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278 articles for “data evaluation”
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Productivity Estimation of any Manufacturing Industry Using Fuzzy Logic in MATLAB Software
Abstract: In every industry/organization Labor Productivity plays a major part in the overall growth and production. Many time it is observed that industries do not attain their desired goals due to poor labor productivity. Labor Productivity is dependent on many different factors like Delay in Payment, management supervision over workers, proper work planning and scheduling, poor site safety program, lack of financial motivation system, etc. In this study, we estimated labor …
Published in International Journal of Manufacturing and Production Engineering · Vol. 2, Issue 2, 2024 · pp. 1–14 Read article
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Evaluation System for Teacher Performance with Data Analysis, Result and Conclusion Using Open Source Technology
Abstract: Evaluation in general is an element of everyday culture. People are judged and evaluated in most areas of society as to what their value is to their institution. Teacher performance evaluation has been a continuous process. Change in teacher performance evaluations is a recent educational phenomenon in education. Evaluation system for teacher performance is developed using open source tools and technologies like PHP PDO evaluation system using seven different criteria …
Published in International Journal of Data Structure Studies · Vol. 1, Issue 2, 2023 · pp. 25–32 Read article
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Pre-Procurement Electronic Waste Management Practices in Public Offices: The case of Hawassa City, Ethiopia
Abstract: Aim: This study aims to assess the electronic waste (e-waste) management practices in governmental offices in Hawassa City, Ethiopia, with a particular focus on the pre-procurement stages. The study seeks to identify how these offices handle e-waste and the challenges they encounter in managing it effectively. Study Design: A cross-sectional study design was used to gather and evaluate data on e-waste management practices in public offices.Place and Duration of Study: …
Published in International Journal of Environmental Noise and Pollution Control · Vol. 3, Issue 2, 2025 · pp. 1–6 Read article
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Intrinsic Evaluation of Graph Embeddings: Assessing Clustering and Community Detection Performance
Abstract: This paper presents an intrinsic evaluation of some graph embedding techniques on clustering and community detection tasks. We analyze a diverse set of embedding methods, ranging from traditional techniques such as Laplacian eigenmaps to more recent approaches like graph autoencoders, high-order proximity preserved embedding (HOPE), and graph attention network (GAT), using two widely studied datasets, Cora and CiteSeer. Our evaluation relies on two main metrics: Silhouette score with respect to …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 3, Issue 1, 2025 · pp. 40–48 Read article
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Effects of Boko Haram Insurgency on Basic Education in the Southern Part of Borno State of Nigeria
Abstract: A place's level of educational development is determined by its society. The standard of education given determines a society's degree of political, economic, technological, religious, and cultural growth. The purpose of the study is to examine how the Boko Haram insurgency affects universal basic education (U.B.E.) in the southern region of Borno state, which is affected by the insurgency in many ways. The researchers want to consider the mayhem of …
Published in Recent Trends in Social Studies · Vol. 2, Issue 1, 2025 · pp. 34–47 Read article
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A Comparative Study on Associated Factors of Hypertension Among Working Women and Non-working Women
Abstract: Background: One in four people worldwide is affected by high blood pressure, which is also the third leading cause of illness and a significant risk factor for death. Compared to non-working women, employed women had a higher prevalence of hypertension. This might be attributed to various factors such as job-related stress, lack of relaxation, and lack of physical activity. Method: Quantitative approach was adopted. To investigate the related determinants of …
Published in International Journal of Women's Health Nursing And Practices · Vol. 1, Issue 1, 2023 · pp. 09–14 Read article
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Evaluating an ai-supported experiential learning intervention: a quasi-experimental study of the joyful saturday model for student engagement and holistic development
