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166 articles for “resource-limited systems”
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IoT-Enabled Sustainable Development: Architectures, Applications, Challenges, and Future Directions
Abstract: The Internet of Things (IoT) has developed into a powerful technology that can help tackle key global sustainability issues by enabling real-time monitoring, supporting data-based decisions, and facilitating smart automation. By interconnecting physical devices, sensors, and communication networks, IoT enables continuous data collection and analysis that supports efficient resource utilization across multiple sectors such as energy, agriculture, water management, transportation, and urban infrastructure. Through smart sensing and automated control systems, …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 13, Issue 2, 2026 Read article
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Microneedles: An Innovative Drug Delivery System
Abstract: Microneedles represent a groundbreaking innovation in drug delivery systems, offering a transformative alternative to conventional hypodermic needles and transdermal patches. This advanced technology combines the precision and efficacy of needle-based delivery with the convenience and pain-free nature of patches, creating a minimally invasive platform that addresses many limitations of traditional drug administration. Microneedles are designed to penetrate the stratum corneum – the skin’s outermost layer – without reaching pain-sensitive nerves …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 12, Issue 2, 2025 · pp. 60–67 Read article
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Design and Optimization of Domain-Specific Languages for High-Performance Computing Applications
Abstract: The accelerating demand for computational power in scientific, engineering, and data-intensive domains has driven High-Performance Computing (HPC) systems toward unprecedented levels of parallelism and architectural complexity. Contemporary HPC platforms integrate multicore CPUs, many-core GPUs, accelerators, and deep memory hierarchies, creating significant challenges for software development and performance optimization. Traditional general-purpose programming languages and parallel programming frameworks provide low-level control over hardware resources but require extensive manual tuning, resulting in poor …
Published in Recent Trends in Parallel Computing · Vol. 13, Issue 1, 2026 Read article
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Optimization of Biohybrid Polymer Synthesis Using Fuzzy Inference Systems
Abstract: This investigation proposes a methodology to optimize biohybrid polymer synthesis using fuzzy inference systems (FIS). The study combines fuzzy logic principles with mathematical calculations for finding the best synthesis parameters to enhance the synthesis quality. This study consists on a sample about the use of FIS on optimisation of polymer synthesis, where they show the process of fuzzification, rule base creation, inference mechanism and defuzzification using the centroid method through …
Published in Journal of Polymer & Composites · Vol. 12, Issue 5, 2024 · pp. 36–47 Read article
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Assessment of Agricultural Potentials and Constraints of Natural Resources Management for Research Implementation in Gedeo Zone South Ethiopia Region
Abstract: This study aimed at assessing agricultural potentials and constraints of natural resources management for research implementation in Gedeo zone south Ethiopia Region. The result indicates that the use of organic and inorganic fertilizers was not efficient and the crop yield was decreasing from year to year. Use of organic fertilizer is for only high value crops of enset and coffee without determined rate. Farmers were not practiced organic fertilizers like …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 15, Issue 2, 2026 · pp. 82–93 Read article
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Strategy for Improving Software Maintenance Using Machine Learning for Security Requirements: A Review
Abstract: Within the area of software technical education, the significance of software defect discovery has increased as a research focus to enhance program reliability. By maximizing testing resources and assisting developers in identifying potential problems using program defect predictions, program dependability is increased. Applying software engineering (SE) techniques to critical and intricate systems, like networking and security systems, is imperative. Traditional methods of predicting software maintainability have limitations, particularly in balancing …
