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1368 articles for “Enhancement”
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Knowledge Enhancement on Scrub Typhus Through Planned Teaching: A Study Among UrbanAdults in Puducherry
Abstract: Background: Scrub typhus is a re‑emerging zoonotic infection in India, often misdiagnosed due to nonspecific symptoms. Awareness among adults is crucial for early detection and prevention. Objective: To assess baseline knowledge of scrub typhus among adults, evaluate the effectiveness of a planned teaching programme, and examine associations with demographic variables. Methods: A one‑group pre‑test and post‑test design was used. Fifty adults from Muthialpet, Puducherry were selected by convenience sampling. Knowledge …
Published in International Journal of Immunological Nursing · Vol. 12, Issue 1, 2026 · pp. 27–30 Read article
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Enhancing Weak Grid Stability Using Grid-Forming BESS in Renewable-Dominated Power Systems
Abstract: The growing share of renewable energy sources in the energy mix, particularly photovoltaic (PV) installations, has resulted in the reduced grid inertia and system strength, thus presenting new challenges in terms of voltage and frequency stability in weak grid situations. Conventional grid-following (GFL) inverters rely on synchronizing with the grid and performing relatively poorly under specific situations such as disturbances, voltage sags, or islanding. It has been the aim of …
Published in International Journal of Power Electronics Controllers and Converters · Vol. 12, Issue 2, 2026 Read article
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Exploration of Explainable Artificial Intelligence (XAI) Techniques to Enhance Model Interpretability
Abstract: Explainable Artificial Intelligence (XAI) has become a major research field because of the rising application of complex machine learning and deep learning models in actual decision-making systems. Although such models are accurate, they are in many cases black boxes and therefore the users do not have much understanding of the way the decisions are generated. This absence of transparency brings up some serious concerns connected with trust, accountability, fairness, and …
Published in International Journal of Electrical Power System and Technology · Vol. 12, Issue 2, 2026 Read article
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Optimizing Power Quality and System Efficiency in Wind Energy Conversion Systems for Enhanced Stability and Robust Integration with the Electrical Grid
Abstract: Wind energy is becoming one of the fastest growing renewable source in the world. It is clean and low cost, but when wind system connects to electrical grid there are many challenges like voltage fluctuation, harmonics, power loss and less stability. Power quality and efficiency problem make difficulty for strong integration with grid. For this reason, many research work is going on in area of condition monitoring, converter design, storage …
Published in International Journal of Power Electronics Controllers and Converters · Vol. 12, Issue 2, 2026 Read article
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Enhancing Facial Expression Analysis Using CNNs: Insights from ML and Deep Learning Comparisons
Abstract: Emotion recognition from facial manifestations increases the interaction between humans and computers by enabling the interaction between humans and computers to effectively explain human feelings. This study presents a comparative analysis of three approaches to the emotional recognition of faces: a custom Convolutional Neural Network (CNN) model, Traditional Machine Learning (ML) methods, and other deep learning architectures such as VGG, ResNet, and Hybrid CNN–RNN models. The proposed CNN-based system, developed …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 12, Issue 1, 2026 · pp. 23–31 Read article
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Front-End Converters for Power Quality Enhancement in EV Chargers: A Review
Abstract: The increasing growth of electric vehicle (EV) adoption has increased the need for charging infrastructure that is efficient, reliable, and works well with the grid. Front-end converters (FECs) are very important for making sure that power quality is good and that international standards are followed. They are located between the utility grid and the power conversion stages of EV chargers. This research paper offers an extensive examination of front-end converter …
Published in International Journal of Power Electronics Controllers and Converters · Vol. 12, Issue 1, 2026 Read article
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Evaluating the Role of Urban Green Spaces in Enhancing Neighborhood Livability: A Case Study of Vellayambalam
