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83 articles for “Influential”
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Development of a Generative AI Model for Early Detection and Prevention of Electrical Faults in Thermal Power Plants
Abstract: Electrical faults in thermal power plants can lead to severe equipment damage, production downtime, and safety hazards if not detected in advance. This study presents the development of a Generative Artificial Intelligence (GenAI) model for the early detection and prevention of electrical faults using predictive analytics. The proposed framework integrates Generative Adversarial Networks (GANs) with deep learning (CNN) and machine learning algorithms (Random Forest, Logistic Regression) to enhance data diversity, …
Published in International Journal of Energy and Thermal Applications · Vol. 4, Issue 1, 2026 · pp. 45–54 Read article
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A Decade of Research on Polymer Manufacturing and Industry 4.0 Integration: A Comprehensive Bibliometric Review of Industry
Abstract: The advent of Industry 4.0 has brought a transformative revolution to the manufacturing sector by integrating advanced polymer technologies with intelligent, interconnected, and data-driven production systems. These developments have significantly reshaped industrial operations by improving efficiency, enhancing production flexibility, and enabling innovative manufacturing practices. Smart polymer processing, supported by automation, artificial intelligence, the Internet of Things (IoT), and real-time data analytics, allows manufacturers to optimize resource utilization, reduce waste, and …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1897–1905 Read article
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Ethical Challenges in Natural Language Processing: A Comparative Study of Solutions Across Multiple Domains
Abstract: This comparative analysis investigates the ethical challenges associated with natural language processing (NLP) by reviewing and synthesizing insights from ten influential and widely cited publications in the field. As NLP technologies are increasingly integrated into domains such as healthcare, finance, education, and governance, ethical concerns related to algorithmic bias, data privacy, fairness, accountability, and system transparency have become more prominent. This paper systematically examines how different researchers conceptualize and address …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 13, Issue 1, 2026 · pp. 01–07 Read article
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Explainable Machine Learning Integrated with Polymer-Based Diagnostic Technologies for Liver Health Classification
Abstract: Early and reliable assessment of liver health is essential for timely treatment, yet most machine-learning approaches face limitations such as class imbalance and low clinical interpretability. This study proposes a polymer-integrated, explainable machine-learning framework that combines SMOTE-based data balancing, Logistic Regression, and XAI techniques (SHAP and LIME) for transparent liver-health classification. In addition to ML modelling, the study emphasizes the emerging role of polymer-based biosensors, microfluidic polymer chips, polymer nanomaterials, …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 631–643 Read article
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Analyzing and Predicting Academic Behavior from Peer Pressure Indicators Using Machine Learning
Abstract: The academic achievement of a student is determined by their capability, but also by the companions with whom they associate. Friends can have a positive impact on students' motivation for school, and at times friends are distractions leading to a lack of attention on their school assignments. This particular study focuses on the number and quality of companions students associate with and to what extent that could be used as …
Published in International Journal of Education Sciences · Vol. 3, Issue 2, 2026 Read article
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Predicting Student Placement Readiness: A Machine Learning Approach Using Coding Activities and Multi-Dimensional Performance Indicators
Abstract: In the modern information-driven academic world, identifying student employability and placement preparedness has predicted. be made a part and parcel of academic planning and career. development. This study provides a machine learning-based. structure to evaluate and forecast student placement pre-paredness by combining various performance aspects-academic achieve- ment, coding activity, aptitude and behavioral engage-ment metrics. Multi-source was gathered and preprocessed in the study. student information, such as student records (CGPA, attendance), …
Published in International Journal of Education Sciences · Vol. 3, Issue 2, 2026 Read article
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TELEVISION MEDIA AND CHILDREN: A SOCIOLOGICAL INSIGHT ON RURAL SOCIETY IN PUNJAB
