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446 articles for “FEA analysis”
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Facial Biometrics for Attendance System
Abstract: This paper discusses the necessity for effective student attendance management systems by proposing a smart attendance management system utilizing biometric technology. It is well recognised that manually recording attendance is time-consuming and error prone. In this study, we propose a Facial Biometrics attendance system that automates attendance process without requiring human intervention. The system consists of a camera placed in the classroom to take pictures of the pupils. Subsequently, the …
Published in International Journal of Electrical and Communication Engineering Technology · Vol. 2, Issue 1, 2024 · pp. 36–44 Read article
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Early Alzheimer's Disease Detection Using Deep Ensemble Learning and MRI Image Analysis
Abstract: Early detection of Alzheimer's disease (AD) is crucial to slowing cognitive decline and enabling timely clinical interventions. Traditional diagnostic methods, including cognitive tests and single-model classifiers, have limited sensitivity during early stages of the disease. This paper presents a deep ensemble learning approach that integrates multiple convolutional neural networks (CNNs) for accurate Alzheimer's disease detection using structural Magnetic Resonance Imaging (MRI) data. The proposed framework utilizes ResNet50, VGG16, and DenseNet121 …
Published in Research and Reviews : Journal of Computational Biology · Vol. 15, Issue 1, 2026 Read article
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Study of Pros and Cons of Today’s Modern Operating System
Abstract: This research paper delves into the intricate realm of modern computer systems, which serve as the backbone of our daily digital interactions. These systems play a crucial role in powering the devices we rely on, from smartphones and tablets to laptops and desktop computers. By examining the positives and challenges inherent in these systems, this paper aims to shed light on their profound impact on our digital lives. One key …
Published in Journal of Operating Systems Development & Trends · Vol. 11, Issue 1, 2024 · pp. 17–23 Read article
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A Review on Lung Cancer Prediction Using Machine Learning
Abstract: Lung cancer continues to be a major contributor to cancer-related mortality across the globe. Timely diagnosis and reliable prediction models play a crucial role in enhancing treatment outcomes and survival rates for patients. The present study focuses on the utilization of machine learning (ML) methods for the prediction of lung cancer. Using datasets that incorporate clinical records, imaging modalities, and genetic profiles, the research assesses the predictive capabilities of multiple …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 14, Issue 3, 2025 · pp. 1–11 Read article
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The Effect of Attachment Styles on Emotional Regulation Impacting Relationship Satisfaction: An Exploratory Case Study Design
Abstract: This study explores the impact of early attachment experiences, emotional regulation, and relationship dynamics among six participants through a qualitative case study approach. Using thematic and narrative analyses, the research identifies key patterns in emotional suppression, fear of abandonment, trust issues, and self-awareness. Participants' narratives reveal how childhood experiences with caregivers influenced their emotional regulation strategies and attachment styles in adulthood. Findings indicate that those with secure emotional upbringings exhibited …
Published in International Journal of Behavioral Sciences · Vol. 2, Issue 2, 2025 · pp. 1–17 Read article
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Disaster Impact Assessment Using Multi-Sensor Satellite Data: An AI-Based Remote Sensing Approach
Abstract: Natural disasters such as floods, earthquakes, and wildfires cause significant damage to human life and infrastructure every year. Rapid and accurate assessment of the affected areas is essential for effective disaster response and recovery planning. Traditional image-based analysis using single-sensor data often fails under adverse conditions such as cloud cover, smoke, or poor lighting. To overcome these limitations, this study proposes a novel framework for disaster impact assessment using multi-sensor …
Published in International Journal of Satellite Remote Sensing · Vol. 4, Issue 1, 2026 · pp. 10–22 Read article
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Risk Assessment of Batch Sulfonation Process using Fault Tree and Bowtie
Abstract: The current study looks into the batch reactor's sulfonation reaction's safety features. Acetanilide, thionyl chloride, and chlorosulphonic acid are used in the sulfonation reaction under consideration to generate acetyl sulphonyl chloride as well as by-products such HCl and SOx. Steam starts the process, which is exothermic in nature. Water is then chilled to maintain a temperature of 50°C and a pressure of one atmosphere. The Hazard and Operability (HAZOP) analysis …