Published in International Journal of Information Security Engineering · Vol. 2, Issue 2, 2024 · pp. 36–48 Read article
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Kenaf Reinforced Polyamide Composite Materials: A Systematic Review
Abstract: Sustainable development has become the global target to prevent exploitation and degradation of our environment in the pursuit for industrial growth. Almost all sectors including engineering, dental, medical, aerospace, etc use synthetic polymers in daily basis. The growing need for sustainable natural alternatives has encouraged research on natural fibres reinforced polymers like kenaf reinforced polyamide composites. Comprehensive evaluation of existing studies is crucial to understand the scope in this field …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 158–169 Read article
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Integrating Genetic Algorithms with Lean Manufacturing for Enhanced Production Efficiency
Abstract: Lean manufacturing is a well-established philosophy focusing on the systematic reduction of waste and the ongoing development of value supplied to the customer. It emphasizes efficiency, quality, and adaptability through ideas such as just-in-time production, continuous improvement (Kaizen), and value stream optimization. However, the increased complexity of modern production systems, driven by global rivalry, product variety, and rapid technology innovation, has shown the limitations of classic lean tools in achieving …
Published in Journal of Production Research & Management · Vol. 15, Issue 3, 2025 · pp. 38–43 Read article
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Multimodal Disease Detection Using Deep Learning
Abstract: Artificial Intelligence (AI) is playing an increasingly pivotal role in modern healthcare, particularly in improving the speed and accuracy of disease detection. With the evolution of Machine Learning (ML), Deep Learning (DL), and high-performance computing, AI-based solutions are now capable of processing extensive medical datasets, ranging from patient records to diagnostic images, with remarkable efficiency. These systems offer immense potential for early intervention, improved clinical decision-making, and alleviating pressure on …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 2, 2025 · pp. 129–139 Read article
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A Study on High-Risk Pregnancy and Its Management: Role of Obstetric Nurses in Improving Maternal and Fetal Outcomes
Abstract: High-risk pregnancy is a major challenge in maternal and neonatal healthcare and is associated with increased morbidity and mortality among mothers and new-borns, particularly in developing regions where access to quality healthcare services remains uneven, this article examines the concept, classification, risk factors, pathophysiology, and management of high-risk pregnancy with a strong focus on the role of obstetric nurses in improving maternal and fetal outcomes, obstetric nurses play a central …
Published in International Journal of Midwifery Nursing And Practices · Vol. 4, Issue 1, 2026 · pp. 26–43 Read article
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Explainable Artificial Intelligence in Personalized Medicine: Emerging Clinical Perspectives
Abstract: The convergence of artificial intelligence (AI) and precision medicine has transformed contemporary healthcare by enabling data-driven clinical decision-making, individualized therapeutic interventions, and predictive diagnostics. However, despite remarkable advances in machine learning (ML) and deep learning (DL), the widespread adoption of AI in healthcare remains constrained by the “black-box” nature of many computational systems. Clinicians, regulatory agencies, and patients increasingly demand transparency, interpretability, and trustworthiness in AI-guided medical recommendations. Explainable Artificial …
Published in Emerging Trends in Personalized Medicines · Vol. 3, Issue 2, 2026 · pp. 13–29 Read article
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Exploring the Bourne Again Shell (Bash)
Abstract: The Bourne Again Shell (Bash) is a popular command-line interpreter and scripting language, created as a free software alternative to the original Bourne Shell (sh). Developed as part of the GNU Project, Bash extends the functionality of its predecessor by incorporating features from the C Shell (csh) and KornShell (ksh), making it more versatile and powerful. Bash offers robust command-line editing, job control, and support for functions and variables, enabling …
Published in Journal of Advances in Shell Programming · Vol. 12, Issue 1, 2025 · pp. 01–09 Read article
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Exploring the viability of DIY mobile robots, a technical and economic perspective.
