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1194 articles for “performance analysis”
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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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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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A Comprehensive Review: Effectiveness Of Multi-Sensory Learning Strategies for Learning Disability Students
Abstract: A person's ability to learn new things can be severely hampered by a range of neurodevelopmental diseases known as difficulties with learning. Multisensory learning is an instructional strategy that offers learners multiple ways to perceive information through different sensory signals. The purpose of this review is to assess how learning disabilities, Dyslexia, Dysgraphia, and Dyscalculia can be treated with a multisensory learning approach. A thorough evaluation of past papers published …
Published in International Journal of Education Sciences · Vol. 1, Issue 2, 2024 · pp. 01–09 Read article
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A Comprehensive Tool for Authenticating Instagram Profiles Using Instaloader
Abstract: With the rapid growth of Instagram as a dominant social media platform, there is an increasing need for tools that allow users to extract, analyze, and monitor profile data efficiently. Instagram has become one of the leading platforms for personal branding, influencer marketing, business promotion, and public communication. As businesses and individuals seek to better understand their presence and influence on this platform, the need for reliable data extraction tools …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 2, 2025 · pp. 93–98 Read article
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Enhancing The Mechanical Performance of Al6061/Graphite Composites Reinforced with Sic and Aluminium Oxide Processed by Stir Casting
Abstract: The study investigates the mechanical properties of aluminum alloy Al6061 reinforced with varying proportions of silicon carbide (SiC) (0 wt%, 4 wt%, 5 wt%, and 6 wt%) and aluminum oxide (Al₂O₃) (0 wt%, 4 wt%, 3 wt%, and 2 wt%), with a constant addition of 1 wt% graphite. The composites were fabricated using the stir casting process, an efficient and economical method for uniformly distributing ceramic reinforcements within the metal …
Published in Journal of Polymer & Composites · Vol. 13, Issue 2, 2025 · pp. 66–74 Read article
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In silico analysis of Abrus precatorius L. as a potential agonist of PPARγ : A novel approach to the treatment of diabetes
Abstract: Diabetes mellitus is a chronic disorder that is characterized by a lack of insulin secretion by the pancreas or a defect in insulin action, or both. If diabetes is not controlled, over time it can cause damage to blood vessels and nerves, leading to life-threatening complications such as, kidney damage, heart disease and vision impairment. It can also weaken the immune system, making patients more prone to infection. Although treatments …
Published in International Journal of Molecular Biotechnological Research · Vol. 3, Issue 2, 2025 Read article
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Crack Propagation Analysis in Metallic Alloys: A Comparative Study of Traditional and Advanced Materials
Abstract: A vital component of materials science and engineering, crack propagation analysis is essential to determining the structural integrity and dependability of materials. Designing safe and long-lasting structures for a variety of sectors required an understanding of how cracks begin, spread, and interact with a material's microstructure. To guarantee the performance, safety, and dependability of materials in a variety of applications, crack propagation analysis is essential. It offers insightful information about …
Published in International Journal of Fracture Mechanics and Damage Science · Vol. 1, Issue 1, 2023 · pp. 33–41 Read article
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Accelerate Drug Development with Pharmacokinetic Softwares
Abstract: During continuously evolving technologies and mechanized equipments, there has been a tremendous growth in the pharmaceutical sector over the past few decades. New technologies, software, devices, and techniques are being developed or researched upon with each passing day. By leveraging pharmacokinetic software, researchers can efficiently analyze vast datasets from preclinical and clinical studies, extracting actionable insights that inform decision-making early in the development cycle. This predictive capability not only accelerates …
Published in Research & Reviews: A Journal of Drug Formulation, Development and Production · Vol. 11, Issue 3, 2024 · pp. 1–8 Read article
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An Evaluative Comparison of CD123 and CD66c as Biomarkers to Detect Minimal Residual Disease in B-Cell Acute Lymphoblastic Leukemia
Abstract: Background: B-cell Acute Lymphoblastic Leukemia (B-ALL) often shows lineage heterogeneity with lymphoid cells expressing myeloid markers. Minimal Residual Disease (MRD) refers to the small number of cancer cells that may remain in a patient's body after treatment and that are undetectable by standard diagnostic methods. In diseases like B-cell Acute Lymphoblastic Leukemia (B-ALL), MRD is a critical prognostic indicator, as its presence can signal a higher risk of relapse. In …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 13, Issue 3, 2024 · pp. 7–12 Read article
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PG Life Management System
Abstract: The PG Life management system marks a major improvement in managing affordable housing, hotels, and dining options for postgraduate students. The platform integrates tools, task management, and learning resources to increase productivity and reduce stress associated with academic success. PG Life offers a user-friendly platform with flexible features, supporting college students in maintaining academic integrity and success. Its focus on transparency and clear communication improves the hotel guest experience, fosters …
Published in Journal of Web Engineering & Technology · Vol. 12, Issue 1, 2025 · pp. 20–24 Read article
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Advancing Sustainability: A Comprehensive Review of Environmental, Social, and Governance (ESG) Practices
Abstract: Environmental, Social, and Governance (ESG) frameworks have emerged as critical pillars guiding sustainable business practices and responsible investment decisions. This review explores the multifaceted role of ESG principles in promoting environmental stewardship, advancing social equity, and ensuring ethical governance. Environmentally, ESG focuses on combating climate change, conserving biodiversity, and managing resources through renewable energy adoption, waste reduction, and carbon emission control. Socially, it emphasizes employee well-being, diversity, community engagement, and …
Published in Journal of Thermal Engineering and Applications · Vol. 12, Issue 2, 2025 · pp. 1–9 Read article
