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372 articles for “Extraction process”
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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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Advanced Deep Learning Techniques for Sickle Cell Anaemia Detection
Abstract: Sickle Cell Anemia (SCA) is a prevalent genetic blood disorder characterized by the presence of abnormal hemoglobin, resulting in the distinctive sickle shape of red blood cells. Timely and accurate identification of Sickle Cell Anemia (SCA) is essential for effective management and treatment. This study presents a new method that utilizes Convolutional Neural Networks (CNNs), a deep learning model particularly effective for image analysis. The process involves using microscopic images …
Published in Research and Reviews: A Journal of Medicine · Vol. 14, Issue 3, 2024 · pp. 9–15 Read article
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Car License Plate Detection and Recognition using Morphological Image Processing and Template Matching
Abstract: This study presents a robust method for vehicle number plate detection and identification. It mostly consists of three stages: plate extraction, plate number separation, and number recognition. Morphological operation is used to extract plate and numbers, whereas template matching is used to recognize the extracted number images. After that, it looks into a predefined dataset to decide if the number is licensed. Being independent of plate size, color and illumination …
Published in Journal of Computer Technology & Applications · Vol. 11, Issue 1, 2020 · pp. 21–27 Read article
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Rheological Studies of a Cross-Linked Polymer Gel System
Abstract: The petroleum accumulations are found associated with water and it is rarely obtained without accompanying water production. Water production is a major technical, environmental, and economic challenge associated with oil and gas extraction. Rheological findings are of fundamental importance for the development, manufacture and processing of innumerable products. Polymeric gels exhibit a wide range of rheological properties and they are stable both mechanically and thermally in most cases thus are …
Published in Journal of Petroleum Engineering & Technology · Vol. 16, Issue 2, 2026 · pp. 13–26 Read article
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A Deep Survey on Techniques Used to Recognize Locust Based on CNN
Abstract: The major threat in agriculture is insect pests and crop disease. Outbreaks and upsurges of insects can cause huge loss to crop production. Locusts are crop devouring pests found in many parts of the world. Recognition of locusts in early stage helps to prevent the spread of locusts by taking appropriate counter-measures and biological control methods. Initially, locusts were classified and recognized manually which is time consuming and requires taxonomic …
Published in Journal of Computer Technology & Applications · Vol. 12, Issue 1, 2021 · pp. 1–8 Read article
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Prospects of Shale gas in India verses Global Scenario and Future of Plasma Pulse Technology
Abstract: Conventional sources are expensive, polluting and limited by its reserves so, it will not be able to meet the demand of a country which is increasing continuously. This concern triggered the scramble to secure long term oil supplies and shown their reliance on the unconventional resources. Shale gas is natural gas trapped in the shale formation with organic rich content of methane. Huge reserves have been found in United States, …
Published in Journal of Petroleum Engineering & Technology · Vol. 6, Issue 2, 2016 · pp. 35–43 Read article
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The theoretical study of behavior of the gas bubble, fixed on the surface of a solid material, under simultaneous changes of the surface tension on the border section of the phases of the fluid-gas and contact angle
Abstract: In the practice of ore and particular coal flotation, the injection of oils (nonpolar reagents) into the flotation pulp intensifies the process of the flotation, separation of the particles of different minerals, and contributes of extraction into the foam product considerably of the larger and heavier particles, no floating before. However, conducted studies to present time do not permit to explain significant strengthening of contact between the bubble and the …
Published in Emerging Trends in Chemical Engineering · Vol. 6, Issue 3, 2019 · pp. 17–28 Read article
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Experimental Investigation of Water Absorption and Mechanical Behavior of Bamboo Fiber Based Polymer Composites
Abstract: The objective of this research is to assess the suitability of bamboo fibers as a sustainable alternative to synthetic and wood fibers for reinforcing polymer composites. Plant-based fibers, particularly bamboo, offer advantages such as biodegradability, lightweight nature, abundance, and impressive mechanical properties that rival or surpass those of conventional materials. In this study, special focus is placed on the extraction of long fibers from Dendrocalamus giganteus, using a combined mechanical …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1471–1481 Read article
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Crop Yield Prediction Using Machine Learning Algorithm Based on Climate Variables
Abstract: India's economy is based primarily on agriculture, as over 50% of the country's population depends on it for their livelihood. The long-term viability of agriculture is seriously threatened by variations in the weather, climate, and other environmental factors. Because machine learning provides tools for decision assistance in agricultural yield prediction, including guidance on which crops to plant and when to plant them during the growing season, it is essential to …
Published in International Journal of Cheminformatics · Vol. 1, Issue 2, 2023 · pp. 49–52 Read article
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Development and Evaluation of Medicated Mouth Wash
