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Author

Susheel George Joseph

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Open access Sep 2026

A Hybrid Deep Learning Model for Early Prediction of Student Academic Performance in Higher Education

Early identification of students who may experience academic difficulty can support timely, targeted intervention in higher education. This study evaluates a hybrid prediction framework that combines a support vector machine (SVM) with a polynomial kernel, a long short-term memory (LSTM) component with two hidden units...

Aby Rose Varghese, Susheel George Joseph · 0 citations
Open access Sep 2026

A Deep Learning-Based Computer Vision Model for Real-Time Face Mask Detection

Automated monitoring can support mask-compliance screening in environments where continuous manual observation is challenging. This paper presents a computer-vision framework that combines a lightweight, MobileNet-based feature extractor with residual learning, integrated alongside compliance logging and an edge-deploy...

S. Koshy, Susheel George Joseph · 0 citations
Open access Sep 2026

IoT-Enabled Smart Waste Management System Using Computer Vision for Automated Waste Segregation

Efficient waste management is a critical requirement for sustainable urban development. This paper presents an IoT-enabled smart waste management framework that integrates computer vision techniques for automated waste segregation. Waste images are classified into biodegradable, recyclable, and hazardous categories usi...

Tintu Varghese, Susheel George Joseph · 0 citations
Open access Sep 2026

An Adaptive Deep Learning Framework for Energy-Efficient Anomaly Detection in IoT Sensor Networks

An adaptive deep learning framework for anomaly detection in IoT sensor data to identify faults, intrusions, and abnormal patterns in real time is proposed, using an Autoencoder-based deep neural network that dynamically learns normal behavioral patterns and adapts to evolving data distributions.

Gigi Joseph, Susheel George Joseph · 0 citations

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