably the ability to predict and to interpret the mechanical behaviour of geotechnical works. This work covers rock excavations, soil excavations, earth fills and dams.
Applications of Computational Mechanics in Geotechnical Engineering
by M. Matos Fernandes, L. Ribeiro E Sousa, R.F. Azevedo and E.A. VargasThe third international workshop on applications of computational mechanics in geotechnical engineering discussed the area of computational mechanics applied to geotechnical problems. During the event, topics such as ground reinforcement and computational models were covered.
Applications of Computational Mechanics in Geotechnical Engineering
by R.F. Azevedo & E.A. VargasThe development of constitutive relations for geotechnical materials, with the help of numerical models, have increased notably the ability to predict and to interpret mechanical behaviour of geotechnical works. These proceedings cover the applications of computational mechanics in this area.
Applications of Computational Methods in Manufacturing and Product Design: Select Proceedings of IPDIMS 2020 (Lecture Notes in Mechanical Engineering)
by B. B. V. L. Deepak D. R. K. Parhi B. B. Biswal Pankaj C. JenaThis book presents the select proceedings of the conference of Innovative Product Design and Intelligent Manufacturing System (IPDIMS 2020), held at the National Institute of Technology, Rourkela, India. The book addresses latest methods and advanced tools from different areas of design and manufacturing technology. The main topics covered include computational methods for robotics, mechatronics and human-computer interaction; computer-aided design, manufacturing and engineering; aesthetics, ergonomics and UX/UI design; smart manufacturing and expert systems. The contents of this book will be useful for researchers as well as professionals working in the areas of industrial design, mechatronics, robotics, and automation.
Applications of Computational Tools in Biosciences and Medical Engineering (Advanced Structured Materials #71)
by Andreas Öchsner Holm AltenbachThis monograph presents the latest developments and applications of computational tools related to the biosciences and medical engineering. Computational tools such as the finite element methods, computer-aided design and optimization as well as visualization techniques such as computed axial tomography open completely new research fields with a closer joining of the engineering and bio/medical area. Nevertheless, there are still hurdles since both directions are based on quite different ways of education. Often even the "language" is sometimes different from discipline to discipline. This monograph reports the results of different multi-disciplinary research projects, for example, from the areas of scaffolds and synthetic bones, implants and medical devices and medical materials. It is also shown that the application of computational methods often necessitates mathematical and experimental methods.
Applications of Computer Vision and Drone Technology in Agriculture 4.0
by Siddharth Singh Chouhan Uday Pratap Singh Sanjeev JainThis edited book focus on two most emerging areas and covers the different aspects of computer vision and drone technology in the field of agriculture. It comprises various applications including segmentation/classification of plant diseases, monitoring of crops, grade/quality estimation of fruits/flowers/vegetables/crops, surveillance, soil deficiency estimation, crop/plant growth estimation, canopy measurement, water stress management, vegetation indices calculation, weed detection, and spraying, among other. It has 17 chapters contributed by experts in the field of computer vision, drone technology, deep learning, machine learning, artificial intelligence, image processing, agriculturist, and plant pathologists. The recent development of high-end computing devices and the adaptation of unmanned aerial vehicles has provided a mechanism to automate traditional agriculture practices. The on-field or aerial images captured using cameras are processed with the help of intelligent algorithms, and an assessment is drawn for further recommendations. This practice is efficient in provisioning an accurate, timely, and economical decision-making system to overcome the problems of agricultural field experts and farmers. This process is advantageous in increasing the quality and quantity of crop yields. This book serves as an excellent guide to students, researchers, scientists, and field experts in directing their work toward this domain and developing/designing models. Further, this book is useful for pathologists, biotechnologists, seed production specialists, breeders, market managers, and other stakeholders associated with underlying technology or market development from the public and private sectors.