Published in Emerging Trends in Chemical Engineering · Vol. 11, Issue 3, 2024 · pp. 50–56 Read article
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AI-Driven Precision Nutrition: Advancing Personalized Dietary Systems for Public Health Equity in Resource-Constrained Environments
Abstract: The dual burden of malnutrition and diet-related non-communicable diseases (NCDs) represents a growing global public health challenge, particularly in low- and middle-income countries. Traditional dietary guidelines are largely population-based and fail to account for individual variability in genetics, metabolism, lifestyle, and environmental exposure. This limitation has led to the emergence of precision nutrition, an evolving field that integrates biological data and computational intelligence to deliver personalized dietary recommendations. This paper …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 15, Issue 1, 2026 Read article
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Investigating The Feasibility of Basalt Fiber as A Carbon Fiber Substitute in Composites for Automotive Applications
Abstract: The escalating carbon footprint, a consequence of dwindling natural resources and surging energy demand, necessitates immediate measures to mitigate environmental impact. This prompted the current study: to look at alternative manufacturing materials that could be utilized as a carbon-free substitute without compromising on mechanical properties. Basalt fiber was identified as a potential eco-friendly replacement to carbon fiber which has several advantages over carbon fiber and is entirely natural and biodegradable. …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 275–285 Read article
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Detection of Phished URLs Using Machine Learning
Abstract: Phishing attacks remain a significant cybersecurity challenge, requiring innovative detection strategies. This study investigates the use of machine learning to detect phishing URLs, to improve the accuracy and reliability of detection systems. Utilizing a diverse dataset of legitimate and phishing URLs we extracted the features such as lexical properties, domain-specific details, and HTML content to train various machine learning models. Algorithms including Random Forest, support vector machine (SVM), and gradient …
Published in Journal of Web Engineering & Technology · Vol. 11, Issue 3, 2024 · pp. 1–7 Read article
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Evaluating TRIZ Methodology in the Conceptual Design Phase of Industrial Products
Abstract: The Theory of Inventive Problem Solving (TRIZ) has emerged as a powerful systematic innovation methodology that enhances creativity and problem-solving efficiency in engineering design. This paper evaluates the application of TRIZ during the conceptual design phase of industrial products, where early-stage decisions critically influence functionality, cost, sustainability, and market competitiveness. TRIZ provides designers with structured tools—such as the 40 Inventive Principles, Contradiction Matrix, Su-Field Analysis, and Trends of Technological Evolution—that …
Published in International Journal of Industrial and Product Design Engineering · Vol. 3, Issue 2, 2025 · pp. 27–32 Read article
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Experimental analysis of wind turbine blade (HAWT) with recycled carpet waste polymer composite material
Abstract: The term "carpet" is often used interchangeably with "rug," but there is a technical distinction. Rugs are generally smaller and can be easily moved, while carpets are typically larger and cover a significant portion of the floor. Carpets are commonly used to enhance the comfort of indoor spaces, provide insulation, and contribute to the overall design and atmosphere of a room. Polymer composite materials also known as polymer matrix composites …
Published in Journal of Polymer & Composites · Vol. 12, Issue 3, 2024 · pp. 259–265 Read article
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Multi-Scale Analysis of Polymer Based Energy Storage Systems for High Performance Battery Applications
Abstract: The energy storage systems based on polymers are becoming promising materials for the next generation of high performance batteries because of their excellent mechanical flexibility, improved safety, and favorable electrochemical properties. Even with computational tools in Python, polymer-based energy storage systems remain plagued by poor ionic conductivity, complicated electrochemical reactions and potential thermal runaway. Therefore, a multi-scale model is proposed to improve battery performance, thermal stability, reliability, and large-scale deployment …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 1035–1048 Read article
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Lived Experience of Married Middle-aged Women Regarding Marital Satisfaction
