LEADER 01091nam0 22002771i 450 001 UON00389479 005 20231205104604.855 100 $a20110308d1974 |0itac50 ba 101 $aeng 102 $aNL 105 $a|||| ||||| 200 1 $aContemporary soviet law$eessays in honor of John N. Hazard$fedited by Donald D. Barry, William E. Butler, George Ginsburgs 210 $aThe Hague$cMartinus Nijhoff$d1974 215 $aXXVI, 242 p., [4] c. di tav.$d24 cm. 606 $aHAZARD JOHN N.$3UONC077510$2FI 620 $aNL$dThe Hague$3UONL003225 702 1$aBarry$bDonald D.$3UONV100916 702 1$aBUTLER$bWilliam E.$3UONV021790 702 1$aGinsburgs$bGeorge$3UONV037255 712 $aNijhoff$3UONV246540$4650 801 $aIT$bSOL$c20250404$gRICA 899 $aSIBA - SISTEMA BIBLIOTECARIO DI ATENEO$2UONSI 912 $aUON00389479 950 $aSIBA - SISTEMA BIBLIOTECARIO DI ATENEO$dSI PUB B 0159 $eSI SC 2839 5 0159 $sBuono 996 $aContemporary soviet law$91355335 997 $aUNIOR LEADER 08676nam 22005775 450 001 9910746090303321 005 20251225205541.0 010 $a9783031364020 010 $a3031364023 024 7 $a10.1007/978-3-031-36402-0 035 $a(MiAaPQ)EBC30606125 035 $a(Au-PeEL)EBL30606125 035 $a(DE-He213)978-3-031-36402-0 035 $a(PPN)272259705 035 $a(CKB)27195929700041 035 $a(OCoLC)1385981957 035 $a(EXLCZ)9927195929700041 100 $a20230623d2023 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aMulti-disciplinary Trends in Artificial Intelligence $e16th International Conference, MIWAI 2023, Hyderabad, India, July 21?22, 2023, Proceedings /$fedited by Raghava Morusupalli, Teja Santosh Dandibhotla, Vani Vathsala Atluri, David Windridge, Pawan Lingras, Venkateswara Rao Komati 205 $a1st ed. 2023. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2023. 215 $a1 online resource (810 pages) 225 1 $aLecture Notes in Artificial Intelligence,$x2945-9141 ;$v14078 311 08$aPrint version: Morusupalli, Raghava Multi-Disciplinary Trends in Artificial Intelligence Cham : Springer,c2023 9783031364013 327 $aDigital Life: An Advent of Transhumanism -- Traveling Salesperson Problem -- Double-Stack BERT: Utilizing BERT to Extract Sentence Relation Feature for A Content-Based Filtering System -- Evaluating the Utility of GAN Generated Synthetic Tabular Data for Class Balancing and Low Resource Settings -- How Good are Transformers in Reordering? -- Automatic Differentiation Using Dual Numbers - Use Case -- On some properties of a new PoisN wavelet family -- Centrality Measures based Heuristics for Perfect Awareness Problem in Social Networks -- Re-examining Class Selectivity in Deep Convolutional Networks -- Content Based Network Representational Learning for Movie Recommendation (CNMovieRec) -- Parallel and Distributed Query Processing in Attributed Networks -- Gradient Directional Predictor for Reconstructing High-Fidelity Images -- We chased COVID-19; Did we forget Measles? - public discourse and sentiment analysis on spiking Measles cases using natural language processing -- We chased COVID-19; Did we forget Measles? - public discourse and sentiment analysis on spiking Measles cases using natural language processing -- A Review on Designing of Memory Computing Architecture for Image Enhancement in AI Applications -- An Effective Technique for Recommendation System in E-Learning by User Preferences -- A Multi-modal Approach using Game Theory for Android Forensics Tool Selection -- LPCD: Incremental Approach for Dynamic Networks -- Clinical Abbreviation Disambiguation using clinical variants of Transformers architecture BERT -- Ontological Scene Graph Engineering and Reasoning over YOLO objects for creating panoramic VR content -- Incremental Classifier in the Semi Supervised Learning Environment -- Alzheimer?s Detection and Prediction on MRI Scans: A Comparative Study -- Evaluating the Performance of Diverse Machine Learning Approaches in Stock Market Forecasting -- A Blockchain-driven Framework forIssuance of NFT-based Warranty to Customers on E-commerce -- Using Machine Learning Models to Predict Corporate Credit Outlook -- Visualization Recommendation for Incremental Data based on Intent -- Automating Malaria Diagnosis with XAI: Using Deep-Learning Technologies for More Accurate, Efficient, and Transparent Results -- Artificial Intelligence as a Service: Providing Integrity and Confidentiality -- Live Bidding Application: Predicting Shill Bidding Using Machine Learning -- A Novel Pixel Value Predictor Using Long Short Term Memory (LSTM) Network -- EFFICIENT TRAJECTORY CLUSTERING OF MOVEMENTS OF MOVING OBJECTS -- Node Cooperation Enforcement Scheme for enhancing Quality of Service in MANETs using Machine Learning