Department Of Computer Science And Information Technology 1

1. Exploring students’ perceptions of the design and use of the Moodle learning management system
2. PLATOS: A POWER AND LATENCY AWARE TASK ORIENTED SCHEDULING STRATEGY FOR HEALTHCARE IOT IN FOG COMPUTING
3. Data-driven evolutionary programming for evaluating the mechanical properties of concrete containing plastic waste
4. Toward sustainability: Integrating experimental study and data-driven modeling for eco-friendly paver blocks containing plastic waste
5. Fire detection using deep learning methods
6. Design and Evaluation of Arabic Handwritten Digit Recognition System Using Biologically Plausible Methods
7. Enhancing COVID-19 misinformation detection through novel attention mechanisms in NLP
8. Establishing the Asia & Pacific Bioinformatics Joint Congress: a historic milestone in regional bioinformatics collaboration
9. Anemia prevalence in women of reproductive age in low- and middle-income countries between 2000 and 2018
10. Control of Telecommunication Network Parameters under Conditions of Uncertainty of the Impact of Destabilizing Factors
11. Development of research capacity of a future social pedagogue in the face of digital technologies
12. Quality of interaction-based predictive model for support of online learning in pandemic situations
13. Incident-aware smart prioritization framework for penetration testing and prevention of URL-based cybersecurity attacks in industry 4.0 IoT networks
14. One Dimensional Conv-BiLSTMNetwork with AttentionMechanism for IoT Intrusion Detection
15. Effective detection of breast pathology using machine learning methods
16. Avoidance of cybersecurity threats with the deployment of a web-based blockchain-enabled cybersecurity awareness system
17. Design and Evaluation of a Low-Power Wide-Area Network (LPWAN)-Based Emergency Response System for Individuals with Special Needs in Smart Buildings
18. Anomaly detection in encrypted network traffic using self-supervised learning
19. Problems of Two-Phase Immiscible Liquids and Methods for Their Solution
20. An Edge-Computing-Based Integrated Framework for Network Traffic Analysis and Intrusion Detection to Enhance Cyber–Physical System Security in Industrial IoT
21. An Impact-Aware and Taxonomy-Driven Explainable Machine Learning Framework with Edge Computing for Security in Industrial IoT–Cyber Physical Systems
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