Info
- Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.
Computing, Communication and Learning : Third International Conference, CoCoLe 2024, Warangal, India, September 13–15, 2024, Revised Selected Papers / / edited by Sanjaya Kumar Panda, Rajkumar Buyya, Rashmi Ranjan Rout, Manjubala Bisi, Sangharatna Godboley, Kuan-Ching Li, Ashish Ghosh
| Computing, Communication and Learning : Third International Conference, CoCoLe 2024, Warangal, India, September 13–15, 2024, Revised Selected Papers / / edited by Sanjaya Kumar Panda, Rajkumar Buyya, Rashmi Ranjan Rout, Manjubala Bisi, Sangharatna Godboley, Kuan-Ching Li, Ashish Ghosh |
| Autore | Panda Sanjaya Kumar |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (576 pages) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
BuyyaRajkumar
RoutRashmi Ranjan BisiManjubala GodboleySangharatna LiKuan-Ching GhoshAshish |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Artificial intelligence
Computer engineering Computer networks Application software Computers Artificial Intelligence Computer Engineering and Networks Computer and Information Systems Applications Computing Milieux |
| ISBN |
9783031790416
3031790413 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | -- 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. |
| Record Nr. | UNINA-9910983033503321 |
Panda Sanjaya Kumar
|
||
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Proceedings of the 17th Innovations in Software Engineering Conference / / Edited by Sujit Kumar Chakrabarti, Aseem Rastogi, Sudipto Ghosh, Raghavan Komondoor, Raveendra Kumar Medicherla, Lov Kumar, Sangharatna Godboley
| Proceedings of the 17th Innovations in Software Engineering Conference / / Edited by Sujit Kumar Chakrabarti, Aseem Rastogi, Sudipto Ghosh, Raghavan Komondoor, Raveendra Kumar Medicherla, Lov Kumar, Sangharatna Godboley |
| Pubbl/distr/stampa | Association for Computing Machinery, 2024 |
| Descrizione fisica | 1 online resource (144 p.;) |
| Altri autori (Persone) |
ChakrabartiSujit Kumar
RastogiAseem GhoshSudipto KomondoorRaghavan MedicherlaRaveendra Kumar KumarLov GodboleySangharatna |
| Collana | ACM Other conferences |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | ||| |
| Altri titoli varianti | ISEC '24 |
| Record Nr. | UNISA-996585465803316 |
| Association for Computing Machinery, 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Proceedings of the 17th Innovations in Software Engineering Conference / / Edited by Sujit Kumar Chakrabarti, Aseem Rastogi, Sudipto Ghosh, Raghavan Komondoor, Raveendra Kumar Medicherla, Lov Kumar, Sangharatna Godboley
| Proceedings of the 17th Innovations in Software Engineering Conference / / Edited by Sujit Kumar Chakrabarti, Aseem Rastogi, Sudipto Ghosh, Raghavan Komondoor, Raveendra Kumar Medicherla, Lov Kumar, Sangharatna Godboley |
| Pubbl/distr/stampa | Association for Computing Machinery, 2024 |
| Descrizione fisica | 1 online resource (144 p.;) |
| Altri autori (Persone) |
ChakrabartiSujit Kumar
RastogiAseem GhoshSudipto KomondoorRaghavan MedicherlaRaveendra Kumar KumarLov GodboleySangharatna |
| Collana | ACM Other conferences |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | ||| |
| Altri titoli varianti | ISEC '24 |
| Record Nr. | UNINA-9910838169203321 |
| Association for Computing Machinery, 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||