Search
1274 articles for “power”
-
Mathematical Modeling of Epidemics Using Stochastic Differential Equations: A Review
Abstract: The accurate modeling of infectious disease dynamics is crucial for predicting outbreaks and informing public health interventions. While deterministic models such as the SIR (Susceptible-Infected-Recovered) framework have traditionally been used to understand disease transmission, they often fail to account for the randomness inherent in real-world scenarios. Disease spread is influenced by numerous uncertain factors, including individual behavioral changes, environmental fluctuations, and imperfect data reporting. These uncertainties can significantly impact model …
Published in Recent Trends in Mathematics · Vol. 1, Issue 2, 2024 · pp. 1–6 Read article
-
The Impact of Geographical Indications on Sustainable Rural Development: Comprehensive Economic and Cultural Insights from Wayanad, Kerala
Abstract: Geographical Indications (GIs) play a vital role in fostering sustainable rural development by linking unique local products to their geographic origins. This study explores the impact of GIs on economic growth, cultural preservation, and environmental sustainability in Wayanad, Kerala. Drawing from extensive secondary data and detailed case studies including Wayanad Coffee, Jeerakasala Rice, and traditional handicrafts, the research highlights how GI certification enhances market value, improves income levels, and preserves …
Published in International Journal of Rural and Regional Development · Vol. 3, Issue 2, 2025 · pp. 18–29 Read article
-
Fast Charging of Lithium-Ion Batteries Using a Full-Bridge Rectifier and Buck Converter with SOC Tracking
Abstract: This paper presents a simplified and cost-effective approach to electric vehicle (EV) fast charging by replacing the conventional neutral point clamped (NPC) converter with a full-bridge diode rectifier followed by a buck converter. The proposed topology is designed to deliver a regulated 80 V DC from a three-phase AC grid to charge a lithium-ion battery at a controlled current of 3 A. The converter design includes a three-phase diode bridge …
Published in Trends in Electrical Engineering · Vol. 15, Issue 2, 2025 · pp. 18–25 Read article
-
The Future of Mathematics Education in the Era of Artificial Intelligence
Abstract: The rapid integration of Artificial Intelligence (AI) into education is fundamentally reshaping the landscape of mathematics teaching and learning. This study examines how AI-powered tools are converting conventional math training into inclusive, individualized, and data-driven learning environments. Through an in-depth examination of global case studies—including Squirrel AI, Carnegie Learning’s MATHia, Khan Academy, Microsoft Math Solver, DIKSHA, Photomath, ALEKS, and BYJU’S—the study highlights AI’s ability to tailor content, deliver real-time feedback, …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 12, Issue 2, 2025 · pp. 37–44 Read article
-
Assessment of Noise Pollution Level in Port Harcourt City: a Location Based Comparative Study
Abstract: Noise pollution has emerged as a significant environmental health concern in urban centers, particularly in rapidly developing cities like Port Harcourt, Nigeria. This study presents a comprehensive, location-based comparative assessment of ambient noise levels across selected zones within Port Harcourt metropolis, including residential, commercial, industrial, and traffic-dense areas. Sound level measurements were conducted in the different areas of Port-Harcourt metropolis. High-density and low-density residential neighborhoods, busy roadways, business centers, road …
Published in International Journal of Environmental Noise and Pollution Control · Vol. 3, Issue 2, 2025 · pp. 7–17 Read article
-
Dielectric Elastomers in Actuation and Energy Applications: Material Behavior and Design Strategies
Abstract: Dielectric elastomers (DEs), a class of electroactive polymers, have attracted significant attention for their ability to undergo large, reversible deformations under electric stimulation. This unique capability makes them highly suitable for a range of actuation and energy harvesting applications, especially in the emerging fields of soft robotics, flexible electronics, artificial muscles, and sustainable power generation systems. DEs offer compelling advantages such as low weight, mechanical flexibility, high energy density, and …
Published in International Journal of Electro-Mechanics and Material Behaviour · Vol. 3, Issue 1, 2025 · pp. 13–18 Read article
-
Revolutionizing Soldier Protection: Designing Smart, Lightweight, Safe, and Affordable Bulletproof Jackets for Indian Forces
Abstract: Soldiers in the battlefield need protection as much as possible and one piece of necessary equipment is the bulletproof jackets. But existing technologies in body armor today let go of some factors such as flexibility and cost efficiency, in favor of using enhanced new features. The purpose of this research work lies in the development of a new generation bulletproof jacket for Indian Armed Forces that has four attributes: smart …
Published in Trends in Machine design · Vol. 12, Issue 2, 2025 · pp. 19–32 Read article
-
Innovations in Targeted Drug Discovery for Personalized Medicine
Abstract: Personalized medicine is revolutionizing modern healthcare by custoizing treatment plans to match an individual’s genetic makeup, protein expression, and metabomlic characteristics. Also referred to as precision medicine, this approach seeks to improve therapeutic outcomes, reduce adverse effects, and make efficient use of healthcare resources. The incorporation of various omics technologies—including genomics, proteomics, transcriptomics, metabolomics, and epigenomics—has greatly advanced our ability to understand disease biology and molecular variations specific to each …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 12, Issue 3, 2025 · pp. 19–41 Read article
-
Analysis of a Battery Pack Module for a Formula Student Car
Abstract: This research aims to evaluate the development of a high-voltage accumulator system that meets established standards of safety and operation. It examines key components, protocols, and techniques used in its creation while assessing performance in electronic cooling and structural integrity. Polymers, serving as electrical insulators and flame retarders, have found an interesting application in EV battery packs. This study focuses on polycarbonate materials' ability to withstand thermal and structural loads …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 320–339 Read article
-
Phyto-Entrapped Carbon Dots as Emerging Nanomaterials for Anti-Cancer Activity
