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981 articles for “traditional uses”
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Enhancing the Direct Assessment Method for ABET Accreditation: A Proposal for a Lightweight, Comprehensive, Precise, and Informative Approach
Abstract: This study introduces a new method aimed at improving the direct assessment technique used for assessing students in the context of ABET accreditation. The traditional direct assessment method has long been utilized for ABET accreditation, involving steps such as goal identification, assessment planning, selection of assessment instruments, data collection and analysis, interpretation and evaluation, and feedback and improvement. While this approach has served as a valuable tool for evaluating student …
Published in Journal of Computer Technology & Applications · Vol. 15, Issue 2, 2024 · pp. 12–27 Read article
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CHROMAWEAR: An AI Assisted Personalized Fashion Design Recommender System for Diverse Skin Tones to Enhance Fashion Choices
Abstract: In the age of fashion, we receive the same question every day: What should I wear today to look nice? The fashion industry is always changing, welcoming inclusivity and diversity. Still, despite the advancements, there are difficulties meeting people's varied needs, especially with regard to skin tone. This research work presents a personalized fashion design recommender system with artificial intelligence support to improve the fashion choices of people with different …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 2, 2024 · pp. 49–58 Read article
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Formulation and Evaluation of Herbal Hair Gel
Abstract: India is renowned for its traditional medical practices, such as ayurveda, yoga, Unani, and siddha. The use of herbal plants and their cosmetic preparations to improve human appearance is gaining popularity globally due to their effectiveness, quality and safety. This study aimed to create an herbal hair gel that promotes not only hair growth and health but also offers effective styling. The gel was made by combing ingredients known for …
Published in Research & Reviews : Journal of Herbal Science · Vol. 13, Issue 3, 2024 · pp. 1–9 Read article
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A Brief Review On Nanoparticles Drug Delivery System Used In Cervical Cancer
Abstract: Among cervical tumor-related deaths worldwide, cervical cancer is a major cause. The limitations of traditional methods, such as chemotherapy and radiation therapy, stem from their adverse effects and increased susceptibility to medications. Despite being seen as innovative options, immune checkpoint inhibitors (ICIs) have rather low clinical response rates. Reliable treatments for patients with metastatic or recurring cervical cancer are currently lacking. Lately, nanomaterials including polymers, liposomes, and dendrimers have been …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 15, Issue 1, 2025 · pp. 30–40 Read article
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Environmental and Health Impacts of Rice Milling: A Case Study of Dinajpur Sadar Upazila, Bangladesh
Abstract: Rice milling plays a crucial role in Bangladesh's agricultural economy but contributes significantly to environmental pollution, affecting air, water, and soil quality, which in turn impacts public health and agricultural productivity. While prior studies have focused on immediate health effects like respiratory problems and reduced crop yields, they often overlook long-term consequences such as chronic diseases, soil degradation, and socio-economic impacts. Additionally, there is limited comparison between traditional and automated …
Published in International Journal of Climate Conditions · Vol. 2, Issue 1, 2025 · pp. 18–28 Read article
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Automated Entry Door Powered by Waste to Electricity Generation
Abstract: Waste-to-energy technologies are currently under scrutiny due to the rising demand for sustainable energy solutions. This paper discusses the design and implementation of an automated entry door system powered by waste-to- electricity technology. The system integrates renewable energy generation from organic and inorganic waste with an efficient automated door mechanism, providing a sustainable and eco- friendly solution for energy utilization in modern infrastructure. The waste-to-electricity module converts biodegradable waste into …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 17, Issue 1, 2026 · pp. 9–14 Read article
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Thermal Dissipation Performance of Metal–Polymer Composite Heat Exchanger for Enhanced Thermal Management in Compact Electric Geysers
Abstract: Most electric geysers these days are made from all-metal stuff, like stainless steel tanks and copper coils for heating, plus mild steel on the outside. Standby heat losses can be 20 to 40 watts, and a 15-litre unit weighs around 6 to 8 kilograms. Manufacturing costs are higher, too. Hard water makes it worse, with limescale building up on the heating elements and cutting thermal conductivity by 10 to 30 …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 618–651 Read article
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A Review of Properties of Geopolymer Concrete
Abstract: The growing need for concrete around the world has led to both more concrete being made and more of it being used. Carbon dioxide is released into the atmosphere when regular Portland cement is made, which contributes to global warming (OPC). because concrete that is good for the environment needs new kinds of binders. Using different binders could cut down on the energy needed to make traditional concrete and the …
Published in Journal of Polymer & Composites · Vol. 11, Issue 4, 2023 · pp. 60–69 Read article
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Green Medicines in Drug Discovery
Abstract: The process of finding new leads for medicines using natural products is challenging. It discusses bioactive composites generated from natural resources, including phytochemical analysis, characterization, and pharmacological investigation. The success of these resources in the process of discovering unique and effective pharmacological combinations that may help mortal coffers is the primary focus. Natural goods have long been employed as a source of medicinal compounds, and they have shown promising results. …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 13, Issue 1, 2026 · pp. 32–48 Read article
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Balancing Quality Assurance and Scalability in Modern Open-Source Software: A Review
Abstract: The Modern Open-Source software development has increased rapidly and now is being used as critical infrastructure across the world. As the software expands maintaining high quality while supporting large scale has become the major challenge and tension globally. Traditional quality assurance methods are no longer sufficient when open-source software(oss) projects are handling with millions of users, developers and downloads. This review discusses four main issues: sustainability of package registers when …
Published in Journal of Open Source Developments · Vol. 13, Issue 1, 2026 Read article
