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Data Science, AI and Applications : First International Conference, ICDSAIA 2025, Dhaka, Bangladesh, July 18–19, 2025, Proceedings, Part III / / edited by Shivakumara Palaiahnakote, Rajesh Palit, Mo Saraee, Pradeep K. Atrey, Xiang Bai, Balasubramanian Raman
| Data Science, AI and Applications : First International Conference, ICDSAIA 2025, Dhaka, Bangladesh, July 18–19, 2025, Proceedings, Part III / / edited by Shivakumara Palaiahnakote, Rajesh Palit, Mo Saraee, Pradeep K. Atrey, Xiang Bai, Balasubramanian Raman |
| Autore | Palaiahnakote Shivakumara |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (716 pages) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
PalitRajesh
SaraeeMo AtreyPradeep K BaiXiang RamanBalasubramanian |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Artificial intelligence
Artificial intelligence - Data processing Machine learning Computer vision Artificial Intelligence Data Science Machine Learning Computer Vision |
| ISBN |
3-032-11355-5
9783032113559 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Part-vol-I. Part-vol-II. Part-vol-III. -- Network-Based Approaches and Gene Expression Profiling to Identify the Molecular Mechanism of Stomach Cancer. -- Smart Urban Farming: Integrating AI and IoT with Renewable Energy in Vertical Farming. -- Comparative Analysis of Classification and Regression Models for Schizophrenia Risk Prediction. -- A Review for Bridging Clinical and Technical Gaps with Hybrid-ML in Schizophrenia Diagnosis. -- Adaptive Aggregated Federated Learning for Real-Time Intrusion Detection in Edge Computing. -- An Intelligent Bin with Sensor Integration and Ensemble Machine Learning-Based Fill Prediction. -- Optical Character Recognition for Dari Language in Afghanistan. -- Detecting AI-Generated Text Using Machine Learning: A Comparative Study of MLP and RoBERTa-Based Models. -- Vision Guard: Computer Vision-Based Door Detection and Navigation Assistance for the Visually Impaired. -- IoT Enabled Pest Detection and Disease Management System for Agriculture 4.0. -- Design and Implementation of an AI-Powered Outcome-Based Education (OBE) Management System. -- Fake Review Detection in Low-Resource Settings with Multilingual Transformer Models: The Case of Bangla. -- SimBlock-PoS: Enhancing SimBlock to Evaluate Stake-Based and Work-Based Blockchain Consensus Mechanisms. -- Improving Missing Data Imputation with GF-WAI: An Explainable AI-Based Ensemble Method for Dengue Disease Prediction. -- Logistic Regression-based Machine Learning Model for Early Alzheimer’s Detection Using the OASIS Dataset. -- A Deep Learning-Based Framework for Bangla Vehicle License Plate Detection and Recognition. -- Harnessing AI for Early Detection of Tomato Leaf Diseases: A Machine Learning Perspective. -- RoadNet: A Deep Learning Framework for Road Extraction from Remote Sensing Data. -- Explainable Machine Learning for Fall Detection and Alert System: A Cloud-Integrated Approach Using Smartphone Sensors. -- Malicious Domain Detection with Deep Learning and Bayesian Optimization Approaches. -- Ecological Overshoot: The Blindspot of Sustainable Computing. -- Plant Disease Classification by Ensemble Metaheuristic-Deep Learning Approach. -- Analysing and Predicting Housing Affordability Trends in the UK Using Machine Learning. -- An End-to-End Aspect-Based Sentiment Analysis Framework for a Real-Time Personalized Product Recommendation System. -- A Lightweight Transformer-Based Encoder-Decoder Model for Video Summarization. -- A Multi-Agent RAG system for Legal Information Retrieval in Bangladesh. -- Data-Efficient Image Transmission and Enhancement for UAVs: A Color Quantization and Super-Resolution Approach. -- An Evaluation of Advanced Neural Network and Machine Learning Models for Sentiment Analysis on Product Reviews. -- Harnessing Machine Learning to Analyze Passenger Sentiments in the Bangladesh Railway System. -- Investigating the VR rollercoaster experience by applying AI models to biometric data. -- Assessing Electronic Customer Relationship Management Readiness in Banks. -- A Comparative Analysis of State-of-the-Art Speech-to-Text models for court applications. -- The Key Determinants of Road Accidents: A Machine Learning Analysis. |
| Record Nr. | UNINA-9911049067903321 |
Palaiahnakote Shivakumara
|
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Data Science, AI and Applications : First International Conference, ICDSAIA 2025, Dhaka, Bangladesh, July 18–19, 2025, Proceedings, Part I / / edited by Shivakumara Palaiahnakote, Rajesh Palit, Mo Saraee, Pradeep K. Atrey, Xiang Bai, Balasubramanian Raman