Abstract: Urban green spaces (UGS) constitute vital elements of sustainable urban systems, contributing significantly to ecological stability, social well-being, health benefits, and economic resilience. This study aims to evaluate the contribution of UGS to neighborhood livability in Vellayambalam, Trivandrum, by analyzing their environmental, social, and economic functions. The study includes combined geographical analysis, field survey, observation, and perspective study. Using maps helps to analyze the spatial distribution, accessibility, and ecological performance …
Published in International Journal of Landscape Planning and Architecture · Vol. 12, Issue 1, 2026 · pp. 41–51 Read article
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Enhancing Gender and Social Inclusion in Renewable Energy Initiatives in Africa: Best Practices for Community Engagement and Capacity Building
Abstract: Renewable energy projects in Africa present a unique chance to tackle energy deprivation and deep-rooted social disparities at the same time. Nonetheless, even with swift expansion in renewable energy implementation, gender and social inclusion are frequently neglected in project planning and execution, reducing their developmental effectiveness. Women, rural populations, individuals with disabilities, and other marginalized groups still encounter obstacles to engagement, regarding both decision-making and access to the advantages of …
Published in International Journal of Renewable Energy and its Commercialization · Vol. 11, Issue 2, 2025 · pp. 1–10 Read article
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Design, Analysis, and Material Optimization of a Passenger Railway Bogie Manipulator for Enhanced Performance and Efficiency
Abstract: Abstract The study aims to improve the design and optimize the material used in passenger railway bogie manipulators to improve their performance and efficiency. It is an essential tool in railway maintenance for lifting and relocating heavy bogie assemblies. The primary goal was to reduce overall weight and material use while maintaining structural integrity and operational reliability. After verifying the system structure, the original 70 mm screw was reduced to …
Published in International Journal of Mechanics and Design · Vol. 11, Issue 2, 2025 · pp. 1–13 Read article
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Optimization of Pulse Current TIG Welding Parameters for Enhanced Performance of CompositeAluminum Alloy Joints
Abstract: Abstract Tungsten Inert Gas (TIG) welding is highly regarded as the primary welding method, especially for challenging metals like aluminum. Pulsed current TIG welding has been specifically developed for welding aluminum alloys. Composite weld joints of aluminum alloys AA5052 and AA6063 find extensive use in diverse sectors, such as automotive and marine applications, where significant mechanical properties and corrosion resistance are required. It is crucial to carefully select the process …
Published in International Journal of Mechanics and Design · Vol. 11, Issue 2, 2025 Read article
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Enhance the Process Parameters for Material Removal Rate (MRR) Assessment in Turning Operations with HSS Cutting Tools
Abstract: AbstractThe experimental investigation of turning on EN8 steel of grade SAE (AISI) 1040 using HSS cutting tools was the focus of this work. The following study’s main goal was to apply the Taguchi method to ascertain how the machining parameters – feed, depth of cut, and cutting speed – affect the rate at which material is removed from the machined material. Finding the ideal machining parameters to optimize the material …
Published in International Journal of Computer Aided Manufacturing · Vol. 11, Issue 1, 2025 · pp. 16–23 Read article
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A Study of 3D Printing Technology and M.L. Algorithms for Enhanced Production
Abstract: Abstract The realm of 3D printing technology, also referred to as additive manufacturing, has garnered increasing interest in recent times due to its capacity to construct intricate geometric structures. Fused deposition modeling (FDM) stands out among the various techniques and has gained widespread adoption. However, achieving optimal outcomes with FDM poses a challenge, necessitating meticulous selection of process parameters. Presently, many methodologies rely on Machine Learning (ML) algorithms akin to …
Published in International Journal of Computer Aided Manufacturing · Vol. 11, Issue 1, 2025 · pp. 6–15 Read article
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Enhancing Glaucoma Detection with Convolutional Neural Networks: A Data-Driven Approach
Abstract: One of the main causes of irreversible blindness is glaucoma, which is characterized by certain alterations in the optic nerve that over time can impair vision. Manual evaluations, while invaluable, are challenged by inconsistencies, subjectivity, and the extensive time required. The study employed a dataset comprising retinal images annotated by experts. By using Convolutional Neural Networks (CNNs) to study and recognize important patterns in eye images, it was possible to …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 11, Issue 1, 2025 · pp. 1–6 Read article