Applications of Cuckoo Search Algorithm and its Variants (Springer Tracts in Nature-Inspired Computing)
by Nilanjan DeyThis book highlights the basic concepts of the CS algorithm and its variants, and their use in solving diverse optimization problems in medical and engineering applications. Evolutionary-based meta-heuristic approaches are increasingly being applied to solve complicated optimization problems in several real-world applications. One of the most successful optimization algorithms is the Cuckoo search (CS), which has become an active research area to solve N-dimensional and linear/nonlinear optimization problems using simple mathematical processes. CS has attracted the attention of various researchers, resulting in the emergence of numerous variants of the basic CS with enhanced performance since 2019.
Applications of Decision Science in Management: Proceedings of International Conference on Decision Science and Management (ICDSM 2022) (Smart Innovation, Systems and Technologies #260)
by Taosheng Wang Srikanta Patnaik Wu Chun Ho Jack Maria Leonilde Rocha VarelaThis book covers research trends of data science and management involving cutting edge technologies and novel research directions from diverse fields of industries, business and government sectors. It involves usage of various advanced tools and techniques for understanding different data collected at the grassroot level to generate actionable insights for making crucial decisions. This book aims to serve as a reference book for researchers in the area of decision science for management. It covers alternative solutions with innovative ideas and issues from different fields of business management.
Applications of Diamond-like Carbon Coatings
by Abdul Wasy ZiaAn incisive guide to diamond-like carbon (DLC) coatings and their contemporary applications In Applications of Diamond-like Carbon Coatings, distinguished researcher Dr. Abdul Wasy Zia delivers an insightful and up-to-date discussion of the latest advancements in new and non-conventional applications of diamond-like carbon (DLC) coatings. The editor explains the transformation of typical topics into advanced applications of DLC, including tribology for future transportation solutions, green lubrication, invasive implants, MEMS, optical devices, and more. The book also details advanced and contemporary trends in DLC coatings, like material informatics involving artificial intelligence and machine learning, and new, net-zero applications, including energy storage batteries. Readers will also find: A thorough introduction to applications of DLC coatings in mechanics, transportation, medicine, and electrical and optical device manufacture Comprehensive explorations of emerging trends in DLC coatings, including green energy, data-centric approaches, textile and plastics, and carbon circularity from DLC coated productsPractical discussions of how small and medium industries can design and develop DLC coatings for broad engineering applications Complete treatments of the benefits and opportunities presented by DLC coating applications Perfect for postgraduate students and researchers with an interest in DLC coatings, Applications of Diamond-like Carbon Coatings will also benefit scholars and instructors in academia, technical managers, scientists, engineers, and corporate research and development professionals with backgrounds in chemistry, materials science, polymer chemistry, and physical chemistry.
Applications of Differential Equations in Engineering and Mechanics
by Kam Tim ChauThis second of two comprehensive reference texts on differential equations continues coverage of the essential material students they are likely to encounter in solving engineering and mechanics problems across the field - alongside a preliminary volume on theory. This book covers a very broad range of problems, including beams and columns, plates, shells, structural dynamics, catenary and cable suspension bridge, nonlinear buckling, transports and waves in fluids, geophysical fluid flows, nonlinear waves and solitons, Maxwell equations, Schrodinger equations, celestial mechanics and fracture mechanics and dynamics. The focus is on the mathematical technique for solving the differential equations involved. All readers who are concerned with and interested in engineering mechanics problems, climate change, and nanotechnology will find topics covered in this book providing valuable information and mathematics background for their multi-disciplinary research and education.
Applications of Electrochemistry and Nanotechnology in Biology and Medicine I (Modern Aspects of Electrochemistry #52)
by Noam EliazThe study of electrochemical nanotechnology has emerged as researchers apply electrochemistry to nanoscience and nanotechnology. These two related volumes in the Modern Aspects of Electrochemistry Series review recent developments and breakthroughs in the specific application of electrochemistry and nanotechnology to biology and medicine. Internationally renowned experts contribute chapters that address both fundamental and practical aspects of several key emerging technologies in biomedicine, such as the processing of new biomaterials, biofunctionalization of surfaces, characterization of biomaterials, discovery of novel phenomena and biological processes occurring at the molecular level.
