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38 articles for “resource-constrained settings”
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Review article on Quality Control in Clinical Trials
Abstract: Quality control (QC) is a critical component in the conduct of clinical trials, ensuring the accuracy, reliability, and credibility of data collected throughout the study. It encompasses a systematic set of procedures designed to monitor trial conduct and data integrity, thus safeguarding the rights, safety, and well-being of participants. This review explores the principles, implementation, and evolving practices of quality control in clinical trials, highlighting its importance across all phases …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 12, Issue 3, 2025 · pp. 01–07 Read article
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Polymer Composite-Enabled UAV Platform for Edge AI-Based Precision Agriculture: A System-Level Evaluation
Abstract: This study investigates the system-level role of commercially available polymer composite materials in enabling lightweight and energy-efficient unmanned aerial vehicle (UAV) platforms integrated with edge artificial intelligence for real-time agricultural monitoring. Rather than developing or experimentally characterizing new composite materials, the work evaluates fiber-reinforced polymer (FRP) composites and epoxy-based laminates as enabling structural components whose established properties support UAV performance in precision agriculture. Their high strength-to-weight ratio, corrosion resistance, and …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 · pp. 218–240 Read article
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Bayesian Optimization–Driven Operating Parameter Tuning for Maximizing Methane Yield in Anaerobic Digestion
Abstract: To achieve maximum methane production in an anaerobic digestion (AD) process, a combination of various operational parameters must be tuned nonlinearly in the digestion ecosystem. The conventional trial and error optimization methods are slow, resource consuming, and in most instances, cannot model the intricate parameter interaction in biogas production. The current work introduces a Bayesian Optimization-based model to optimize the set of conditions to maximize the level of methane produced …
Published in International Journal of Energy and Thermal Applications · Vol. 4, Issue 1, 2026 · pp. 1–8 Read article
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Optimal Design of Solar Roof Top Photovoltaic Plant Under Various Operating Conditions
Abstract: As conventional energy sources are quickly exhausted, the need to switch to sustainable alternatives has never been more urgent. The transition from conventional energy resources to renewable sources, particularly solar energy, has emerged as a pivotal step towards sustainable development This paper explores the advantages of solar power plants, with a focus on rooftop solar installations. Installing solar panels on a roof is revolutionizing the industry. The design phase of …
Published in International Journal of Photochemistry and Photochemical Research · Vol. 1, Issue 1, 2023 · pp. 35–45 Read article
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A Sustainable and Green Prototyping Framework for Low-carbon and Resource-efficient Virtual Product Development
Abstract: The increasing emphasis on sustainable manufacturing has intensified the need for environmentally responsible design and development methodologies for polymer and polymer-composite materials, where material selection, processing routes, and waste generation play a critical role in overall environmental impact. This paper presents a Sustainable and Green Prototyping (SGP) framework that integrates Virtual Prototyping (VP), Life Cycle Assessment (LCA), and multi-objective optimization to systematically reduce carbon footprint, energy consumption, and material waste …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 459–471 Read article
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TinyML-Based Real-Time Industrial Fault Detection Using Vibration Signals
Abstract: Industrial rotating machinery is commonly monitored through vibration measurements because changes in bearing condition can alter signal amplitude, impulsiveness, and spectral distribution. Cloud-centred analytics may introduce communication dependence, bandwidth demand, and response delay. Tiny Machine Learning (TinyML) offers a complementary approach by executing compact inference locally on resource-constrained edge hardware. This paper presents a reproducible, deployment-oriented workflow for vibration-based machine-state classification using statistical and spectral features with small classifiers suitable …
Published in Journal of Instrumentation Technology & Innovations · Vol. 16, Issue 3, 2026 Read article
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Understanding Sentiment Trends Through Zero-Shot and Few-Shot Learning Models
Abstract: The requirement for large, manually labeled datasets is one of the main barriers to applying sentiment analysis algorithms in specialized or rapidly evolving disciplines in the present natural language processing (NLP) landscape. This work investigates a paradigm shift from traditional fully supervised learning to data-efficient methods, specifically zero-shot learning (ZSL) and few-shot learning (FSL). This study uses the advanced capabilities of instruction-tuned large language models (LLMs), like GPT-4, to assess …
Published in International Journal of Computer Science Languages · Vol. 4, Issue 1, 2026 · pp. 01–08 Read article
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Memory Reclamation Behavior Under cgroups v2 Versus Legacy cgroups: A Measurement Framework for Containerized Workloads
Abstract: Linux control groups (cgroups) are the kernel mechanism that lets container runtimes such as Docker, containerd, and CRI-O enforce per-container CPU, memory, and I/O limits, and the transition from the legacy cgroups v1 hierarchy to the unified cgroups v2 hierarchy changed several aspects of how the memory controller signals and responds to reclaim pressure most notably through the introduction of memory.low/memory.high soft-limit semantics and system-wide Pressure Stall Information (PSI). Kernel …
Published in Recent Trends in Parallel Computing · Vol. 13, Issue 2, 2026 · pp. 27–34 Read article
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Regional Bioenergy Planning for Sustainability in Himachal Pradesh, India
Abstract: Energy systems in mountainous regions are complex due to the wide variations in the availability and demand of energy resources. Mountain inhabitants are traditionally dependent on bioenergy resources such as fuel wood, agro, and animal residues to meet their energy requirements for heating, cooking, etc. However, depleting forest resources limits the availability of fuel wood while commercial sources such as LPG and kerosene fail to meet the domestic energy demands …
