Research record
A focused record of peer-reviewed articles and preprints, ordered by relevance to my research direction. Each entry identifies its publication status, methods, findings, and limits.
A review of multimodal AI, label-efficient learning, and model trustworthiness for breast cancer detection, with a focus on the evidence needed for clinical use.
A two-stage study transferring CNN genetic-algorithm hyperparameters into compact transformer and recurrent-hybrid models for English handwriting and MNIST recognition.
A controlled failure analysis that separates evidence retrieval from answer generation on DocVQA and MP-DocVQA.
A systematic review of 28 studies on deep learning for seafood freshness assessment, covering sensing technologies, reference measurements, and readiness for use outside the lab.
A controlled analysis of how optimizer choice, training duration, augmentation, and convolutional settings change both accuracy and execution time in lightweight CNNs.
A systematic review of 33 journal studies examining representation learning, generalization, security, and deployment evidence for transformer-based face recognition.
A comparative synthesis of human tutoring, AI-supported tutoring, and low-bandwidth mobile interventions for improving equitable access to education in Sub-Saharan Africa.