Abstract: Student disengagement, declining academic motivation, and passive classroom participation remain major challenges in modern higher education systems. Traditional lecture-based teaching methods often fail to accommodate diverse learning styles and do not sufficiently promote active participation or collaborative learning. To address these challenges, the present study evaluates the effectiveness of Joyful Saturday, a structured experiential learning initiative designed to improve student engagement, motivation, and holistic development through interactive academic activities supported …
Published in International Journal of Behavioral Sciences · Vol. 3, Issue 1, 2026 · pp. 79–88 Read article
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A Review of Machine Learning Applications in Web Data Mining
Abstract: The rapid development of Internet technology has resulted in a rapidly changing and intricate digital environment that requires new methods for organizing and evaluating online data. This study examines the use of machine learning (ML) in web data mining, focusing on its ability to extract relevant insights from huge amounts of online data. Web data mining, which is divided into three categories: content mining, structure mining, and use mining, uses …
Published in International Journal of Data Structure Studies · Vol. 3, Issue 1, 2025 · pp. 39–47 Read article
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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. 1–10 Read article
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A study to assess the effect of nutritional supplementation on the hemoglobin level and the associated signs and symptoms of the students identified with anaemia in selected colleges of SNDT Womens’ University Mumbai
Abstract: The purpose of this study was to assess the effects of nutritional supplements on haemoglobin levels and related symptoms among students at SNDT Women's University in Mumbai who had been diagnosed with anaemia in a few particular institutions. Non-occurrence A sample of thirty anaemic students was selected via easy sampling. With a one-group pre-test-post-test methodology, the study used a descriptive evaluative design. Data collecting instruments included measurement devices, opinion questionnaires, …
Published in Emerging Trends in Personalized Medicines · Vol. 1, Issue 2, 2024 · pp. 16–25 Read article
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Knowledge About Reproductive Health Among Adolescent Girls in Selected Colleges: A Cross-sectional Study
Abstract: Introduction: Future generations' health is greatly influenced by the reproductive health of adolescent girls. For adolescent females to live healthy lives and safeguard against reproductive health issues, knowledge about reproductive health is crucial. The study's primary goal is to evaluate the pre-existing knowledge of reproductive health among adolescent girls studying in selected colleges. Methodology: A descriptive cross-sectional research with 200 teenage college-bound girls was done. The questionnaire was pre-designed and …
Published in International Journal of Women's Health Nursing And Practices · Vol. 1, Issue 1, 2023 · pp. 27–31 Read article
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Atmospheric Modeling: A Comprehensive Review of Numerical Approaches and Applications
Abstract: Atmospheric modeling plays a crucial role in understanding and predicting atmospheric processes, weather patterns, and climate variability. This review synthesizes current methodologies and applications across several types of atmospheric models, including numerical weather prediction (NWP), climate models, air quality models, and chemical transport models. We explore the intricacies of data assimilation, model evaluation, parameterization, and the importance of high-performance computing in advancing model accuracy and efficiency. Special emphasis is placed …
Published in International Journal of Atmosphere · Vol. 1, Issue 2, 2024 · pp. 16–21 Read article
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SiRNA-Based Multivalent Vaccines: A Systematic Review of Potential Risks, Benefits, and Future Applications
Abstract: Background: Small interfering RNA (SiRNA) technology represents a promising innovation in vaccine development, especially for multivalent vaccines that can target multiple pathogens or antigenic variants simultaneously. siRNA-based vaccines offer a unique mechanism to induce specific immune responses, presenting an adaptable and potentially powerful tool for tackling infectious diseases and cancer. Methods: This systematic review synthesizes recent studies on siRNA multivalent vaccines, focusing on their immunogenicity, safety, and effectiveness. We reviewed …
Published in International Journal of Vaccines · Vol. 2, Issue 1, 2025 · pp. 43–49 Read article
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Susceptibility to Rubella Among Tertiary Students in Punjab, India: A Cross-Sectional Study