Abstract: Phytoconstituent-loaded carbon dots (C-dots) represent an innovative approach in targeted cancer therapy, combining the therapeutic power of plant-derived compounds with the advanced capabilities of nanotechnology. These ultra-small, biocompatible nanostructures offer excellent fluorescence, tunable surface chemistry, and low toxicity, making them ideal for drug delivery, bioimaging, and theranostic applications. Traditional phytochemicals often face challenges like poor solubility, low bioavailability, and high first-pass metabolism barriers that C-dots help overcome. C-dots synthesized through …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 16, Issue 3, 2025 · pp. 51–63 Read article
-
Fake Product Detection Using Convolutional Neural Networks
Abstract: The widespread circulation of counterfeit products in global markets presents a significant threat to both consumer trust and the integrity of established brands. With the advancement of artificial intelligence, particularly deep learning, there is growing potential to develop more sophisticated systems to combat this issue. This study introduces a novel counterfeit detection framework using the VGG16 Convolutional Neural Network (CNN) to distinguish between authentic and counterfeit products through image analysis. …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 3, Issue 2, 2025 · pp. 08–15 Read article
-
AI and Access to Justice: An Indian Perspective
Abstract: Artificial intelligence is set to transform the legal profession, influencing everything from legal research and document review to legal advice and decision-making. This study investigates the possible uses of AI in the legal area, such as predictive analytics and AI-powered legal research tools. This study explains the role of AI in Judicial Systems. The study covers the related literature, challenges and opportunities in Indian judicial system. The usage of AI …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 3, Issue 2, 2025 · pp. 30–37 Read article
-
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
-
Artificial Intelligence and the Future of Education
Abstract: Artificial Intelligence (AI) refers to the capability of a computer system to mimic human intelligence by performing tasks such as learning, reasoning, problem-solving, and decision-making. As a rapidly evolving and emerging technology, AI holds the potential to transform a wide range of sectors, including healthcare, transportation, business, and notably, education. Its application in the educational domain is gaining momentum, aiming to create more efficient, engaging, and personalized learning environments. Incorporating …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 3, 2025 · pp. 39–44 Read article
-
Full-Stack Web Development for Intelligent User Interfaces: Integration of MERN and Rails
Abstract: In the modern era of web development, by providing users with flexible, responsive, and interactive designs, Intelligent User Interfaces (IUIs) greatly improve the user experience. A hybrid method for constructing intelligent, scalable, as well as efficient online apps is discussed in this review work, which focuses on the integration of Ruby on Rails with the MERN stack (MongoDB, React.js, Express.js, Node.js). The MERN stack excels in dynamic frontend development, while …
Published in Journal of Web Engineering & Technology · Vol. 12, Issue 3, 2025 · pp. 15–25 Read article
-
Quantum-Inspired Neural Networks: Accelerating AI for Large-Scale Data Processing
Abstract: Recently, the world of artificial intelligence has been buzzing with exciting ideas inspired by quantum computing, especially when it comes to processing large amounts of data. Introducing the Quantum-Inspired Neural Network (QINN), a novel approach to conventional neural networks that blends concepts from quantum mechanics with machine learning techniques. Unlike typical networks that rely on neurons, QINNs utilize qubit-based representations, enabling them to perform computations in a more flexible and …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 12, Issue 3, 2025 · pp. 12–17 Read article
-
The Role of Augmented and Virtual Reality in Enhancing Education and Training
Abstract: Virtual reality (VR) and augmented reality (AR) are emerging as powerful tools that are transforming the way education is delivered and experienced. Unlike traditional teaching approaches that often rely heavily on textbooks, lectures, and passive learning, these technologies create highly interactive and engaging environments that allow students to actively participate in the learning process. By providing immersive experiences, VR and AR bridge the gap between theoretical knowledge and practical application, …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 12, Issue 3, 2025 · pp. 33–38 Read article
-
AI-Driven Robotics for Sustainable Solutions in Disaster Management
Abstract: Disasters, whether natural or man-made, present significant challenges to societies worldwide. Efficient response, recovery, and mitigation strategies are crucial to minimizing human suffering, loss of life, and economic damage. Traditional disaster management strategies, while effective to some degree, often face limitations related to human resources, response time, accessibility, and safety. The integration of artificial intelligence (AI) and robotics into disaster management offers transformative potential for overcoming these challenges. This paper …
Published in International Journal of Advanced Robotics and Automation Technology · Vol. 3, Issue 1, 2025 · pp. 24–30 Read article
-
The Evolution and Future Prospects of Solar Energy in India
Abstract: India has made great strides in incorporating solar energy into its renewable energy framework thanks to its plentiful solar resources. This case study examines the nation's advancements in solar energy development, the challenges it still faces, and its prospects for growth. India has aggressively pushed solar efforts to satisfy expanding energy demands responsibly and lessen reliance on fossil fuels, thanks to the country's high levels of sun irradiation in most …
Published in Journal of Energy, Environment & Carbon Credits · Vol. 15, Issue 3, 2025 · pp. 54–59 Read article
-
AI/ML-Based Approach to Solar Irradiance Prediction and Energy Suitability
Abstract: In this paper, due to challenges in precisely predicting solar irradiance, which is essential for solar power system optimization, we employed six diverse machine learning (ML) techniques: Linear Regression, Decision Tree, Random Forest, Gradient Boosting methods (including XGBoost), and Neural Networks—to analyze and predict outcomes using a dataset containing meteorological and temporal features. Key variables include wind speed, humidity, and temperature, which significantly influence the model’s predictive capability. Each method …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 16, Issue 3, 2025 · pp. 36–48 Read article