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1978 articles for “study analysis” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Characterization Techniques for Thin Film Coatings Based on SiO₂, TiO₂, and ZrO₂
Abstract: Thin film coatings made from silicon dioxide (SiO₂), titanium dioxide (TiO₂) and zirconium dioxide (ZrO₂) have attracted great interest owing to their excellent optical, electrical, mechanical and chemical properties. These oxide thin films are widely used in microelectronics, solar cells, sensors, biomedical devices, photocatalysis, anti-reflective coatings and protective layers. The structural, morphological, compositional, optical and mechanical properties of these coatings are closely related to their performance and reliability. Therefore, thorough …
Published in Journal of Materials & Metallurgical Engineering · Vol. 16, Issue 2, 2026 Read article
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Artificial Intelligence in Healthcare for Implants and Tissue Regeneration: Advances, Challenges, and Future Directions
Abstract: Artificial intelligence (AI) has been a revolutionary influence in contemporary healthcare, especially in implant design, biomaterials research, and tissue regeneration. In regenerative medicine, AI facilitates predictive modeling, optimization, and decision-making via the analysis of intricate biological, material, and clinical information. This study analyzes current research on AI applications in implant technologies and tissue regeneration, specifically addressing scaffold engineering, biomaterial characterisation, stem cell and gene treatments, smart biomaterials, and implant planning. …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 3, 2025 Read article
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Performance and Analysis of 6T, 8T & 10T SRAM Cell in 28nm Technology
Abstract: Technology scaling into deep sub-micron regimes has significantly increased the design challenges of Static Random Access Memory (SRAM), particularly at the 28 nm technology node. As transistor dimensions shrink, SRAM cells become more vulnerable to stability degradation, leakage current, process variations, and reduced noise margins, which adversely affect overall memory performance and reliability. The conventional 6T SRAM cell remains widely used due to its compact structure and high storage density; …
Published in Journal of VLSI Design Tools and Technology · Vol. 16, Issue 2, 2026 · pp. 12–18 Read article
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Analysis of Thermal Performance Improvement of Engine Fins by Varying the Materials and Profiles Used at High Temperatures
Abstract: In this thesis, we will design fins using various profiles and materials to identify the optimal combination for a 100cc engine. We will also test different materials for fins to evaluate the engine's heat efficiency. Our study will involve a comparison between the optimized fins and the original aluminum fins currently used. To ensure the optimal performance of the 100cc engine, we will utilize advanced analytical software to thoroughly analyze …
Published in International Journal of Energy and Thermal Applications · Vol. 2, Issue 1, 2024 Read article
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Machine Learning Based Sentiment Analysis of Student Feedback in Higher Education
Abstract: Educational institutions routinely collect feedback from students to understand their perceptions of academic programs, infrastructure, and campus facilities, to improve the overall quality of the college environment. In current practice, feedback is often gathered using numerical or grade-based rating systems, which tend to oversimplify student opinions and may overlook important details related to their level of satisfaction. In contrast, open-ended textual feedback allows students to clearly express their views, concerns, …
Published in International Journal of Data Structure Studies · Vol. 4, Issue 1, 2026 · pp. 01–10 Read article
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A Novel Genetic Algorithm For Biomolecular Interaction Studies
Abstract: The examination of recent developments in genetic algorithms is covered in this work. The genetic algorithms chosen for analysis are those that the scientific community finds to be of considerable interest. The fresh and demanding researchers will benefit from this review's ability to provide a broader perspective on genetic algorithms. The popular algorithms' benefits and drawbacks, as well as how they are implemented, are presented. In order to aid novice …
Published in Journal of Microelectronics and Solid State Devices · Vol. 9, Issue 2, 2022 · pp. 22–28 Read article
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Spatiotemporal Analysis of Mean-Field Coupled Lorenz Oscillators for Applications in Electronic Network Design and Chaotic Synchronization
Abstract: This study investigates the spatiotemporal behavior of a network of 100 coupled Lorenz oscillators interacting through mean-field coupling with coupling strength κ = 0.1 and explores its relevance to electronic system design and nonlinear network architectures. While each oscillator follows classical Lorenz dynamics, the coupling mechanism enables collective behavior that resembles synchronization phenomena observed in distributed electronic and communication systems. Numerical simulations reveal rich dynamical characteristics including partial synchronization, emergent …
