Items where Subject is "Intelligent Systems"
- VELS Subject Areas (8)
- Computer Applications (8)
- Intelligent Systems (8)
- Computer Applications (8)
Article
Prabhavathi, C. and Meera, S. (2025) Energy and trust-aware hybrid optimisation for RPL routing in mobile internet of things. International Journal of Wireless and Mobile Computing, 28 (3). pp. 273-288. ISSN 1741-1084
Raj. S, Stephen and P, Sripriya. (2021) Eye Drowsiness Tiredness Detection Based on Driver Experience Using Image Mining. International Journal of Electrical and Electronics Research, 9 (1). pp. 1-5. ISSN 2347-470X
Sumon, Md. Shaheenur Islam and Islam, Md. Sakib Bin and Rahman, Md. Sohanur and Hossain, Md. Sakib Abrar and Khandakar, Amith and Hasan, Anwarul and Murugappan, M. and Chowdhury, Muhammad E. H. (2025) CardioTabNet: a novel hybrid transformer model for heart disease prediction using tabular medical data. Health Information Science and Systems, 13 (1). ISSN 2047-2501
Book Section
Kumutha, K. and Jayalakshmi, S. (2022) Blockchain Technology and Academic Certificate Authenticity—A Review. In: Expert Clouds and Applications. Springer, pp. 321-334.
Conference or Workshop Item
Lakshmi, A. and Devi, R. (2022) Comparative Analysis of Multiclass Heart Disease Prediction Classification Models using Preprocessing and Feature Selection. In: 2022 Sixth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC), Dharan, Nepal.
Prakash, K. and Saradha, S. (2022) A Hybrid Approach for Prediction and Stage Wise Classification of Liver Failure. In: 2022 7th International Conference on Communication and Electronics Systems (ICCES), Coimbatore, India.
Selvadurai, M. and S, Perumal. (2025) Pre-Processing Irrelevant Information from Melanoma Infected Human Skin Images using Image Processing Techniques. In: 2025 6th International Conference on Intelligent Communication Technologies and Virtual Mobile Networks (ICICV), Tirunelveli, India.
Udayakumar, Puthiyavan and Anandan, R. (2024) Evaluation of Protocol-Centric IDS for the IoMT Leveraging ML Techniques. In: 2024 IEEE World AI IoT Congress (AIIoT), Seattle, WA, USA.