LEADER 03786nam 22007335 450 001 996465591503316 005 20230221153227.0 010 $a3-030-22796-0 024 7 $a10.1007/978-3-030-22796-8 035 $a(CKB)4100000008527402 035 $a(DE-He213)978-3-030-22796-8 035 $a(MiAaPQ)EBC5919802 035 $a(PPN)242823629 035 $a(EXLCZ)994100000008527402 100 $a20190625d2019 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAdvances in Neural Networks ? ISNN 2019$b[electronic resource] $e16th International Symposium on Neural Networks, ISNN 2019, Moscow, Russia, July 10?12, 2019, Proceedings, Part I /$fedited by Huchuan Lu, Huajin Tang, Zhanshan Wang 205 $a1st ed. 2019. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2019. 215 $a1 online resource (XXII, 483 p. 198 illus., 133 illus. in color.) 225 1 $aTheoretical Computer Science and General Issues,$x2512-2029 ;$v11554 311 $a3-030-22795-2 327 $aLearning System, Graph Model, and Adversarial Learning -- Time Series Analysis, Dynamic Prediction, and Uncertain Estimation -- Model Optimization, Bayesian Learning, and Clustering -- Game Theory, Stability Analysis, and Control Method -- Signal Processing, Industrial Application, and Data Generation -- Image Recognition, Scene Understanding, and Video Analysis -- Bio-signal, Biomedical Engineering, and Hardware. 330 $aThis two-volume set LNCS 11554 and 11555 constitutes the refereed proceedings of the 16th International Symposium on Neural Networks, ISNN 2019, held in Moscow, Russia, in July 2019. The 111 papers presented in the two volumes were carefully reviewed and selected from numerous submissions. The papers were organized in topical sections named: Learning System, Graph Model, and Adversarial Learning; Time Series Analysis, Dynamic Prediction, and Uncertain Estimation; Model Optimization, Bayesian Learning, and Clustering; Game Theory, Stability Analysis, and Control Method; Signal Processing, Industrial Application, and Data Generation; Image Recognition, Scene Understanding, and Video Analysis; Bio-signal, Biomedical Engineering, and Hardware. . 410 0$aTheoretical Computer Science and General Issues,$x2512-2029 ;$v11554 606 $aArtificial intelligence 606 $aComputer vision 606 $aNumerical analysis 606 $aData mining 606 $aComputer science?Mathematics 606 $aAlgorithms 606 $aArtificial Intelligence 606 $aComputer Vision 606 $aNumerical Analysis 606 $aData Mining and Knowledge Discovery 606 $aMathematical Applications in Computer Science 606 $aAlgorithms 615 0$aArtificial intelligence. 615 0$aComputer vision. 615 0$aNumerical analysis. 615 0$aData mining. 615 0$aComputer science?Mathematics. 615 0$aAlgorithms. 615 14$aArtificial Intelligence. 615 24$aComputer Vision. 615 24$aNumerical Analysis. 615 24$aData Mining and Knowledge Discovery. 615 24$aMathematical Applications in Computer Science. 615 24$aAlgorithms. 676 $a006.3 702 $aLu$b Huchuan$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aTang$b Huajin$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aWang$b Zhanshan$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996465591503316 996 $aAdvances in Neural Networks ? ISNN 2019$92502761 997 $aUNISA LEADER 04501oam 2200601I 450 001 9910787725603321 005 20230607231703.0 010 $a1-136-49704-8 010 $a0-367-08779-0 010 $a1-136-49697-1 010 $a1-315-01609-5 024 7 $a10.4324/9781315016092 035 $a(CKB)2670000000518639 035 $a(EBL)1619090 035 $a(OCoLC)437084710 035 $a(MiAaPQ)EBC1619090 035 $a(Au-PeEL)EBL1619090 035 $a(CaPaEBR)ebr10836772 035 $a(CaONFJC)MIL573507 035 $a(OCoLC)870226907 035 $a(OCoLC)1000426702 035 $a(EXLCZ)992670000000518639 100 $a20180331d2002 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $2rdacontent 182 $2rdamedia 183 $2rdacarrier 200 10$aPeasant women and politics in Fascist Italy $ethe Massaie rurali /$fPerry Willson 210 1$aLondon ;$aNew York :$cRoutledge,$d2002. 