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1546 articles for “G-scale”
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Bharat Charge Alliance: key to India’s Electric Vehicle Transition
Abstract: The Bharat Charge Alliance (BCA) is an inclusive platform dedicated to creating a safer and more interconnected environment for India's Light Electric Vehicle (EV) industry. The BCA's main goal is to create a reliable and interoperable charging network throughout India, involving essential stakeholders like electric vehicle (EV) manufacturers, charging station and component producers, battery and energy suppliers, and charge point operators. This initiative, spearheaded by Kapil Shelke, Founder & CEO …
Published in Journal of Automobile Engineering and Applications · Vol. 11, Issue 3, 2024 Read article
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Deciphering the Pathophysiology of Migraine: Understanding Trigeminovascular System Activity and the Importance of the Gut-Brain Axis
Abstract: Migraine, a prevalent and disabling neurological condition, manifests in distinct phases: premonitory, aura, headache, postdrome, and interictal. Being a primary contributor to adult disability, it presents a substantial economic challenge on a global scale. Even with extensive research spanning centuries, the complete grasp of its root causes continues to evade us. This intricate neurovascular disorder primarily involves local vasodilation of intracranial and extracerebral blood vessels, coupled with simultaneous stimulation of …
Published in International Journal of Molecular Biotechnological Research · Vol. 2, Issue 1, 2024 · pp. 50–61 Read article
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Study of Nanoindentation Characteristics of Al/B4C/CNT Composites
Abstract: Nanoindentation characterization is one of the essentialities that are used in current work to measure hardness and elastic moduli properties of Al reinforced with B4C particulates and carbon nano-tube (CNT). The nanoindentation characterization enables measurements of mechanical characteristics on nano scale. The method is very effective to understand the localized variations in mechanical behavior of the composites that are influenced by precipitation of reinforcements. The composites were synthesized en-route powder …
Published in Journal of Nanoscience, NanoEngineering & Applications · Vol. 6, Issue 2, 2016 · pp. 7–12 Read article
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IoT-Based Battery Health Monitoring for Electric Vehicles Using Machine Learning
Abstract: With increasing utilization of the Electric Vehicles (EV)s in global scale, battery health management becomes a critical factor which has great impact on vehicle performance, safety and longevity. Battery materials, such as NMC LFP lithium-ion batteries and lithium-ion batteries, degrade over time from charging behaviour, heat stress, discharging voltage profiles and environmental limits. Conventional BMS only offer threshold based health diagnostics and cannot perform accurate degradation prediction. This work presents …
Published in International Journal of Machine Systems and Manufacturing Technology · Vol. 4, Issue 1, 2026 · pp. 8–12 Read article
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The Study on Energy-Efficient Context-Aware Architecture for Wired or Wireless Communication System
Abstract: The ever-increasing technical developments in the engineering of embedded systems, along with The proliferation of small sensor design and implementation has allowed mobile devices (e.g. Smartphones) understand everyday human acts, events and experiences. Consequently, inferring a wide spectrum of mobile application user-based behaviours from a very diverse background gathered from a collection of sensory measurements has attracted a great deal of attention in the field of ubiquitous sensing science. The …
Published in Journal of VLSI Design Tools and Technology · Vol. 10, Issue 3, 2020 · pp. 1–8 Read article
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The Convergence of AI and Composites - A Review Anchored in Patent Trends
Abstract: The integration of artificial intelligence (AI) and machine learning (ML) techniques is revolutionizing the design, analysis, and optimization of polymer (PC/FRP), metal (MC), and ceramic matrix composites (CC). Techniques such as artificial neural networks (ANN), deep learning (DL), genetic algorithms (GA), and physics-informed machine learning (PIML) are employed to enhance property estimation, process optimization, and predictive modeling. These AI-driven frameworks enable virtual testing, application-specific material design, and real-time decision-making, while …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 182–198 Read article
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Cardiovascular Illness Detection and Categorization with Innovative Neural Networks
