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2022 (3)

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Book
Advanced Biomaterials for Orthopaedic Application : The Challenge of New Composites and Alloys Used as Medical Devices
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Year: 2020 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute

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Abstract

This book covers a wide range of topics in the orthopaedic fields and can be used as a textbook for the final undergraduate engineering course or as a topic on tribology at the postgraduate level. This book can serve as a useful reference for academics, tribology, and materials researchers; mechanical, materials, and physics engineers; biomedical scientists and professionals in tribology; and related industries. The scientific interest in this book will be evident for many important centres of research, including laboratories and universities throughout the world.


Book
Advanced Biomaterials for Orthopaedic Application : The Challenge of New Composites and Alloys Used as Medical Devices
Author:
Year: 2020 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute

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Abstract

This book covers a wide range of topics in the orthopaedic fields and can be used as a textbook for the final undergraduate engineering course or as a topic on tribology at the postgraduate level. This book can serve as a useful reference for academics, tribology, and materials researchers; mechanical, materials, and physics engineers; biomedical scientists and professionals in tribology; and related industries. The scientific interest in this book will be evident for many important centres of research, including laboratories and universities throughout the world.


Book
Advanced Biomaterials for Orthopaedic Application : The Challenge of New Composites and Alloys Used as Medical Devices
Author:
Year: 2020 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute

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Bookmark

Abstract

This book covers a wide range of topics in the orthopaedic fields and can be used as a textbook for the final undergraduate engineering course or as a topic on tribology at the postgraduate level. This book can serve as a useful reference for academics, tribology, and materials researchers; mechanical, materials, and physics engineers; biomedical scientists and professionals in tribology; and related industries. The scientific interest in this book will be evident for many important centres of research, including laboratories and universities throughout the world.


Book
Evolutionary Computation 2020
Authors: ---
Year: 2021 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute

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Abstract

Intelligent optimization is based on the mechanism of computational intelligence to refine a suitable feature model, design an effective optimization algorithm, and then to obtain an optimal or satisfactory solution to a complex problem. Intelligent algorithms are key tools to ensure global optimization quality, fast optimization efficiency and robust optimization performance. Intelligent optimization algorithms have been studied by many researchers, leading to improvements in the performance of algorithms such as the evolutionary algorithm, whale optimization algorithm, differential evolution algorithm, and particle swarm optimization. Studies in this arena have also resulted in breakthroughs in solving complex problems including the green shop scheduling problem, the severe nonlinear problem in one-dimensional geodesic electromagnetic inversion, error and bug finding problem in software, the 0-1 backpack problem, traveler problem, and logistics distribution center siting problem. The editors are confident that this book can open a new avenue for further improvement and discoveries in the area of intelligent algorithms. The book is a valuable resource for researchers interested in understanding the principles and design of intelligent algorithms.

Keywords

Technology: general issues --- global optimization --- cuckoo search algorithm --- Q-learning --- mutation --- self-adaptive step size --- evolutionary computation --- playtesting --- game feature --- game simulation --- game trees --- playtesting metric --- validation --- Pareto optimality --- h-index --- ranking --- dominance --- Pareto-front --- multi-indicators --- multi-metric --- multi-resources --- citation --- universities ranking --- swarm intelligence --- simulated annealing --- krill herd --- particle swarm optimization --- quantum --- elephant herding optimization --- engineering optimization --- metaheuristic --- constrained optimization --- multi-objective optimization --- single objective optimization --- differential evolution --- success-history --- premature convergence --- turning-based mutation --- opposition-based learning --- ant colony optimization --- opposite path --- traveling salesman problems --- whale optimization algorithm --- WOA --- binary whale optimization algorithm --- bWOA-S --- bWOA-V --- feature selection --- classification --- dimensionality reduction --- menu planning problem --- evolutionary algorithm --- decomposition-based multi-objective optimisation --- memetic algorithm --- iterated local search --- diversity preservation --- single-objective optimization --- knapsack problem --- travelling salesman problem --- seed schedule --- many-objective optimization --- fuzzing --- bug detection --- path discovery --- evolutionary algorithms (EAs) --- coevolution --- dynamic learning --- performance indicators --- magnetotelluric --- one-dimensional inversions --- geoelectric model --- optimization problem --- multi-task optimization --- multi-task evolutionary computation --- knowledge transfer --- assortative mating --- unified search space --- quantum computing --- grey wolf optimizer --- 0-1 knapsack problem --- green shop scheduling --- fuzzy hybrid flow shop scheduling --- discrete artificial bee colony algorithm --- minimize makespan --- minimize total energy consumption


Book
Evolutionary Computation 2020
Authors: ---
Year: 2021 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute

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Abstract

Intelligent optimization is based on the mechanism of computational intelligence to refine a suitable feature model, design an effective optimization algorithm, and then to obtain an optimal or satisfactory solution to a complex problem. Intelligent algorithms are key tools to ensure global optimization quality, fast optimization efficiency and robust optimization performance. Intelligent optimization algorithms have been studied by many researchers, leading to improvements in the performance of algorithms such as the evolutionary algorithm, whale optimization algorithm, differential evolution algorithm, and particle swarm optimization. Studies in this arena have also resulted in breakthroughs in solving complex problems including the green shop scheduling problem, the severe nonlinear problem in one-dimensional geodesic electromagnetic inversion, error and bug finding problem in software, the 0-1 backpack problem, traveler problem, and logistics distribution center siting problem. The editors are confident that this book can open a new avenue for further improvement and discoveries in the area of intelligent algorithms. The book is a valuable resource for researchers interested in understanding the principles and design of intelligent algorithms.

Keywords

Technology: general issues --- global optimization --- cuckoo search algorithm --- Q-learning --- mutation --- self-adaptive step size --- evolutionary computation --- playtesting --- game feature --- game simulation --- game trees --- playtesting metric --- validation --- Pareto optimality --- h-index --- ranking --- dominance --- Pareto-front --- multi-indicators --- multi-metric --- multi-resources --- citation --- universities ranking --- swarm intelligence --- simulated annealing --- krill herd --- particle swarm optimization --- quantum --- elephant herding optimization --- engineering optimization --- metaheuristic --- constrained optimization --- multi-objective optimization --- single objective optimization --- differential evolution --- success-history --- premature convergence --- turning-based mutation --- opposition-based learning --- ant colony optimization --- opposite path --- traveling salesman problems --- whale optimization algorithm --- WOA --- binary whale optimization algorithm --- bWOA-S --- bWOA-V --- feature selection --- classification --- dimensionality reduction --- menu planning problem --- evolutionary algorithm --- decomposition-based multi-objective optimisation --- memetic algorithm --- iterated local search --- diversity preservation --- single-objective optimization --- knapsack problem --- travelling salesman problem --- seed schedule --- many-objective optimization --- fuzzing --- bug detection --- path discovery --- evolutionary algorithms (EAs) --- coevolution --- dynamic learning --- performance indicators --- magnetotelluric --- one-dimensional inversions --- geoelectric model --- optimization problem --- multi-task optimization --- multi-task evolutionary computation --- knowledge transfer --- assortative mating --- unified search space --- quantum computing --- grey wolf optimizer --- 0-1 knapsack problem --- green shop scheduling --- fuzzy hybrid flow shop scheduling --- discrete artificial bee colony algorithm --- minimize makespan --- minimize total energy consumption


Book
Evolutionary Computation 2020
Authors: ---
Year: 2021 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute

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Bookmark

Abstract

Intelligent optimization is based on the mechanism of computational intelligence to refine a suitable feature model, design an effective optimization algorithm, and then to obtain an optimal or satisfactory solution to a complex problem. Intelligent algorithms are key tools to ensure global optimization quality, fast optimization efficiency and robust optimization performance. Intelligent optimization algorithms have been studied by many researchers, leading to improvements in the performance of algorithms such as the evolutionary algorithm, whale optimization algorithm, differential evolution algorithm, and particle swarm optimization. Studies in this arena have also resulted in breakthroughs in solving complex problems including the green shop scheduling problem, the severe nonlinear problem in one-dimensional geodesic electromagnetic inversion, error and bug finding problem in software, the 0-1 backpack problem, traveler problem, and logistics distribution center siting problem. The editors are confident that this book can open a new avenue for further improvement and discoveries in the area of intelligent algorithms. The book is a valuable resource for researchers interested in understanding the principles and design of intelligent algorithms.

Keywords

global optimization --- cuckoo search algorithm --- Q-learning --- mutation --- self-adaptive step size --- evolutionary computation --- playtesting --- game feature --- game simulation --- game trees --- playtesting metric --- validation --- Pareto optimality --- h-index --- ranking --- dominance --- Pareto-front --- multi-indicators --- multi-metric --- multi-resources --- citation --- universities ranking --- swarm intelligence --- simulated annealing --- krill herd --- particle swarm optimization --- quantum --- elephant herding optimization --- engineering optimization --- metaheuristic --- constrained optimization --- multi-objective optimization --- single objective optimization --- differential evolution --- success-history --- premature convergence --- turning-based mutation --- opposition-based learning --- ant colony optimization --- opposite path --- traveling salesman problems --- whale optimization algorithm --- WOA --- binary whale optimization algorithm --- bWOA-S --- bWOA-V --- feature selection --- classification --- dimensionality reduction --- menu planning problem --- evolutionary algorithm --- decomposition-based multi-objective optimisation --- memetic algorithm --- iterated local search --- diversity preservation --- single-objective optimization --- knapsack problem --- travelling salesman problem --- seed schedule --- many-objective optimization --- fuzzing --- bug detection --- path discovery --- evolutionary algorithms (EAs) --- coevolution --- dynamic learning --- performance indicators --- magnetotelluric --- one-dimensional inversions --- geoelectric model --- optimization problem --- multi-task optimization --- multi-task evolutionary computation --- knowledge transfer --- assortative mating --- unified search space --- quantum computing --- grey wolf optimizer --- 0-1 knapsack problem --- green shop scheduling --- fuzzy hybrid flow shop scheduling --- discrete artificial bee colony algorithm --- minimize makespan --- minimize total energy consumption


