Engineering Applications of Neural Networks, Kartoniert / Broschiert

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.- 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.