Abstract: Health-related problems are increasingly prevalent in modern-day societies and are significantly shaped by a multitude of factors encountered in everyday life. Among these, cardiovascular diseases have emerged as one of the primary causes of death on a global scale, posing serious challenges to public health systems. In response to this growing concern, the present study proposes a machine learning-based framework that is not only highly effective but also reliable and …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 2, 2025 · pp. 21–30 Read article
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Socio-Economic Implications of Girl's Enrolment in Open Schools: Empowering Minds for Sustainable Development and Gender Equality in the 21st Century Authors: Sanjeev Vijay1*
Abstract: This research paper presents a comprehensive and in-depth comparative study investigating girls' enrolment in open schools in Rajasthan, India, while also considering its implications on a global scale. The main aim is to meticulously analyse the intricate factors influencing girls' enrolment, discern the challenges they encounter, and devise effective strategies to ensure equal access to education for all. To achieve this, the study adopts a mixed-method approach, combining qualitative and …
Published in OmniScience: A Multi-disciplinary Journal · Vol. 13, Issue 3, 2023 · pp. 18–25 Read article
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Interactive Projector: Application of MATLAB Embedded JAVA
Abstract: In this paper, the authors have worked on a technique to convert a simple projector into an interactive projector by using a LASER pointer. For this, the authors specially concentrated on transformation, namely projective transformation, for calibration purpose, feature extraction of a color image for locating a pointer and java commands to perform mouse operations. The authors manipulated an interested part of a captured image and matched its coordinates with …
Published in Current Trends in Signal Processing · Vol. 3, Issue 1, 2013 · pp. 15–19 Read article
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Formulation and Evaluation of Transdermal Patch to Enhance Treatment of Alopecia
Abstract: The improvement of novel topical sedate conveyance frameworks has picked up noteworthy consideration due to their potential in upgrading the helpful viability and persistent compliance whereas minimizing systemic side impacts. This thinks about centers on the definition and assessment of transdermal patches planned to discharge allicin, the essential naturally dynamic compound determined from garlic (Allium sativum) extricate. Allicin is eminent for its wide range of pharmacological properties, counting antimicrobial, anti-inflammatory, …
Published in Trends in Drug Delivery · Vol. 12, Issue 2, 2025 · pp. 20–33 Read article
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Topology and Geometry in Data Science: Persistent Homology and Beyond
Abstract: In recent years, the interplay between topology, geometry, and data science has gained substantial momentum, offering powerful frameworks to analyze and interpret complex datasets. Traditional statistical and machine learning methods often rely on linear or metric- based assumptions, which may fail to capture the intrinsic structure of high-dimensional or nonlinear data. In contrast, topological and geometric methods provide shape-oriented, scale- invariant tools that focus on the continuity, connectivity, and global …
Published in Recent Trends in Mathematics · Vol. 1, Issue 2, 2024 · pp. 21–27 Read article
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The Significance of an Open and Fair Internet
Abstract: This review work investigates the idea of net neutrality, highlighting its importance, arguing for and against it, and examining its effects on society. According to the concept of "net neutrality", all internet traffic should be treated equally without prejudice or favouring any one data or service over another. The study chronicles the development of net neutrality from its early years, when academic research was the main use of the internet, …
Published in Journal Of Network security · Vol. 11, Issue 1, 2023 · pp. 39–43 Read article
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Facial Expression Recognition using Convolutional Neural Network
Abstract: Machine learning is a subset of Artificial intelligence. Machine learning enables self-learning from past data and predicts the future. Machine learning is used in many applications such as self-driving cars, Google translate etc. Deep learning is a subset of machine learning. CNN is a convolutional neural network. The CNN approach is very effective in image classification. The target of this exploration is to assist a look acknowledgment framework dependent on …
Published in Journal of Advancements in Robotics · Vol. 8, Issue 1, 2021 · pp. 30–35 Read article
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Identification and Extraction of Fingerprint Recognition by using Minutiae Features
