Research
Applied AI • Enterprise Technology
Detecting Hidden Bias in Machine Learning Models: A Systematic Approach to Fairness Evaluation and Mitigation
Machine learning systems increasingly influence critical decisions affecting individuals and communities. While models may demonstrate…
Time Series Modeling for Forecasting: A Practical Framework for Data-Driven Temporal Analysis in Machine Learning
Time series forecasting plays a critical role in modern machine learning applications across finance, healthcare,…
Transfer Learning in Natural Language Processing: Practical Techniques with Pretrained Language Models
Transfer learning has transformed natural language processing by enabling pretrained language models to be adapted…
Transfer Learning for Computer Vision: Practical Techniques for CNNs and Vision Transformers
Transfer learning has transformed modern computer vision by enabling powerful AI models to achieve high…
Deep Learning for Plant Disease Detection: A Practical Framework for Image-Based Crop Diagnosis
Research note on using deep learning for image-based plant disease detection, crop diagnosis, and practical…
Deep Learning for Skin Cancer Detection: A Practical Framework for Automated Skin Lesion Classification
This research note presents a practical deep learning framework for automated skin lesion classification, showing…