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253 articles for “five”
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An Automated Smart Contract Repair Framework for Reentrancy, Integer Overflow, and Denial- of-Service Vulnerabilities
Abstract: This paper introduces a novel static analysis framework designed to bridge a long-standing gap in Ethereum smart contract security: the disconnect between vulnerability detection and automated remediation. Although widely adopted tools such as Slither and Oyente are highly effective at identifying security weaknesses, they stop short of providing actionable fixes. As a result, developers manually patch vulnerabilities, a process that is not only time-consuming but also susceptible to human error …
Published in Journal of Computer Technology & Applications · Vol. 17, Issue 1, 2026 · pp. 31–41 Read article
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Skin Disease prediction and classification from dermoscopy images using Neural Network
Abstract: Skin diseases are among the most common health-related problems affecting people of all age groups, and their occurrence often varies with seasonal and environmental conditions. Delayed or incorrect diagnosis of skin disorders can lead to severe complications, making early and accurate detection extremely important for effective treatment and prevention. In recent years, rapid advancements in deep learning and neural network technologies have significantly contributed to the development of automated medical …
Published in Journal of Computer Technology & Applications · Vol. 17, Issue 1, 2026 Read article
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Synthesis, Characterization and Dielectric Properties of Polymer Materials for Microwave Communication Applications
Abstract: The rapid advancement in wireless communication technologies has necessitated the development of advanced materials with tailored dielectric properties. Polymer materials, because of their flexibility, lightweight nature, and processing ease, are currently being used in initiatives to formulate low-dielectric materials specifically tailored for microwave communication applications. In the current investigation, the authors concentrate on the synthesis, characterization, and dielectric properties of five distinct novel polymer materials. The synthesized polymers are characterized …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1482–1495 Read article
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Mechanical Characterization of Al6061 Hybrid Composites Reinforced with Boron Carbide and Fly Ash via Stir Casting
Abstract: The growing demand for lightweight, cost-effective, and high-performance materials in structural and automotive sectors has accelerated the development of hybrid metal matrix composites (HMMCs). This study investigates Al6061 alloy as the matrix material, reinforced with varying weight fractions of boron carbide (B₄C), a high-hardness ceramic, and fly ash, an economical industrial byproduct, to assess their synergistic effects on mechanical properties. Hybrid composites were synthesized using the stir casting technique to …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1711–1719 Read article
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Assessing Land use Dynamics and Policies in the Waghur Basin Using Geospatial Techniques
Abstract: Changes in land use and land cover (LULC) are key indicators of human–environment interactions, especially in river basins where anthropogenic pressure is increasing. This study evaluated land use change and policy implications in the Waghur Basin, India, through a geospatial analysis of 35 years (1990–2025). Remote sensing and GIS-based supervised classification with the help of machine learning methods were applied to multi-temporal Land satellite images to create LULC maps and …
Published in International Journal of Land · Vol. 3, Issue 1, 2026 · pp. 38–49 Read article
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Surfactant-Mediated Synthesis and Stabilization of Colloidal Nanoparticles in Aqueous Media: A Preliminary Study on Controlling Parameters
Abstract: Surfactants dissolved in water possess a distinctive tendency to accumulate at surfaces or interfaces, a process that involves the migration of surfactant molecules from the bulk liquid phase to the interfacial region. This adsorption tendency of surfactants is being exploited in stabilization of the Nanoparticles (NPs) synthesized through colloidal chemistry routes. In present research, preliminary studies on controlling parameters involving various surfactants has been carried out to standardized the chemical …
Published in Journal of Materials & Metallurgical Engineering · Vol. 16, Issue 1, 2026 · pp. 25–35 Read article
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AI-Enabled Recycling of Thermoplastic Polymer Waste in Hospitals: A Circular Economy Pathway Toward Green Hospital Certification
