Research ArticleOpen accessIn the author namesIntelligent Multi Model Ensemble for Engagement PredictionFahmida Begum, K Ulaga PriyaFor intelligent educational systems, the ability to monitor and respond to student engagement in real time is essential for enhancing learning outcomes. However, existing models often lack adaptability and practical deployment potential, as they depend on single data modalities, rigid ensemble mechanisms, and post-session analysis. This study introduces an intelligent multimodal ensemble framework designed to address these challenges by predicting … …Journal of Computer Science, Vol. 22, Issue 4 · 28 Apr 2026 · 1,844 accessesView PDFCite
Research ArticleOpen accessIn the author namesDeep Learning Synergy: CNNs and Transformers for Epidemic Outbreak ForecastingAlexander R., Shakthi Priya V., Sumathi G. et al.An Accurate prediction of outbreaks is extremely crucial for taking proactive public health interventions, distributing limited resources, and controlling a disease. This paper assesses and also compares the performances of the available deep learning models, namely, Convolutional Neural Network (CNN), Long Short-Term Memory (LSTM) networks, and Bidirectional Long Short-Term Memory (BiLSTM) networks, in predicting. CNNs are best for feature extraction … …Journal of Computer Science, Vol. 21, Issue 12 · 23 Jan 2026 · 2,113 accessesView PDFCite
Research ArticleOpen accessIn the author namesFace Log Creation from Low-Light CCTV VideosSomasundaram Sony Priya, Rajasekharan Indra MinuIn today’s rapidly evolving technological landscape, surveillance systems have become critical for security and operational management. Extracting accurate facial data from low-light CCTV footage remains a significant challenge due to limited visibility. This research presents a comprehensive methodology to address the complexities of face detection, recognition and timestamp extraction in low-light environments. Our approach focuses on creating detailed face logs … …Journal of Computer Science, Vol. 21, Issue 3 · 25 Feb 2025 · 7,191 accessesView PDFCite
Research ArticleOpen accessIn the author namesPeriodic Service Behavior Strain Analysis-Based Intrusion Detection in CloudS. Priya, R. S. PonmagalThe problem of intrusion detection in cloud environments has been well studied. The presence of adversaries would challenge data security in the cloud by generating intrusion attacks towards the cloud data and should be mitigated for the development of the cloud environment. In mitigating intrusion attacks, there exist several techniques in the literature. The method uses different features like frequency … …Journal of Computer Science, Vol. 20, Issue 2 · 28 Dec 2023 · 5,082 accessesView PDFCite
Research ArticleOpen accessIn the author namesAdaptive Synthetic Oversampling Algorithm for Handling Class Imbalance in Multi-Class Data Stream ClassificationPriya S., Annie UthraConcept drift and class imbalanced data are major challenging processes involved in modern streaming data classification. Particularly, when integrated with difficult factors like the existence of noise, overlapping class distribution, concept drift, and data imbalance can considerably affect the classifier results. In addition, various challenges affect the performance of the existing oversampling schemes such as SMOTE and its derivatives. Regardless … …Journal of Computer Science, Vol. 18, Issue 7 · 26 Jul 2022 · 5,809 accessesView PDFCite
Research ArticleOpen accessIn the author namesSelective Susceptibility of Human Bladder Transitional Cell Carcinoma T24 Cells towards NBD PeptideSankari Durairajan, Charles Emmanuel Jebaraj Walter, Kalaiselvi Periyandavan et al.Bladder cancer is a recurrent disease that often develops chemoresistance and is on the rise in developing countries. After diagnosis surgery followed by immunotherapy and/or chemo- radiation therapy are the available treatments. These treatments do not provide protection against disease progression or recurrence thus highlighting the need to identify and develop drugs that are capable of inhibiting bladder cancer. T24 … …American Journal of Biochemistry and Biotechnology, Vol. 16, Issue 2 · 20 Apr 2020 · 7,787 accessesView PDFCite
Research ArticleOpen accessIn the author namesThe Effect of Packet Redundancy Elimination Technique in Sensor NetworksDeepa Priya, Sharmini EnochA lot of sensor nodes which are able to sense, process and communicate with external base station with the data obtained from external environment belong to a class of adhoc networks called wireless sensor networks. The main challenge in sensor network is to increase the life time of the network thereby reducing duplicate by detecting the redundant information. While the … …Journal of Computer Science, Vol. 14, Issue 6 · 25 Feb 2018 · 7,878 accessesView PDFCite