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1192 articles for “MnCl2.4H2O salt reinforcement”
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Multi-Objective Optimization of Carbon-Glass Fiber Polymer Drilling Process Based on Fuzzy Grey Entropy Weighing Method
Abstract: In recent years, the machining characteristics of hybrid fiber polymer composites have garnered significant research attention due to their growing industrial applications. This study specifically focuses on the drilling of hybrid carbon-glass fiber reinforced (CGFR) epoxy composites, fabricated using the hand layup technique. The key machining characteristics evaluated in this drilling process include surface roughness and circularity error. The influence of critical drilling process parameters, such as spindle speed, drill …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 100–112 Read article
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Influence of Static Sequences on the Thermal Behavior of Eco-Friendly Pineapple/Ramie Composites
Abstract: The increasing demand for sustainable and environmentally responsible materials has driven the exploration of natural fiber-reinforced polymer composites as potential alternatives to conventional synthetic materials. Among various natural fibers, pineapple leaf fiber (PALF) and ramie fiber are notable for their complementary characteristics—PALF offers excellent insulating behavior and lightweight structure, while ramie provides high thermal stability and strength. In the field of Eco-friendly composite product manufacturing, the processing temperature holds significant …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 732–742 Read article
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Forecasting Commodity Prices Using Deep Learning Techniques: An Empirical Evidence from India
Abstract: Commodity price forecasting is instrumental in financial markets, providing framework for investment choices and risk management practices. Traditional models, including statistical and machine learning approaches, have limitations in capturing the nonlinear and volatile nature of commodity prices. Deep learning (DL) techniques have emerged as promising alternatives, leveraging advanced neural networks to enhance predictive accuracy. This study presents a thorough and comprehensive examination of deep learning applications in commodity price prediction, …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 3, 2025 · pp. 08–12 Read article
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Adaptive E-Learning Algorithms and Heutagogy: A Systematic Analysis
Abstract: The proliferation of artificial intelligence (AI) and machine learning (ML) technologies has transformed the digital education landscape by enabling adaptive e-learning systems capable of personalizing content and optimizing learning paths. This study provides a systematic analysis of adaptive e-learning algorithms within the framework of heutagogy, an educational paradigm that emphasizes learner autonomy, self-direction, and capability development. The convergence of adaptive technologies with heutagogical principles offers new avenues for creating more …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 3, 2025 · pp. 33–38 Read article
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Design and Implementation of Lightweight Polymer-Based Drone System for Targeted Agricultural Spraying
Abstract: Agriculture has entered a new era of innovation, with drone technology emerging as a key tool in pesticide and fertilizer application. Unlike conventional methods that expose farmers to hazardous chemicals resulting in health issues such as skin disorders, neurological impairments, and in extreme cases, fatal illnesses drone-based spraying offers a safer and more efficient alternative. In India, the adoption of this technology is accelerating due to its ability to reduce …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 476–486 Read article
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Routing Protocols in FANETs with Future Enhancements
Abstract: Flying Ad Hoc Networks (FANETs), which are swarms of Unmanned Aerial Vehicles (UAVs), are an emerging solution which revolutionized the area of mission-critical and infrastructure-less communication systems. These networks provide real-time data transfer for use cases such as disaster relief, battlefield observation, environmental monitoring, and 6G-based smart cities. However, the dynamic profile of FANETs, which is defined by high 3D mobility, limited energy resources, unstable wireless links, and constant topology …
Published in Journal of Aerospace Engineering & Technology · Vol. 15, Issue 3, 2025 · pp. 8–13 Read article
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MediSense AI - Smart Health Analysis System
Abstract: MediSense AI is a revolutionary health analysis system that empowers users by transforming complex medical data into understandable insights. This platform utilizes advanced technologies, particularly natural language processing and machine learning, to make intricate medical terminologies accessible to individuals without a healthcare background. Leveraging Llama 3, a cutting-edge AI model developed by Meta AI, the system can analyze various forms of medical data, including the ability for users to upload …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 14, Issue 3, 2024 · pp. 20–30 Read article
