Resources

A novel approach to lightweight integrated tracking and feature extraction that optimizes performance while maintaining accuracy in real-time applications.

A comprehensive evaluation framework designed to assess real-time multi-object tracking systems, providing practical metrics for optimal and realistic performance measurement.

A novel feature engineering framework leveraging smartphone interactions and smartwatch data to predict user receptivity for just-in-time interventions, demonstrating consistent performance gains across machine learning models.

An adaptive IDS using CNN and LSTM models to classify network traffic, achieving superior detection performance on benchmark datasets.

An evaluation framework analyzing the impact of packet sampling on ML-based network intrusion detection, revealing sampling-induced blind spots and highlighting superior sampler–classifier combinations for robust detection.

A deep learning-based intrusion detection framework employing 1D-CNN to effectively classify network traffic, offering robust flexibility and improved performance against unpredictable cyberattacks.

A CNN-based W-Net framework for classifying white blood cells, achieving 97% accuracy on a large-scale real-world dataset.

Lightweight Integrated Tracking-Feature Extraction system for multi-object tracking with 3.6x speed improvements and high accuracy on MOT17/MOT20 benchmarks.

Research and Development template for AI projects with standardized structure and best practices for rapid prototyping and experimentation.

Documentation template using MkDocs for creating beautiful, searchable documentation sites with consistent branding and structure.

Production-ready Nginx server configuration template with security best practices, SSL setup, and performance optimizations.

FastAPI REST API template with authentication, database integration, testing setup, and comprehensive API documentation.

Machine learning model template with MLOps best practices, model versioning, and deployment-ready structure for AI applications.

Python module template with packaging, testing, CI/CD setup, and documentation for creating reusable Python packages.