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Education Needs Augmented Reality
Abstract: Augmented reality, or AR for short, is the integration of information in digital format, including the real image of a particular user. Many universities now use virtual reality. Using technology for education can create smart universities and Colleges. Thus, this essay will go over the different areas in which augmented reality can be applied. In education, augmented reality (AR) has become a game-changing tool that combines digital content with the …
Published in International Journal of Education Sciences · Vol. 1, Issue 1, 2024 · pp. 18–24 Read article
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Lung Cancer Detection and Classification Using Deep Learning
Abstract: Lung cancer is a disease that can be effectively treated if detected early. Various technologies, such as magnetic resonance imaging, isotopes, X-rays, and computed tomography scans, are employed for diagnosis. One of the most crucial strategies in combating cancer is early detection, which greatly enhances a patient’s likelihood of survival; this is where artificial intelligence plays a significant role. The approach proposed in this study leverages historical medical data to …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 13, Issue 3, 2024 · pp. 11–17 Read article
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Network Intrusion Detection System Using Decision Tree
Abstract: This paper presents a novel approach to network intrusion detection systems (NIDS) using advanced decision tree algorithms to address critical limitations in existing IDS solutions. Traditional IDSs often struggle with high false positive and negative rates, lack of scalability, and poor interpretability. Our proposed IDS leverages decision trees to enhance detection accuracy, interpretability, and scalability, thereby improving network security. Decision trees are chosen for their adaptive learning capabilities, transparent decision-making …
Published in Journal Of Network security · Vol. 12, Issue 2, 2024 · pp. 22–33 Read article
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Optical Image Sensing and Analysis of Iron Ore Pellets: A Machine Learning Approach
Abstract: The present work is aimed to improve quality control in steel production using SEM imaging and machine learning. High-resolution SEM images of iron ore pellets, primarily composed of hematite and magnetite, are analyzed to understand their microstructural features, which significantly impact pellet performance during reduction processes. Traditional microstructure analysis is manual, time- consuming, and prone to inconsistencies. This study proposes an automated approach using K-Means Clustering, Canny Edge Detection, DBSCAN, …
Published in Journal of Instrumentation Technology & Innovations · Vol. 15, Issue 3, 2025 · pp. 7–18 Read article
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Structural Behavior of Flexible and Semi-Rigid Beam-Column Joint Connections by FEM
Abstract: This study investigates the structural behavior of flexible and semi-rigid beam-column joint connections in cold-formed steel (CFS) structures, focusing on the use of Finite Element Modeling (FEM) to simulate their performance under various loading conditions. Traditional analysis methods often oversimplify beam-column connections, treating them as either perfectly rigid or fully flexible, which does not accurately capture real-world joint behavior. In reality, many beam-column joints exhibit semi-rigid characteristics, where the stiffness …
Published in Journal of Structural Engineering and Management · Vol. 12, Issue 3, 2025 Read article
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Solar Tracking System and Battery Management
Abstract: This project focuses on optimizing renewable energy systems by combining a dual-axis solar tracking mechanism with a smart Battery Management System (BMS) to improve solar energy harvesting and storage. The system uses an Arduino Uno microcontroller and Light Dependent Resistors (LDRs) to track the sun's position, enabling the solar panel to adjust its orientation in real-time for optimal sunlight exposure throughout the day. At the same time, the integrated IoT-based …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 17, Issue 2, 2026 Read article
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Real-Time Language Translation Application Using Tkinter
Abstract: This application, “Real Time Language Translation Application Using Tkinter”, was created to develop a friendly tool by which users can instantaneously translate text from one language to another. Built using Python and the Tkinter library, it uses the integration of the Google Translate API to deliver an accurate translation with context while relying on Natural Language Processing technology through the system for Google’s Neural Machine Translation. The GUI developed with …
Published in International Journal of Digital Communication and Analog Signals · Vol. 11, Issue 1, 2025 · pp. 26–32 Read article
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AI-Driven Predictive Maintenance Framework for Intelligent Vehicle Health Monitoring
Abstract: The accelerated development of smart and connected car systems made the necessity to find the accurate and real-time predictive maintenance solutions which would minimize the number of unexpected failures as well as increase the cars on-road safety. The current paper proposes an artificial intelligence-based hybrid predictive maintenance system that combines Long Short-Memory (LSTM) networks and the XGBoost predictor to provide a potent vehicle fault diagnosis, Remaining Useful Life (RUL) prediction, …
Published in Trends in Machine design · Vol. 13, Issue 1, 2026 · pp. 1–17 Read article
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Risk After Pediatric MRI Scanning: A Nation-Wide, Population Based Case-Control Study
Abstract: This paper investigates the potential association between pediatric MRI (Magnetic resonance imaging) exposure and the risk of developing childhood brain tumors, using action-wide, population-based and case-control methodology. The increasing use of MRI in pediatric healthcare has raised concerns about potential long-term health risks, including the risk of developing brain tumors. Detecting the presence or absence of brain tumor through traditional methods might require a lot of time as well as …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 3, Issue 2, 2025 Read article
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Harnessing Deep Learning to Explore Microbial Community Structure and Carbon Storage Capacity in Mangrove Ecosystems: A Framework for Computationally
Abstract: Mangrove ecosystems represent one of the most efficient natural carbon sinks on Earth, functioning as critical blue carbon habitats that sustain diverse microbial communities responsible for biogeochemical cycling and long-term carbon storage. Despite their global ecological significance, accurately quantifying and predicting carbon sequestration in mangrove systems remains challenging due to the complex interactions between microbial diversity, sediment chemistry, and environmental drivers. This study presents a comprehensive and sustainable artificial intelligence …
Published in Research and Reviews : Journal of Computational Biology · Vol. 15, Issue 1, 2026 Read article