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Analytical Evaluation of Injectable Pain Relievers for Enhanced Post-Operative Care
Abstract: One hundred ASA I and II patients undergoing general and gynecological procedures were randomly divided into two groups of 50, each receiving a different analgesic treatment. Vital parameters, including heart rate, respiratory rate, oxygen saturation (SpO₂), blood pressure, sedation levels, pain scores (VAS), side effects, and the need for rescue analgesics, were measured at intervals of 0–4, 5–12, and 24 hours post-surgery. The findings indicate that one of the tested …
Published in International Journal of Green Chemistry · Vol. 11, Issue 2, 2025 · pp. 1–14 Read article
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Analysis of Traffic Calming Measures for Enhancing Safety on Rural State Highways
Abstract: One of the main causes of death around the globe, especially for young people, is traffic accidents. One of the primary risk factors for road traffic safety is excessive speed, which raises the likelihood of accidents and diminishes their severity. This study presents experimental studies on how the allocation of traffic calming measures affects vehicle speed. In some areas of the road, it is crucial to regulate vehicle speed. Static …
Published in International Journal of Computer Aided Manufacturing · Vol. 10, Issue 2, 2024 · pp. 33–42 Read article
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Design and Analysis of MacPherson Suspension System and Enhanced Suspension Systems
Abstract: Customers look for safety and comfort, thus they are crucial to the success of car marketing. The McPherson suspension system, one of the most popular shock absorbers, has a history of excellent performance. Its unexpected demise and sudden fracturing, however, made it clear that the system needs thoughtful adjustments. The most important components of the shock absorber system that require improvement are the strut mount and spring. Because of the …
Published in International Journal of Mechanics and Design · Vol. 10, Issue 2, 2024 · pp. 13–26 Read article
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Personalized Movie Recommendations: Leveraging Machine Learning to Enhance Viewer Experience
Abstract: The film industry has experienced a tremendous surge in content creation over the past few decades, leading to an overwhelming array of movies across various genres and languages. As a result, movie enthusiasts often find it challenging to discover films that align with their unique preferences and tastes. To address this issue, the application of machine learning techniques for movie recommendation has gained prominence. An introduction to the idea and …
Published in International Journal of Digital Communication and Analog Signals · Vol. 10, Issue 2, 2024 · pp. 1–6 Read article
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Predictive Analytics in E-Learning: Enhancing Student Performance Through Machine Learning Models
Abstract: With the explosion of electronic devices and internet technologies in today’s world, the amount of data we store has grown massively. Data is simply information that has been organized in a way that makes it easy to share or work with. A potent technology that enables computers to learn from data without direct programming is machine learning, which we employ in our research. The focus of this study is on …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 10, Issue 2, 2024 · pp. 1–5 Read article
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Nanotechnology Era: Comprehensive Study of Magnetic ZnxFe2–xO3 Nanoparticles for Enhanced Treatment of Cancer and Infectious Disease
Abstract: In the contemporary world, scientists, technologists, and medical professionals are able to transform the knowledge of nanotechnology to medical treatment. They have been struggling to eradicate or reduce the risk effects of epidemic disease from the world. Such epidemic disease is challenging due to their vast replication, regeneration, hereditary case, genetic variations, and passages through genetic matter. For this reason, this research is focused on the biomedical application of ZnxFe2–xO3 …
Published in International journal of Nanobiotechnology · Vol. 10, Issue 2, 2024 · pp. 33–48 Read article
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Emerging Solutions for Enhancing Grid Connectivity in PV Inverter Designs
Abstract: The photovoltaic (PV) cell is one kind of renewable energy source that harnesses sunlight to create electrical current without the need for any kind of mechanical or thermal coupling. PV cells are typically joined to form PV modules, which have 72 PV cells total. Depending on temperature and sun irradiation, PV modules can generate a DC voltage between 23 and 45 volts and a maximum output of 160 watts. With …
Published in International Journal of Power Electronics Controllers and Converters · Vol. 10, Issue 1, 2024 · pp. 23–31 Read article