Advances in IoT and Security with Computational Intelligence
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Advances in IoT and Security with Computational Intelligence
Proceedings of ICAISA 2025, Volume 2
Jha, Meena; Mishra, Anurag; Goswami, Rajat Subhra; Gupta, Deepak; Singh, Upasana Gitanjali
Springer Nature Switzerland AG
05/2026
485
Mole
Inglês
9783032103024
Pré-lançamento - envio 15 a 20 dias após a sua edição
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A Hybrid Approach for plant leaf detection using AlexNet-Extreme Learning Machine (AlexNet-ELM) classifier.- Benchmarking Conventional Agricultural Practices: A Parameter-Driven Comparative Analysis.- Banana Leaf Diseases Detection Using YOLOv11.- Pineapple Harvesting: Efficient Detection and Classification using YOLOv9 with Machine Learning.- Evaluation of various CAM methods for Medical Image Analysis.- Integrating Blockchain with Federated Learning for Detecting Alzheimer Disease.- A resilient Gesture Recognition system for Agricultural Practices.- Bridging Thought and Image: Conditional GANs for Image Synthesis from EEG Signals.- Heart Disease Prognosis using Machine Learning Approaches: A Comprehensive Analysis.- Deep Learning Architectures for Early Detection of Skin Cancer.- Research Trends and Patterns for Leaf Disease Severity Assessment Using Deep Learning Techniques.- Integrating Deep Convolutional Neural Networks and IoT Technology for Advancements in Healthcare.- Emotion Extraction Applied in Mental Health Monitoring.- Advanced Deep Learning Techniques for Integrating Multi-Omics Data in Cancer Research and Precision Medicine.- Advanced Deep Learning Techniques for Enhancing Speech and Language Therapy in Neurological Disorder Rehabilitation.- AI-Powered Deep Learning Framework for Early Detection and Classification of Autism Spectrum Disorder.- Leveraging Convolutional Neural Networks for Precision Weed Detection and Management in Smart Farming.- Advancements in Sentiment Analysis: Applications, Challenges, and Hybrid Machine Learning Approaches.- Prediction of Spectra of a Metal Nanoparticle using Deep Learning for Biomedical Applications.- Optimizing Skin Cancer Detection with EfficientNetB7: A Deep Learning Approach.- Predicting Health Insurance Claims Using Machine Learning-Based Framework.- Benign and Malignant Skin Lesion Classification from Melanoma Skin Cancer Images Using Machine Learning Models.- A Deep Learning Framework for Stress and Depression Detection.- Investigating the Effect of Musical Stimulus through Spectral P and T Wave Features in ECG Signal.- Advanced Tuberculosis Detection Algorithm using CNN.- Emotion Detection from Gujarati Text Stories using Lexicon Based Approach.- Exploring Deep Learning Methods for Accurate ECG Arrhythmia Classification.- Transforming Rural Healthcare: A Study on Skin Disease Detection in India.- Improved Splice Site Prediction in Genomic DNA using Machine Learning Approaches.- Investigating the Use Of Ingestible Sensors And Smart Pills To Monitor Patient Compliance And Gather Health Data.- Sentiment Analysis of Reviews on Amazon Alexa.- Automated Diagnosis of Schizophrenia through EEG Signals using a hybrid model of CNN with LSTM and Attention Networks.- A-VAE: Attention-based Variational Autoencoders for De Novo Drug Design.- EEG-Based Schizophrenia Detection Using a Hybrid 1D CNN-SVM Model.- Hybridization of CNN and ViT Features for Enhanced Brain Tumor Classification.- Deep Learning for Blood Cell Classification: A Comparison of Fine-Tuned Architectures on BloodMNIST.- Privacy Preserved and Practical Implementation for Distributed Machine Learning in Radiology.- Malaria pathogen detection in microscopy images- transfer learning challenges.- Real-Time Emotion Detection from Video for Autism Support Using CNN with Gujarati Audio Output.- Technological Advancements and Trends in Cyber-Physical Systems for Healthcare: A Systematic Review.- Confidence-Weighted Ensemble Learning: A Case Study in Parkinson's Detection Using Keystroke Dynamics.
