7 results for “M. Rajeev Kumar”

Research ArticleOpen accessIn the author namesAn Explainable AI (XAI) Framework for Intrusion Detection and Identification to Secure IoT NetworksVibhor Harit, Rajeev Dahiya, Umang Garg, Anil KumarThe Internet of Things (IoT) encompasses a wide range of applications from wearable devices to smart homes, as well as industrial automation and smart cities. As IoT networks and devices continue to grow rapidly, security has become crucial. There are many techniques utilized to provide security aspects in IoT networks. These security aspects focus on mitigating risks and fixing vulnerabilities … …Journal of Computer Science, Vol. 22, Issue 7 · 23 Jul 2026 · 1,005 accessesView PDF Cite

Research ArticleOpen accessIn the author namesEnhancing Sentiment Analysis for Malayalam With mBERT: A Profoundly Transparent and Accurate Approach Using LIMEAnitha R., K. S. Anil Kumar, Rajeev R. R. et al.The overlapping sentiment boundaries, intensifiers, and intricate morphological structures in Malayalam present particular difficulties for sentiment analysis, making it hard for traditional machine learning techniques to produce consistent results. We present an explainable sentiment analysis framework in this paper that refines a Multilingual Bidirectional Encoder Representations from Transformers (mBERT) model on a novel constituency-level dataset that has been manually curated … …Journal of Computer Science, Vol. 22, Issue 5 · 2 Jun 2026 · 1,061 accessesView PDF Cite

Research ArticleOpen accessIn the author namesSecuring Web Applications through a Framework of Source Code AnalysisAlka Agrawal, Mamdouh Alenezi, Rajeev Kumar, Raees Ahmad KhanSource code analysis is becoming extremely important for the universal acceptance of web applications because the automated source code analysis tools play a key role in identifying and fixing security-related vulnerabilities. This paper proposes a framework for securing web applications through source code analysis. The framework has three prescriptive phases including executing and monitoring, classifying and controlling and refining and … …Journal of Computer Science, Vol. 15, Issue 12 · 25 Dec 2019 · 7,884 accessesView PDF Cite

Research ArticleOpen accessIn the author namesNON-COOPERATIVE IRIS RECOGNITION: A NOVEL APPROACH FOR SEGMENTATION AND FAKE IDENTIFICATIONM. Rajeev Kumar, M. Dilsath Fathima, K. Kiruthika, M. S. SaravananIris recognition, the ability to recognize and distinguish individuals by their pattern, is the most reliable biometric in terms of recognition and identification performance. However, performance of these systems is affected by the heterogeneous images (regarding focus, contrast, or brightness) and with several noise factors (iris obstruction and reflection) when the cooperation is not expectable from the subject. Current Iris … …Journal of Computer Science, Vol. 9, Issue 9 · 6 Aug 2013 · 6,744 accessesView PDF Cite

Research ArticleOpen accessIn the author namesECONOMIC AND PERFORMANCE EVALUATION OF STOCHASTIC MODEL ON A BASE TRANSCEIVER SYSTEM CONSIDERING VARIOUS OPERATIONAL MODES AND CATASTROPHIC FAILURESRajeev Kumar, Sunny KapoorIn this study a stochastic model for a Base Transceiver System (BTS) is proposed that consists of various hardware and software components. A Base Transceiver System (BTS) may undergoes four modes during its operation viz normal, congestion, down and failure mode. The hardware and software components may have various types of major and minor faults. The occurrence of a minor … …Journal of Mathematics and Statistics, Vol. 9, Issue 3 · 22 Jul 2013 · 7,075 accessesView PDF Cite