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[null,"1.","Record Nr.",null,"UNINA990005380700403321"]
[null,null,"Autore",null,"Engeli, Adolf"]
[null,null,"Titolo",null,"Die Oratio variata bei Pausanias / von Adolf Engeli"]
[null,null,"Pubbl/distr/stampa",null,"Berlin, : Mayer & Mnller, 1907"]
[null,null,"Descrizione fisica",null,"IV, 159 p. ; 22 cm"]
[null,null,"Locazione",null,"FLFBC"]
[null,null,"Collocazione",null,"ARCH. B 058 8"]
[null,null,"Lingua di pubblicazione",null,"Latino"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,"2.","Record Nr.",null,"UNINA9910851982603321"]
[null,null,"Autore",null,"Pandit Manjaree"]
[null,null,"Titolo",null,"Artificial Intelligence and Sustainable Computing : Proceedings of ICSISCET 2023 / / edited by Manjaree Pandit, M. K. Gaur, Sandeep Kumar"]
[null,null,"Pubbl/distr/stampa",null,"Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024"]
[null,null,"ISBN",null,"9789819703272"]
[{"$nulls":4},"9819703271"]
[null,null,"Edizione",null,"[1st ed. 2024.]"]
[null,null,"Descrizione fisica",null,"1 online resource (714 pages)"]
[null,null,"Collana",null,"Algorithms for Intelligent Systems, , 2524-7573"]
[null,null,"Disciplina",null,"006.3"]
[null,null,"Soggetti",null,"Computational intelligence"]
[{"$nulls":4},"Electronic circuits"]
[{"$nulls":4},"Cooperating objects (Computer systems)"]
[{"$nulls":4},"Internet of things"]
[{"$nulls":4},"Machine learning"]
[{"$nulls":4},"Computational Intelligence"]
[{"$nulls":4},"Electronic Circuits and Systems"]
[{"$nulls":4},"Cyber-Physical Systems"]
[{"$nulls":4},"Internet of Things"]
[{"$nulls":4},"Machine Learning"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,"Nota di contenuto",null,"Preface -- Contents -- About the Editors -- 1 A Novel Intelligence System for Hybrid Crop Suitable Landform Prediction Using Machine Learning Techniques and IoT --   1 Introduction --   2 Related Work --   3 Methodology --   4 Dataset Description --   5 Feature Engineering --   6 Experiments --     6.1 Logistic Regression --     6.2 K-Nearest Neighbours (KNN) --     6.3 Extreme Gradient Boosting (XGBoost) --     6.4 Implementation in Cloud --   7 Results and Discussion --   8 Conclusion --   9 Future Work --   References -- 2 Indian Annual Report Assessment Using Large Language Models --   1 Introduction --     1.1 Problem Statement --     1.2 Objective --     1.3 Contribution --   2 Related Work --   3 Methodology --     3.1 Dataset Preparation --     3.2 Class Labels --   4 Results --     4.1 Fine-Tuning Language Model --     4.2 Sentence Transformers"]
[null,null,null,"Sommario/riassunto","This book presents high-quality research papers presented at the 5th "]
[{"$nulls":4},"International Conference on Sustainable and Innovative Solutions for Current Challenges in Engineering and Technology (ICSISCET 2023) held at Madhav Institute of Technology & Science (MITS), Gwalior, India, during October 21–22, 2023. The book extensively covers recent research in artificial intelligence (AI) that knit together nature-inspired algorithms, evolutionary computing, fuzzy systems, computational intelligence, machine learning, deep learning, etc., which is very useful while dealing with real problems due to their model-free structure, learning ability, and flexible approach. These techniques mimic human thinking and decision-making abilities to produce systems that are intelligent, efficient, cost-effective, and fast. The book provides a friendly and informative treatment of the topics which makes this book an ideal reference for both beginners and experienced researchers."]