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151 articles for “Extraction”
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Innovative Approaches to Reducing Data Traffic in IoT Networks Using Deep Learning and Compressive Sensing
Abstract: The exponential growth of internet of things (IoT) devices has posed unprecedented challenges in managing the massive data generated by real-time monitoring, automation, and analytics. Existing network infrastructures lack scalability, bandwidth, and suffer from latency problems, further making data transmission less efficient. This study surveys innovative approaches using deep learning and compressive sensing to reduce IoT data traffic. Deep learning is able to upgrade data processing by means of very …
Published in International Journal of Satellite Remote Sensing · Vol. 2, Issue 2, 2024 · pp. 46–62 Read article
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Realtime Life Cycle Assessment, Synthesizing Life Cycle Inventory with Business Process Management, Sustainable Growth in the Fourth Industrial Revolution
Abstract: A prevalent methodology for evaluating the ecological impacts of processes and products throughout their entire life cycle is known as Life Cycle Assessment (LCA). This approach involves scrutinizing each phase, encompassing the extraction of raw materials, manufacturing, utilization, and disposal. Nevertheless, conventional LCA methods often fail to account for the dynamic nature of industrial processes and are deficient in real-time data. The Life Cycle Inventory (LCI), a pivotal component of …
Published in International Journal of Industrial and Product Design Engineering · Vol. 2, Issue 2, 2024 · pp. 1–9 Read article
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The Therapeutic Potential of Nutraceutical in Diabetes Management: A Comprehensive Review
Abstract: Diabetes is a long-term and complex condition characterized by high blood sugar levels resulting from inadequate insulin production, ineffective insulin function, or a combination of both. Various nutraceuticals used in clinical settings have shown beneficial impacts on a range of biochemical and clinical markers related to diabetes. In many traditional medical systems, hypoglycemic agents derived from plants are used to treat, manage, and prevent diabetes mellitus. These plant extracts have …
Published in Emerging Trends in Metabolites · Vol. 2, Issue 1, 2025 · pp. 20–27 Read article
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A Sensitive SPE-ECD-GLC Procedure for Analyzing Simazine Quantitatively in Food Products
Abstract: Short and simple solid-phase extraction (SPE) method interfacing and hyphenating gas liquid chromatographic-electron capture detection (GLC-ECD) method has been developed for the qualification and quantification of simazine in some daily used agro products. United States Pharmacopeia G-42 gas chromatography stationary phase with ZB-35a, HTb Inferno-cZ (Zebron, Za) capillary column with an enlarged and extended temperature range of –60° to 400°C and electron capture detector was selected correlating some chemical, physical …
Published in International Journal of Biochemistry and Biomolecule Research · Vol. 3, Issue 1, 2025 · pp. 20–27 Read article
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A Review of Embodied Energy Strategies to reduce the carbon emissions in Sustainable Buildings
Abstract: Buildings in India account for almost one-fifth of the nation's carbon emissions, making it the third- largest carbon emitter globally. These emissions are expected to climb by 50% over the next 20 years, which is the biggest increase of any nation. You would have to go into a jungle to avoid concrete, steel, and aluminium since they are so common. Just these three substances are responsible for 23% of the …
Published in International Journal of Architectural Design and Planning · Vol. 3, Issue 1, 2025 · pp. 18–27 Read article
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Quinine: Past, Present, and Future Perspective in Malaria and Autoimmune Disorder
Abstract: Quinine, a natural alkaloid extracted from the bark of the cinchona tree, has traditionally played a key role in treating malaria, a disease caused by parasites of the Plasmodium genus. Since its discovery in the 17th century, quinine has evolved from a rudimentary treatment to an essential component of modern antimalarial therapies. This article explores the historical use of quinine in the fight against malaria, its role in current treatment …
Published in International Journal of Pathogens · Vol. 2, Issue 1, 2025 · pp. 24–33 Read article
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Data-driven Approaches to Mineral Resource Management Using AI: A Brief Review
Abstract: The role of Artificial Intelligence (AI) in the mineral resource sector has become increasingly significant over the past few years, as industries seek to optimize and modernize their operations. AI encompasses a variety of technologies and techniques, such as machine learning, deep learning, and expert systems, that are now widely used in mineral exploration, resource estimation, and mine management. These AI-driven approaches have brought about a transformative shift, enhancing efficiency, …
Published in International Journal of Minerals · Vol. 2, Issue 1, 2025 · pp. 25–29 Read article
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Image Processing and Deep CNN-based Automatic Liver Cancer Detection
Abstract: Liver cancer ranks among the leading causes of mortality for people worldwide. In the current situation, manually identifying the cancer tissue is a challenging and timeconsuming task. Treatment planning, response monitoring, tumor load assessment, and prediction are all made possible by the segmentation of liver lesions in CT scans. To address the current problem of liver cancer, the Hybridized Fully Convolutional Neural Network (HFCNN), which has been theoretically modeled, has …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 3, Issue 1, 2025 · pp. 39–41 Read article
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A Low Embodied Energy Approach for Early Design Decisions in Agritourism Centers in Pune
Abstract: Agritourism is an idea that empowers and trains the rural family, organization, or individual to generate alternative sources of income by transforming their traditional agricultural land into a tourist attraction. Agritourism is the practice of attracting visitors to an area used primarily for agricultural purposes. It could be described as – rural/agricultural environments + farm commodities + tourism services = agritourism. It gives visitors an experience to stay in a …
Published in International Journal of Rural and Regional Development · Vol. 3, Issue 1, 2025 · pp. 29–41 Read article
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Optimization and Structural Integrity of Truck Chassis Using Finite Element Analysis
