LEADER 10201nam 22007815 450 001 9910767584103321 005 20250210122232.0 010 $a9783031479977 010 $a3031479971 024 7 $a10.1007/978-3-031-47997-7 035 $a(MiAaPQ)EBC30979417 035 $a(Au-PeEL)EBL30979417 035 $a(OCoLC)1411311210 035 $a(CKB)29126989900041 035 $a(DE-He213)978-3-031-47997-7 035 $a(EXLCZ)9929126989900041 100 $a20231129d2023 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aArtificial Intelligence: Towards Sustainable Intelligence $eFirst International Conference, AI4S 2023, Pune, India, September 4-5, 2023, Proceedings /$fedited by Sanju Tiwari, Fernando Ortiz-Rodríguez, Sashikala Mishra, Edlira Vakaj, Ketan Kotecha 205 $a1st ed. 2023. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2023. 215 $a1 online resource (234 pages) 225 1 $aCommunications in Computer and Information Science,$x1865-0937 ;$v1907 311 08$aPrint version: Tiwari, Sanju Artificial Intelligence: Towards Sustainable Intelligence Cham : Springer International Publishing AG,c2023 9783031479960 320 $aIncludes bibliographical references and index. 327 $aIntro -- Preface -- Organization -- Keynote Abstracts -- Data Analytics for Sustainable Global Supply Chains -- Building Trustworthy Neuro-Symbolic AI Systems with Explainability and Safety: Knowledge is the Key -- Contents -- An Approach Towards Mitigation of Renewable Energy Curtailment -- 1 Introduction -- 2 Test Case Modifications and Assumptions -- 2.1 Test Case and Modifications -- 2.2 Assumptions -- 3 Solution Methodologies and Cases -- 3.1 Solution Methodology -- 3.2 Configuration of Cases -- 4 Results and Discussion -- 4.1 Results -- 4.2 Discussion -- 5 Conclusion and Future Scope -- References -- ESG and IoT: Ensuring Sustainability and Social Responsibility in the Digital Age -- 1 Introduction -- 2 Overview of ESG and Sustainability -- 2.1 Environmental, Social and Governance Impacts of IoT -- 2.2 The Contribution of Artificial Intelligence to ESG -- 2.3 Industry 4.0 and Its Potential Impact on ESG -- 3 Proposed Approach -- 3.1 Proposed Architecture -- 3.2 SAS® Intelligent Monitoring: Product Overview -- 4 Possible Applications -- 5 Future Work -- 6 Conclusion -- References -- AI and Assistive Technologies for Persons with Disabilities - Worldwide Trends in the Scientific Production Using Bibliometrix R Tool -- 1 Introduction -- 1.1 Background -- 1.2 Problem Statement -- 2 Methodology -- 2.1 Data Collection -- 2.2 Analysis -- 3 Results and Discussion -- 3.1 Production -- 3.2 Sources -- 3.3 Authors -- 3.4 Documents -- 4 Conclusion -- 4.1 Limitations and Future Research Directions -- Appendix A: -- References -- Leaf Disease Detection Using Transfer Learning -- 1 Introduction -- 2 Related Work -- 3 Model Architecture and Design -- 3.1 ResNet -- 3.2 MobileNet -- 3.3 VGG16 -- 3.4 Design Consideration -- 4 Dataset Preparation and Training -- 4.1 Kaggle Dataset: Potato, Tomato, and Pepper Black Diseases -- 4.2 Training the Models. 327 $a5 Results -- 5.1 VGG16 Model -- 5.2 ResNet Model -- 5.3 MobileNet Model -- 5.4 Performance Comparison -- 6 Conclusion -- References -- Automated Scene Recognition for Environmental Monitoring: A Cluster Analysis Approach using Intel Image Classification Dataset -- 1 Introduction -- 2 Literature Review -- 3 Data Preprocessing and EDA -- 3.1 About the Dataset -- 3.2 Data Transformation -- 3.3 Dimensionality Reduction with PCA for Improved Clustering Efficiency -- 4 Clustering Methods for Scene Recognition -- 4.1 K Means Clustering Technique -- 4.2 Agglomerative Clustering -- 4.3 BIRCH (Balanced