Approach -- Interpreting Chest X-Ray Classification Models: Insights and Complexity Measures in Deep Learning -- Nuclei Segmentation Approach for Computer Aided Diagnosis -- Stock Market Intraday Trading using ReinforcementLearning -- Predicting the Droughts Using Artificial Neural Networks ? A Case Study -- Applying machine learning for portfolio switching decisions -- Bark texture classification using deep transfer learning -- Dynamic Twitter Topic Summarization using Speech Acts -- Generative Adversarial Network for Augmenting Low-Dose CT Images -- Improving Software Effort Estimation with Heterogeneous Stacked Ensemble Using SMOTER over ELM and SVR base Learners -- A Deep Learning based Model to study the influence of different brain wave frequencies for the disorder of depression -- Planning Strategy of BDI Agents for Crowd Simulation -- Design and Development of Walking Monitoring System for Gait Analysis -- Stock market Investment Strategy using: Artificial Intelligence Deep-Q-Learning Network -- A survey on recent Text Summarization techniques -- Conversational AI: A study on capabilities and limitations of Dialogue Based System -- Co-Clustering based Methods and their Significance for Recommender Systems -- Machine Learning and Fuzzy Logic based Intelligent Algorithm for Energy Efficient Routing in Wireless Sensor Networks -- Sentiment Analysis of Twitter Data on ?aThe Agnipath Yojana? -- Pixel Value Prediction Task: Performance Comparison of Multi-Layer Perceptron and Radial Basis Function Neural Network -- A Yolo-based Deep Learning Approach for Vehicle Class Classification Using CV -- Rescheduling exams within the announced tenure by using Reinforcement Learning -- AI Based Employee Attrition Prediction Tool -- iSTIMULI: Prescriptive Stimulus Design for Eye Movement Analysis of patients with Parkinson?s Disease -- A Career Guidance web application based on Multi-Intelligence using Multiclass Classification Algorithm -- Multi-dimensional STAQR Indexing Algorithm for Drone applications -- Low Light image Illumination Adjustment using Fusion of MIRNet and Deep Illumination Curves -- A HYBRID INTELLIGENT CRYPTOGRAPHY ALGORITHM FOR DISTRIBUTED BIG DATA STORAGE IN CLOUD COMPUTING SECURITY -- An Ensemble Technique to Detect Stress for Young Professional -- iAOI: An Eye Movement based Deep Learning Model to identify Areas of Interest -- Traffic Prediction in Indian Cities from Twitter Data using Deep Learning and Word Embedding Models -- Interpretable Chronic Kidney Disease Risk Prediction from Clinical Data -- Sign Language Interpretation using Deep Learning -- Redefining the World of Medical Image Processing with AI ? Automatic Clinical Report Generation to Support Doctors -- Statistical analysis of the monthly costs of OPEC Crude oil using Machine Learning models -- Conversational artificial intelligence in digital healthcare: A bibliometric analysis -- Demand and Price Forecasting using Deep Learning Algorithms -- Hybrid Model Using Interacted-ARIMA and ANN Models for Efficient Forecasting -- Addressing Challenges in Healthcare Big Data Analytics -- AssessingReading Patterns of Learners through Eye Tracking Technology -- Comparison of Deep Learning Algorithms for Early Detection of Melanoma Skin Cancer on Dermoscopic and Non-Dermoscopic Images. 330 $aThe 47 full papers and 24 short papers included in this book were carefully reviewed and selected from 245 submissions. These articles cater to the most contemporary and happening topics in the fields of AI that range from Intelligent Recommendation Systems, Game Theory, Computer Vision, Reinforcement Learning, Social Networks, and Generative AI to Conversational and Large Language Models. They are organized into four areas of research: Theoretical contributions, Cognitive Computing models, Computational Intelligence based algorithms, and AI Applications. . 410 0$aLecture Notes in Artificial Intelligence,$x2945-9141 ;$v14078 606 $aArtificial intelligence 606 $aArtificial Intelligence 615 0$aArtificial intelligence. 615 14$aArtificial Intelligence. 676 $a006.3 676 $a006.3 700 $aMorusupalli$b Raghava$01369722 701 $aDandibhotla$b Teja Santosh$01369723 701 $aAtluri$b Vani Vathsala$01369724 701 $aWindridge$b David$01369725 701 $aLingras$b Pawan$0963876 701 $aKomati$b Venkateswara Rao$01369726 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910746090303321 996 $aMulti-Disciplinary Trends in Artificial Intelligence$93396453 997 $aUNINA