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248 indexed article(s)
This study presents a framework for managing technology transfer in India's wind energy sector, with a focus on supporting electric vehicle (EV) charging infrastructure. Using data from literature, interviews, Delphi studies, case studies,...
This paper investigates the process of technology transfer within India’s renewable energy sector, focusing specifically on the wind and solar energy industries. Using a mixed-method approach, which includes case studies, site visits, and a...
Robots face many problems in identifying RGB colours in captured images, which affects their performance in many applications. These challenges include different lighting, colour matching, constraints, and environment. The same object will...
Machine Learning (ML) models are becoming robust and more accurate nowadays as the rapid increase in the amount and quality of training data. Researchers are proposing complex models for real-life problems to achieve higher accuracy, which...
The study investigates the relationship between psychological distress and purpose in life among older adults, along with gender differences in these variables. The sample consists of 80 older adults aged 65 to 79 years, selected from vario...
The study explored teachers’ perceptions of parent-teacher partnerships for enhanced access to equitable education for learners with intellectual disabilities in mainstream primary schools. A qualitative case study was utilised to collect d...
The India-UK Roadmap 2030 outlines a comprehensive strategic vision for deepening bilateral ties between India and the United Kingdom across key sectors, reinforcing both nations’ commitment to economic growth, sustainability, and global le...
The National Education Policy (NEP) 2020 aims to reform India's education system by introducing progressive changes. However, its success depends on stakeholder awareness and acceptance. This study investigates parental awareness and percep...
Effective inventory management is crucial for businesses dealing with perishable or deteriorating goods. This research article examines various inventory models that account for time-dependent demand, price fluctuations, and product deterio...
The global COVID-19 pandemic, resulting from the infection by the SARS-CoV-2 virus, is emphasizing the urgent need for rapid and accurate diagnostic methods for the control of the infection spread. Lab-based testing methods can take time, l...
Nowadays, as technology is advancing to previously unheard-of levels, every company and organization is finding it difficult to balance inventory and customer expectations. Every organization relies heavily on sales, and being able to predi...
Background: Chronic low back pain (CLBP) with radiculopathy is a leading cause of disability worldwide. Conventional treatments generally have limited efficacy, high costs, and associated adverse effects. Objective: To evaluate the efficacy...
One of the main purposes of this work is to provide a path planning framework for IoT-enabled autonomous vehicles through the use of RRTs and A*. These were designed to maximize actual real-time navigation and decision-making in very dynami...
The increasing complexity of fraud strategies, combined with the rapid increase in transaction volumes, makes credit card fraud detection an important area of consideration in the banking sector. Due to the complexities of fraudulent behavi...
E-commerce has highlighted the requirement to use advanced cloud technology and data analysis techniques to power customer experience and business efficiency. This paper is a detailed study of integrating cloud-based solutions and machine l...
The very critical phase in SDLC is software testing, where application reliability, security, and efficiency are ensured. However, increasing complexity in software has made traditional test case prioritization (TCP) methods difficult, with...
Software testing plays a critical role in ensuring software reliability, yet traditional test case generation approaches often suffer from high computational overhead and inefficiency. Traditional methods, including genetic algorithms, stru...
This work introduces a novel system incorporating Internet of Things (IoT) empowered drones, robotics, and deep learning methods, specifically Convolutional Neural Networks (CNN), to identify areas affected by landslides. The system uses mo...
In this paper, a framework for optimizing cloud resource allocation using the Secretary Bird Optimization Algorithm and dynamic workload balancing has been presented. The presented method tackles inefficiency in cloud computing systems, suc...
This work discusses the evolution of a cloud platform for intelligent personalization and safe transactionmanagement in scalable e-commerce sites. With the growth of e-commerce, sites are compelled to provideindividualized user experience w...
