1. Stochastic Gradient Descent

• Adaptive random Fourier feature kernel least mean square (ARFF-KLMS) algorithm

• Random Fourier feature kernel least mean square (RFF-KLMS) algorithm

• Adaptive LMS Algorithms Implementation: Mastering Dynamic Environments with Adaptive Learning

• Robust adaptive system identification and noise filtering using Bregman divergence based algorithms

• Bregman Divergence Based Approach for Adaptive System Identification and Line Enhancement

2. Distributed Optimization and Multi-agent Networks

• Online federated learning (Online-Fed) algorithm 

• Partial sharing online federated learning (PSO-Fed) algorithm 

3. Internet of Things 

• A Hybrid CDG-CSF Based Approach for Enhancing Lifetime of Wireless Sensor Network

4. Machine Learning and Computer Vision

• BrainDiffU-Net: A Distributed Diffusion-Based U-Net for Brain Tumor Segmentation

• BrainSegNet: Brain MRI Segmentation with U-Net in PyTorch

• Brain Tumor Detection Using Support Vector Machine (SVM)

• Use a Pre-trained Image Classifier to Identify Dog Breeds

• Mean Normalization and Data Separation

• Stock Data Statistics

• The Python Cook: Cooking Up Code Like Walter White

• Adaptive Signal Processing: Lecture Notes

• Basics of Neural Network: Revision Notes

• Computer Vision: Lecture Notes