Research ArticleOpen accessIn the author namesDelay-Conscious Service Quality Constraint in IoT Sensor Networks for Smart FarmingZatin Gupta, Amit Kumar BindalThe Internet of Things (IoT) offers different services for the agriculture industry, such as monitoring and analysing real-time data related to current weather conditions, water level, irrigation requirements, growth of plant disease and health status/temperature/humidity, etc.,). The performance of IoT networks may vary due to environmental conditions and operational areas (rural area/urban area/underwater). These constraints may degrade the transmission quality … …Journal of Computer Science, Vol. 19, Issue 8 · 9 Aug 2023 · 5,385 accessesView PDFCite
Research ArticleOpen accessIn the author namesApplications of Artificial Intelligence Based Technologies in Weed and Pest DetectionNidhi Gupta, Bharat Gupta et al.Unprecedented population growth and climate change has burdened food security and scarcity worldwide, where the agriculture sector can significantly contribute to accomplishing the demands and contribute to the economic growth of a country. Artificial Intelligence (AI) has revolutionized the agricultural domain. Pest and weed detection is significant to yielding good quality crops. The AI-based tools and technologies such as drones … …Journal of Computer Science, Vol. 18, Issue 6 · 2 Jul 2022 · 7,410 accessesView PDFCite
Research ArticleOpen accessIn the author namesRIA-ViT: A Residual Inception Atrous Vision Transformer for Detection of Gallbladder Cancer from CT ImagesAbhishek Sehrawat, Anita Gupta, Vishnupriya, Varun P. GopiGallbladder Cancer (GBC) is a rare but highly aggressive malignancy of the biliary system. In early-stage gallbladder cancer, there are neither overt symptoms nor specific signs. In most patients, it is diagnosed late, resulting in poor outcomes. Even when imaging is available, diagnosing GBC remains difficult because its features overlap with those of non-neoplastic gallbladder pathologies. Furthermore, the overlap between … …Journal of Computer Science, Vol. 22, Issue 10 · 6 Oct 2026 · 413 accessesView PDFCite
Research ArticleOpen accessIn the author namesEmpowering Small Language Models With Chain of Thought and Parameter Efficient Fine Tuning for Efficient Deep ReasoningAryan Raina, Shiwani Gupta, Jagruti Jadhav et al.Small Language Models (SLMs) run faster and fit on modest hardware, yet solving multi-step logic problems has traditionally been difficult for them. This work investigates a systematic, multi-model framework that combines Chain-of-Thought (CoT) prompting with Low-Rank Adaptation (LoRA) parameter-efficient fine-tuning, and measures the contribution of each component independently. We evaluate three SLMs (TinyLlama-1.1B, Phi-3-mini-4k-instruct, and Qwen2.5-1.5B) using 1,164 training samples … …Journal of Computer Science, Vol. 22, Issue 8 · 8 Sep 2026 · 862 accessesView PDFCite
Case ReportOpen accessIn the author namesBeyond Occam’s Razor: Diffuse Large B-Cell Lymphoma With Concurrent Acid-Fast Bacilli Positivity–A Case ReportOm Sharma, Shaurya Gupta, Prasan Kumar PandaIn tuberculosis-endemic regions, necrotizing lymphadenitis with Acid-Fast Bacilli (AFB) is often presumed to indicate tuberculous etiology, but this assumption may lead to misdiagnosis when immunophenotypic evaluation is not performed. In this report, we present the case of an immunocompetent elderly man who presented with prolonged high-grade fever, progressive abdominal distension, and stable cervical and submandibular lymphadenopathy. He had been empirically … …American Journal of Infectious Diseases, Vol. 22, Issue 1 · 24 Jul 2026 · 1,236 accessesView PDFCite
Research ArticleOpen accessIn the author namesA Detailed Preserving Medical Image Denoising Using Cluster-Wise PCA Thresholding and Iterative Mean FilteringMohit Sharma, Ayush Dogra, Anita Gupta et al.Image denoising is a vital process in medical imaging that involves removing noise or distortions introduced during image acquisition. Random noise can degrade image quality and reduce contrast, making accurate analysis more challenging. This paper presents a detail-preserving medical image denoising framework based on a hybrid methodology that combines cluster-wise Principal Component Analysis (PCA) thresholding with Iterative Mean Filtering (IMF). … …Journal of Computer Science, Vol. 22, Issue 4 · 18 Apr 2026 · 1,787 accessesView PDFCite
Research ArticleOpen accessIn the author namesA Comprehensive Review of Medical Image Denoising: Techniques, Challenges, Applications and Future DirectionsMohit Sharma, Ayush Dogra, Anita Gupta et al.The concept of noise reduction in medical images plays a vital role in improving image quality and accuracy associated with diagnosis, and facilitating reliable automated analysis. This survey presents a structured overview of medical image denoising, beginning with foundational definitions and noise models for modalities such as MRI and CT. We critically evaluate persistent gaps, including the limited generalizability of … …Journal of Computer Science, Vol. 22, Issue 3 · 28 Mar 2026 · 1,849 accessesView PDFCite
Research ArticleOpen accessIn the author namesEnhancing Social Media Face Emotion Recognition Using a Fuzzy ELM ApproachShuchi Gupta, K. Viswanath, S. Gokul Pran et al.Our computational tools for searching, exploring, and sharing personal photographs are falling behind the rapid pace at which these images are being captured digitally. The use of automatic face recognition to categorize images according to the people in them is one potential solution. Accurate recognition on the Internet scale, however, presents the seemingly insurmountable challenge of picking out specific people … …Journal of Computer Science, Vol. 22, Issue 3 · 20 Mar 2026 · 1,978 accessesView PDFCite
Research ArticleOpen accessIn the author namesEvaluating Online Learning in India: Insights from StudentsRitu Gupta, Anuradha Khattar, Meetu Bhatia Grover et al.As technology has advanced, the educational system has undergone numerous modifications. The benefits of online teaching and learning include increased accessibility, reduced costs, and the opportunity to learn at any time and from any location. However, a few drawbacks of this approach include a decline in student involvement, a lack of face-to-face interaction with classmates and teachers, and technical difficulties. … …Journal of Computer Science, Vol. 22, Issue 1 · 10 Feb 2026 · 1,595 accessesView PDFCite