Iterative Reducing and Clustering Using Hierarchies) -- 4.4 DBSCAN (Density Based Spatial Clustering of Applications with  Noise) -- 4.5 Spectral -- 5 Evaluation of Clustering Algorithms -- 5.1 Silhouette Score -- 5.2 Davis-Bouldin Score -- 5.3 Calinski-Harabasz Score -- 6 Conclusion and Future Scope -- References -- Unveiling the Potentials of Deep Learning Techniques for Accurate Alzheimer's Disease Neuro Image Classification -- 1 Introduction -- 2 Literature Survey -- 3 Methodology -- 4 The Proposed Bi-LSTM-AJSO Model Development -- 5 Experimentation -- 5.1 Datasets Used and Model Training and Testing -- 5.2 Comparison with Other Machine and Deep Learning Approaches -- 5.3 Execution Time Comparisons -- 5.4 Interpretability Analysis and Significance -- 6 Conclusion and Future Directions -- References -- Food Composition Knowledge Extraction from Scientific Literature -- 1 Introduction -- 2 Food Composition Knowledge -- 3 Food Composition Knowledge Extraction from Scientific Papers -- 3.1 Knowledge Sources -- 3.2 Knowledge Extraction -- 4 Knowledge Validation -- 4.1 Matching to Existing Vocabularies -- 5 Conclusion -- References -- Design and Analysis of an Algorithm Based on Biometric Block Chain for Efficient data sharing in VANET -- 1 Introduction. 327 $a2 Literature Review -- 3 Proposed Work -- 4 Experimental Result -- 5 Conclusion -- References -- An Improved Deep Learning Model Implementation for Pest Species Detection -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Dataset -- 3.2 Deep Learning -- 3.3 Data Augmentation -- 3.4 Model Architecture -- 3.5 Classification -- 4 Results -- 5 Conclusion -- References -- Identification of Diseases Affecting Mango Leaves Using Deep Learning Models -- 1 Introduction -- 2 Literature Survey -- 2.1 Disease Affecting Mango Leaves -- 2.2 Factor Influencing Fungal Diseases -- 3 Dataset Description -- 4 Methodology -- 4.1 Feature Extraction -- 4.2 Classification -- 4.3 Model Evaluation -- 4.4 Prediction -- 5 Results and Discussion -- 6 Conclusion -- References -- RWNR: Radial Basis Feed Forward Neural Network Driven Semantically Inclined Strategy for Web 3.0 Compliant News Recommendation -- 1 Introduction -- 2 Related Works -- 3 Proposed Architecture -- 4 Implementation -- 5 Results and Performance Evaluation -- 6 Conclusion -- References -- WDNRegClass - A Hybrid ANN + Bayesian Learning Model to Reduce Temporal Predictive In-Variance Towards Mitigation of WDN Revenue Losses -- 1 Introduction -- 2 Literature Study -- 2.1 Leak Identification Using Hydraulic Model Parameters: -- 2.2 Data-Driven Approaches with Sequential or Temporal Data: -- 2.3 The Integration of Bayesian Belief Propagation: -- 3 Proposed Work -- 4 Result and Discussion -- 5 Conclusion -- References -- Real-Time Birds Shadow Detection for Autonomous UAVs -- 1 Introduction -- 2 Related Work -- 3 Proposed Approach -- 3.1 Acquiring a Sample Dataset -- 3.2 Shadow Generation -- 3.3 Data Cleaning -- 3.4 Post-processing -- 3.5 Detection Model Training -- 4 Results and Discussion -- 5 Conclusion -- References. 