Book
Recent Advances in Social Data and Artificial Intelligence 2019
Authors: --- ---
Year: 2022 Publisher: Basel MDPI - Multidisciplinary Digital Publishing Institute

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Abstract

The importance and usefulness of subjects and topics involving social data and artificial intelligence are becoming widely recognized. This book contains invited review, expository, and original research articles dealing with, and presenting state-of-the-art accounts pf, the recent advances in the subjects of social data and artificial intelligence, and potentially their links to Cyberspace.

Keywords

Information technology industries --- Computer science --- centrality metric --- graph visualisation --- visual analytics --- data processing --- social network --- stock market --- community detection --- complex networks --- Hadoop --- modularity increment --- geometric analysis --- lidar scanning signal --- micro-distortion --- detection technology --- TCD1209DG --- lossless signal transmission --- person re-identification --- multiple granularity features --- Siamese Multiple Granularity Network --- multi-channel weighted fusion loss --- temporal links prediction --- gravity model --- multilayer network --- label propagation algorithm --- H-index --- automatic speech recognition --- speech corpus --- text corpus --- data acquisition --- multi-layer neural network --- natural language processing --- markov switching --- breakpoint test --- crude oil price --- structural change --- artificial intelligence --- ice-snow tourism --- sustainable development --- Python --- text mining --- pancreatic cancer --- twin support vector machine --- linear kernel --- polynomial kernel --- RBF kernel --- cryptography --- RSA cryptosystem --- RSA cryptanalysis --- partial key exposure attack --- social network simulation --- ABMS --- Spark --- two-tier partition algorithm --- visual style --- context-aware --- preference analysis --- fashion recommendation --- Facebook advertising post --- social media marketing --- recommendation system --- topic model --- post engagement --- blockchain --- client/server --- electronic health records --- health information management --- privacy --- security --- innovation --- business --- machine learning --- decision tree --- predictive analytics --- social data science --- contingencies --- asymmetry --- tele-education --- digitalization --- ICT infrastructure --- digital teacher training --- replace face-to-face education --- telemedicine --- technology acceptance --- robust partial least squares path modeling --- data-mining techniques --- data-discretization methods --- feature-selection methods --- industry data applications --- advanced multicomponential discretization models --- social networks --- behavior analysis --- social behavior --- social networking satisfaction --- data science --- DBLP platform --- Twitter --- deep reinforcement learning --- keyphrase extraction --- unsupervised method --- feature selection --- weighted non-negative matrix factorization --- hierarchical information --- tag information --- deep factorization --- combinatorial optimization problem --- heuristics method --- nature-inspired algorithm --- NP-hard problem --- plant root --- healthcare data --- data management --- digital services --- cybernetics --- symmetrical designing --- overlapping community discovery --- gravitational degree --- greedy strategy --- two expansions --- cloud computing --- color revolution operator --- imperialist competitive algorithm --- quality of service --- service composition --- service time-cost


Book
Recent Advances in Social Data and Artificial Intelligence 2019
Authors: --- ---
Year: 2022 Publisher: Basel MDPI - Multidisciplinary Digital Publishing Institute

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Abstract

The importance and usefulness of subjects and topics involving social data and artificial intelligence are becoming widely recognized. This book contains invited review, expository, and original research articles dealing with, and presenting state-of-the-art accounts pf, the recent advances in the subjects of social data and artificial intelligence, and potentially their links to Cyberspace.

