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Research ArticleOpen accessIn the abstractA Comparative Computational Efficiency Analysis of LSB and Hybrid Steganographic MethodsDivya Sharma, Chander PrabhaElectronic Medical Images (EMI) are of various types such as X-rays, CT scans, MRIs, etc. EMIs are generally large, but they vary in dimensions and sizes based on the body part to which they belong. Not much research has been done to secure EMIs due to their varied and large sizes, while ensuring their accessibility for real-time transmission. Where access … …Journal of Computer Science, Vol. 21, Issue 10 · 28 Nov 2025 · 2,466 accessesView PDFCite
Research ArticleOpen accessIn the abstractError Identification and Mitigation Analysis Method Using HFACS on VR HMDNkingo June Thomas, Yan SuHuman error has long been recognized as a key factor influencing safety, performance, and efficiency in complex tasks, including those involving advanced technologies. In the context of Virtual Reality (VR) Head-Mounted Displays (HMDs), which are increasingly applied in fields such as aviation maintenance, the presence of human errors can compromise both user experience and operational reliability. This paper presents a … …Journal of Aircraft and Spacecraft Technology, Vol. 9, Issue 1 · 24 Nov 2025 · 2,944 accessesView PDFCite
Research ArticleOpen accessIn the abstractActive Reset and Scheduling in Fault-Tolerant Quantum-Classical Cloud ComputingMohamed El-DosukyQuantum-classical cloud computing refers to a hybrid computing model that integrates quantum computing with classical computing resources, typically hosted on the cloud. The objective of this paper is threefold: First, to scrutinize the computing paradigm of quantum-classical cloud computing; second, to study the three pillars of the underpinning techniques: Active reset, scheduling, and fault tolerance; third, to demonstrate the realization … …Journal of Computer Science, Vol. 22, Issue 7 · 1 Sep 2026 · 775 accessesView PDFCite
Research ArticleOpen accessIn the abstractPredictive Analytics and Procurement Visibility: A Big-Data-Driven Approach to Customer Satisfaction in Supply Chain ManagementDevendra Nath Pathak, Rakesh Kumar Yadav, Hitendra SinghIn the current dynamic and consumer driven market environment, supply chains need to move out of reactive to the proactive ecosystems. One of the most urgent requirements is increasing procurement visibility and the development of better order planning for the inventory to meet the products’ demand with continued high customer satisfaction. This paper is an agenda of big-data-driven predictive analytics … …Journal of Computer Science, Vol. 22, Issue 1 · 3 Feb 2026 · 2,453 accessesView PDFCite
Research ArticleOpen accessIn the abstractMinimising Energy Consumption in WSN-IoT Networks by Focusing on Quality of ServiceAnuradha, Tarun Gulati, Rajbhupinder Kaur et al.IoT networks are low-powered networks and resource allocation and efficient utilization are critical concerns. Network resources are allocated to the intermediate nodes to perform the various operations (sense, transmit, re-transmit, data aggregation, etc.). These operations are managed by the different layers (M.A.C., routing and PHY). Each layer consumes resources W.R.T. their operations and there is a need to manage the … …Journal of Computer Science, Vol. 20, Issue 10 · 13 Aug 2024 · 4,984 accessesView PDFCite
Research ArticleOpen accessIn the abstractIoT-Based Technology Solution for Monitoring Small Breed Cardiac Dogs with Heart DiseaseJeremias Evangelista, Carlos Izarra, José Luis Castillo-Sequera, Lenis WongCaring for geriatric small-breed dogs with heart disease from home is a challenge due to the lack of technological tools available in the market, specifically in South America. This lack limits the quality of life of these canine companions and hinders early detection of cardiac problems. Heart disease is common in geriatric dogs of small and medium breeds and the … …Journal of Computer Science, Vol. 20, Issue 10 · 22 Jul 2024 · 5,469 accessesView PDFCite
Research ArticleOpen accessIn the abstractFlock Optimization Algorithm-Based Deep Learning Model for Diabetic Disease Detection ImprovementDivager Balasubramaniyan, Nor Azura Husin, Norwati Mustapha et al.Worldwide, 422 million people suffer from diabetic disease, and 1.5 million die yearly. Diabetes is a threat to people who still fail to cure or maintain it, so it is challenging to predict this disease accurately. The existing systems face data over-fitting issues, convergence problems, non-converging optimization complex predictions, and latent and predominant feature extraction. These issues affect the system's … …Journal of Computer Science, Vol. 20, Issue 2 · 8 Jan 2024 · 5,216 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Study on Factors Influencing MBA Decision After Bachelor’s Using Hybrid Model Combining ANN With Principal Component AnalysisKittipol Wisaeng, Benchalak MuangmeesriThis study comprehensively examines the complex relationship between various individual characteristics and individuals’ expectations after obtaining a bachelor’s degree, particularly in determining whether to pursue a Master of Business Administration (MBA). Utilizing a well structured, hypothesized framework, we examine several key variables directly influencing this critical decision-making process. The examined variables include, but are not limited to, demographic information, academic … …Journal of Computer Science, Vol. 21, Issue 9 · 13 Oct 2025 · 2,247 accessesView PDFCite
Research ArticleOpen accessIn the abstractDynamic Relationship Between Rupee-Dollar Exchange Rate and Major Economic IndicatorsAbhinandan Kulal, Deepak Kallige Vishwanath, Sanath Kumar KanthilaIt is very likely that dollar to rupee exchange rate has an influence on the major economic indicators of India like the GDP of India, the NIFTY 50 index, gold prices in India, import prices in India, and crude oil prices in India. The quarterly time series data of the seven variables have been used. The time considered for the … …American Journal of Economics and Business Administration, Vol. 15, Issue 1 · 17 Aug 2023 · 6,454 accessesView PDFCite
Research ArticleOpen accessIn the abstractAnalyzing Effect on Residual Learning by Gradual Narrowing Fully-Connected Layer Width and Implementing Inception Block in Convolution LayerSaurabh SharmaResearch conducted on the advancement of CNN architecture for computer vision problems focuses on strategically choosing and modifying convolution hyperparameters (kernel, pooling, etc.). However, these research works don't exploit the advantage of employing multi fully-connected layers post the core schema to avail further performance improvements, which have been identified as the first research gap. Studies were also conducted to address … …Journal of Computer Science, Vol. 18, Issue 5 · 24 May 2022 · 6,051 accessesView PDFCite