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225 articles for “J. P. Singh”
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Research ArticleOpen accessIn the author namesPandemic Analysis and Preparedness Using a Three Layer Machine Learning ApproachArtika Singh, Manisha JailiaOutbreak analysis provides research-based information and data to enable scientific decision-making to manage an effective response to a pandemic. Pandemic analysis has its own set of challenges, such as limited data, the need for real time analysis, and the complexity of outbreak patterns. This study proposes a hybrid approach to manage such a spread through a 3-layer machine learning-based outbreak … …Journal of Computer Science, Vol. 22, Issue 11 · 15 Oct 2026 · 632 accessesView PDFCite
Research ArticleOpen accessIn the author namesIntrusion-Resistant Multi-Hop Communication Protocol for Secure Wireless Sensor NetworksRakesh Ranjan, Vaishali Singh, Hitendra SinghModern Internet of Things (IoT) systems are based on Wireless Sensor Networks (WSNs), which can be distributed to various environments to perform a range of sensing and data aggregation. Their intrinsic deficiencies in computation, energy, and bandwidth, however, make them very vulnerable to routing-layer attacks like black hole and selective forwarding as well as Sybil intrusion. The current studies on … …Journal of Computer Science, Vol. 22, Issue 6 · 1 Jul 2026 · 943 accessesView PDFCite
Research ArticleOpen accessIn the author namesIncorporation of Modified Region Growing into FCM Clustering for Extraction of Tumors in MR ImagesLovepreet Singh Brar, Jaget Singh, Bhawana Agrawal et al.Due to the tremendous growth of medical Magnetic Resonance (MR) images, it becomes an essential requirement for an automated extraction of diagnostically salient parts of the images to refine the transmission and storage process. Research method: This paper proposes an automated unsupervised machine learning segmentation technique named fuzzy c-means clustering based on modified region growing algorithm (RG-FCM) for the extraction … …Journal of Computer Science, Vol. 21, Issue 12 · 12 Feb 2026 · 1,484 accessesView PDFCite
Research ArticleOpen accessIn the author namesAssessing of Soil Compaction and Relations to Soil Fertility on Different Land Used in Bintulu, SarawakAizul Azfar Zulkeefli, Md. Suzauddula, Md. Rezaul Karim et al.Assessing land uses-induced changes in soil properties from natural forests to farmland are indispensable for addressing the complications in terms of agricultural landscape sustainability. A study was conducted in Rehabilitated Forest (RF), Oil Palm (OP), Secondary Forest (SF) and Rubber Plantation (RP) at University Putra Malaysia in order to examine the results of soil densification on soil characteristics and fertility … …American Journal of Applied Sciences, Vol. 17, Issue 1 · 11 Jan 2021 · 7,432 accessesView PDFCite
Research ArticleOpen accessIn the author namesLandslide Susceptibility Analysis Using Numerical and Neural Network, Near Kedarnath, Uttarakhand, IndiaVinay Kumar Singh, Tariq Anwar Ansari, Vikram Vishal, T.N. SinghThe major concern in hilly regions is the stability of those slopes, which have been proclaimed due to unplanned excavation and uneven blasting during road widening and development activity. These slopes again become more vulnerable under dynamic loading and/or various types of human involvement, heavy rainfall and seismic activity. Failure of these slopes leads to loss of property and human … …American Journal of Environmental Sciences, Vol. 16, Issue 1 · 9 Mar 2020 · 7,778 accessesView PDFCite
Review ArticleOpen accessIn the author namesA Comprehensive Review of Post-Quantum Cryptography AlgorithmsSamandeep Kaur, Jaswinder SinghThe development of quantum computing has been rapid, and an existential threat to computational hardness assumptions that underlie today's public-key cryptography has been encountered. This manuscript is a complete and thoroughly organized review of Post-Quantum Cryptography (PQC), discussing the mathematical concepts, complexity, and mechanisms of the algorithms that underpin quantum-safe security infrastructures. Rather than the principles of quantum mechanics, the … …Journal of Computer Science, Vol. 22, Issue 9 · 25 Sep 2026 · 730 accessesView PDFCite
Research ArticleOpen accessIn the author namesMulti-FOM: A Unified Multimodal Deep Learning Framework for Intelligent Pre-Harvest Papaya Classification and Crop ValorisationSovers Singh Bisht, Sanjeev Thakur, Sanjeev PanwarIntelligent pre-harvest crop assessment has become an essential component of precision agriculture, where accurate crop quality evaluation enables informed decision-making and sustainable crop management. However, existing multimodal frameworks often exhibit limited data diversity and insufficient cross-modal semantic interaction, reducing the reliability of intelligent crop valorisation. Address these limitations, this paper proposes a Multimodal Focal-Mamba Optimized Valorisation Model (Multi-FOM), a unified … …Journal of Computer Science, Vol. 22, Issue 9 · 24 Sep 2026 · 678 accessesView PDFCite
Research ArticleOpen accessIn the author namesOptimized Movie Recommendation Using Hybrid Jaccard-Based K-Means Clustering Using Apache SparkShiba Prasad Dash, Rajesh Kumar Sahoo, Ram Chandra Barik et al.The need for recommendations specific to each person's interests is growing every day, making recommendation systems increasingly important in people's lives. Researchers have paid close attention to the rapid expansion of e-commerce businesses and online video streaming services like Hotstar, YouTube, and Netflix. The collaborative filtering-based RS system aims to suggest such films or videos to users based on their … …Journal of Computer Science, Vol. 22, Issue 9 · 23 Sep 2026 · 613 accessesView PDFCite
Review ArticleOpen accessIn the author namesLeveraging Artificial Intelligence and Other 4IR Technologies for Driving Education 4.0 in South Africa: A Scoping StudyEmmanuel Adetiba et al.The advent of the fourth Industrial Revolution (4IR) has impacted human life across many disciplines including healthcare, agriculture, telecommunication, manufacturing, education etc. It is characterized by cyber physical systems thus enabling automation of processes, in which devices can autonomously communicate. Some of the technologies that drive 4IR include Artificial Intelligence (AI), Internet of Things (IoT), big data, drone technology, robotics … …Journal of Computer Science, Vol. 22, Issue 7 · 9 Jul 2026 · 1,685 accessesView PDFCite
Research ArticleOpen accessIn the author namesHybrid BiGRU-BiLSTM Model for Real-Time ECG Arrhythmia Detection Using Wearable SensorsPrem Narayan Singh, Rajendra Prasad MahapatraAccurate and real-time detection of cardiac arrhythmias is essential for timely medical intervention. Advances in wearable devices and deep learning have made it feasible to continuously monitor electrocardiogram (ECG) signals, facilitating early identification of abnormal heart rhythms. For arrhythmia detection, this study presents a hybrid deep learning architecture combining Bidirectional Gated Recurrent Units (Bi-GRU) and Bidirectional Long Short-Term Memory (Bi-LSTM). … …Journal of Computer Science, Vol. 22, Issue 5 · 5 Jun 2026 · 1,336 accessesView PDFCite