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001481041 001__ 1481041
001481041 003__ OCoLC
001481041 005__ 20231031003320.0
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001481041 008__ 230923s2023\\\\sz\a\\\\o\\\\\000\0\eng\d
001481041 019__ $$a1398463212$$a1402833490
001481041 020__ $$a9783031124198$$q(electronic bk.)
001481041 020__ $$a3031124197$$q(electronic bk.)
001481041 020__ $$z9783031124181
001481041 020__ $$z3031124189
001481041 0247_ $$a10.1007/978-3-031-12419-8$$2doi
001481041 035__ $$aSP(OCoLC)1399167591
001481041 040__ $$aEBLCP$$beng$$cEBLCP$$dOCLCO$$dYDX$$dGW5XE$$dEBLCP$$dSFB
001481041 049__ $$aISEA
001481041 050_4 $$aQ335
001481041 08204 $$a303.48/34$$223/eng/20230927
001481041 24500 $$aArtificial intelligence for societal issues /$$cAnupam Biswas, Vijay Bhaskar Semwal, Durgesh Singh, editors.
001481041 260__ $$aCham :$$bSpringer International Publishing AG,$$c2023.
001481041 300__ $$a1 online resource (xv, 356 pages) :$$billustrations (chiefly color).
001481041 336__ $$atext$$btxt$$2rdacontent
001481041 337__ $$acomputer$$bc$$2rdamedia
001481041 338__ $$aonline resource$$bcr$$2rdacarrier
001481041 4901_ $$aIntelligent systems reference library ;$$vvolume 231
001481041 500__ $$aDescription based upon print version of record.
001481041 5050_ $$aIntro -- Preface -- Contents -- Part I Crime and Security -- 1 Artificial Intelligence for Cybersecurity: Threats, Attacks and Mitigation -- 1.1 Introduction -- 1.2 Cybersecurity -- 1.2.1 Attacks -- 1.2.2 Threats -- 1.2.3 AI as a Tool for Cyber-Attacks -- 1.3 Conventional Solutions -- 1.4 Intervention of AI -- 1.4.1 Recent Trends -- 1.4.2 AI Based Mitigation of Cyberthreats -- 1.5 Conclusion -- References -- 2 A Survey on Deep Learning Models to Detect Hate Speech and Bullying in Social Media -- 2.1 Introduction -- 2.2 Methodology -- 2.2.1 Convolution-Based Methods
001481041 5058_ $$a2.2.2 Sequential Deep Learning Based Methods -- 2.2.3 Transformer-Based Methods -- 2.3 Conclusion -- References -- 3 A Deep Learning Based System to Estimate Crowd and Detect Violence in Videos -- 3.1 Introduction -- 3.2 Related Work -- 3.3 Methodology -- 3.3.1 Crowd Estimation -- 3.3.2 Violence Detection -- 3.4 Implementation -- 3.5 Results and Analysis -- 3.6 Future Enhancement -- 3.7 Conclusion -- References -- 4 Role of ML and DL in Detecting Fraudulent Transactions -- 4.1 Introduction -- 4.1.1 Introduction to Fraudulent Transaction
001481041 5058_ $$a4.1.2 Influence of Online Banking on Fraudulent Transaction -- 4.1.3 Statistics of Fraudulent Transactions -- 4.1.4 Current Preventive Systems -- 4.1.5 Introduction to Artificial Intelligence -- 4.1.6 Introduction to Deep Learning -- 4.2 Different Detection Systems for Fraud -- 4.2.1 Hidden Markov Model -- 4.2.2 Artificial Neural Network (ANN) -- 4.2.3 Autoencoder -- 4.2.4 Convolutional Neural Network -- 4.2.5 Rule-Based Method -- 4.2.6 Generative Adversarial Network -- 4.3 Future Scope -- 4.4 Conclusion -- References -- Part II Agriculture and Education
001481041 5058_ $$a5 Employing Image Processing and Deep Learning in Gradation and Classification of Paddy Grain -- 5.1 Introduction: State of Agriculture Sector in India -- 5.1.1 Problems and Challenges Faced by the Agriculture Segment of India -- 5.1.2 Problem Statement and Paper Organization -- 5.2 Background: The Role of Artificial Intelligence in Agriculture Sector -- 5.2.1 Usability of Artificial Intelligence and Machine Learning in Agriculture -- 5.3 Literature Review -- 5.4 Proposed Approach: Image Processing -- 5.4.1 Involved Steps -- 5.4.2 Materials and Tools -- 5.5 Methodology and Implementation
001481041 5058_ $$a5.5.1 Plan and Proposed Architecture -- 5.5.2 The CNN Architecture -- 5.5.3 Implementation -- 5.5.4 GUI Creation and Testing -- 5.6 Results and Discussion -- 5.7 Future Work -- 5.8 Conclusion -- References -- 6 Role of Brand Love in Green Purchase Intention: Analytical Study from User's Perspective -- 6.1 Introduction -- 6.1.1 Green Purchase Intention -- 6.1.2 Brand Love -- 6.1.3 Significance and Scope of Study -- 6.2 Review of Literature -- 6.3 Research Methodology -- 6.3.1 Research Model -- 6.3.2 Description of Variables -- 6.3.3 Research Questions -- 6.3.4 Hypothesis
001481041 506__ $$aAccess limited to authorized users.
001481041 520__ $$aArtificial intelligence (AI) has the potential to provide innovative solutions to various societal issues and real-world social challenges. AI is useful in combating some of the seemingly unsolvable social crises facing the world today. Be it disaster awareness and management or demand forecasting, or healthcare informatics or disease outbreaks like COVID-19, the AI plays a pivotal role everywhere. AI has the potential to address some of the societal issues that indirectly pose challenges like cybercrime, agriculture, education, economy, and health. The book covers several applications of AI as solutions to different societal issues, which include economic empowerment, smart education system, COVID-19 detection & management, emotion detection, fraudulent transactions, applications in agriculture and health informatics, etc. The book will be helpful for the academicians and researchers working with various areas of societal issues, data science, artificial intelligence, and machine learning.
001481041 650_0 $$aArtificial intelligence$$xSocial aspects.$$xMedical applications$$0(DLC)sh 88003000
001481041 650_0 $$aComputers and civilization.$$vCongresses$$0(DLC)sh2009120889
001481041 650_0 $$aSocial problems$$xData processing.$$xProtestant churches$$0(DLC)sh2004014138
001481041 655_0 $$aElectronic books.
001481041 7001_ $$aBiswas, Anupam.
001481041 7001_ $$aSemwal, Vijay Bhaskar.
001481041 7001_ $$aSingh, Durgesh.
001481041 77608 $$iPrint version:$$aBiswas, Anupam$$tArtificial Intelligence for Societal Issues$$dCham : Springer International Publishing AG,c2023$$z9783031124181
001481041 830_0 $$aIntelligent systems reference library ;$$vv. 231.
001481041 852__ $$bebk
001481041 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-12419-8$$zOnline Access$$91397441.1
001481041 909CO $$ooai:library.usi.edu:1481041$$pGLOBAL_SET
001481041 980__ $$aBIB
001481041 980__ $$aEBOOK
001481041 982__ $$aEbook
001481041 983__ $$aOnline
001481041 994__ $$a92$$bISE