Abstract: This review research explores the latest role of AI in improving thermoplastic waste management for hospitals in terms of segregation accuracy, operational efficiency, and circular economy outcomes. Seventy-five relevant studies were analysed, and it was reported that AI-based systems, especially CNNs, YOLO models, and sensor-fusion approaches, achieved high accuracy in the identification and sorting of medical plastics, often above 90%. Early evidence also reveals improvements in the reduction of contaminants, …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 170–182 Read article
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Guanidine as a Starting Material for Preparing a Scale Inhibitor
Abstract: Oilfield scale inhibition, which can obstruct fluid flow in pipelines, valves, and pumps during oil production and processing, is critical for preventing scale formation. Effective scale inhibitors (SIs) minimize downtime and enhance productivity by preventing the build-up of insoluble crystals in water systems. In oil processing, scale formation results from the precipitation of salts due to incompatible aqueous phases, leading to equipment blockage. Phosphonates are highly effective chelating agents for …
Published in Journal of Petroleum Engineering & Technology · Vol. 16, Issue 1, 2026 · pp. 15–28 Read article
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AI-Powered Emotion Recognition in Dog
Abstract: Understanding animal emotions is important for improving veterinary care, human animal interaction, and overall pet well-being. Inspired by previous research that utilized a modified EfficientNetB5 model for emotion classification in cats and dogs, our study builds upon this foundation with a focus on real-time emotion recognition in dogs. While earlier approaches achieved high accuracy using Dense Residual and Squeeze-and-Excitation blocks, they often lacked real-time applicability and were not optimized for …
Published in International Journal of Machine Systems and Manufacturing Technology · Vol. 4, Issue 1, 2026 · pp. 20–32 Read article
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Comparative Environmental and Economic Assessment of Wind Turbine Blade Materials
Abstract: Wind energy has proven to be one of the most stable and non-polluting renewable energy sources to mass power production. For energy production wind turbine is an essential part of the wind power plant. The choice of the blade material and coating applied on it has a strong impact on aerodynamic performance, mechanical strength, fatigue life, manufacturing possibility, and environmental effects throughout the operating life of the turbine. Hence, authors …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 91–99 Read article
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Medical Tourism in India: Analyzing Benefits, Risks, and Regional Trends
Abstract: Background: India’s medical tourism industry has emerged as a global hub, generating approximately US$9 billion annually and attracting over 2 million patients seeking cost-effective, high-quality treatments and wellness therapies. Objective: To evaluate the benefits, risks, and regional disparities in medical tourism experiences among patients and providers across five Indian states. Methods: A mixed-methods study was conducted involving 850 international patients and 150 healthcare providers. Quantitative data were gathered through structured …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 15, Issue 1, 2026 · pp. 12–16 Read article
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Machinability and Reliability Analysis of Al6063–Al2O3 Metal Matrix Composites Using Image-Based Flank Wear Evaluation
Abstract: This study explores the machinability and reliability characteristics of Al6063–Al2O3 metal matrix composites (MMCs) as analogues for polymer–metal hybrid composite systems, focusing on their potential use in lightweight structural and metal matrix composite-integrated applications. The composite specimens were fabricated through stir casting with 3% and 9% Al2O3 reinforcements, followed by mechanical characterization that confirmed significant enhancements in hardness and strength compared to unreinforced Al6063. Machining experiments were performed using a …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 264–290 Read article
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Bridging the Gap Between Product Development and Entrepreneurship in Engineering Curriculum: A Framework-Based Approach Aligned with NEP 2020
Abstract: Despite advancements in technical education, Indian engineering graduates frequently enter the workforce lacking critical competencies in product development (PD) and entrepreneurship. This imbalance has drawn scrutiny from industry and policymakers alike, with national directives such as the National Education Policy (NEP 2020) emphasizing a shift toward “experiential, holistic, integrated and inquiry-driven” learning models. Similarly, the All-India Council for Technical Education (AICTE) has embedded innovation labs, internship mandates and entrepreneurship courses …
Published in International Journal of Education Sciences · Vol. 3, Issue 1, 2026 · pp. 87–100 Read article
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Computational Analysis of Leaf Spring System with Functionally Graded Materials Using ANSYS