Applications of Electrodynamics in Theoretical Physics and Astrophysics
by David GinsburgTreats certain problems and methods of theoretical physics and astrophysics which are associated with microscopic and macroscopic electrodynamics and material concerning the theory of transition radiation and transition scattering.
Applications of Emerging Memory Technology: Beyond Storage (Springer Series in Advanced Microelectronics #63)
by Manan SuriThe book intends to bring under one roof research work of leading groups from across the globe working on advanced applications of emerging memory technology nanodevices. The applications dealt in the text will be beyond conventional storage application of semiconductor memory devices. The text will deal with material and device physical principles that give rise to interesting characteristics and phenomena in the emerging memory device that can be exploited for a wide variety of applications. Applications covered will include system-centric cases such as – caches, NVSRAM, NVTCAM, Hybrid CMOS-RRAM circuits for: Machine Learning, In-Memory Computing, Hardware Security - RNG/PUF, Biosensing and other misc beyond storage applications. The book is envisioned for multi-purpose use as a textbook in advanced UG/PG courses and a research text for scientists working in the domain.
Applications of Encapsulation and Controlled Release (Encapsulation and Controlled Release)
by Munmaya K. MishraThe field of encapsulation, especially microencapsulation, is a rapidly growing area of research and product development. Applications of Encapsulation and Controlled Release offers a broad perspective on a variety of applications and processes, including, up-to-date research, figures, tables, illustrations, and references. Written at a level comprehensible to non-experts, it is a rich source of technical information and current practices in research and industry.
Applications of Environmental Aquatic Chemistry: A Practical Guide, Third Edition
by Eugene R. WeinerProfessionals and students who come from disciplines other than chemistry need a concise yet reliable guide that explains key concepts in environmental chemistry, from the fundamental science to the necessary calculations for applying them. Updated and reorganized, Applications of Environmental Aquatic Chemistry: A Practical Guide, Third Edition pr
Applications of EPR and NMR Spectroscopy in Homogeneous Catalysis
by Evgenii Talsi Konstantin BryliakovThis book reviews advances in important and practically relevant homogeneous catalytic transformations, such as single-site olefin polymerizations and chemo- and stereo-selective oxidations. Close attention is paid to the experimental investigation of the active sites of catalytic oxidation systems and their mechanisms. Major subjects include the applications of NMR and EPR spectroscopic techniques and data obtained by other physical methods. The book addresses a broad readership and focus on widespread techniques available in labs with NMR and EPR spectrometers.
Applications of Evolutionary Computation: 24th International Conference, EvoApplications 2021, Held as Part of EvoStar 2021, Virtual Event, April 7–9, 2021, Proceedings (Lecture Notes in Computer Science #12694)
by Pedro A. Castillo Juan Luis Jiménez LaredoThis book constitutes the refereed proceedings of the 24th International Conference on Applications of Evolutionary Computation, EvoApplications 2021, held as part of Evo*2021, as Virtual Event, in April 2021, co-located with the Evo*2021 events EuroGP, EvoCOP, and EvoMUSART. The 51 revised full papers presented in this book were carefully reviewed and selected from 78 submissions. The papers cover a wide spectrum of topics, ranging from applications of evolutionary computation; applications of deep bioinspired algorithms; soft computing applied to games; machine learning and AI in digital healthcare and personalized medicine; evolutionary computation in image analysis, signal processing and pattern recognition; evolutionary machine learning; parallel and distributed systems; and applications of nature inspired computing for sustainability and development.
Applications of Evolutionary Computation: 23rd European Conference, EvoApplications 2020, Held as Part of EvoStar 2020, Seville, Spain, April 15–17, 2020, Proceedings (Lecture Notes in Computer Science #12104)
by Pedro A. Castillo Juan Luis Jiménez Laredo Francisco Fernández de VegaThis book constitutes the refereed proceedings of the 23rd European Conference on Applications of Evolutionary Computation, EvoApplications 2020, held as part of Evo*2020, in Seville, Spain, in April 2020, co-located with the Evo*2020 events EuroGP, EvoMUSART and EvoCOP.The 44 full papers presented in this book were carefully reviewed and selected from 62 submissions. The papers cover a wide spectrum of topics, ranging from applications of bio-inspired techniques on social networks, evolutionary computation in digital healthcare and personalized medicine, soft-computing applied to games, applications of deep-bioinspired algorithms, parallel and distributed systems, and evolutionary machine learning.
