RRJOCB 2026
Comparative Evaluation of Pedigree-Based and Genomic BLUP Models for Wheat Grain Yield Prediction
A Smart Framework that Combines Data Mining and Optimization for Different Applications
Genomic Selection for Grain Yield in Wheat Using Machine Learning on DArT Molecular Markers: A Comparative Evaluation Across Multi-Environment Trials
A Factorial Investigation of Hyperparameter Tuning Strategies for Lasso- Based Genomic Prediction
Neuro-Symbolic Agentic AI for Autonomous Scientific Discovery: Integrating Deep Reinforcement Learning, Quantum Simulation, and XAI-Audited LLM Hypothesis Generation in Drug Target Identification
Harnessing Deep Learning to Explore Microbial Community Structure and Carbon Storage Capacity in Mangrove Ecosystems: A Framework for Computationally
Transforming Rare Disease Diagnosis with AI
Modernizing Pharmacovigilance: Leveraging AI, Automation, and Real-World Data for Drug Safety
Computational Exploration of Aristolochia indica Bioactive Compounds Against Snake Venom Proteins Using Docking and Dynamics Simulations
Modernizing Pharmacovigilance: Leveraging AI, Automation, and Real-World Data for Drug Safety.
Early Alzheimer's Disease Detection Using Deep Ensemble Learning and MRI Image Analysis
Enhanced Multimodal Disease Prediction Using Hybrid Ensemble Learning and AutoML Techniques