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1975 articles for “App development” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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The Therapeutic and Biotechnological Potential of : Pogostemon benghalenesis, A Comprehensive Review
Abstract: Pogostemon benghalensis is a fragrant perennial shrub belonging to the family Lamiaceae, widely distributed across tropical and subtropical regions of Asia. It has been extensively utilized in traditional and ethnomedicinal systems for the treatment of wounds, skin infections, fever, digestive disorders, inflammation, and respiratory ailments. The plant is also valued for its antiseptic, aphrodisiac, insect-repellent, and veterinary medicinal properties. Its leaves, roots, and essential oil are incorporated into herbal formulations, …
Published in Research & Reviews : Journal of Botany · Vol. 15, Issue 2, 2026 Read article
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Current Perspectives of Prader -Willi Syndrome: A Multisystem Approach
Abstract: Prader-Willi syndrome (PWS) is a genetic disorder with multisystem involvement, caused by the lack of expression of genes on the paternally inherited chromosome 15q11.2-q13 region from paternal 15q11-q13 deletions (about 60%) or maternal uniparental disomy 15 or both. It is a complex and contiguous gene disorder which affects the multiple systems with many clinical presentations especially hypothalamic insufficiency. The clinical features are characterized by short stature position, developmental delay, cognitive …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 14, Issue 2, 2024 · pp. 42–48 Read article
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Evolution of Kinematic and Dynamic Design in Robotic Mechanisms: A Systematic Overview
Abstract: The field of robotics has experienced significant advancements in both kinematic and dynamic design, driven by the growing need for precision, adaptability, and autonomy in mechanical systems. Early robotic mechanisms were predominantly rigid and operated based on simple serial architectures, offering limited degrees of freedom and relying heavily on analytical formulations for motion planning and control. Over time, the demand for greater dexterity and operational versatility led to the development …
Published in Trends in Machine design · Vol. 12, Issue 2, 2025 · pp. 38–43 Read article
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Analysis of White Matter, Gray Matter, and Cerebrospinal Fluid Alterations in Neurological Disorders: A Deep Learning Approach
Abstract: This paper investigates the role of white matter (WM), gray matter (GM), and cerebrospinal fluid (CSF) alterations in the pathophysiology of neurological disorders, including Alzheimer’s disease, Parkinson’s disease, schizophrenia, and epilepsy. By leveraging advanced deep learning methodologies, we aim to automate the segmentation and analysis of brain structures from MRI scans, enabling a more detailed and precise evaluation of their roles in disease progression. These techniques allow for the identification …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 14, Issue 3, 2024 · pp. 21–27 Read article
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Envirosense Nexus: IoT-Driven Precision Waste Management for Urban Sustainability
Abstract: In modern urban environments, the improper handling of waste has become a significant issue, particularly due to insufficient and inefficient management of trash collection. This growing problem is leading to unhygienic conditions and pollution, requiring the introduction of smart waste disposal systems. To address this, we propose the development of an Internet of Things (IoT)-based intelligent trash bin that can autonomously detect, monitor, and report its waste levels. The system …
Published in International Journal of Robotics and Automation in Mechanics · Vol. 2, Issue 2, 2024 · pp. 26–31 Read article
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Photonic Polymer Composites for Light-Modulating Displays and High-Throughput Optical Data Transmission
Abstract: The combination of PMMA-based composites recently received substantial attention from the photonic applications field since these materials combine excellent optical transparency, mechanical flexibility and straightforward fabrication capabilities. The material performance of pure PMMA requires functional additives because it shows limited thermal properties and optical attenuation in addition to sensitivity against UV rays. The research explores developmental pathways for PMMA composites through combined use of nanoparticles and electro-optic polymers with dopants …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 838–860 Read article
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Alzheimer disorders diagnosis system design using machine learning for EEG signal
