Master’s thesis position (M.Sc. student) in Deep Learning for Healthcare.
An AI-driven computational toolkit, Gcoupler, integrates ligand design, statistical modeling, and graph neural networks to predict endogenous metabolites that allosterically modulate the GPCR–Gα ...
Abstract: Brain tumors are among the deadliest diseases worldwide and require early and accurate diagnosis via Magnetic Resonance Imaging (MRI). Deep learning techniques, particularly convolutional ...
This project uses deep learning techniques to detect malware by analyzing file characteristics, byte sequences, and behavioral patterns. It employs Convolutional Neural Networks (CNNs) for image-based ...
Deep Learning Classification of Concrete Crack Images using Pre-trained AlexNet and GoogleNet Models
Abstract: Cracking in concrete walls is a common issue in construction, often leading to structural weakening. Such damage can significantly impact both maintenance and repair costs. Concrete wall ...
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