Search
1506 articles for “extractant”
-
Efficient Clustering Techniques for Data Stream Mining
Abstract: Data mining mainly works on a massive database for storing heavy amount of data. It is generally essential for extracting the meaning insights from the massive, continuously growing database. The traditional method often struggles with sheer volume and the dynamic nature of the modern data. Data stream mining allows for the real-time analysis, means insights are generated as the data arrives, and not after the long batch process. This continuous …
Published in Recent Trends in Parallel Computing · Vol. 12, Issue 2, 2025 · pp. 26–32 Read article
-
Deep Learning Architectures for Predictive Modeling in Financial Time Series
Abstract: This study investigates the application of deep learning architectures, particularly convolutional neural networks (CNNs), to the challenging task of financial time series forecasting. Financial markets are inherently complex and influenced by a range of factors, making accurate prediction of price movements a difficult problem. In this research, historical financial data including stock prices, volumes, and other relevant indicators are used to train CNN models aimed at capturing the underlying patterns …
Published in Current Trends in Signal Processing · Vol. 15, Issue 3, 2025 · pp. 45–55 Read article
-
Estimation of Soil Erosion Using GIS in Pune District, Maharashtra
Abstract: The Varandha Ghats pans approximately 14.62 km 2 , where changes in temperature, vegetation, topography, and soil characteristics are causing continuous soil erosion. Catchment heterogeneity and climatic variations cause spatial variability in hydrological processes. Differences in land use, soil type, topography, and rainfall patterns influence how water moves and accumulates across regions, resulting in diverse hydrological responses. This complexity challenges accurate modeling and effective water resource management strategies across variable …
Published in Journal of Remote Sensing & GIS · Vol. 16, Issue 2, 2025 · pp. 26–33 Read article
-
A Systematic Review on Leukemia Detection and Classification Techniques Using Gene Expression
Abstract: Early diagnosis of genetic diseases is crucial for effective treatment, especially in the case of Leukemia, a type of blood cancer characterized by abnormal proliferation of white blood cells. This paper presents a systematic review of recent computational techniques for the detection and classification of Leukemia using gene expression data obtained from DNA microarray analysis. The study explores diverse methodologies including machine learning (ML), deep learning (DL), and bio-inspired algorithms …
Published in International Journal of Genetic Modifications and Recombinations · Vol. 3, Issue 2, 2025 Read article
-
Aquaculture Advancements Through Bioactive Molecules
Abstract: A wide range of seafood species – including fish, shellfish, squid, and bivalves – generate by-products that are often discarded as waste. However, these by-products hold great potential for developing innovative functional food products. Because there is limited opportunity to recycle natural resources, the loss of profit may be accompanied by the loss of ecological sustainability, given that the “wastes” of industrial processing can account for up to 75% of …
Published in International Journal of Marine Life · Vol. 2, Issue 2, 2025 · pp. 1–5 Read article
-
Formulation of Natural Hair Dye by Using Natural Herbs and Their Characterization
Abstract: The development of herbal hair dyes using natural herbs offers a safer alternative to chemical-based hair coloring products. This study investigates the development of a herbal hair dye formulated from a blend of natural ingredients renowned for their hair care benefits. The selected herbs include black catechu, henna, indigo, bhringraj, aloe-vera, amla, jatamansi, black cumin seeds, charcoal, alkanet root and extract of black tea, pomegranate & logwood. These herbs were …
Published in Research & Reviews: A Journal of Pharmacognosy · Vol. 12, Issue 3, 2025 · pp. 08–16 Read article
-
Ai-Driven Healthcare System for Enhanced Diagnosis and Patient Interaction
Abstract: Deep learning techniques are used in an AI-driven healthcare system to improve disease identification and medical picture analysis. Data collection, preprocessing, model training, and evaluation are all part of the system's systematic workflow. Various deep learning architectures, such as ResNet50, VGG-16, and U-Net, are employed for precise classification and segmentation of medical images. The approach incorporates advanced techniques such as optimization, transfer learning, and data augmentation to significantly enhance the …
Published in Research and Reviews: A Journal of Health Professions · Vol. 15, Issue 2, 2025 Read article
-
Application of Convolutional Neural Networks in Design of Efficient Pipe Flow System
Abstract: Convolutional Neural Networks exhibit remarkable capabilities in flow pattern recognition, pressure drop prediction, leak detection, and system optimization through their ability to process complex spatial and temporal data patterns. The study examines CNN architectures specifically adapted for fluid dynamics applications, including data preprocessing techniques, feature extraction methods, and performance optimization strategies. Key applications include real-time flow monitoring, predictive maintenance, design parameter optimization, and anomaly detection in pipe networks. Comparative analysis …
Published in Recent Trends in Fluid Mechanics · Vol. 12, Issue 3, 2025 · pp. 1–9 Read article
-
Polymer Chemistry in Sustained-Release Herbal Composites: Designing a Stable Euphorbia tithymaloides Topical System with Phospholipid and Polymer Matrices
Abstract: Polymer chemistry enables the stabilization and sustained release of herbal actives, critical for topical therapeutic applications. This study explores a novel process for preparing a stable, sustained-release topical composition of Euphorbia tithymaloides, leveraging polymer-based systems. Ethanolic extract (50 mg) of the plant, rich in unstable sugar moieties (e.g., D-ribose) and sterols (e.g., stigmasterol), is encapsulated within a phospholipid matrix of phosphatidylcholine (50–100 mg) and cholesterol (50–100 mg). This lipid-polymer complex, …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 165–171 Read article
-
A Brief Review on the Mechanical and Physical Properties of Abaca Fiber- Reinforced Polymer Composites