327 $aKnowledge Graph for Fraud Detection: Case of Fraudulent Transactions Detection in Kenyan SACCOs -- 1 Introduction -- 2 Related Work -- 3 Proposed Approach -- 4 Results -- 4.1 Sample Fraudulent Funds Movement Detection -- 5 Conclusion and Future Work -- References -- Conceptual Framework for Representing Knowledge in the Energy Sector -- 1 Introduction -- 2 State of the Art -- 3 Methodology for Semantic Data Model Design and Construction -- 3.1 Step 1: Ontology Requirements Specification -- 3.2 Step 2: Ontology Analysis -- 3.3 Step 3: Overview of Ontological Modules -- 3.4 Step 4: Interaction with Stakeholders and Ontology Formalization -- 4 Overview of Main Pilots' Topics -- 5 Methodology Application -- 5.1 Application of Step 1 - Ontology Requirements Specification -- 5.2 Application of Step 2 - Ontology Analysis -- 5.3 Application of Step 3 - Overview of Ontological Model -- 5.4 Application of Step 4 - Formalization of Semantic Data Models -- 5.5 Use Case Instantiation with an Illustrative Example -- 6 Discussion -- 7 Conclusion -- References -- Semantic Carbon Footprint of Food Supply Chain Management -- 1 Introduction -- 2 Ontology Methodology -- 2.1 Ontology Requirements Specification -- 2.2 Competency Questions -- 2.3 Users -- 2.4 Intended Use -- 3 Ontology Design -- 3.1 Data Sources -- 3.2 Evaluation -- 4 Conclusion -- References -- Author Index. 330 $aThis book constitutes the proceedings of the First International Conference, AI4S 2023, held in Pune, India, during September 4-5, 2023. The 14 full papers and the 2 short papers included in this volume were carefully reviewed and selected from 72 submissions. This volume aims to open discussion on trustworthy AI and related topics, trying to bring the most up to date developments around the world from researchers and practitioners. 410 0$aCommunications in Computer and Information Science,$x1865-0937 ;$v1907 606 $aArtificial intelligence 606 $aMachine learning 606 $aDatabase management 606 $aImage processing$xDigital techniques 606 $aComputer vision 606 $aApplication software 606 $aArtificial Intelligence 606 $aMachine Learning 606 $aDatabase Management System 606 $aComputer Imaging, Vision, Pattern Recognition and Graphics 606 $aComputer and Information Systems Applications 606 $aComputer Vision 615 0$aArtificial intelligence. 615 0$aMachine learning. 615 0$aDatabase management. 615 0$aImage processing$xDigital techniques. 615 0$aComputer vision. 615 0$aApplication software. 615 14$aArtificial Intelligence. 615 24$aMachine Learning. 615 24$aDatabase Management System. 615 24$aComputer Imaging, Vision, Pattern Recognition and Graphics. 615 24$aComputer and Information Systems Applications. 615 24$aComputer Vision. 676 $a060 702 $aTiwari$b Sanju 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910767584103321 996 $aArtificial intelligence$9104454 997 $aUNINA LEADER 05814nam 22014653u 450 001 9910433256503321 005 20250722142320.0 010 $a9783954660155 010 $a3954660156 010 $a9783954660148 010 $a3954660148 035 $a(CKB)3710000000221310 035 $a(EBL)1761931 035 $a(SSID)ssj0001294464 035 $a(PQKBManifestationID)12531809 035 $a(PQKBTitleCode)TC0001294464 035 $a(PQKBWorkID)11316993 035 $a(PQKB)11762209 035 $a(ScCtBLL)8020833e-5272-403a-ae40-08fdf7521213 035 $a54dc8f26-7ad8-49f3-9bdb-5187b0dd2d03 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/29275 035 $a(MiAaPQ)EBC7141523 035 $a(Au-PeEL)EBL7141523 035 $a(OCoLC)1397572139 035 $a(Perlego)2328453 035 $a(oapen)doab29275 035 $a(EXLCZ)993710000000221310 100 $a20140818d2013|||| u|| | 101 0 $ager 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 14$aDer freie Wille und die Schuldfähigkeit $ein Recht, Psychiatrie und Neurowissenschaften 205 $a1. Auflage 210 $aBerlin $cMedizinisch Wissenschaftliche Verlagsgesellschaft$d2013 210 31$aBerlin$cMedizinisch Wissenschaftliche Verlagsgesellschaft$d2010 215 $a1 online resource (247 p.) 225 1 $aWiener Schriftenreihe fu?r Forensische Psychiatrie ;$vv.1 300 $aDescription based upon print version of record. 