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001461272 001__ 1461272
001461272 003__ OCoLC
001461272 005__ 20230503003344.0
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001461272 019__ $$a1372397288$$a1373232096
001461272 020__ $$a3031262549$$q(electronic bk.)
001461272 020__ $$a9783031262548$$q(electronic bk.)
001461272 020__ $$z9783031262531
001461272 0247_ $$a10.1007/978-3-031-26254-8$$2doi
001461272 035__ $$aSP(OCoLC)1372322140
001461272 040__ $$aYDX$$beng$$erda$$epn$$cYDX$$dGW5XE$$dEBLCP$$dUKAHL$$dOCLCF
001461272 049__ $$aISEA
001461272 050_4 $$aQ334
001461272 08204 $$a006.3$$223/eng/20230316
001461272 1112_ $$aICAISE (Conference)$$d(2022).
001461272 24510 $$aArtificial intelligence and smart environment :$$bICAISE' 2022 /$$cYousef Farhaoui, Alvaro Rocha, Zouhaier Brahmia, Bharat Bhushab, editors.
001461272 24630 $$aICAISE' 2022
001461272 264_1 $$aCham :$$bSpringer,$$c[2023]
001461272 264_4 $$c©2023
001461272 300__ $$a1 online resource (xxiii, 925 pages) :$$billustrations (chiefly color).
001461272 336__ $$atext$$btxt$$2rdacontent
001461272 337__ $$acomputer$$bc$$2rdamedia
001461272 338__ $$aonline resource$$bcr$$2rdacarrier
001461272 4901_ $$aLecture notes in networks and systems ;$$v635
001461272 500__ $$aIncludes author index.
001461272 5050_ $$aIntro -- Preface -- Chairman of ICAISE'2022 -- Contents -- A Collaborative Fog-Based Healthcare Intrusion Detection Security Using Blockchain and Machine Learning -- 1 Introduction -- 2 Review and Related Work -- 3 Proposal Model -- 3.1 IDS Using Catboost -- 3.2 Collaboration with Blockchain -- 4 Conclusion and Future Work -- References -- A Combined Approach of Computer Vision and NLP for Documents Data Extraction -- 1 Introduction -- 2 Problematic Statement -- 3 Related Work -- 4 Dataset Construction -- 4.1 Dataset -- 4.2 Labeling -- 5 Proposed Approach -- 5.1 Architecture
001461272 5058_ $$a6 Experiments Model Training and Results -- 6.1 Results Discussion -- 7 Conclusion and Future Work -- References -- A Comprehensive Analysis of Novel Intrusion Detection Systems for Internet of Things Networks -- 1 Introduction -- 2 Analysis of Intrusion Detection Systems for IoT -- 3 Discussion -- 4 Conclusions -- References -- A Coupled Graph Theoric and Deep Learning Approaches for Nonrigid Image Registration -- 1 Introduction -- 2 Theory and Methods -- 2.1 Nonrigid Image Registration -- 2.2 Graph Cuts for Image Registration -- 2.3 Proposed Approach -- 3 Results and Discussion
001461272 5058_ $$a4 Conclusion and Next Directions -- References -- A Deep Convolutional Neural Networks for the Detection of Breast Cancer Using Mammography Images -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 4 Experimental Results -- 4.1 Effectiveness -- 4.2 Efficiency -- 5 Discussion -- 6 Conclusion -- References -- A Dynamic Panel Data Analysis on the Impact of Quality of Institutions on the Economic Growth: Evidence from Wu-Hausman Specification Test -- 1 Introduction -- 2 Mathematical Modeling -- 3 Estimation and Discussion -- 3.1 Estimation -- 3.2 Fixed or Random Effect Model
001461272 5058_ $$a3.3 Discussion of the Findings -- 4 Conclusion and Policy Implications -- References -- A Literature Review of Solar Cell Overheating Control -- 1 Introduction -- 2 Autonomous Technologies for Preventing Overheating in Solar Collectors -- 3 Innovative Smart Selective Coating -- 4 The Usage of Supercritical Fluids -- 5 Nanofluids in Solar Thermal Collectors -- 6 Hybrid Solar Collectors and Overheating -- 7 Discussion -- 8 Conclusion -- References -- A Machine Learning-Based Model for Energy Efficiency Classification of an Unmanned Aerial Vehicle -- 1 Introduction -- 2 Materials and Methods
001461272 5058_ $$a2.1 Gathering Information and Defining Variables -- 2.2 Model Design -- 2.3 Improved Releif-F Algorithm -- 2.4 K-Nearest Neighbor (KNN) -- 2.5 Evaluation Measures -- 3 Results and Analysis -- 4 Conclusion -- References -- A New CBIR Search Engine with a Vision Transformer Architecture -- 1 Introduction -- 2 Materials and Methods -- 2.1 Dataset -- 2.2 Pre-processing -- 2.3 Methods -- 3 Results and Discussion -- 4 Conclusions and Perspectives -- References -- A New Coronary Artery Stenosis Detection Method with a Hybrid LSTM-CNN Model -- 1 Introduction -- 2 Related Works -- 3 Proposed Approach
001461272 506__ $$aAccess limited to authorized users.
001461272 520__ $$aThis book reviews the state of the art of big data analysis, artificial intelligence, and smart environments. Data is becoming an increasingly decisive resource in modern societies, economies, and governmental organizations. Data science, artificial intelligence, and smart environments inspire novel techniques and theories drawn from mathematics, statistics, information theory, computer science, and social science. This book reviews the state of the art of big data analysis, artificial intelligence, and smart environments. It includes issues that pertain to signal processing, probability models, machine learning, data mining, database, data engineering, pattern recognition, visualization, predictive analytics, data warehousing, data compression, computer programming, smart city, etc. The papers in this book were the outcome of research conducted in this field of study. The latter makes use of applications and techniques related to data analysis in general and big data and smart city in particular. The book appeals to advanced undergraduate and graduate students, post-doctoral researchers, lecturers, and industrial researchers, as well as anyone interested in big data analysis and artificial intelligence.
001461272 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed March 16, 2023).
001461272 650_0 $$aArtificial intelligence$$vCongresses.
001461272 655_0 $$aElectronic books.
001461272 655_7 $$aConference papers and proceedings.$$2fast$$0(OCoLC)fst01423772
001461272 655_7 $$aConference papers and proceedings.$$2lcgft
001461272 7001_ $$aFarhaoui, Yousef,$$eeditor.
001461272 7001_ $$aRocha, Álvaro,$$eeditor.
001461272 7001_ $$aBrahmia, Zouhaier,$$eeditor.
001461272 7001_ $$aBhushab, Bharat,$$eeditor.
001461272 77608 $$iPrint version:$$aFarhaoui, Yousef$$tArtificial Intelligence and Smart Environment$$dCham : Springer International Publishing AG,c2023$$z9783031262531
001461272 830_0 $$aLecture notes in networks and systems ;$$vv. 635.
001461272 852__ $$bebk
001461272 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-26254-8$$zOnline Access$$91397441.1
001461272 909CO $$ooai:library.usi.edu:1461272$$pGLOBAL_SET
001461272 980__ $$aBIB
001461272 980__ $$aEBOOK
001461272 982__ $$aEbook
001461272 983__ $$aOnline
001461272 994__ $$a92$$bISE