LEADER 02562nam 2200637 450 001 9910457184903321 005 20200520144314.0 010 $a1-283-44670-7 010 $a9786613446701 010 $a1-58979-715-9 035 $a(CKB)2550000000084461 035 $a(EBL)843379 035 $a(OCoLC)773567063 035 $a(SSID)ssj0000600893 035 $a(PQKBManifestationID)12262966 035 $a(PQKBTitleCode)TC0000600893 035 $a(PQKBWorkID)10601668 035 $a(PQKB)10710771 035 $a(MiAaPQ)EBC843379 035 $a(Au-PeEL)EBL843379 035 $a(CaPaEBR)ebr10895439 035 $a(CaONFJC)MIL344670 035 $a(EXLCZ)992550000000084461 100 $a20140728h20062006 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aMulticultural Spanish dictionary $ehow everyday Spanish differs from country to country /$fMorry Sofer, general editor ; Agusti?n Marti?nez, Spanish editor 205 $aSecond revised edition. 210 1$aRockville, Maryland :$cSchreiber Publishing,$d2006. 210 4$dİ2006 215 $a1 online resource (278 p.) 300 $aDescription based upon print version of record. 311 $a0-88400-317-5 320 $aIncludes bibliographical references. 327 $aMulticultural Spanish Dictionary; TABLE OF CONTENTS; Acknowledgements; List of Contributors; Introduction to the Second Edition; How to Use this Dictionary; Introduction; Part I: English - Spanish; Part II: Spanish - English; Part III: Subject Areas; Animals; Common Adjectives; Drug Culture; Food; Hobbies & Recreation; Nature; Personal Life; Shelter & Daily Living; Transportation; Workplace 330 $aAn updated and revised edition of the widely used first edition. 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$cc$2rdamedia 183 $acr$2rdacarrier 200 10$aComputing, Communication and Learning $eThird International Conference, CoCoLe 2024, Warangal, India, September 13?15, 2024, Revised Selected Papers /$fedited by Sanjaya Kumar Panda, Rajkumar Buyya, Rashmi Ranjan Rout, Manjubala Bisi, Sangharatna Godboley, Kuan-Ching Li, Ashish Ghosh 205 $a1st ed. 2025. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2025. 215 $a1 online resource (576 pages) 225 1 $aCommunications in Computer and Information Science,$x1865-0937 ;$v2317 311 08$a9783031790409 311 08$a3031790405 327 $a -- Advancements in AI for Predictive Modeling, Quality Enhancement, and Real-Time Detection Across Various Domains. -- Crude Oil Price Forecasting using Hybridization of Optimized Deep Learning and Shallow Machine Learning Models. -- Adam Lyrebird Optimization-based DLSTM for Solar Irradiance Prediction using Time Series Data. -- Code Smell Detection using Deep Learning Models to Enhance the Software Quality. -- Unveiling the Future of Agriculture: Transformative Impact of Advanced Deep Learning with Mobile App Technology for Plant Leaf Disease Detection. -- Air Quality Prediction using Ensemble Learning. -- Real-Time Highway Accident Detection and Response with Deep Learning and Edge Caching. -- Detection of Yoga Poses Using CNN and LSTM Models. -- Enhancing Rhetorical Role Identification in Legal Documents using Large Language Models and IN_place Data Augmentation. -- Persona-Driven Dialog Generation: Enhancing User Engagement Through Linguistic Proficiency and Personalization. -- Design and Development of a Working Tool for Visual Speech and Speaker Recognition for Marathi and Gujarati Languages. -- Analysis of Tracking Algorithms for Multi-Person Tracking. -- Personalized Human Activity Recognition Using Smartphone Technology. -- Machine Learning Advances in Medical Imaging, Agricultural Monitoring, and Multimedia Processing. -- A Comprehensive Comparative Study of Breast Cancer Detection Using Machine Learning Techniques to Improve Diagnosis. -- Performance Improvement of Machine Learning Algorithms Through Information-Theoretic Class Based Feature Multicorrelation Enabled Feature Selection for Cervical Cancer Prediction. -- Towards Robust Skin Cancer Diagnosis: Deep Fusion of VGG16 and MobileNet Features. -- Deep Transfer Model Based Accurate Brain Tumor Classification in Magnetic Resonance Images. -- Pneumonia Detection from X-ray Images using Deep Transfer Learning. -- Crop Identification by using Machine Learning Classification Algorithm. -- Biotic Stress Classification of Pear Leaves Diseases using Stacking Ensemble Approaches. -- Unveiling Emotions from Audio: A Multi-Model Exploration Leveraging Diverse Datasets. -- A Contrastive Meta-Learning Approach with Isotropic Sparse Decomposition for Scalable Audio-Visual Learning. -- Audio-Based Video Segmentation for Long Duration Videos using Triplet-Loss Based Sentence Transformers and Acoustic Characteristics. -- Video Content Moderation in Instagram. -- An Effective Deep Learning Model for Air-Scripted Alphabet Recognition System. -- Advancements in Privacy-Preservation and Intelligent Detection Systems for Federated Learning and Edge Computing. -- Privacy-Preservation for Federated Learning: Survey and Future Directions. -- Decentralized Health: Federated Deep Learning for Cervical Cytology Image Segmentation. -- Malicious URL Detection using Artificial Intelligence Techniques. -- Deep Forest-based Intrusion Detection System for Edge Intelligence Assisted Smart Homes. -- Statistical Modeling of Temperature Prediction Using Residual Network. -- Investigating Salient Object Detection Methods Tailored for Edge Computing Infrastructure. -- A Novel and Scalable Framework for Analyzing Building Energy Efficiency. -- Assessment on Significant SVM and MLP-Based Optimized Resource Allocation for Load Balancing. -- An Improved and More Effective FSPC-Based Cloud Consumer Legality Process for Protected Data. -- A Review on QoS Aware Approaches in Edge-Fog Computing Environment. 330 $aThis book constitutes the refereed proceedings of the Third International Conference on Computing, Communication and Learning, CoCoLe 2024, held in Warangal, India, in September 2024. The 24 full papers and 10 short papers presented here were carefully reviewed and selected from 149 submissions. These papers have been categorized under the following topical sections: Advancements in AI for Predictive Modeling, Quality Enhancement, and Real-Time Detection Across Various Domains; Machine Learning Advances in Medical Imaging, Agricultural Monitoring, and Multimedia Processing; Advancements in Privacy-Preservation and Intelligent Detection Systems for Federated Learning and Edge Computing. 410 0$aCommunications in Computer and Information Science,$x1865-0937 ;$v2317 606 $aArtificial intelligence 606 $aComputer engineering 606 $aComputer networks 606 $aApplication software 606 $aComputers 606 $aArtificial Intelligence 606 $aComputer Engineering and Networks 606 $aComputer and Information Systems Applications 606 $aComputing Milieux 615 0$aArtificial intelligence. 615 0$aComputer engineering. 615 0$aComputer networks. 615 0$aApplication software. 615 0$aComputers. 615 14$aArtificial Intelligence. 615 24$aComputer Engineering and Networks. 615 24$aComputer and Information Systems Applications. 615 24$aComputing Milieux. 676 $a006.3 700 $aPanda$b Sanjaya Kumar$01735826 701 $aBuyya$b Rajkumar$0722089 701 $aRout$b Rashmi Ranjan$01735827 701 $aBisi$b Manjubala$01667683 701 $aGodboley$b Sangharatna$01738288 701 $aLi$b Kuan-Ching$01078909 701 $aGhosh$b Ashish$01346642 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910983033503321 996 $aComputing, Communication and Learning$94316989 997 $aUNINA