311 08$a9783941468238 311 08$a3941468235 327 $aMit Beiträgen zu u.a. folgenden Themen: - Der freie Wille - ein problemgeschichtlicher Abriss - Warum und wann erscheinen uns Entscheidungen als frei? - Freier Wille und Gehirn - eine neuro-relationale Hypothese - Perspektiven der Neurophilosophie - Willensfreiheit in rechtsphilosophischer Perspektive - Psychiatriehistorische und psychopathologische Aspekte der Debatte um den ?freien Willen? - Die Beurteilung der Willenseinschränkungen in der forensischen Psychiatrie - Hirnforschung, Gewalt und Strafe - Erkenntnisse neurowissenschaftlicher Forschung - Die substanzbedingte Einschränkung des freien Willens - Wie frei ist der Mensch mit einer Paraphilie? - Die Neurowissenschaften im Schuldstrafrecht - Die Perspektive des forensisch-psychiatrischen Gutachters - Die Debatte über den freien Willen - Konsequenzen für die forensische Psychiatrie? 330 $aBereits seit der griechischen Antike wurde die Frage nach dem freien Willen und damit auch nach der Schuldfa?higkeit von Strafta?tern immer wieder aufgegriffen. Im 20. Jahrhundert wurde die Idee der Existenz eines freien Willens von unterschiedlichen wissenschaftlichen Richtungen vehement kritisiert: Sowohl Freud und seine Nachfolger, wie auch die modernen Sozialwissenschaften und naturwissenschaftliche Disziplinen wie die vergleichende Verhaltensforschung, die Verhaltensgenetik und die Hirnforschung stellen das Konzept des freien Willens in Frage. Das Unbewusste, die soziale Pra?gun 410 0$aWiener Schriftenreihe fu?r Forensische Psychiatrie 606 $aCrime -- Sociological aspects -- Congresses 606 $aCrimes 606 $aMedicine 606 $aBiology 606 $aPrinciple-Based Ethics 606 $aPsychiatry 606 $aPsychological Phenomena 606 $aFreedom 606 $aJurisprudence 606 $aForensic Medicine 606 $aNeurosciences 606 $aEthics 606 $aForensic Sciences 606 $aSocial Control, Formal 606 $aBiological Science Disciplines 606 $aHuman Rights 606 $aPsychiatry 606 $aBehavioral Sciences 606 $aMedicine 606 $aPhilosophy 606 $aHealth Care Economics and Organizations 606 $aHumanities 606 $aSociology 606 $aNatural Science Disciplines 606 $aHealth Occupations 606 $aCriminology 606 $aBehavioral Disciplines and Activities 606 $aSocial Sciences 606 $aOccupations 606 $aDelivery of Health Care 606 $aForensic Psychiatry 606 $aPersonal Autonomy 606 $aNeurobiology 610 $aPhilosophy 610 $aFree Will & Determinism 610 $aLaw 610 $aForensic Science 615 4$aCrime -- Sociological aspects -- Congresses. 615 4$aCrimes. 615 4$aMedicine. 615 2$aBiology. 615 2$aPrinciple-Based Ethics. 615 2$aPsychiatry. 615 2$aPsychological Phenomena. 615 2$aFreedom. 615 2$aJurisprudence. 615 2$aForensic Medicine. 615 2$aNeurosciences. 615 2$aEthics. 615 2$aForensic Sciences. 615 2$aSocial Control, Formal. 615 2$aBiological Science Disciplines. 615 2$aHuman Rights. 615 2$aPsychiatry 615 2$aBehavioral Sciences. 615 2$aMedicine. 615 2$aPhilosophy. 615 2$aHealth Care Economics and Organizations. 615 2$aHumanities. 615 2$aSociology. 615 2$aNatural Science Disciplines. 615 2$aHealth Occupations. 615 2$aCriminology. 615 2$aBehavioral Disciplines and Activities. 615 2$aSocial Sciences. 615 2$aOccupations. 615 2$aDelivery of Health Care. 615 2$aForensic Psychiatry. 615 2$aPersonal Autonomy. 615 2$aNeurobiology. 676 $a611 700 $aStompe$b Thomas$0868054 701 $aSchanda$b Hans$0868055 801 0$bAU-PeEL 801 1$bAU-PeEL 801 2$bAU-PeEL 906 $aBOOK 912 $a9910433256503321 996 $aDer freie Wille und die Schuldfa?higkeit$91937762 997 $aUNINA