Published in Journal of Electronic Design Technology · Vol. 17, Issue 2, 2026 · pp. 1–9 Read article
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The climate change analysis on water resources over western Ghat by deficit calculation method
Abstract: The objective of this work is to study the extreme hydrological events and climate change impact on water resources over western Ghat. The western ghat is spread over the area 140 thousand square kilometers and 2600 meter of average elevation. The 1600 Km long western ghat is biodiversity hotspot and home of different species it also forms the catchment which drains over one-third of India. To analyze the extreme hydrological …
Published in Journal of Water Resource Engineering and Management · Vol. 7, Issue 1, 2020 · pp. 16–35 Read article
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Jaccard Index Versus Preferential Attachment: A Comparative Study of Similarity Based Link Prediction Techniques in Complex Networks
Abstract: Link prediction is a critical task in network analysis that aims to forecast potential connections between nodes. Numerous methods have been developed to address this challenge, with similarity-based techniques gaining substantial attention due to their simplicity and effectiveness. This research work presents a comprehensive review of two prominent similarity-based link prediction techniques, namely the Jaccard Index and Preferential Attachment. The Jaccard Index measures the similarity between two nodes based on …
Published in Journal of Computer Technology & Applications · Vol. 14, Issue 2, 2023 · pp. 7–11 Read article
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Harnessing Machine Learning for Stock Movement Prediction: A Review of Current Approaches
Abstract: Stock price prediction is a crucial task in financial analysis, aiding investors and traders in making informed decisions. This study investigates the use of deep learning methods, particularly Long Short-Term Memory (LSTM) networks, for predicting stock prices based on historical market data. The dataset, sourced from Yahoo Finance, consists of time-series stock price data, which is preprocessed, feature-engineered, and visualized to improve prediction accuracy. The model's performance is assessed using …
Published in Journal of Advances in Shell Programming · Vol. 12, Issue 2, 2025 · pp. 29–40 Read article
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Assessment of Construction Waste to Identify Issues that Disrupt Sustainable Development: Case Studies in Sindh, Pakistan
Abstract: Due to intensification of construction works throughout the globe, the construction industry is facing challenges of managing construction waste. Researchers are innovating advanced construction waste management (CWM) techniques that can tackle bulkiness of the waste that remains problematic even after the construction. In Pakistan, a very little research is done to promote effective handling of such wastes. This paper presents the study done at construction sites in Daulatpur, Sindh, Pakistan …
Published in Recent Trends in Civil Engineering & Technology · Vol. 7, Issue 2, 2017 · pp. 10–17 Read article
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Study on the Mechanical Properties of Additively Manufactured Metallic Structures
Abstract: A revolutionary technology that has made it possible to produce intricate metallic structures with customized mechanical properties is additive manufacturing, or AM. An extensive analysis of the mechanical properties of metallic components made using additive manufacturing processesis presented in this paper. The study explores how material choice, post-processing techniques, and process parameters affect the mechanical behavior of AM metallic structures. By examining tensile strength, fatigue characteristics, hardness, ductility, impact resistance, …
Published in Journal of Experimental & Applied Mechanics · Vol. 14, Issue 3, 2023 · pp. 1–6 Read article
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Molecular Docking Study: Targeting mycobacterium leprae ML2640 Protein Using Active Compounds from Coscinium fenestratum
Abstract: Objectives: Leprosy is an infectious disease in skin, peripheral nerve and mucosa of upper airway. Around 70% of this infection is caused by Mycobacterium leprae, which was discovered during1873. Multi drug therapy is used for the treatment, still multiple drug resistance and reactions has been reported among patients. Hence, this work focused on identifying bioactive compounds from Coscinium fenestratum that can target mycobacterium leprae ML2640 protein by in-silico approach. Method: …
Published in International Journal of Genetic Modifications and Recombinations · Vol. 1, Issue 2, 2023 · pp. 21–33 Read article
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Dynamic Analysis of Irregular Building with Box Type Shear Wall at Center under Different Type of Soil