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Smart HVAC Systems: The Role of IoT and AI in Energy Optimization
Abstract: Heating, ventilation, and air conditioning (HVAC) systems are crucial for maintaining interior comfort and air quality in all types of buildings. However, they also rank among the highest energy users in the built environment. Traditional HVAC systems are evolving into intelligent, networked systems through the integration of Internet of Things (IoT) and artificial intelligence (AI) technologies, as energy efficiency and sustainability become increasingly important across the globe. This review article …
Published in Journal of Refrigeration, Air conditioning, Heating and ventilation · Vol. 12, Issue 2, 2025 · pp. 38–43 Read article
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Optimization of Lightweight Polymer Composites Using Finite Element Analysis Machine Learning and Topology Optimization Techniques for Aerospace Applications
Abstract: The advancement of aerospace engineering depends on lightweight polymer matrix composites (PMCs) because they help decrease weight while improving fuel efficiency and payload capacity together with increased structural integrity. Research developed a computer program comprising FEA with ANN and TO optimize high-performance PMCs through integrated design approaches. The combination of Python-controlled LS-DYNA simulations measured hybrid composite laminate resistance to impact while an ANN model obtained data from simulations to forecast …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 693–709 Read article
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Development of Polymer–Micro-Aluminum Composites for Lightweight Engineering Applications
Abstract: This research focuses on the systematic development of polymer–micro aluminum composites, with polypropylene (PP) and epoxy selected as representative polymer matrices. Micro aluminum fillers in the range of 5–25 wt.% were incorporated through melt blending (PP) and casting (epoxy), and the resulting composites were evaluated in terms of mechanical performance, microstructural integrity, and crystalline characteristics. Tensile strength of the composites increased significantly, from 31 MPa in neat PP to 44 …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 1–12 Read article
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The Role of Helicobacter pylori in Stomach Cancer Incidence: A Study in Rural Communities in Rajasthan
Abstract: Background: Stomach cancer remains a major global health challenge, with a particularly high burden in developing regions. Helicobacter pylori (H. pylori) infection is a known risk factor for gastric malignancy. In India, especially in rural states like Rajasthan, there is limited data on the prevalence of H. pylori and its association with stomach cancer, despite the high incidence of gastric diseases. Methods: This cross-sectional study was conducted among rural communities …
Published in Research and Reviews: A Journal of Health Professions · Vol. 15, Issue 3, 2025 · pp. 45–50 Read article
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Evaluation of dampness effect on some buildings in Ahmadu Bello University, Zaria, Nigeria
Abstract: Dampness is one of the sources of defect in building. Apart from triggering deterioration of the material and textures, it can also affect in harm to the furnishings and content there by allowing the development of fungi. There are many causes of dampness in building some of which include rain penetration which occurs ingress above the ground at the various points in the external envelope of the construction. i.e through …
Published in Journal of Structural Engineering and Management · Vol. 12, Issue 3, 2025 Read article
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Phytoconstituents of Ticanto crista (L.) R. Clark & Gagnon (Caesalpiniaceae): A Review
Abstract: Ticanto crista (L.) R. Clark & Gagnon (= Caesalpinia crista L.), a member of the Leguminosae family, is a medicinally important plant traditionally used in various systems of medicine, including Ayurveda, for treating a wide range of ailments. It has attracted increasing scientific interest due to its rich phytochemical profile and therapeutic potential. This review serves as a comprehensive index of the chemical structures of common and medicinal compounds isolated …
Published in Research & Reviews : Journal of Botany · Vol. 14, Issue 3, 2025 · pp. 38–59 Read article
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Real-time Emotion-aware AI Counseling System with Memory Retention Polymer Composites
