Cervical cancer detection and diagnosis are undergoing a transformation with the integration of advanced deep learning (DL) technologies. Despite ...
A machine learning project to predict loan default risk using financial and credit history data. Built as part of a team capstone project in master degree at Deakin University. BayesCOOP is a scalable ...
This project implements a binary classification system to predict whether a person is lying in bed based on sensor data collected from a Home Assistant smart home installation. The system analyzes ...
Abstract: Network traffic classification (NTC) is vital for efficient network management, security, and performance optimization, particularly with 5G/6G technologies. Traditional methods, such as ...
AppliedAI Opens Opus to All: The Enterprise Standard for Agentic BPX, Once Reserved for Global Regulated Institutions, Now Available to Everyone From Fortune 500 enterprises to solopreneurs, Opus’s ...
Self-Supervised Learning with Adaptive Graph Modeling for EEG-Based Epileptic Seizure Classification
Abstract: Objective: Epileptic seizure classification using EEG signals remains a significant challenge due to complex spatial-temporal dependencies, limited labeled data, and severe class imbalance.
ABSTRACT: Accurate prediction of malaria incidence is indispensable in helping policy makers and decision makers intervene before the onset of an outbreak and potentially save lives. Various ...
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