# Research by Touhidul Alam Seyam

Published work in applied machine learning, computer vision, health and agricultural diagnostics, and AI-assisted software systems.

- 2026. [Architectures for AI-Driven Visual Assistance: Evaluating Server-Mediated Mobile and Direct Access Desktop Client Implementations](https://doi.org/10.1007/978-3-032-15764-5_45). Lecture Notes in Networks and Systems.
- 2025. [Enhancing Agricultural Diagnostics: Advanced Training of Pre-Trained CNN Models for Paddy Leaf Disease Detection](https://doi.org/10.11648/j.mlr.20251001.11). Machine Learning Research.
- 2025. [Next-Generation K-Means Clustering: Mojo-Driven Performance for Big Data](https://doi.org/10.11648/j.ijiis.20251401.12). International Journal of Intelligent Information Systems.
- 2025. [Efficient Malware Classification Using Multiprocessing and Bag-of-Words Vectorization](https://doi.org/10.11648/j.net.20251201.12). Advances in Networks.
- 2025. [Fine-tuning LLaMA 2 interference: a comparative study of language implementations for optimal efficiency](https://arxiv.org/abs/2502.01651). arXiv:2502.01651.
- 2025. [Comparative Performance Evaluation of Classical Machine Learning and Quantum SVM for Heart Disease Prediction using a Quantum-Featured Dataset](https://su.edu.bd/web_assets/journal/journal_five/journal3.pdf). Sonargaon University Journal.
- 2024. [AgriScan: Next.js powered cross-platform solution for automated plant disease diagnosis and crop health management](https://doi.org/10.1186/s43067-024-00169-7). Journal of Electrical Systems and Information Technology.
- 2024. [Application of Machine Learning K-Means Clustering and Linear Regression in Determining the Risk Level of Pulmonary Tuberculosis](https://doi.org/10.1109/COMPAS60761.2024.10796963). IEEE COMPAS.
- 2024. [Enhancing Cardiovascular Risk Prediction Using Support Vector Machines and Advanced Machine Learning Algorithms](https://doi.org/10.1109/COMPAS60761.2024.10796805). IEEE COMPAS.
- 2024. [Comparing pre-trained models for efficient leaf disease detection: a study on custom CNN](https://doi.org/10.1186/s43067-024-00137-1). Journal of Electrical Systems and Information Technology.

[ORCID](https://orcid.org/0009-0007-7512-1893) · [Google Scholar](https://scholar.google.com/citations?user=gRkTVYEAAAAJ&hl=en) · [Contact](https://seyamalam.vercel.app/contact)