Abstract: The availability of mental health services is still a major barrier, with many individuals constrained by financial limitations, social stigma, and a shortage of accessible counselors. This work introduces an emotion-aware AI counselor designed to provide empathetic and personalized emotional support via voice-based interfaces. The system leverages Natural Language Processing (NLP) and sentiment analysis to detect emotional cues from speech and generate contextually appropriate, comforting responses. A key innovation is …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1395–1407 Read article
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Futuristics of Renewable and Non-renewable Resources in Electricity Demand for Carbon-free Transportation with Electric Vehicles
Abstract: Greenhouse gases significantly impact the global environment, with carbon being the most substantial contributor. Transport accounts for nearly 22% of total global carbon emissions, prompting the urgent need for sustainable alternatives. Electric Vehicles (EVs) present a promising solution for mitigating transportation-related emissions. This study explores the transition from fossil-fuel-based transportation to EVs, examining ownership costs, global power demand, renewable energy integration, and trends in EV manufacturing and sales. A comparative …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1408–1425 Read article
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Fabrication and Assessment of Tribological Performance of Nickel-Graphene-MXene Hybrid Nano-composites
Abstract: As industries such as aerospace, automotive, defence, and electronics demand materials with superior wear resistance, high strength, and thermal stability, traditional metals are reaching their performance limits. Hybrid nanocomposites offer a pathway to meet these stringent requirements. In this study, novel Nickel-Graphene-MXene hybrid nanocomposites were fabricated using a powder metallurgy route, incorporating varying weight percentages (up to 2 wt.%) of MXene and 1 wt.% graphene nanosheets into a nickel matrix …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 780–798 Read article
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ML-Enhanced Smart Sensing Framework for IoT- Based Structural Health Monitoring Using Conductive Polymer Composites
Abstract: The growing demand for intelligent structural health monitoring (SHM) in dynamic infrastructures necessitates flexible sensing systems that are not only mechanically robust but also capable of real-time interpretation. Conventional SHM frameworks often rely on brittle sensor configurations and cloud-dependent processing pipelines, which suffer from latency, limited durability, and poor adaptability under variable loading conditions. Despite recent advances in composite materials and machine learning, current approaches lack a unified framework that …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 348–369 Read article
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Technical Advances in Drone Applications for Environmental Surveillance
Abstract: Unmanned Aerial Vehicles (UAVs), or drones, have rapidly evolved into essential tools for environmental monitoring and conservation due to their advanced sensor integration, real-time data acquisition, and autonomous operational capabilities. This review explores the multidisciplinary convergence of drone technologies with environmental science, emphasizing the technical and engineering aspects that drive these applications. The study outlines key UAV system components—including multispectral and hyperspectral imaging, LiDAR, thermal sensing, and real-time GPS-AI integration—highlighting …
Published in International Journal on Drones · Vol. 1, Issue 2, 2025 · pp. 14–20 Read article
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Challenges of E-learning for Learners
Abstract: E-learning, the use of digital technologies for education, has become increasingly popular in recent years. However, learners face several challenges in this mode of learning. This abstract explores some of the key challenges faced by learners in e-learning environments. E-learning environments often lack the interpersonal engagement found in traditional classrooms, such as collaborative discussions, peer support, and networking opportunities, which can result in feelings of isolation and reduced motivation. Success …
Published in International Journal of Machine Systems and Manufacturing Technology · Vol. 3, Issue 2, 2025 · pp. 7–15 Read article
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Epidemiology, Risk Factors, And Prevention Of Typhoid Fever In North India: A Regional Perspective
Abstract: Introduction: Typhoid fever, caused by Salmonella enterica serovar Typhi, remains a major public health concern, particularly in low- and middle-income countries. The disease is transmitted through contaminated food and water, leading to significant morbidity and mortality. Understanding its epidemiology, associated risk factors, and preventive measures is essential for effective control and management. This study aims to provide a comprehensive analysis of typhoid fever's prevalence, risk factors, and recommended interventions, with …
Published in Research and Reviews : A Journal of Immunology · Vol. 15, Issue 3, 2025 Read article