LEADER 00741nam0-22002651i-450 001 990005380700403321 005 20221103123455.0 035 $a000538070 035 $aFED01000538070 035 $a(Aleph)000538070FED01 035 $a000538070 100 $a19990530d1907----km-y0itay50------ba 101 0 $alat 105 $ay-------001yy 200 1 $a<>Oratio variata bei Pausanias$fvon Adolf Engeli 210 $aBerlin$cMayer & Mnller$d1907 215 $aIV, 159 p.$d22 cm 700 1$aEngeli,$bAdolf$0208962 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990005380700403321 952 $aARCH. B 058 8$bARCH. 10572$fFLFBC 959 $aFLFBC 996 $aOratio variata bei Pausanias$9596031 997 $aUNINA LEADER 04158nam 22007215 450 001 9910851982603321 005 20240424130420.0 010 $a9789819703272 010 $a9819703271 024 7 $a10.1007/978-981-97-0327-2 035 $a(CKB)31636418200041 035 $a(MiAaPQ)EBC31304027 035 $a(Au-PeEL)EBL31304027 035 $a(DE-He213)978-981-97-0327-2 035 $a(Exl-AI)31304027 035 $a(EXLCZ)9931636418200041 100 $a20240424d2024 u| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aArtificial Intelligence and Sustainable Computing $eProceedings of ICSISCET 2023 /$fedited by Manjaree Pandit, M. K. Gaur, Sandeep Kumar 205 $a1st ed. 2024. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2024. 215 $a1 online resource (714 pages) 225 1 $aAlgorithms for Intelligent Systems,$x2524-7573 311 08$a9789819703265 311 08$a9819703263 327 $aPreface -- 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$7Generated by AI. 330 $aThis book presents high-quality research papers presented at the 5th International Conference on Sustainable and Innovative Solutions for Current Challenges in Engineering and Technology (ICSISCET 2023) held at Madhav Institute of Technology & Science (MITS), Gwalior, India, during October 21?22, 2023. The book extensively covers recent research in artificial intelligence (AI) that knit together nature-inspired algorithms, evolutionary computing, fuzzy systems, computational intelligence, machine learning, deep learning, etc., which is very useful while dealing with real problems due to their model-free structure, learning ability, and flexible approach. These techniques mimic human thinking and decision-making abilities to produce systems that are intelligent, efficient, cost-effective, and fast. The book provides a friendly and informative treatment of the topics which makes this book an ideal reference for both beginners and experienced researchers. 410 0$aAlgorithms for Intelligent Systems,$x2524-7573 606 $aComputational intelligence 606 $aElectronic circuits 606 $aCooperating objects (Computer systems) 606 $aInternet of things 606 $aMachine learning 606 $aComputational Intelligence 606 $aElectronic Circuits and Systems 606 $aCyber-Physical Systems 606 $aInternet of Things 606 $aMachine Learning 615 0$aComputational intelligence. 615 0$aElectronic circuits. 615 0$aCooperating objects (Computer systems) 615 0$aInternet of things. 615 0$aMachine learning. 615 14$aComputational Intelligence. 615 24$aElectronic Circuits and Systems. 615 24$aCyber-Physical Systems. 615 24$aInternet of Things. 615 24$aMachine Learning. 676 $a006.3 700 $aPandit$b Manjaree$01430267 701 $aGaur$b M. K$01430268 701 $aKumar$b Sandeep$0860947 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910851982603321 996 $aArtificial Intelligence and Sustainable Computing$93569977 997 $aUNINA LEADER 00888nam0 22002531i 450 001 UON00046296 005 20231205102207.935 100 $a20020107d1351 |0itac50 ba 101 $apus 102 $aAF 105 $a|||| 1|||| 200 1 $aPasto likuna$f'Abdu'l-manan Dardmand 210 $aKabul$c[s.n.]$d1351H 215 $a33 p.$d17 cm 606 $aEconomia$xAfghanistan$3UONC008880$2FI 620 $aAF$dK?bul$3UONL000245 686 $aAFG XII$cAFGHANISTAN - ECONOMIA$2A 700 1$aDARDMAND$b'Abdu'l-manan$3UONV029380$0649609 801 $aIT$bSOL$c20250704$gRICA 899 $aSIBA - SISTEMA BIBLIOTECARIO DI ATENEO$2UONSI 912 $aUON00046296 950 $aSIBA - SISTEMA BIBLIOTECARIO DI ATENEO$dSI MISC AFG XII 001 $eSI IR 1793 5 001 996 $aPasto likuna$91156095 997 $aUNIOR