Abstract: The present paper deals with to understand the media forms of television and digital media as an influential agent of socialisation in contemporary society, especially among the children. The increasing accessibility of television and digital media, especially in the rural society of Punjab, have greatly impacted the patterns of childhood socialisation, cultural norms, religious practices, attitudes, and routine behaviour. During the study it is found that television continues to occupy …
Published in International Journal of Children · Vol. 3, Issue 2, 2026 · pp. 21–34 Read article
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Explainable Sentiment Mining Model in Mental Health Forums for Emotion Classification and Justification
Abstract: Understanding and interpreting emotions expressed in online mental health discussions plays a crucial role in enabling early detection of psychological distress and facilitating timely interventions. As individuals increasingly turn to digital platforms to share personal experiences and seek support, automated systems capable of accurately identifying emotional states can significantly assist clinicians, moderators, and support communities. This paper presents a deep learning–based sentiment mining and emotion classification framework specifically designed to …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 4, Issue 1, 2026 · pp. 22–32 Read article
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Tailoring the Compressive Behavior of Tetrachiral Auxetic Structures Through FDM Process-Parameters
Abstract: This research evaluates how fused deposition modeling (FDM) fabrication process parameters affect the compressive behavior of tetrachiral auxetic structures created from Polylactic Acid (PLA). Auxetic materials have several useful properties, including reversible deformation and high-energy absorbing capabilities, which are beneficial to creating ultra-lightweight structural, protective, and shock-resistance designs. Among the available auxetic topologies, the tetrachiral configuration is particularly attractive for engineering use, because its rotation-dominated node–ligament deformation gives a negative …
Published in Journal of Polymer & Composites · Vol. 14, Issue 5, 2026 · pp. 58–70 Read article
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Recent Advances in Polymer Analysis and Characterization Techniques for High-Performance Materials
Abstract: Polymers play a vital role in various fields, from biomedical engineering to energy storage. Developing high-performance polymers requires a deep understanding of their structure, properties, and behavior. This review paper delves into recent advancements in polymer analysis and characterization techniques. This paper is a comprehensive bibliometric analysis which investigates the research landscape of geopolymer concrete incorporating construction and demolition waste (CDW) by analyzing 389 publications from the Web of Science …
Published in Journal of Polymer & Composites · Vol. 12, Issue 5, 2024 · pp. 76–93 Read article
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Analyzing and Predicting Academic Behavior from Peer Pressure Indicators Using Machine Learning
Abstract: The academic achievement of a student is determined by their capability, but also by the companions with whom they associate. Friends can have a positive impact on students' motivation for school, and at times friends are distractions leading to a lack of attention on their school assignments. This particular study focuses on the number and quality of companions students associate with and to what extent that could be used as …
Published in International Journal of Education Sciences · Vol. 3, Issue 2, 2026 · pp. 1–7 Read article
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Thermal Performance Analysis and Optimization of Pin-Fin Heat Sink Using CFD, Taguchi Method, and Machine Learning
Abstract: Efficient thermal management is essential for improving the performance and reliability of modern engineering systems and electronic devices. This study presents the design, simulation, and optimization of a pin-fin heat sink using SolidWorks for three-dimensional modeling and ANSYS for thermal and computational fluid dynamics (CFD) analysis. Four different pin-fin geometries, namely square, pentagon, octagon, and circular fins, are considered to evaluate their thermal performance under varying operating conditions. Aluminum is …
Published in Trends in Mechanical Engineering & Technology · Vol. 16, Issue 2, 2026 · pp. 8–20 Read article
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A Comparative Analysis of the Automotive Parts Using the Electre Method
Abstract: The engine one of the most important components of a vehicle and the performance of the vehicle depends on it. Every It is the heart of the vehicle. It's a complex an engine that converts heat from burning gas into power Designed to change turn road wheels.The automobile gave people more personal freedom and provided access to jobs and services. This is Better roads and transportation led to growth. For …
Published in Journal of Control & Instrumentation · Vol. 13, Issue 3, 2022 · pp. 16–27 Read article