Applications of Field-Programmable Gate Arrays in Scientific Research
by Hartmut F.-W. Sadrozinski Jinyuan WuFocusing on resource awareness in field-programmable gate array (FPGA) design, Applications of Field-Programmable Gate Arrays in Scientific Research covers the principle of FPGAs and their functionality. It explores a host of applications, ranging from small one-chip laboratory systems to large-scale applications in "big science." The book first de
Applications of Finite Element Methods for Reliability Studies on ULSI Interconnections (Springer Series in Reliability Engineering)
by Yuejin Hou Zhenghao Gan Cher Ming Tan Wei LiApplications of Finite Element Methods for Reliability Studies on ULSI Interconnections provides a detailed description of the application of finite element methods (FEMs) to the study of ULSI interconnect reliability. Over the past two decades the application of FEMs has become widespread and continues to lead to a much better understanding of reliability physics. To help readers cope with the increasing sophistication of FEMs' applications to interconnect reliability, Applications of Finite Element Methods for Reliability Studies on ULSI Interconnections will: introduce the principle of FEMs;review numerical modeling of ULSI interconnect reliability;describe the physical mechanism of ULSI interconnect reliability encountered in the electronics industry; anddiscuss in detail the use of FEMs to understand and improve ULSI interconnect reliability from both the physical and practical perspective, incorporating the Monte Carlo method.A full-scale review of the numerical modeling methodology used in the study of interconnect reliability highlights useful and noteworthy techniques that have been developed recently. Many illustrations are used throughout the book to improve the reader's understanding of the methodology and its verification. Actual experimental results and micrographs on ULSI interconnects are also included. Applications of Finite Element Methods for Reliability Studies on ULSI Interconnections is a good reference for researchers who are working on interconnect reliability modeling, as well as for those who want to know more about FEMs for reliability applications. It gives readers a thorough understanding of the applications of FEM to reliability modeling and an appreciation of the strengths and weaknesses of various numerical models for interconnect reliability.
Applications of Fire Engineering: Proceedings of the International Conference of Applications of Structural Fire Engineering (ASFE 2017), September 7-8, 2017, Manchester, United Kingdom
by Martin Gillie & Yong WangThis book holds the proceedings of the Conference on Applications of Structural Fire Engineering (ASFE 2017), held on September 7-8, 2017, in Manchester, UK. The ASFE’17 conference will be the next in a series (2009, 2011, 2013, 2015) of successful conferences that aim to bring together experts and specialists in design against fire from all over the world to share ideas and to acquire knowledge in the field of structural fire engineering. Practice in structural engineering increasingly accepts the benefits of performancebased approaches to the design of structures for fire resistance. This conference will focus on the application of design methods, both manual and computational, for structures to resist fire. Particularly relevant themes will be fire modelling, simulation of the heat transfer between fire and structures, and modelling of structural behaviour at elevated temperatures using numerical methods or software implementations of design codes.
Applications of Firefly Algorithm and its Variants: Case Studies and New Developments (Springer Tracts in Nature-Inspired Computing)
by Nilanjan DeyThe book discusses advantages of the firefly algorithm over other well-known metaheuristic algorithms in various engineering studies. The book provides a brief outline of various application-oriented problem solving methods, like economic emission load dispatch problem, designing a fully digital controlled reconfigurable switched beam nonconcentric ring array antenna, image segmentation, span minimization in permutation flow shop scheduling, multi-objective load dispatch problems, image compression, etc., using FA and its variants. It also covers the use of the firefly algorithm to select features, as research has shown that the firefly algorithm generates precise and optimal results in terms of time and optimality. In addition, the book also explores the potential of the firefly algorithm to provide a solution to traveling salesman problem, graph coloring problem, etc