Published in Journal of Energy, Environment & Carbon Credits · Vol. 2, Issue 1-3, 2012 · pp. 37–73 Read article
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Cybersecurity in Web Automation: A Machine Learning Approach to Lightweight Intrusion Detection
Abstract: Launch-Attack is a lightweight and practical threat-detection framework designed specifically for smaller web-automation environments, including setups that rely on tools such as Selenium. Rather than aiming to replace large enterprise-grade security platforms, the framework focuses on offering an accessible option for developers, testers, and researchers who need real-time monitoring without the heavy resource demands of traditional systems. The model relies on machine-learning techniques implemented through Scikit-learn, enabling it to detect …
Published in Journal of Web Engineering & Technology · Vol. 13, Issue 1, 2026 · pp. 34–40 Read article
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Women’s Land Tenure Security in Sustainable Development
Abstract: Appropriate land ownership policy is critical issue in order for vast majority of population living in rural areas whose income is dependent on agricultural. For that land tenure security is momentous concern. Land tenure is Latin word, tenure, which means to hold. Thus, land tenure means a kind of system of land ownership or holding the land. The rules of the land tenure system define how property rights to land …
Published in Journal of Production Research & Management · Vol. 9, Issue 1, 2019 · pp. 21–30 Read article
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IoT-enhanced Extensible Messaging Presence Protocol: A Multiple Multicast Architecture for Diverse Applications
Abstract: Extensible Messaging Presence Protocol (XMPP) is a real-time information transmission specification protocol based on IP technology and XML supporting publish/subscribe messaging systems. Publishers use multicast to send data simultaneously to multiple subscribers. IoT devices benefit enormously by using XMPP Extension Protocols (XEPs) available in the literature that enables using XMPP for multicast. Publishers are considering Multiple Multicast (MMC) to address subscriber overlap while sending messages to multiple subscribers simultaneously. This …
Published in Journal of Advances in Shell Programming · Vol. 10, Issue 2, 2023 · pp. 1–13 Read article
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Campus Connect: A Digital Solution for Academic and Event Management System
Abstract: This paper introduces campus connect a unified digital system developed to improve the Management and a and institutional events the platform is designed with adaptability in mind allowing it to function effectively across various educational settings such as schools colleges and universities its main aim is to provide a simple and accessible interface that enables all users regardless of technical expertise to interact with the system comfortably the platform allows …
Published in Current Trends in Information Technology · Vol. 16, Issue 2, 2025 · pp. 44–53 Read article
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A Study to Assess the Prevalence of Self-medication and Its Associated Factors Among Pregnant Women in Selected Tertiary Care Teaching Hospital at Kuppam, Chittoor District, Andhra Pradesh
Abstract: Self-medication, the practice of using medications without a doctor's prescription, is a growing global public health issue, particularly in resource-limited settings. In pregnancy, self-medication can pose serious risks, including misdiagnosis, incorrect dosages, drug interactions, and prolonged use. This study aimed to assess the prevalence of self-medication, and the factors associated with it among pregnant women at a tertiary care teaching hospital in Kuppam, Chittoor district, Andhra Pradesh. A descriptive cross-sectional …
Published in International Journal of Midwifery Nursing And Practices · Vol. 2, Issue 2, 2024 · pp. 41–48 Read article
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Solving Optimization Problems Using the Graphical Method of Linear Programming
Abstract: Linear programming is a mathematical optimization technique used for maximizing or minimizing a linear objective function while satisfying a set of linear constraints. This method plays a crucial role in various industries, including manufacturing, finance, transportation, and supply chain management. Among the different approaches to solving linear programming problems, the graphical method provides a simple and intuitive way to visualize and solve problems involving two decision variables. By plotting constraints …
Published in Research & Reviews : Journal of Statistics · Vol. 14, Issue 2, 2025 · pp. 01–08 Read article
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Mindfulness-Based Stress Reduction Techniques Among Healthcare Workers in South India: A Regional Analysis of Efficacy and Barriers
Abstract: Healthcare workers (HCWs) in India, particularly in resource-limited settings, face high levels of occupational stress, yet structured stress-reduction interventions remain underutilized. Mindfulness-Based Stress Reduction (MBSR) offers a potential solution, but implementation challenges persist. To assess the effectiveness of an 8-week MBSR programme in reducing stress and enhancing mindfulness among HCWs in South India, and to identify barriers to its successful implementation across urban and rural settings. A quasi-experimental study was …
Published in International Journal of Behavioral Sciences · Vol. 3, Issue 1, 2026 · pp. 99–103 Read article
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Internet of Things Connectivity Using Millimetre Wave: A Study
Abstract: Internet of Things(IoT) is undergoing rapid development, which is connecting millions of devices and causing sectors to undergo transformation. On the other hand, given this increase, the constraints of conventional wireless communication technologies are being stretched to their limits. Millimetre wave, often known as mmWave, is a high-frequency band that has the potential to revolutionise Internet of Things connectivity by providing much higher capacity levels and lower latency levels. Microwave …
Published in Journal of Microwave Engineering and Technologies · Vol. 12, Issue 2, 2025 · pp. 18–30 Read article
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Self-Supervised Learning for Early Disease Detection in Low-Label Medical Image Datasets
Abstract: Getting reliable labeled data for medical image analysis is genuinely difficult. Radiologists, pathologists, and other specialist clinicians are expensive, slow, and not universally available — particularly in low-resource clinical environments across developing nations. Unlike natural image benchmarks such as ImageNet, which provide millions of meticulously labeled training examples, most publicly accessible medical imaging repositories offer only a few hundred to a few thousand annotated scans. Supervised deep learning models trained …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 13, Issue 3, 2026 Read article