Abstract: Building engineers are being shown to accept High rise construction due to increase shortage and land cost. The development of high-rise buildings presents many challenges with the type of lateral load. In High rise buildings getting better efficiency and the high-strength shear wall is an effective solution. The Optimum location of the shear wall depends upon the structural shape of buildings. For irregular structures, inner shear walls provide more strength …
Published in Journal of Construction Engineering, Technology & Management Read article
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Effect of the Position of Geotextiles on the Strength Characteristics of Subgrade Soil in Bituminous Pavements
Abstract: In the past 20 years, many new road improvement techniques have revolved around the use of geosynthetics. Geosynthetics may be used in those areas where the soil remains saturated part of the year or over clay and moist silty weak subgrade soils. The quality and life of pavement is greatly affected by the type of subgrade, subbase and base course materials. Subgrade soil is the bottom most layer of the …
Published in Journal of Geotechnical Engineering · Vol. 3, Issue 2, 2016 · pp. 12–17 Read article
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Dynamic Analysis of Irregular Building with Box Type Shear Wall at Center under Different Type of Soil
Abstract: Building engineers are being shown to accept high-rise construction due to increase shortage and land cost. The development of high-rise buildings presents many challenges with the type of lateral load. In high-rise buildings getting better efficiency and the high-strength shear wall is an effective solution. The Optimum location of the shear wall depends upon the structural shape of buildings. For irregular structures, inner shear walls provide more strength and durability …
Published in Journal of Construction Engineering, Technology & Management · Vol. 11, Issue 2, 2021 · pp. 37–49 Read article
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Human-robot Collaboration in Manufacturing: Safety, Efficiency, and Technological Developments
Abstract: Human-robot collaboration (HRC) has emerged as a transformative force in modern manufacturing, significantly enhancing productivity, operational flexibility, and overall efficiency. This review article explores the fundamental aspects of HRC, with a particular focus on safety protocols, efficiency optimization, and technological advancements that are shaping the future of collaborative robotics. Ensuring safety in HRC environments is a primary concern, necessitating the implementation of advanced safety measures, risk assessment methodologies, and compliance …
Published in International Journal of Advanced Robotics and Automation Technology · Vol. 3, Issue 1, 2025 · pp. 18–23 Read article
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Assessment of Modern Contraceptive Utilization and Factors Associated Among Married Women of Reproductive Age Group at Mekelle City, North Ethiopia in August 2013
Abstract: Ethiopia is the second most populous nation in Africa. Its population has increased nearly seven times from 11.8 million at the beginning of the 20th century to about 80 million today. Where, only 27% in reproductive age groups are currently using modern contraceptive and number of factors could affect for effective use of modern contraception. But, still evidence showed that, as there is high maternal mortality and unwanted pregnancy. However, …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 5, Issue 2, 2015 · pp. 1–23 Read article
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E-Commerce Study Using AR/VR and Ethical Convergence of Commerce
Abstract: The landscape of E-commerce is undergoing a fundamental transformation, shifting from a platform-centric model of transactional exchange to an immersive, ecosystem-driven experience. This analysis examines the critical trends and disruptive forces that define the immediate and long-term trajectory of digital commerce. The study identifies three foundational pillars driving future growth: Hyper-Personalization via Generative AI, Spatial Commerce (AR/VR Integration), and Sustainable Supply Chain Resilience. Future E-commerce will be characterized by the …
Published in E-Commerce for Future & Trends · Vol. 12, Issue 3, 2025 · pp. 20–26 Read article
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Formability analysis of steel and copper based alloy sheet by using Erichsen Cupping Test Machine
Abstract: Metallic material formability study is critical in a variety of industrial areas, including automotive, aerospace, and manufacturing. The present study aims to investigate the formability properties of steel and copper-based alloy sheets using the Erichsen cupping test machine, an established technique for evaluating sheet metal formability. The process involves manufacturing identical steel and copper-based alloy specimens and subjecting them to the Erichsen cupping test. The test determines the maximum deformation …
Published in Journal of Polymer & Composites · Vol. 11, Issue 12, 2023 · pp. 49–57 Read article