| Data Science, AI and Applications : First International Conference, ICDSAIA 2025, Dhaka, Bangladesh, July 18–19, 2025, Proceedings, Part I / / edited by Shivakumara Palaiahnakote, Rajesh Palit, Mo Saraee, Pradeep K. Atrey, Xiang Bai, Balasubramanian Raman |
| Autore | Palaiahnakote Shivakumara |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (727 pages) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
PalitRajesh
SaraeeMo AtreyPradeep K BaiXiang RamanBalasubramanian |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Artificial intelligence
Artificial intelligence - Data processing Machine learning Computer vision Artificial Intelligence Data Science Machine Learning Computer Vision |
| ISBN |
3-032-11335-0
9783032113351 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Part-vol-I. -- Deep Learning-Based Potato Leaf Disease Classification Using a Custom CNN. -- Enhanced Rice Leaf Diseases Classification Using ResNet50 on a Bangladeshi Dataset. -- AI-Driven Multilayered Cybersecurity Intelligence Framework for Critical Infrastructure Protection. -- Enhancing Candidate Selection with NLP-Driven Resume Analysis for Industry 4.0 Recruitment Systems. -- Clothes-Changing Person Re-identification with Unique Identity-Specific Attribute Details. -- MAST-GCN: Multi-Part Attention-Guided Spatial-Temporal GCN Approach for Gait-Based Person Recognition. -- Evaluation of CNNs for Flower Classification: A Study on Computational Efficiency and Model Performance. -- A Transformer based approach for Real-Time Sentiment Analysis of Transliterated Bengali Text. -- Automated Classification of Husk Species Using DenseNet121 and Vision Transformer. -- Attention-Driven Ensemble Learning: Enhancing Diabetes Prediction in Data-Scarce Environments. -- Interpretable IoT-Enabled Machine Learning Framework on Optimized Climate Information for Crop Yield and Resource Usage. -- Comprehensive Predictive Insights: Leveraging Clinical Data for Hepatitis C Prediction with Machine Learning and Deep Learning. -- A Systematic Taxonomy of Neural Network Architectures: Principles, Trade-offs, and Future Directions. -- Predicting and Explaining Fatal Road Casualty Types in Great Britain: A Comparative Analysis of Machine Learning, Deep Learning, and Transformers. -- Obstructive Sleep Apnea Detection using 1D CNN-LSTM approach. -- Fusing ResNet50 and VGG16 for Enhanced Diagnosis of Acute Lymphoblastic Leukemia: A MultiNet Ensemble Approach. -- Deriving Biologically Relevant Rules in Breast Cancer Subtypes using FP-Growth Algorithm. -- EEG-Based Depression Detection Using CNNs and Heatmaps. -- Deep Learning-Enhanced OCT Image Analysis Pipeline: Integrating Denoising, Super-Resolution, and Fuzzy Logic for Improved Clinical Diagnostics. -- Understanding Public Perceptions and Behaviours Towards COVID-19 Vaccination: A Multifaceted Analysis. -- Early Thyroid Disease Diagnosis Using a Hybrid Ensemble Learning Approach with Feature Selection, SMOTE, and Model Explainability. -- Preprocessed Lung Data Evaluation Using SVM for Superior Cancer Diagnosis. -- A Deep Learning Approach for Detecting Pests and Diseases in Maize Crops. -- Privacy-Preserving Prediction of Chronic Kidney Disease Using Ensemble Machine Learning with Laplacian Differential Privacy and Explainable AI. -- Channel Attention Mechanism in Hybrid Deep Learning Model for Accurate Brain Tumor Classification. -- Hybrid Artificial Intelligence for Forecasting Renewable Energy Consumption with Ensemble Machine Learning and Time Series Models. -- Optimizing American Sign Language Recognition with Binarized Neural Networks: A Comparative Study with Traditional Models. -- An Explainable and Ensemble Approach for Skin Lesion Classification Using Attention-Based Lightweight CNNs. -- Handling Imbalanced Datasets with Real-World Positive Samples in Dengue Prediction Using Machine and Deep Learning Models. -- FAKD-XAI: Feature-Aligned Knowledge Distillation with Explainable AI for Efficient Brain Tumor Classification. -- Advancing Web-based Bilingual Spam Detection System with XLM-RoBERTa: Dataset Creation and Model Fine-Tuning. -- An Interpretable Hybrid Framework for Brain Tumor Classification: Fusion of EfficientNetV2L, ViTs, and Attention Mechanisms. -- Moment Detection at Scale: Dataset-Driven Techniques for Temporal Localization. Part-vol-II. Part-vol-III. |
| Record Nr. | UNINA-9911049160403321 |
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Palaiahnakote Shivakumara
|
||
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||