Research projects carried out by final year Computer Engineering students as part of coursework
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Acceleration of deep neural network based nanopore super accuracy basecalling (E17)
Applying deep learning on histological images of lymph tissues (E17)
Comparative Analysis of 2nd and 3rd Generation Sequencing (E17)
Comprehensive ECG analysis with Deep Learning on GPU accelerators (E17)
Deep Learning for Side Channel Attacks (E17)
Human Emotion Detection with Electrocardiographic Electroencephelographic and Other Signals (E17)
Improving Trajectory Guided Control Prediction for Autonomous Driving (E17)
Investigating Onchip Sensor Based RPA Attack Vulnerabilities of Light Weight Ciphers (E17)
Large Language Models in Education (E17)
Low Complexity Algorithm for Arrhythmia Detection (E17)
Music Emotion Recognition (E17)
Neuromorphic NoC Architecture for SNNs (E17)
OCR and Translation from Sinhala to Tamil for Printed Documents (E17)
S2TPVFormer (E17)
Virtual Patient Simulator for Skill Training in Dentistry (E17)
develop a programming and compiler toolchain for multi agent systems (E17)
flexible glove for real time tracking and analysis of hand and finger movements (E17)
network anomaly detection (E17)
novel compression methods for nanopore raw signal data (E17)
os initiated cache switching to minimize performance loss in context switches (E17)
using machine learning in high stake settings (E17)