Abstract: Rubella is a mild illness; however, it becomes severely threatening when associated with congenital rubella syndrome (CRS) for women of childbearing age. India still faces endemic rubella despite available vaccines, and vaccination coverage is low. Tertiary students are near reproductive age, and as a socially active and mobile population, they are highly susceptible to rubella and can aid in disease transmission. This study tried to fill the existing data gap …
Published in International Journal of Vaccines · Vol. 2, Issue 2, 2025 · pp. 1–10 Read article
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Predictive Analytics and Adaptive Learning: A Machine Learning Framework for Reducing Learning Gaps
Abstract: Most contemporary digital learning environments encounter persistent challenges when it comes to accurately identifying students who are at-risk of academic underperformance. These challenges often arise due to limited visibility in learners’ engagement levels and gaps in conceptual understanding, particularly during the early stages of a course. To address this issue, the present study proposes an early prediction framework that leverages comprehensive student-related data through the application of machine learning techniques. …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 4, Issue 1, 2026 · pp. 16–21 Read article
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Semantics Analysis of Expected Goals in Soccer Data Using Machine Learning
Abstract: In recent years, the increasing availability of soccer data has greatly enhanced the accuracy and depth of player performance evaluation. Soccer, being one of the most popular sports worldwide, attracts millions of fans due to its simple rules, minimal equipment requirements, and high entertainment value. However, analyzing an entire match manually can be time-consuming, leading to a growing demand for automated methods that can summarize and interpret game data efficiently. …
Published in International Journal of Data Structure Studies · Vol. 3, Issue 2, 2025 · pp. 31–47 Read article
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AI for Cybersecurity: Deploying Machine Learning for Network Traffic Anomaly Detection
Abstract: The growing sophistication of cyberattacks and the growth of network traffic necessitate sophisticated anomaly detection methods. This study overviews the use of artificial intelligence (AI) and machine learning (ML) to counter these challenges, as noted in current studies. It analyses supervised learning (SVM, Decision Trees), unsupervised learning (K-means, DBSCAN), and deep learning (CNNs, RNNs, Auto-encoders) approaches, considering their strengths and weaknesses. The research integrates current developments in AI/ML-based network anomaly …
Published in International Journal of Computer Science Languages · Vol. 3, Issue 2, 2025 · pp. 1–10 Read article
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Effectiveness of A structured teaching program on Leucorrhoea and it's management for women of Reproductive age group at selected college in Honavar
Abstract: Leucorrhea, also known as leucorrhea, is a white, yellow, or green discharge from a woman's vagina, which may be normal or asign of an infection. Leucorrhea is common during pregnancy and is typically normal if the discharge is thin, white, and odorless.Physiological leucorrhea is a condition that occurs in young women several months to a year after the onset of menstruation. It sometimes occurs in newborn girls and usually lasts …
Published in International Journal of Women's Health Nursing And Practices · Vol. 2, Issue 2, 2024 · pp. 40–44 Read article
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Energy performance analysis: An exploratory study of HVAC systems in efficient management of data centres
Abstract: Data center growth is being driven by the rapid proliferation of cloud services. Data centers are using an increasing amount of energy. The network is severely impacted by server workloads, cooling, and supporting equipment. The study aims to identify the energy consumption involved in building services and their operations and analyze the ways in efficient management of performance in data center. The objective of the study is to identify the …
Published in International Journal of Environmental Planning and Development Architecture · Vol. 1, Issue 2, 2023 · pp. 51–71 Read article
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Effect of Mindfulness-Based Yoga Practices on Anxiety and Attention Level Among High School Children in a Selected High School, Bhubaneswar, Odisha
Abstract: Background: In a world filled with endless pressures and expectation, school-aged children often find themselves navigating through a labyrinth of stressors and anxiety. from the moment they wake up their tiny minds are bombarded with worries about exams, social interaction.it is in these moments of chose that the ancient practice of yoga emerges as a gentle beacon of hope, offering solace and tranquility to these young souls. The study main …
Published in International Journal of Evidence Based Nursing And Practices · Vol. 1, Issue 2, 2023 · pp. 1–8 Read article