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Role of Reinforcement Learning in Improvement of Semiconductor Doping
Abstract: The semiconductor industry faces increasing challenges in achieving optimal doping profiles as device dimensions shrink and performance requirements intensify. Traditional doping optimization methods, while effective, often struggle with the complex, multi-dimensional parameter spaces characteristic of modern semiconductor manufacturing. This study explores the transformative role of reinforcement learning (RL) in improving semiconductor doping processes, examining how RL algorithms can autonomously optimize doping parameters to enhance device performance, reduce manufacturing costs, and …
Published in Journal of Semiconductor Devices and Circuits · Vol. 12, Issue 2, 2025 · pp. 23–34 Read article
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Optimizing Green Composites for Automotive Applications Using Taguchi-Based Grey Relational Analysis
Abstract: The increasing demand for sustainable and lightweight materials in the automotive industry has driven the exploration of green composites as an alternative to conventional synthetic composites. This study focuses on optimizing the mechanical properties of green composites using Taguchi-based Grey Relational Analysis. Four natural fibers—pineapple, sisal, coir, and Nava—were reinforced with cashew resin and synthetic resin matrices, incorporating silica and granite fillers of varying sizes. Key properties, including hardness, impact …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 743–754 Read article
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User Review-Driven Recommendation Model for E-Scooter Selection
Abstract: In the era of rising environmental awareness and the growing emphasis on sustainable mobility practices, electric scooters (e-scooters) have gained significant popularity as an efficient and eco-friendly alternative to conventional modes of transport. Their ability to reduce carbon emissions, minimize traffic congestion, and offer cost-effective commuting solutions has made them highly attractive, particularly in urban environments. However, with the rapid expansion of the e-scooter market, consumers are faced with an …
Published in Trends in Transport Engineering and Applications · Vol. 12, Issue 3, 2025 · pp. 6–16 Read article
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Optimal Placement and Sizing of STATCOM for Loss Reduction and Voltage Profile Enhancement Using Genetic Algorithm
Abstract: Electric power distribution networks frequently experience significant power losses and voltage profile deterioration due to increasing load demand and inadequate reactive power compensation. This study investigates the enhancement of the Eleme distribution network in Rivers State through voltage upgrading and optimal deployment of a Static Synchronous Compensator (STATCOM). The existing network consists of a 5.56 km, 11 kV radial distribution system supplying seventeen distribution transformers with a cumulative load demand …
Published in Journal of Power Electronics and Power Systems · Vol. 16, Issue 2, 2026 Read article
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Evaluation of Machine Learning Classifiers for Sentiment Analysis
Abstract: Sentiment in social media refers to users’ emotions and opinions through their posts and interactions. Sentiment analysis (SA) refers to relating and classifying the sentiments expressed as engagement and interactions between users. When analyzed, tweets frequently produce a large source of clustered data. These data help determine people’s opinions about a variety of motifs. Thus, this study presents an Automated Machine Learning (ML) Sentiment Analysis Model to detect media sentiment. …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 2, 2024 · pp. 141–154 Read article
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Integrated Optimization of Solar Photovoltaic Systems Using Taguchi Method and Computational Fluid Dynamics for Enhanced Efficiency
Abstract: The transition to renewable energy demands efficient and reliable photovoltaic (PV) systems to meet rising global energy needs. This study presents an integrated optimization framework combining the Taguchi method and Computational Fluid Dynamics (CFD) to improve the thermal and electrical performance of solar PV systems. A structured experimental design using an L9 orthogonal array evaluates the influence of three key parameters—material type, panel thickness, and cooling mechanism—on system efficiency. Analysis …
Published in Recent Trends in Fluid Mechanics · Vol. 12, Issue 3, 2025 · pp. 10–25 Read article
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Design and Development of Fiber Sandwiched Composite Materials for the Improvement of Mechanical Properties
Abstract: This research paper presents the development and mechanical characterization of fiber sandwiched composite materials (FSCM) to address the increasing demand for high-strength, lightweight, and corrosion-resistant materials in advanced engineering sectors such as automotive, aerospace, and transportation industries. Traditional homogeneous materials such as metals, ceramics, and polymers often fail to provide a balanced combination of properties like high tensile strength, low density, toughness, abrasion resistance, and impact resistance needed for modern …
Published in Journal of Experimental & Applied Mechanics · Vol. 17, Issue 1, 2026 · pp. 22–37 Read article
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Role of Organizational Culture in Mediating AI-Induced Social Alienation: A Meta-Analysis
Abstract: The fast adoption of artificial intelligence (AI) in the workplace has raised worries about its influence on employee well-being, particularly social alienation. Social alienation is characterised by feelings of detachment and estrangement at work. It can harm job satisfaction, staff engagement, and organisational performance. Existing literature suggests that organizational culture is crucial in shaping employee experiences with AI technologies. This meta-analysis investigates how organizational culture mediates the relationship between AI …
Published in Recent Trends in Social Studies · Vol. 2, Issue 1, 2025 · pp. 28–33 Read article
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Comprehensive Introduction: Epoxy and Polyurethane Floor Coatings—A Critical Evaluation for Modern Industrial Applications
Abstract: Industrial flooring systems are essential for ensuring operational durability, safety, and longevity in demanding environments. Epoxy and polyurethane (PU) coatings represent two predominant technologies, each offering distinct mechanical, chemical, and aesthetic profiles tailored to specific performance requirements. Epoxy systems, formed through the crosslinking of bisphenol-A-based resins with amine hardeners, excel in high-strength, chemically aggressive settings due to their superior hardness, adhesion, and chemical inertness. In contrast, PU coatings, synthesized from …
Published in Journal of Thin Films, Coating Science Technology & Application · Vol. 13, Issue 1, 2026 · pp. 14–23 Read article