Abstract: The chassis of a truck is a crucial component, and it acts as a framework for the body and other components of the truck. It must also be strong enough to withstand pressures like shock, twisting, vibration, and more. When building a chassis, having enough bending stiffness for better handling characteristics is just as important as strength. Deflection, maximum stress, and maximum equilateral stress are crucial design factors for the …
Published in International Journal of Advanced Control and System Engineering · Vol. 3, Issue 1, 2025 · pp. 31–37 Read article
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A Review of Machine Learning Applications in Web Data Mining
Abstract: The rapid development of Internet technology has resulted in a rapidly changing and intricate digital environment that requires new methods for organizing and evaluating online data. This study examines the use of machine learning (ML) in web data mining, focusing on its ability to extract relevant insights from huge amounts of online data. Web data mining, which is divided into three categories: content mining, structure mining, and use mining, uses …
Published in International Journal of Data Structure Studies · Vol. 3, Issue 1, 2025 · pp. 39–47 Read article
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Automated Suspicious Activity Detection in Video Surveillance Using Deep Learning: A Review
Abstract: In the current era of advanced security systems, video surveillance plays an essential role in ensuring safety by detecting suspicious activities. With the increase in real-time data, manual monitoring has become impractical, paving the way for automated surveillance systems utilizing machine learning (ML) and artificial intelligence (AI) technologies. This paper explores the integration of ML and AI models, specifically convolutional neural networks (CNNs) and long short-term memory (LSTM) networks, for …
Published in International Journal of Optical Innovations & Research · Vol. 3, Issue 1, 2025 · pp. 20–27 Read article
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Facial Emotion Detection and Its Applications
Abstract: Facial emotion detection (FED) is an interdisciplinary field that integrates artificial intelligence, computer vision, and machine learning to recognize and interpret human emotions based on facial expressions. The development of FED systems has been propelled by advancements in deep learning, particularly convolutional neural networks (CNNs) and recurrent neural networks (RNNs), which enhance recognition accuracy. Feature extraction techniques, including geometric and appearance-based methods, play a crucial role in classifying emotional states. …
Published in International Journal of Optical Innovations & Research · Vol. 3, Issue 1, 2025 · pp. 8–12 Read article
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The Silent Mineral: Structural Complexity and Industrial Utility of Natural Kaolin
Abstract: Kaolin, a naturally occurring aluminosilicate clay predominantly comprising the mineral kaolinite (Al₂Si₂O₅(OH)₄), exhibits a 1:1 layered silicate structure that imparts distinctive physicochemical properties suitable for extensive industrial utilization. Deposits of kaolin are broadly classified into primary (residual) and secondary (sedimentary) categories, each defined by their geological origin and mineralogical features. The industrial processing of kaolin encompasses stages such as raw material extraction, beneficiation, and purification, aiming to optimize parameters including …
Published in International Journal of Crystalline Materials · Vol. 2, Issue 1, 2025 · pp. 52–61 Read article
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Big Data in Chemistry: Problems and Answers
Abstract: The rapid growth of experimental and computational chemistry data, researchers now have access to vast datasets, presenting both significant opportunities and challenges. This paper explores the primary challenges associated with managing, processing, and utilizing big data in chemistry, including data heterogeneity, integration across various scales and systems, lack of standardized formats, and the need for advanced tools for data analysis. Additionally, the paper discusses the ethical concerns of data ownership, …
Published in International Journal of Cheminformatics · Vol. 2, Issue 1, 2024 · pp. 9–14 Read article
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First Insights into Whole Genome Sequencing of the Mycobacterium tuberculosis Complex: Molecular Diversity and Drug Susceptibility Patterns in Senegal
Abstract: Background: We conducted a bibliographic analysis of the Mycobacterium tuberculosis complex (MTBC) in sub-Saharan Africa, which included the analysis of 8,139 genomic sequences from 34 of the 49 sub-Saharan African countries. Notably, only one complete sequence from Senegal was identified, which had been generated in the United States. Our primary objective was to utilize whole genome sequencing (WGS) to detect resistance in anti-tuberculous strains of the MTBC in Senegal. This …
Published in Recent Trends in Infectious Diseases · Vol. 2, Issue 1, 2025 Read article
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Role of Generative AI in Redefining Data Analytics
Abstract: The rapid evolution of data-driven technologies has introduced both significant challenges and promising opportunities within the field of data analytics. Among the most impactful advancements is Generative Artificial Intelligence (Generative AI), a groundbreaking subset of AI that is reshaping how data is interpreted, generated, and utilized. Unlike traditional analytical tools that rely solely on existing data patterns, generative AI possesses the capability to create synthetic data, simulate complex scenarios, and …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 3, Issue 2, 2025 · pp. 01–07 Read article
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Eye Disease Classification Using K-means Clustering Algorithm and Ensemble Classification Approach
Abstract: In this study, we present a comprehensive approach for the classification of eye diseases, specifically targeting normal, cataract, glaucoma, and diabetic retinopathy conditions. This research uses a dataset from Kaggle, which provides a wide and varied collection of retinal images to ensure good representation. The methodology encompasses advanced image processing and machine learning techniques to ensure accurate diagnosis and prediction. The preprocessing phase involves a series of image enhancement techniques …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 3, Issue 2, 2025 · pp. 15–27 Read article
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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
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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 Read article