Abstract: This article is intended for on ramping of novices in mobile robotics and shine a new light on feasibility of home-brew robots. Readers are expected to use this resource as a take-off point from which they will get to know where to look and to what extent, along with some of our own recommendations. The topics covered include but not limited to, hardware selection, firmware programming, feedback control, system design, …
Published in Trends in Mechanical Engineering & Technology · Vol. 16, Issue 2, 2026 Read article
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Horizon Scanning and Early Assessment of Health Technologies for the Treatment of Orphan Diseases
Abstract: The theoretical foundations and regulatory framework of the processes of the formation of an effective health technology assessment (HTA) system at the early stages of the life cycle of medicines are analyzed in the article. Particular attention is paid to horizon scanning (HS) and early assessment of expensive innovative drugs utilized for treating rare diseases. In order to inform policymakers, purchasers, and providers (to prioritize MT research, financial, and operational …
Published in International Journal of Brain Sciences · Vol. 1, Issue 1, 2024 · pp. 32–39 Read article
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Revolutionizing Vaccine Development:The Transformative Role of Bioinformatics in Designing Next-Generation Immunotherapies
Abstract: Vaccines have long been central to the prevention and control of infectious diseases, dramatically reducing morbidity and mortality worldwide. In the modern era, the integration of bioinformatics has revolutionized vaccine development by enabling rapid, precise, and cost-effective identification of potential vaccine targets. This seminar explores the multifaceted applications of bioinformatics in vaccinology, including antigen discovery, epitope prediction, structural modeling, molecular docking, and immunoinformatics-driven vaccine design. Special emphasis is placed on …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 12, Issue 3, 2025 · pp. 19–33 Read article
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Educating Compilers to Learn: Utilizing Machine Learning for More Brilliant Code Optimization
Abstract: This study explores the use of machine learning (ML) approaches to compiler optimization. The now-traditional static compilation techniques are transformed into adaptive, dynamic systems capable of making context-specific advancements. Traditional compilers rely mostly on heuristic or rule-based optimization techniques. While these techniques work well in general cases, they consistently fail to adapt well within the limits of code structures that modern machines display. This limitation is especially acute in today's …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 1, 2025 · pp. 50–54 Read article
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Electoral Engagement and Political Representation: An Analytical Study of Women’s Participation in India’s Democratic Process
Abstract: This study investigates the persistent disconnect in women’s political participation in India, where their consistently high voter turnout stands in stark contrast to their minimal presence in Parliament. Although constitutional provisions guarantee equality and women demonstrate strong engagement as voters, their representation within formal political structures remains disproportionately low. Using the 2024 Lok Sabha elections as a primary reference point, the research interrogates core questions surrounding this imbalance: Why does …
Published in OmniScience: A Multi-disciplinary Journal · Vol. 15, Issue 3, 2025 · pp. 1–23 Read article
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Harnessing Microalgae for Wastewater Treatment: Industrial Prospects and Environmental Benefits
Abstract: Simultaneous pollutant removal and biomass valorization has made microalgae an attractive and innovative solution to wastewater treatment, which could be considered a sustainable, low cost, and low energy approach. Considering their ability to store carbon dioxide, resorb nutrients, and produce valuable bioproducts, they represent an alternative with ecological potential to other previously used treatment methods. This review discusses how microalgae are used in industrial applications including biofuels, pharmaceutical, cosmetic, agriculture, …
Published in Research and Reviews : A Journal of Biotechnology · Vol. 15, Issue 2, 2025 Read article
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Herbal Frontiers: The Role of Alternative Remedies in Combating Typhoid Fevers
Abstract: Typhoid fever, caused by Salmonella typhi, remains a major health challenge, particularly in developing regions where sanitation and healthcare resources are limited. With an estimated global incidence of 17 million cases annually, the disease poses a significant public health burden. The growing resistance to conventional antibiotics, such as fluoroquinolones and third-generation cephalosporins, exacerbates treatment challenges. This has spurred interest in alternative remedies, including herbal and homeopathic treatments.Herbal medicine offers a …
Published in Recent Trends in Infectious Diseases · Vol. 2, Issue 1, 2025 Read article
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Predicting Multiple Diseases Using Machine Learning: A Data-Driven Approach
Abstract: The increasing prevalence of chronic and life-threatening diseases highlights the need for innovative healthcare solutions that enable early detection and proactive management. The Multiple Disease Prediction Platform is a web-based system utilizing machine learning (ML) and deep learning (DL) algorithms to analyze user-inputted health data, generating real-time predictions of potential health risks. By leveraging Python’s Streamlit library, the platform provides an interactive and accessible diagnostic experience, eliminating the need for …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 2, 2025 · pp. 16–35 Read article