IIETA | Advancing the World of Information and Engineering

Enhancing Text Summarization with a T5 Model and Bayesian Optimization

Improving Cancer Classification Using Deep Reinforcement Learning with Convolutional LSTM Networks

Developed a Hybrid Bipolar Sigmoid-Recurrent Neural Network with Karush-Kuhn-Tucker-Arithmetic Optimization Algorithm to Predict the Heart Disease

Utilising Deep Convolutional Neural Networks for Classifying Fire Disasters Through Surveillance: An Indoor and Outdoor Perspective to Predict Man-Made or Natural Disaster

Smart Intrusion Detection in IoT Edge Computing Using Federated Learning

BBMA-MDS: Binary Biology Migration Algorithm for Multi-Document Text Summarization

Lexical Based Reordering Models for English to Telugu Machine Translation

Efficient Feature Selection Using CNN, VGG16 and PCA for Breast Cancer Ultrasound Detection

Class Attendance System Based on Face Recognition

Enhancing Anomaly-Based Intrusion Detection Systems: A Hybrid Approach Integrating Feature Selection and Bayesian Hyperparameter Optimization

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