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Mathematical statistics --- Biomathematics. Biometry. Biostatistics --- Artificial intelligence. Robotics. Simulation. Graphics --- patroonherkenning --- neuronale netwerken --- fuzzy logic --- cybernetica --- factoranalyse --- biomathematica --- biostatistiek --- biometrie --- KI (kunstmatige intelligentie) --- robots

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Research into social systems is challenging due to their complex nature. Traditional methods of analysis are often difficult to apply effectively as theories evolve over time. This can be due to a lack of appropriate data, or too much uncertainty. It can also be the result of problems which are not yet understood well enough in the general sense so that they can be classified, and an appropriate solution quickly identified. Simulation is one tool that deals well with these challenges, fits in well with the deductive process, and is useful for testing theory. This field is still relatively new, and much of the work is necessarily innovative, although it builds upon a rich and varied foundation. There are a number of existing modelling paradigms being applied to complex social systems research. Additionally, new methods and measures are being devised through the process of conducting research. We expect that readers will enjoy the collection of high quality research works from new and accomplished researchers.    .

Classical mechanics. Field theory --- Applied physical engineering --- Artificial intelligence. Robotics. Simulation. Graphics --- neuronale netwerken --- fuzzy logic --- cybernetica --- KI (kunstmatige intelligentie) --- ingenieurswetenschappen --- robots --- dynamica

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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.

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 --- 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

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Cross disciplinary biometric systems help boost the performance of the conventional systems. Not only is the recognition accuracy significantly improved, but also the robustness of the systems is greatly enhanced in the challenging environments, such as varying illumination conditions. By leveraging the cross disciplinary technologies, face recognition systems, fingerprint recognition systems, iris recognition systems, as well as image search systems all benefit in terms of recognition performance.  Take face recognition for an example, which is not only the most natural way human beings recognize the identity of each other, but also the least privacy-intrusive means because people show their face publicly every day. Face recognition systems display superb performance when they capitalize on the innovative ideas across color science, mathematics, and computer science (e.g., pattern recognition, machine learning, and image processing). The novel ideas lead to the development of new color models and effective color features in color science; innovative features from wavelets and statistics, and new kernel methods and novel kernel models in mathematics; new discriminant analysis frameworks, novel similarity measures, and new image analysis methods, such as fusing multiple image features from frequency domain, spatial domain, and color domain in computer science; as well as system design, new strategies for system integration, and different fusion strategies, such as the feature level fusion, decision level fusion, and new fusion strategies with novel similarity measures.

Mathematical statistics --- Biomathematics. Biometry. Biostatistics --- Artificial intelligence. Robotics. Simulation. Graphics --- patroonherkenning --- neuronale netwerken --- fuzzy logic --- cybernetica --- factoranalyse --- biomathematica --- biostatistiek --- biometrie --- KI (kunstmatige intelligentie) --- robots