Keywords

Information technology industries --- Computer science --- centrality metric --- graph visualisation --- visual analytics --- data processing --- social network --- stock market --- community detection --- complex networks --- Hadoop --- modularity increment --- geometric analysis --- lidar scanning signal --- micro-distortion --- detection technology --- TCD1209DG --- lossless signal transmission --- person re-identification --- multiple granularity features --- Siamese Multiple Granularity Network --- multi-channel weighted fusion loss --- temporal links prediction --- gravity model --- multilayer network --- label propagation algorithm --- H-index --- automatic speech recognition --- speech corpus --- text corpus --- data acquisition --- multi-layer neural network --- natural language processing --- markov switching --- breakpoint test --- crude oil price --- structural change --- artificial intelligence --- ice-snow tourism --- sustainable development --- Python --- text mining --- pancreatic cancer --- twin support vector machine --- linear kernel --- polynomial kernel --- RBF kernel --- cryptography --- RSA cryptosystem --- RSA cryptanalysis --- partial key exposure attack --- social network simulation --- ABMS --- Spark --- two-tier partition algorithm --- visual style --- context-aware --- preference analysis --- fashion recommendation --- Facebook advertising post --- social media marketing --- recommendation system --- topic model --- post engagement --- blockchain --- client/server --- electronic health records --- health information management --- privacy --- security --- innovation --- business --- machine learning --- decision tree --- predictive analytics --- social data science --- contingencies --- asymmetry --- tele-education --- digitalization --- ICT infrastructure --- digital teacher training --- replace face-to-face education --- telemedicine --- technology acceptance --- robust partial least squares path modeling --- data-mining techniques --- data-discretization methods --- feature-selection methods --- industry data applications --- advanced multicomponential discretization models --- social networks --- behavior analysis --- social behavior --- social networking satisfaction --- data science --- DBLP platform --- Twitter --- deep reinforcement learning --- keyphrase extraction --- unsupervised method --- feature selection --- weighted non-negative matrix factorization --- hierarchical information --- tag information --- deep factorization --- combinatorial optimization problem --- heuristics method --- nature-inspired algorithm --- NP-hard problem --- plant root --- healthcare data --- data management --- digital services --- cybernetics --- symmetrical designing --- overlapping community discovery --- gravitational degree --- greedy strategy --- two expansions --- cloud computing --- color revolution operator --- imperialist competitive algorithm --- quality of service --- service composition --- service time-cost


Book
Recent Advances in Social Data and Artificial Intelligence 2019
Authors: --- ---
Year: 2022 Publisher: Basel MDPI - Multidisciplinary Digital Publishing Institute

Loading...
Export citation

Choose an application

Bookmark

Abstract

The importance and usefulness of subjects and topics involving social data and artificial intelligence are becoming widely recognized. This book contains invited review, expository, and original research articles dealing with, and presenting state-of-the-art accounts pf, the recent advances in the subjects of social data and artificial intelligence, and potentially their links to Cyberspace.

Keywords

centrality metric --- graph visualisation --- visual analytics --- data processing --- social network --- stock market --- community detection --- complex networks --- Hadoop --- modularity increment --- geometric analysis --- lidar scanning signal --- micro-distortion --- detection technology --- TCD1209DG --- lossless signal transmission --- person re-identification --- multiple granularity features --- Siamese Multiple Granularity Network --- multi-channel weighted fusion loss --- temporal links prediction --- gravity model --- multilayer network --- label propagation algorithm --- H-index --- automatic speech recognition --- speech corpus --- text corpus --- data acquisition --- multi-layer neural network --- natural language processing --- markov switching --- breakpoint test --- crude oil price --- structural change --- artificial intelligence --- ice-snow tourism --- sustainable development --- Python --- text mining --- pancreatic cancer --- twin support vector machine --- linear kernel --- polynomial kernel --- RBF kernel --- cryptography --- RSA cryptosystem --- RSA cryptanalysis --- partial key exposure attack --- social network simulation --- ABMS --- Spark --- two-tier partition algorithm --- visual style --- context-aware --- preference analysis --- fashion recommendation --- Facebook advertising post --- social media marketing --- recommendation system --- topic model --- post engagement --- blockchain --- client/server --- electronic health records --- health information management --- privacy --- security --- innovation --- business --- machine learning --- decision tree --- predictive analytics --- social data science --- contingencies --- asymmetry --- tele-education --- digitalization --- ICT infrastructure --- digital teacher training --- replace face-to-face education --- telemedicine --- technology acceptance --- robust partial least squares path modeling --- data-mining techniques --- data-discretization methods --- feature-selection methods --- industry data applications --- advanced multicomponential discretization models --- social networks --- behavior analysis --- social behavior --- social networking satisfaction --- data science --- DBLP platform --- Twitter --- deep reinforcement learning --- keyphrase extraction --- unsupervised method --- feature selection --- weighted non-negative matrix factorization --- hierarchical information --- tag information --- deep factorization --- combinatorial optimization problem --- heuristics method --- nature-inspired algorithm --- NP-hard problem --- plant root --- healthcare data --- data management --- digital services --- cybernetics --- symmetrical designing --- overlapping community discovery --- gravitational degree --- greedy strategy --- two expansions --- cloud computing --- color revolution operator --- imperialist competitive algorithm --- quality of service --- service composition --- service time-cost

Listing 1 - 9 of 9
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