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Classification Of Music Genre Using Machine Learning
Abstract: Machine Learning is a way that helps the systems to automatically learn from experience and improve the performance and predict the outcome more accurately without any requirement of being explicitly programmed. Music is one of the most significant and influential part of people’s life. Also, music is known as a universal language as it has the power to unite people from different places and cultures. This helps in the recognition …
Published in Journal of Instrumentation Technology & Innovations · Vol. 12, Issue 1, 2022 · pp. 11–16 Read article
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Optimization of Machining Parameters for End Milling of 1018 Mild Steel using Taguchi based Grey Relational Analysis
Abstract: The present work investigate the parametric optimization of end milling operation for 1018 mild steel with multiresponse criteria based on Taguchi approach with the Grey relational Analysis. Taguchi’s L9 orthogonal array which takes nine experimental runs was used to execute the design matrix of machining parameters. Cutting speed (CS), Feed (FD), Cutter RPM and Depth of cut (DOC) are optimized with the consideration of multiple performance characteristics namely Machining time …
Published in Journal of Mechatronics and Automation · Vol. 3, Issue 2, 2016 · pp. 36–47 Read article
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Economics of Construction Site Productivity: Work Environment Factors Affecting the Output of Craftmen in Nigeria
Abstract: The construction industry faces challenges and problems associated with craftsmen's output, which impacts the economic productivity of the construction sector. Construction workers in Nigeria have always been subjected to working within an unconducive environment, which has not allowed for a high level of economic productivity. This study extensively analyses some of these work environment factors affecting craftsmen's output on building sites in Port Harcourt, Nigeria. A survey of selected construction …
Published in Journal of Production Research & Management · Vol. 13, Issue 3, 2023 · pp. 12–23 Read article
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Is the propensity of increasing the rice production a sustainable approach? Experiences from India, Pakistan, and Bangladesh
Abstract: Half of the world’s population consumes rice as their staple food, making it one of the most demanding crops in the world. South Asia covers 37.5% of global rice harvested area and contributes 32% of global rice production. Due to high population growth rate, the demand for rice in South Asia will continue to increase. At present, around 276 million people in South Asia are undernourished. India, Bangladesh, and Pakistan …
Published in Journal of Water Resource Engineering and Management · Vol. 5, Issue 2, 2018 · pp. 12–28 Read article
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Modeling and Simulation to Monitor Dissolved Nitrogen Depositions in Eleme Streams, River State
Abstract: This paper monitor the dissolved nitrogen deposition in stream, the study observed high rate of nitrogen content in the stream, the result from physiochemical analysis shows the rate and variation of nitrogen concentration, this pollution content were monitored applying modeling and simulation, the predictive values were generated from different stations, the result shows decreasing rate of dissolved nitrogen from all the stations, the results expresses in every points of observation …
Published in Journal of Water Resource Engineering and Management · Vol. 7, Issue 2, 2020 · pp. 23–37 Read article
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Monitoring the Variations Influence of Bacterial Transport Coefficient on Rhodopseudomonas Depositions in Natural Pond
Abstract: This paper monitored the transport reflecting Rhodopseudomonas concentration in natural pond, the study express the rate of predominant influence from bacterial transport coefficient in the migration and deposition of Rhodopseudomonas in the study environment, the rate of bacterial transport coefficient in the natural pond shows that there is the tendency of partial immobile velocity in the pond, these factors reflected on the transport system of Rhodopseudomonas in the natural pond. …
Published in Recent Trends in Fluid Mechanics · Vol. 7, Issue 3, 2020 · pp. 24–39 Read article
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Use of Information and Communication Technology| by Medical Students: A Study of Central Library of CUSMCH
Abstract: AbstractThe use of information and communication technology (ICT) has become most influential and swift segment in library and information services. This study outlines the use of ICT by medical students and find out the significance of latest technology in central library. Presently, uses of electronic media and technologies are increased notably in healthcare profession, education and research. Medical students are often using ICT for an access to the library resources …
Published in Journal of Communication Engineering & Systems · Vol. 4, Issue 3, 2014 · pp. 18–25 Read article