ISSN: 2994-7391
Editor: Rajkumar Rajasekaran

| Pages | Title and author(s) |
|---|---|
| 157-165 | Integrating Adaptive Trust-Driven Metaheuristic Clustering with Energy-Aware Decision Intelligence for Resilient Wireless Sensor Networks Amsaveni Manigandan, M. Saranya Keywords: Wireless Sensor Networks (WSN); Network Resilience; Adaptive Trust; Metaheuristic Clustering; Energy-Aware; Decision Intelligence; Adversarial Conditions; Trust Models. DOI: 10.69888/FTSCS.2025.000474 |
| 166-175 | Analysing Security and Privacy Threats in Next-Generation IoT Systems: A Review of Emerging Challenges and Mitigation Approaches Dhina Suresh, M. Karthikeyan, V. Kalpana Keywords: Next-Generation IoT; Smart Devices; Edge Computing; Artificial Intelligence; IoT Architecture; Security Mechanisms; Smart Cities; Industrial IoT; Machine Learning. DOI: 10.69888/FTSCS.2025.000475 |
| 176-191 | Hybrid Feature Selection Model with BH-XGBoost for Predicting the Drive Sleepiness in Naturalistic Road Driving Condition C. N. Sangeetha, K. Vinoth Kumar, M. Arunadevi Thirumalraj, S. Venkatasubramanian, Jouma Ali Al-Mohamad Keywords: Karolinska Sleepiness Scale; Driver Fatigue; Chicken Swarm Optimization; Battle Royale Optimization; Bayesian Hyperparameter Optimization; Elite Random Guidance; Gaussian Time Domain Network. DOI: 10.69888/FTSCS.2025.000476 |
| 192-202 | Semantic and Structural Optimization of Resumes via LLMs for Improved ATS Matching Ojas M. Agarwal, Devi Karuppiah, Lekshmi Kalinathan, Benila Sathianesan, Monish Sudhagar, Vikram Ramkumar, Advaith T. Ajith Keywords: Large Language Model (LLM); Applicant Tracking System (ATS); AI Resume Generation; Semantic Alignment; Job Description Matching; ATS Algorithms; Technological Advancement. DOI: 10.69888/FTSCS.2025.000477 |
| 203-214 | Chinese and Iran Stock Market Analysis Using DPO-Based Gated-Recurrent with Long-Short Term Memory B. Gunapriya, M. Arunadevi Thirumalraj, B. Manjunatha, S. Gopikha, Robert Balku Keywords: Vector Autoregressive; Moving Average; Long Memory; Gated Recurrent Unit; Doctor and Patient Optimisation; Stock Prediction; Non-Linear Nature; LSTM Neural Networks. DOI: 10.69888/FTSCS.2025.000478 |