215 $a1 online resource (236 p.) 300 $aDescription based upon print version of record. 311 $a0-415-86644-8 311 $a0-415-29171-2 320 $aIncludes bibliographical references and index. 327 $aCover; Half Title; Title Page; Copyright Page; Table of Contents; List of plates; Acknowledgements; List of abbreviations; Glossary of Italian terms and organizations; Map of Italy; Introduction; The Sezione Massaie Rurali dei Fasci Femminili; Notes; 1.Peasant women, the rural world and the Fasci Femminili; The ruralization campaign andfascist agricultural policy; The role ofwomen in agriculture; The Fasci Femminili and rural questions; Notes; 2.Ladies in the field: women's farm education, the Unionedelle Massaie della Campagna and Domus Rustica; Agricultural education in Italy before 1933 327 $aWomen's agricultural educationThe Unione delle Massaie delta Campagna; Domus rustica; Towards the future; Notes; 3.'An Extraordinary Thing': the National Fascist Federation of Massaie Rurali; Fascist unions; Regina Terruzzi; The National Fascist Federation of Massaie Rurali; L'azione delle massaie rurali; Activities of the FNFMR; Notes; 4. 'Going to the People': the Massaie Rurali section of the Fasci Femminili; 'Going to the People' - the political project; Structure; Funding; Organizers and peasants: class hierarchies reinforced; Notes 327 $a5.'Into Every Farmhouse and Cottage': propagandain printThe newspaper; Pamphlets and other occasional publications; The almanac and calendar; Delivering the message; Notes; 6.'Women with a Hundred Arms': the training programme; Rational agriculture; Competitions; Handouts; Rabbits and chickens; Intervening in the market; War, autarky and the nation; Training the trainers; Notes; 7.'At the Gates of Rome': the Sant'Alessio Training College; Aurelia Josz and the Niguarda school; The Sant'Alessio Teacher Training College; Training the Massaie leaders; Beyond training; Notes 327 $a8.A Dopolavoro for rural women? radio, film and folkloreWelfare and leisure; Getting out; Film; Radio; North and South; Notes; 9.Recruiting for the nation: Why did three million jointhe Massaie Rurali?; Who joined?; Regional differences; The Church; Reggio Emilia; The South; Future voters; Notes; Epilogue; 1943-5; Modernization?; Political legacy; The Coldiretti; The UMC and the Coldiretti; Donne Rurali; Notes; Index 330 $aPeasant women were the largest female occupational group in Italy between the wars. They led lives characterised by great poverty and heavy workloads, but Fascist propaganda extolled them as the mothers of the nation and the guardians of the rural worlds, the most praiseworthy of Italian women.This study is the first published history of the Massaie Rurali, the Fascist Party's section for peasant women, which, with three million members by 1943, became one of the largest of the regime's mass mobilizing organizations. The section played a key role in such core fascist campaigns as 606 $aWomen peasants$xPolitical activity$zItaly$xHistory$y20th century 606 $aFascism and women$zItaly$xHistory$y20th century 615 0$aWomen peasants$xPolitical activity$xHistory 615 0$aFascism and women$xHistory 676 $a324.245/02 700 $aWillson$b Perry R.$0475031 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910787725603321 996 $aPeasant women and politics in fascist Italy$91237050 997 $aUNINA LEADER 06811nam 22007455 450 001 9910983033503321 005 20250201115251.0 010 $a9783031790416 010 $a3031790413 024 7 $a10.1007/978-3-031-79041-6 035 $a(CKB)37447489400041 035 $a(MiAaPQ)EBC31897285 035 $a(Au-PeEL)EBL31897285 035 $a(OCoLC)1496393537 035 $a(DE-He213)978-3-031-79041-6 035 $a(EXLCZ)9937447489400041 100 $a20250201d2025 u| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $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