Python
Deep Learning
Evolving Malware and DDoS Attacks: Decadal Longitudinal Study
Facemask Wearing Alert System Based on Simple Architecture With Low-Computing Devices
Facilitating Leucocyte Count Using Deep Learning A Paradigm Shift
House Price Prediction Using Machine Learning And Neural Networks
Hyphatia: A Card-Not-Present Fraud Detection System Based on Self-Supervised Tabular Learning
Aim:
To develop a fraud-detection system that learns patterns directly from transaction data without relying on labels. Captures differences between legitimate and fraudulent activity using an unsupervised representation-learning approach. It improve fraud-spotting accuracy by training simple classifiers on these learned representations instead of raw features.
Impact of Fuzziness for Skin Lesion Classification with Transformer-Based Model
Interpretable Deep Learning Framework for Land Use and Land Cover Classification in Remote Sensing Using SHAP
Krushi Sahyog: Plant disease identification and Crop recommendation using Artificial Intelligence
LCDctCNN: Lung Cancer Diagnosis of CT scan Images Using CNN Based Model
LE-YOLO: Lightweight and Efficient Detection Model for Wind Turbine Blade Defects Based on Improved YOLO
Lightweight Detection Algorithm for Breast-Mass Features in Ultrasound Images
