Integrating COBIT 2019 with Zero Trust Architecture: A Strategic Approach to GRC in Cybersecurity

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Machine and Deep Learning Approaches for Alzheimer's Disease Classification with EEG Signals and MRI Images

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Quantifying the Impact of Data Quality on Deep Learning Models

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A Review on Network Intrusion detection systems based on Machine Learning, Deep Learning and Blockchain for IoT-based healthcare systems

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Scalable Hybrid Deep Learning-Based Architecture for Glaucomatous and Healthy Eye Classification in Retinal Fundus Images

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AI-driven Physics Informed Neural Network for Daily Temperature Forecasting with Constraint Aware Learning and Explainable Feature Attribution

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A Novel Approach toward Windspeed Forecasting using an Advanced Deep Learning Framework with Explainable AI

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Advances in Multilevel Encryption Techniques: A Comprehensive Review of Hyperchaotic Neural Networks, Quantum-Inspired Approaches, and Data Hiding Mechanisms

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An Explainable Deep Learning Framework for Automated Classification of Ocular Diseases in a Big Data Environment

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Sentiment-Aware Summary Generation for User Reviews Using Deep Learning Models

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A Comparative Study of Object-Oriented, Procedural, and Functional Programming Paradigms in Microservice Architecture

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A Supervised Intrusion Detection System Leveraging Machine Learning for Secure Smart Education in the Internet of Education (IoEd)

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Powering Tomorrow Safely: Handling IoT Cybersecurity Issues and Ethical Energy Systems Environments

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Role of IoT in Disaster Monitoring and Response: A Comprehensive Review

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Emojis Segmentation from WhatsApp Chat Messages Using K-Means Clustering Technique for Students Sentiment Analysis

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A DeepSpeech2-Inspired Convolutional Recurrent Framework for Low-Resource Urdu Speech Recognition

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Research Trends on Sentiment Analysis and Imbalanced Data Handling in Fake Review Detection: A Systematic Literature Review

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Designing Intelligent Software Systems for Early Detection of Chronic Mycobacterial Lung Disease

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