Abstract: Introduction: Marital satisfaction is a significant contributor to general sense of happiness. A fulfilling marital relationship meets the intimacy requirements of both partners and contributes to their overall physical and mental well-being. However, elderly couples in today's era face new challenges associated with prolonged longevity. A study was conducted to explore the lived experience of marital satisfaction among married middle-aged women in selected community in Kannur. Objective of study was …
Published in International Journal of Women's Health Nursing And Practices · Vol. 2, Issue 1, 2024 · pp. 47–51 Read article
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Structure–Optical Property Correlation of Co-Doped TiO₂ and ZnO Nanofillers for Advanced Functional Composite Applications
Abstract: This study investigates the enhancement of the structural and optical properties of titanium dioxide (TiO₂) and zinc oxide (ZnO) nanoparticles through cobalt (Co) doping. Pristine TiO₂ and ZnO are widely studied metal oxides; however, their large band gaps and limited visible-light absorption restrict their performance in optoelectronic, photocatalytic, and environmental applications. Co doping is employed as an effective strategy to overcome these limitations by inducing band-gap narrowing, creating defect-related electronic …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1374–1394 Read article
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Analysis of the Output Power in Offshore Bladeless Vibrational Wind Turbines
Abstract: This work focuses on studying and analyzing the power generation in offshore bladeless vibrational wind turbines. In previous work, we developed detailed research about the vibrational wind turbine design and configuration; in this new work, we analyze the energy supply from this type of turbine to achieve a better understanding of the behavior and potential of bladeless vibrational wind turbines (BVWT) as an additional power source in offshore wind farms. …
Published in Journal of Offshore Structure and Technology · Vol. 11, Issue 3, 2024 · pp. 12–23 Read article
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Assessing Concrete Strength Through Substituting Coarse Aggregate with Steel Slag and Cement with Bentonite Powder
Abstract: This study investigates the strength characteristics of concrete by partially replacing cement with bentonite powder and coarse aggregate with steel slag. The research aims to evaluate the mechanical performance of concrete through compressive strength, split tensile strength, and flexural strength tests. Bentonite powder is substituted at varying levels of 0, 10, 20, and 30%, while steel slag is incorporated consistently at 60% as a replacement for coarse aggregate. The objective …
Published in Journal of Construction Engineering, Technology & Management · Vol. 15, Issue 2, 2025 · pp. 1–8 Read article
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A Study on “Clean" in Beauty: A Machine LearningApproach to Ingredient Transparency and ConsumerTrust
Abstract: The burgeoning "clean beauty" market, while driven by consumer demand for safer and more sustainable products, is plagued by ambiguous definitions and the pervasive challenge of "greenwashing". This ambiguity hinders informed consumer choices and complicates brand authenticity. This study addresses these complexities by developing a novel machine learning (ML) framework designed to objectively analyze cosmetic ingredient lists, classify products based on their "cleanliness" profile, and identify key ingredient attributes that …
Published in Recent Trends in Cosmetics · Vol. 3, Issue 1, 2026 · pp. 1–12 Read article
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Time Series Methods in Meteorology: A Review of Predictive Models and Applications
Abstract: The accurate prediction of time series data holds substantial significance in various fields, enabling informed decision-making and resource optimization. In this study, temperature variations over time are predicted using the Autoregressive Integrated Moving Average (ARIMA) model. Reliable temperature projections are more important now than ever because of climate change and its effects. For time series prediction problems, the ARIMA model—which is well-known for its ability to capture temporal dependencies in …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 13, Issue 2, 2024 · pp. 35–46 Read article
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An Evaluation of the Impact of a Structured Teaching Program on Staff Nurses' Knowledge of Low Back Pain Prevention in Intensive Care Units at Selected Hospitals in Bangalore
Abstract: The study aimed to assess the knowledge of ICU nurses concerning the prevention of low back pain (LBP), determine the effectiveness of a structured teaching program (STP) in improving their knowledge, and examine the relationship between pre-test knowledge levels and various demographic factors. A pre-experimental research design was utilized, featuring a one-group pre-test and post-test method. The study employed non-probability convenience sampling to recruit 60 ICU nurses for participation. Data …
Published in International Journal of Orthopedic Nursing and Practices · Vol. 2, Issue 2, 2024 · pp. 1–13 Read article