Abstract: Recent studies have seen a surge of interest has surged in the sustainability and long-term enduring viability of composites of natural fiber-reinforced polymers. Owing to their elevated specific strength, they are often used in practical physical applications to produce lightweight components. This article reviews and studies the properties, manufacturing processes, and extraction methods of Abaca fiber. Additionally, it provides a brief overview of the preparation and properties, such as mechanical …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 622–634 Read article
-
Fake Product Detection Using Convolutional Neural Networks
Abstract: The widespread circulation of counterfeit products in global markets presents a significant threat to both consumer trust and the integrity of established brands. With the advancement of artificial intelligence, particularly deep learning, there is growing potential to develop more sophisticated systems to combat this issue. This study introduces a novel counterfeit detection framework using the VGG16 Convolutional Neural Network (CNN) to distinguish between authentic and counterfeit products through image analysis. …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 3, Issue 2, 2025 · pp. 08–15 Read article
-
AI-Based Sentiment Analysis of Public Perception Under Bangabandhu Sheikh Mujibur Rahman
Abstract: Sheikh Mujibur Rahman, known as Bangabandhu, played a pivotal role in Bangladesh’s post-liberation period (1971–1975). Understanding public sentiment during his leadership is crucial for historical analysis. This study employs Artificial Intelligence (AI)-based Sentiment Analysis to examine public perception through archived newspapers, parliamentary speeches, and historical records. Using Natural Language Processing (NLP) techniques, including sentiment classification and opinion mining, we analyze textual data to assess the prevailing public mood during his …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 3, Issue 2, 2025 · pp. 21–29 Read article
-
Retrieval Augmented Generation for Question Answering in Financial Documents
Abstract: In recent years, the integration of Question Answering (QA) with the Retrieval Augmented Generation (RAG) system has transformed to interact with numerous documents. It uses Natural Language Processing (NLP) techniques to improve accuracy and relevant responses derived from huge documents. RAG integrates the advantages of the retrieval and generation process, which allows systems to generate natural responses and extract context from multiple sources. The main reason to use RAG is …
Published in Journal of Advanced Database Management & Systems · Vol. 12, Issue 2, 2025 · pp. 62–68 Read article
-
Troubleshooting CSS: Common Issues and Effective Solutions for Web Development
Abstract: Many modern websites suffer from bloated and ineffective stylesheets, despite the fact that CSS is crucial for user experience and web performance. The effects of CSS optimization strategies, including minification, modularization, critical CSS extraction, lazy loading, and unused rule elimination, are simulated and assessed in this study on four representative web platform types: news portals, e-learning platforms, e-commerce sites, and SaaS dashboards. Using a controlled experimental environment and common auditing …
Published in Journal of Web Engineering & Technology · Vol. 12, Issue 3, 2025 · pp. 44–57 Read article
-
Text to Flowchart Convertor
Abstract: With the advancement artificial intelligence tools and software, we can now transform process text into a proper formatted flowchart. This research work mainly focuses on how advancement of technologies has enabled to save time and energy by creating a structured understandable flowchart instead of merely presenting text, thereby converting process text into flowchart. Use of natural language processing (NLP) and libraries of JavaScript has led to easy transformation of text …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 12, Issue 3, 2025 · pp. 18–25 Read article
-
A Comprehensive Survey on Detection of Video Transitions
Abstract: Video shot boundary detection (SBD) is a fundamental task in the field of video processing and analysis. It plays a critical role in various video applications such as content-based video retrieval, video indexing, editing, summarization, and browsing. Identifying shot boundaries helps segment a continuous video stream into distinct shots, each representing a meaningful visual unit. This segmentation is essential for organizing and interpreting video data efficiently. This study provides an …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 12, Issue 3, 2025 · pp. 17–26 Read article
-
Value Addition to Odisha's Bauxite Reserves: Developing Sustainable Alumina Production Technologies
Abstract: Odisha, home to one of the largest bauxite reserves in India, is a critical hub for the country’s aluminium industry. The extraction and processing of bauxite into alumina, however, pose significant environmental challenges, necessitating the adoption of sustainable technologies. With growing global emphasis on green practices and stringent environmental regulations, the alumina industry must innovate to balance economic growth with ecological responsibility. This study explores the latest advancements in sustainable …
Published in Journal of Thermal Engineering and Applications · Vol. 12, Issue 3, 2025 · pp. 30–36 Read article
-
Preparation of Methyl Esters of Solid Acids from Litsea Consimilis
Abstract: This study focuses on the extraction and characterization of fatty acids from the seed oil of Litsea consimilis and their subsequent conversion into methyl esters. The oil demonstrated high iodine and Reichert-Meissl values, indicating a significant content of unsaturated and short-chain fatty acids. Glyceride analysis revealed that trilaurin constitutes over 90% of the triglycerides, confirmed through melting point analysis and hydrolysis yielding lauric acid as the sole component. The oil …
Published in Journal of Modern Chemistry & Chemical Technology · Vol. 16, Issue 2, 2025 · pp. 129–134 Read article
-
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
-
AI Approaches in Gait and Posture Analysis: A Review
Abstract: This review synthesizes current research on the application of artificial intelligence (AI) in gait and posture analysis, focusing on methodologies, algorithms, and clinical applications. It examines the use of machine learning (ML) and deep learning (DL) techniques to extract relevant features from sensorderived data, offering objective, and automated assessments that surpass traditional methods. A systematic literature review was conducted, analyzing studies that utilized AI for gait and posture analysis with …
Published in Research and Reviews : Journal of Computational Biology · Vol. 14, Issue 3, 2025 · pp. 1–3 Read article