Abstract: The diagnosis of Alzheimer's disorders (AD), a prevalent neurological disorder, can created by utilising a range of therapeutic methods, including the electroencephalogram (EEG), which has been especially successful in the past. The objective for this study is to develop a computer-aided diagnosis tool which may recognize AD from EEG data. The EEG information was cleaned up with a band-pass elliptic digital filter to remove any interference or disruptions. The filtered …
Published in Journal of Control & Instrumentation Read article
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Grey Water Recycling
Abstract: Domestic grey water recycling and reuse in residential buildings have been comprehensively examined. It is estimated that recoverable grey water can account for approximately 35% to 40% of total household water demand, highlighting its substantial potential to reduce freshwater consumption in domestic settings. A comprehensive worldwide review of grey water recycling and reuse practices has been reported, highlighting the increasing importance of sustainable water management in both developed and developing …
Published in Journal of Water Pollution & Purification Research · Vol. 13, Issue 1, 2026 · pp. 69–77 Read article
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Comparative Analysis of Processing-Property Relationships in Metal and Polymer Matrix Composites: A Unified Statistical Framework for Hardness Characterization
Abstract: Composite materials, encompassing both metal matrix composites (MMCs) and polymer matrix composites (PMCs), exhibit complex processing-property relationships that fundamentally govern their mechanical performance across diverse applications. This study presents a unified statistical framework for analyzing hardness characteristics in composite systems, using aluminum-tungsten carbide (Al-WC) metal matrix composites as a representative model system while establishing connections to polymer matrix composite behavior. The investigation employed comprehensive processing parameter optimization, microstructural characterization, and …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 419–430 Read article
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Anti-Soiling Coating Technologies for PV Panels Under Dust Storm Conditions
Abstract: Background Deployment of photovoltaics (PV) in arid and semi-arid areas where there is ample sunlight has been increasing quickly because of their great solar irradiation. The rising number of dust storms, as well as depositing particulate matter to the air, have caused a significant decrease in energy production due to reduced transmittance of light through the surface of the PV panel from the dust on the panel’s surface. This has …
Published in Journal of Thin Films, Coating Science Technology & Application · Vol. 13, Issue 2, 2026 · pp. 26–36 Read article
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Twisting, Super Twisting and Adaptive Algorithm Sliding Mode Controller for Second Order Time Delay Systems
Abstract: The sliding mode control approach is widely considered as one of the most effective methods for designing a reliable controller for a complicated higher-order dynamic plant operating under uncertainty. The primary advantages of sliding mode is its low sensitivity to changes in plant parameters and the ability to entirely eliminate disruptions. Sliding mode control has been widely applied as a robust control design methodology that is completely insensitive to uncertainties, …
Published in Current Trends in Signal Processing Read article
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Comparative Study of AI-Driven Fashion Trend Prediction System Using AI and ML: A Review
Abstract: To overcome the challenges in fashion trend forecasting, researchers have introduced several advanced and data-driven approaches. One such method uses a long short-term memory (LSTM) model combined with an encoder-decoder architecture to extract meaningful fashion content and recognize styles from product images. This model achieves higher accuracy in predicting upcoming fashion trends by incorporating varying price intervals and has shown impressive results when evaluated on the Amazon fashion dataset. Another …
Published in E-Commerce for Future & Trends · Vol. 12, Issue 2, 2025 · pp. 35–41 Read article
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Automated Vehicle Entry Monitoring System Using YOLOv5
Abstract: This project showcases an innovative You Only Look Once (YOLO) object detection model-based Automated Vehicle Entry Monitoring System for community gates. By using YOLO, the system transforms conventional access control paradigms by accurately and in real-time detecting vehicles that are seeking to gain entry. Unlike traditional approaches, the project leverages YOLO's effectiveness in vehicle recognition, classification and Number Plate Detection to improve residential security. By providing communities with a cutting-edge …
Published in International Journal of Electrical Machine Analysis and Design · Vol. 2, Issue 2, 2024 · pp. 34–38 Read article
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Thermodynamic Optimization and Exergy-Based Performance Analysis of Hybrid Thermal Management Systems for Electric Vehicles