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Internet of Things;Artificial Intelligence;Machine Learning;Cyber Physical System;Copyright Protection and Authentication;Network Security ;Data Analytics;ICAISA 2025 Proceedings
A Hybrid Approach for plant leaf detection using AlexNet-Extreme Learning Machine (AlexNet-ELM) classifier.- Benchmarking Conventional Agricultural Practices: A Parameter-Driven Comparative Analysis.- Banana Leaf Diseases Detection Using YOLOv11.- Pineapple Harvesting: Efficient Detection and Classification using YOLOv9 with Machine Learning.- Evaluation of various CAM methods for Medical Image Analysis.- Integrating Blockchain with Federated Learning for Detecting Alzheimer Disease.- A resilient Gesture Recognition system for Agricultural Practices.- Bridging Thought and Image: Conditional GANs for Image Synthesis from EEG Signals.- Heart Disease Prognosis using Machine Learning Approaches: A Comprehensive Analysis.- Deep Learning Architectures for Early Detection of Skin Cancer.- Research Trends and Patterns for Leaf Disease Severity Assessment Using Deep Learning Techniques.- Integrating Deep Convolutional Neural Networks and IoT Technology for Advancements in Healthcare.- Emotion Extraction Applied in Mental Health Monitoring.- Advanced Deep Learning Techniques for Integrating Multi-Omics Data in Cancer Research and Precision Medicine.- Advanced Deep Learning Techniques for Enhancing Speech and Language Therapy in Neurological Disorder Rehabilitation.- AI-Powered Deep Learning Framework for Early Detection and Classification of Autism Spectrum Disorder.- Leveraging Convolutional Neural Networks for Precision Weed Detection and Management in Smart Farming.- Advancements in Sentiment Analysis: Applications, Challenges, and Hybrid Machine Learning Approaches.- Prediction of Spectra of a Metal Nanoparticle using Deep Learning for Biomedical Applications.- Optimizing Skin Cancer Detection with EfficientNetB7: A Deep Learning Approach.- Predicting Health Insurance Claims Using Machine Learning-Based Framework.- Benign and Malignant Skin Lesion Classification from Melanoma Skin Cancer Images Using Machine Learning Models.- A Deep Learning Framework for Stress and Depression Detection.- Investigating the Effect of Musical Stimulus through Spectral P and T Wave Features in ECG Signal.- Advanced Tuberculosis Detection Algorithm using CNN.- Emotion Detection from Gujarati Text Stories using Lexicon Based Approach.- Exploring Deep Learning Methods for Accurate ECG Arrhythmia Classification.- Transforming Rural Healthcare: A Study on Skin Disease Detection in India.- Improved Splice Site Prediction in Genomic DNA using Machine Learning Approaches.- Investigating the Use Of Ingestible Sensors And Smart Pills To Monitor Patient Compliance And Gather Health Data.- Sentiment Analysis of Reviews on Amazon Alexa.- Automated Diagnosis of Schizophrenia through EEG Signals using a hybrid model of CNN with LSTM and Attention Networks.- A-VAE: Attention-based Variational Autoencoders for De Novo Drug Design.- EEG-Based Schizophrenia Detection Using a Hybrid 1D CNN-SVM Model.- Hybridization of CNN and ViT Features for Enhanced Brain Tumor Classification.- Deep Learning for Blood Cell Classification: A Comparison of Fine-Tuned Architectures on BloodMNIST.- Privacy Preserved and Practical Implementation for Distributed Machine Learning in Radiology.- Malaria pathogen detection in microscopy images- transfer learning challenges.- Real-Time Emotion Detection from Video for Autism Support Using CNN with Gujarati Audio Output.- Technological Advancements and Trends in Cyber-Physical Systems for Healthcare: A Systematic Review.- Confidence-Weighted Ensemble Learning: A Case Study in Parkinson's Detection Using Keystroke Dynamics.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
