Vulnerability Detection and Monitoring Using LLM
Advanced methods for identifying vulnerabilities.
Using large language models to enhance detection accuracy.
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Our research initiatives.
Research and development at TechOptima—applied work that advances detection, classification, reasoning and multi-agent systems.
Comparative Analysis of Diverse Architectures for Accurate Blood Cancer Cell Classification
Innovations in medical AI applications.
Exploring architectures for precise cancer cell classification.
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Hybrid Q-Learning with VLMs Reasoning Features
Hybrid reinforcement learning research.
A hybrid reinforcement learning framework that integrates Vision Language Models perception, symbolic reasoning, and Q-learning for navigation in grid world environments.
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A Multi-Agent Garage Service Search and Recommendation with Hybrid MLs and LLMs
Multi-agent systems and recommendations.
Creative approaches that combine hybrid ML and LLM techniques to improve operational effectiveness and user experience in service search and recommendation.
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