Abstract: Leaf springs are important parts of a vehicle’s suspension system, and their main function is to absorb shocks, improve stability, and make the ride more comfortable. Traditionally, ASTM A36 steel is used because it is strong, long-lasting, affordable, and easy to get. However, this type of steel is very dense, which makes vehicles heavier. This extra weight makes the vehicle less efficient and increases emissions. Because of these issues, there …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 380–397 Read article
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Hybrid Additive-Subtractive Manufacturing of Multi-Material Functionally Graded Components: Integration of Laser Powder Bed Fusion with High-Speed CNC Finishing for Aerospace Applications
Abstract: The synergy involved in the merging of additive and subtractive manufacturing technologies is the game changer to generate multi-material functionally graded components to be used in the aerospace industries. The paper is an in-depth review of a proposed hybrid additive-subtractive manufacturing, which synergistically merges laser powder bed fusion (LPBF) fashioning with rapid computer numerical control finishing production processes. The multi-material deposition, thermal issues, and optimization of post-processing are the challenges …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 398–418 Read article
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A Study to Assess the Impact of Safe Delivery app on Knowledge Regarding Modern Contraception Among Final Year B. Sc Nursing Students in Chittoor Dist., AP
Abstract: Background: Postpartum hemorrhage (PPH) remains a leading cause of maternal mortality, particularly in low-income countries, highlighting the importance of skilled healthcare providers. Mobile health innovations such as the Safe Delivery App (SDA) have demonstrated effectiveness in strengthening knowledge and skills in obstetric emergency management. However, limited evidence exists regarding its role in improving knowledge of modern contraception among nursing students, who represent the future maternal health workforce. This study aimed …
Published in International Journal of Women's Health Nursing And Practices · Vol. 4, Issue 1, 2026 · pp. 29–34 Read article
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Challenges and Opportunities in Urban Waste and Water Management in Assam: A Guwahati Perspective
Abstract: Water and waste management problems are becoming more urgent in rapidly urbanizing areas like Guwahati, Assam. Current household practices, public awareness, and infrastructure support that either facilitate or impede waste and water management were evaluated in this case study. A structured online survey was used to gather data from fifty-five respondents in Guwahati, primarily urban youth, using a mixed-methods technique. Although low levels of waste generation were reported, the results …
Published in International Journal of Environmental Planning and Development Architecture · Vol. 4, Issue 1, 2026 · pp. 16–36 Read article
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Metaheuristic Design of Epoxy-Based Polymer Composites
Abstract: This research investigates the optimization of epoxy resin based polymer compositions in composite materials to enhance their mechanical and tribological properties for industrial applications. We examined the properties of composite materials by running experiments and optimizing these results using Firefly and five optimization algorithms to find the best steel and epoxy ratios. Our tests confirmed that higher dosages of steel powder increased materials' resistance to breaking and impacts yet lowered …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 769–791 Read article
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Development and Evaluation of Hybrid Natural Fiber Composites
Abstract: Natural fiber based polymer composites are becoming more common because they are cheap, sustainable, and operate effectively across mechanical and environmental settings. Natural fibers (NFs) like bamboo and roselle are being used to strengthen polymer composites. They are being used in textiles, medical equipment construction, and car making. People are becoming more interested in these fibers because of the unique properties. Bamboo fiber is an effective option for reinforcement in …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 908–915 Read article
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Environmental Impact Assessment of Ocean Energy Converters Using Quantum Machine Learning
Abstract: The accelerating deployment of ocean energy converters (OECs) across tidal, wave, osmotic, and thermal domains necessitates rigorous, data-intensive environmental impact assessment (EIA) frameworks capable of modelling multi-stressor marine ecosystems in real time. Classical machine learning approaches, while operationally mature, encounter scalability bottlenecks and feature correlation limitations when applied to the high-dimensional, non-linear datasets characteristic of offshore monitoring networks. This paper presents a comprehensive quantum machine learning (QML) framework for the …
Published in Journal of Energy, Environment & Carbon Credits · Vol. 16, Issue 1, 2026 · pp. 22–31 Read article