Abstract: The transition toward sustainable transportation has brought electric vehicles (EVs) to the forefront of modern engineering innovation. Despite their environmental benefits and improved energy efficiency, EVs face major thermal challenges that affect performance, safety, and durability. Efficient thermal management of batteries, power electronics, and electric drive systems is vital to ensure reliability under diverse operating conditions. This study presents a detailed thermodynamic optimization and exergy-based performance analysis of hybrid thermal …
Published in International Journal of Energy and Thermal Applications · Vol. 3, Issue 2, 2025 · pp. 19–23 Read article
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Power Estimation Approach for Artix 7 FPGA using Machine Learning Technique
Abstract: This paper presents the power estimation approach using a suitable machine learning technique. Artix7 FPGA has been chosen as the target FPGA (Field Programmable Gate Arrays) platform for understanding the methodology of power estimation. There are various approaches of power estimation for FPGAs that have been given in the literature viz. probabilistic, statistical, and LUT- based, etc. In the past few years, the demand for hand-handled devices like smartphones, tabs, …
Published in Research & Reviews: A Journal of Embedded System & Applications Read article
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Application of Smart Material Technology: A Review
Abstract: These days, smart materials are employed in every aspect of technology and human life. Much work is being done to explore their potential in different engineering applications that could benefit the average person. Shape memory alloys, piezoelectric materials, magneto rheological materials (MR), and electro rheological materials (ER) are just a few examples of the many diverse kinds of smart materials. The electric supply can be adjusted to change the viscosity …
Published in Trends in Mechanical Engineering & Technology · Vol. 14, Issue 1, 2024 · pp. 34–39 Read article
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Advances in Polymer Chemistry for Coronary Artery Disease
Abstract: Coronary artery disease (CAD) remains the leading cause of morbidity and mortality worldwide, driving ongoing innovation in therapeutic materials and device design. Polymer chemistry has emerged as a cornerstone in the development of advanced cardiovascular interventions, offering versatile platforms to improve the safety, efficacy, and functionality of implantable devices. This review explores recent advances in the synthesis and application of biodegradable and biostable polymers, focusing on their roles in drug-eluting …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 710–716 Read article
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Securing the Internet of Things: A Survey on Lightweight Blockchain Framework for Enhancing Security and Privacy
Abstract: Modern technologies, supported by the Internet of Things (IoT), have imparted great speed in data sharing between connected devices across several domains of the economy. The Internet of things transformed data collection activities with its creation of smart homes and cities, healthcare, transportation environments, and industrial automation. The fact that there are multiple resource-limited devices, and continuous data transfer of sensitive information has turned the IoT devices less secure and …
Published in International Journal of Data Structure Studies · Vol. 3, Issue 2, 2025 · pp. 6–14 Read article
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Integration of Wind and Solar Energy with Fuzzy Logic Control MPPT for Grid-Connected Hybrid Renewable Power Generation
Abstract: The utilization of renewable energy sources, such as wind and solar energy, has gained significant attention due to their eco-friendly nature and sustainability. This research paper explores the mechanisms behind wind generation and its integration with solar power, focusing on the adoption of Fuzzy Logic Control (FLC) for Maximum Power Point Tracking (MPPT) in a grid-connected hybrid renewable energy system. The paper outlines the principles of wind and solar energy …
Published in International Journal of Electrical Power and Machine Systems · Vol. 3, Issue 2, 2025 · pp. 1–19 Read article
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A Comprehensive Survey of Polymer Detection Techniques and Computer-Based Analysis Methods for Advanced Material Characterization
Abstract: Polymers are widely used in aerospace, automotive, biomedical, packaging, electronics, and manufacturing industries because of their lightweight nature, durability, and versatility. Accurate polymer identification and characterization are essential for quality control, recycling, performance assessment, and the development of advanced materials. Characterization helps determine important properties such as chemical composition, molecular structure, thermal stability, mechanical strength, and surface morphology, which influence material performance and application suitability. Traditional polymer detection methods include …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 921–929 Read article