Abstract: Fingerprints are the ancient and most widely used form of biometric identification. Everyone has unique, irremovable fingerprints. Most of the Automatic Fingerprint Recognition Systems are based on local ridge and bifurcations as features known as minutiae, marking minutiae accurately are very important when it comes to matching of similar or non-similar fingerprints. A critical step in automatic fingerprint matching is to reliably extract minutiae from the input fingerprint images. This …
Published in Recent Trends in Parallel Computing · Vol. 3, Issue 1, 2016 · pp. 22–26 Read article
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Advances in Photocatalytic Catalysts for Wastewater Treatment
Abstract: Water is a fundamental component of the life support system and is indispensable for the survival of all living organisms. Life cannot exist without water, and human societies depend on it for drinking, agriculture, industry, and sanitation. Water resources are increasingly under pressure in terms of both quality and availability, largely due to rapid industrial development, expanding urban areas, and rising population levels. These human-driven activities have played a major …
Published in Journal of Catalyst & Catalysis · Vol. 13, Issue 1, 2026 · pp. 44–56 Read article
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Historical Reflection on the Imperative of Security Sector Reform (SSR) in A Democratic Society
Abstract: The end of Cold War heralded “Hot Peace” into the international system. Before then, people thought that the conclusion of the Cold War would bring about a lasting peace on a global scale. However, this noble aspiration was not 1a be s- September-il, amply and—brutally demonstrated besides, the increasing wave of terrorism. Global democratization efforts brought about the end of the Cold War. People all across the world took advantage …
Published in International Journal of Trends in Humanities · Vol. 1, Issue 2, 2024 · pp. 09–18 Read article
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AI-Driven Pharmacogenomics and Precision Medicine: Future of Personalized Therapy
Abstract: Pharmacogenomics and artificial intelligence (AI) are emerging as important drivers of precision medicine, enabling healthcare systems to adopt individualized therapeutic approaches. Pharmacogenomics examines how genetic variations influence drug response, efficacy, metabolism, and toxicity, while AI provides advanced computational tools for analyzing complex genomic and clinical data. This review highlights the integration of AI-driven pharmacogenomics in personalized therapy and its potential to improve treatment outcomes. Machine learning, deep learning, natural language …
Published in Emerging Trends in Personalized Medicines · Vol. 3, Issue 2, 2026 · pp. 1–12 Read article
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Wireless Biosensing Polymer Composites for Smart Healthcare Devices
Abstract: The wireless biosensing polymer composites have been found as one of the possible solutions in developing flexible, real-time and intelligent healthcare monitoring systems. Biomimic polymer matrices coupled with conductive nanomaterials can be used to design an understanding of physiological signals (strain, pressure, and temperature) that are highly sensitive and adaptable sensors. The attachment of these sensors to wireless communication systems, such as the Bluetooth Low Energy and Wi-Fi, eases the …
Published in Journal of Polymer & Composites · Vol. 14, Issue 14, 2026 Read article
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Sustainable Cotton Crop Productivity through Precision Weed Detection: A Deep Learning-Based Approach with UAV Integration
Abstract: Weeds present a major challenge to crop productivity by competing with crops for vital resources, including water, sunlight, and nutrients, often resulting in significant yield reductions. On a global scale, weeds are responsible for approximately 13.2% of annual crop losses, a quantity sufficient to feed nearly one billion people. These invasive plants disrupt agricultural systems and adversely impact crop yields. Given their uneven distribution in fields, ground or aerial robots …
Published in Journal of Aerospace Engineering & Technology · Vol. 15, Issue 1, 2025 · pp. 19–26 Read article
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Post-combustion CO2 capture by using chemical absorption process: Brief Review
Abstract: CO2 concentration on a global scale is increasing rapidly day by day, and it highly effects on the environment. CO2 mitigation strategies such as CCUS (Carbon capture utilization and storage) proved to be an efficient technology to combat the global warming issue. The three technologies commercially deployed for Industrial CO2 capture can be classified as 1. post-combustion process, 2. pre-combustion process, also 3. Oxy-fuel process. Post-combustion capture process has some …
Published in Journal of Modern Chemistry & Chemical Technology · Vol. 14, Issue 1, 2023 · pp. 56–67 Read article