Description
Book Synopsis.- A Real-Time Human Action Recognition Model for Assisted Living.
.- A Survey of Federated Learning-Based Intrusion Detection Methods in Medical IoT
.- AI-based automatic counting and classification of aedes mosquito eggs in field traps.
.- An Empirical Review of Uncertainty Estimation for Quality Control in CAD Model Segmentation.
.- Brain Inspired Learning for Neural Networks.
.- Comparative Analysis of Machine Learning Techniques for Chronic Kidney Disease Prediction Efficiency.
.- Detecting Anomalous Self-Citations using Citation Network Analysis and LLMs.
.- Early Detection of Voice Pathology from Cry Analysis Using Non-Interpretable Features and Parallel 1D CNN.
.- Easy, Fast and Reliable Modulo and Linear Congruential Generator Approximation with Artificial Neural Networks.
.- EEG-based Hybrid Emotion Recognition Model with Statistical-Wavelet Features and Modality-Agnostic Loss.
.- ESN with delayed inputs to model industrial processes.
.- Exploring Knowledge Distillation for Model Compression in Edge Environments.
.- Exploring Various Sequential Learning Methods for Deformation History Modeling.
.- FusionNet:Leveraging Dual Speech Separation Networks for Enhanced Multi-Speaker Isolation.
.- Hybrid Deep Learning and Gradient Boosting for Superior Sentiment Analysis: A Comparative Study.
.- Implementing Hybrid Tsetlin Machine and Q-Learning for Solving the Job Shop Scheduling.
.- Maximum Interstory Drift Ratio (MIDR) equations for R/C buildings using machine learning procedures.
.- MRI-Based Brain Tumor Classification Using Ensemble CNN, VGG16, and ResNet50 Model.
.- Needle-in-the-Haystack Testing LLMs with a Complex Reasoning Task.
.- Utilizing Multiple Data Sources to Improve Prediction of Severe Weather Events through Spatio-Temporal Analysis.