Abstract: The present invention is to formulate and evaluate a novel medicated mouth rinse using Achyranthes aspera extract in an oil-based formulation. The herb Achyranthes aspera, which has long been used for medicinal purposes, was chosen because of its purported anti-inflammatory and antibacterial qualities. This study aimed to create a safe, effective, and pleasant-tasting mouth rinse to maintain oral hygiene and address common oral health issues. Achyranthes aspera’s bioactive components were …
Published in Research & Reviews : Journal of Herbal Science · Vol. 15, Issue 1, 2026 · pp. 21–30 Read article
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Traffic Density Estimation Using Image Frames in Python
Abstract: Traffic congestion is a critical challenge in modern urban environments, leading to significant delays, environmental pollution, and increased accident rates. With the rapid growth of vehicle populations in metropolitan areas worldwide, the need for intelligent and automated traffic monitoring systems has become increasingly urgent. Traditional monitoring approaches, such as inductive loop detectors and manual surveillance, are limited in scalability, deployment cost, and adaptability to dynamic traffic scenarios. This paper presents …
Published in Trends in Transport Engineering and Applications · Vol. 13, Issue 2, 2026 · pp. 38–45 Read article
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The Developed System of Continuous Utilization of Carbon Dioxide, Enrichment of the Atmosphere with Oxygen and Production of Biofuel Using the Resulting Concentrate of Rapidly Multiplying Microalgae
Abstract: It is known that microorganisms, such as microalgae, during photosynthesis utilize carbon dioxide and enrich the atmosphere with oxygen. Microalgae, on the other hand, can be converted into biofuels by extracting fatty acids from macromolecules known as lipids. Recovery of this fatty acid traditionally requires the removal of most of the water from the microalgae resulting in biomass slurry. The method developed earlier permitted to obtain a high-quality concentrate of …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 13, Issue 2, 2022 · pp. 10–20 Read article
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Effect of Bacteria on Crude Oil Degradation in Loamy and Clay Soil for Water and Ethanol Biostimulant Extraction from Bryophylum pinnatum Leaf
Abstract: The effect of bacteria on crude oil degradation in loamy and clay soil for water and ethanol biostimulant extraction from Bryophylum pinnatum leaf was investigated to ascertain the potential of the bacteria counts in the bioreactors sampled. At the progressive phase, the bacteria counts were more with bioreactors induced with ethanol solvent extract as the volume of the dosage increases compared to the bioreactors induced with the water extract. The …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 14, Issue 2, 2025 · pp. 19–25 Read article
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Real-Time Deepfake Detection in Video Conferencing Systems
Abstract: Deepfake technology presents non-exemplary threats to video conferencing platforms, enabling advanced fraud, impression and misinformation campaigns worth billions annually. Current detection methods either exhibit latencies exceeding 100ms or rely on server-side cloud processing, raising privacy concerns. This paper presents DeepConfGuard, a lightweight hybrid architecture combining MobileNetV2 for spatial feature extraction, a bidirectional LSTM with attention for temporal modelling, and EfficientNetV2 for refinement. It reaches 94.8% accuracy with 85 ms end‑to‑end …
Published in International Journal of Electronics Automation · Vol. 4, Issue 2, 2026 Read article
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Adoption to Big Data Analytics: Privacy Issues and Integration of PPDM to overcome it
Abstract: AbstractIn this emerging era of technology, the amount of data being generated is massive. To deal with such a huge amount of data, development of big data analytics to extract valuable information for making marketing decision is gaining popularity. This data can be either structured, semi-structured or unstructured, so it is very difficult to process such rapidly growing and changing data with the conventional database techniques. As big data is …
Published in Journal of Computer Technology & Applications · Vol. 8, Issue 2, 2017 · pp. 33–38 Read article
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A Review of Automated Pomegranate Disease Detection and Classification Using Machine Learning
Abstract: The abstract outlines a research study focused on developing an automated system for detecting and classifying diseases that affect pomegranate fruits. Pomegranates, like many other crops, are vulnerable to several types of diseases that appear as visible colored spots on the fruit’s surface. These visible symptoms, such as lesions or discoloration, can significantly impact the fruit’s quality, market value, and yield. Therefore, timely and accurate identification of such diseases is …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 13, Issue 1, 2026 · pp. 01–13 Read article
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Bias Detection and Accuracy Enhancement in Voice-based Banking Authentication Using Deep Learning
Abstract: Biometric systems have become an integral part of how many people access banking services today, and voice verification systems can be a secure and easy-to-use source of banking authentication that does not require any physical contact with the bank or any other person. From the security perspective, these systems would normally provide an effective means of identifying an individual but frequently exhibit bias with respect to demographics such as the …
Published in International Journal of Information Security Engineering · Vol. 4, Issue 2, 2026 Read article
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Enhancement of Electrical Conductivity of Laterite Derived Ferric Oxide to Facilitate As Anode Materials
Abstract: Laterite is a mineral abundant in ferric oxide and various impurities, including aluminum oxide and silicon dioxide. The extraction of ferric oxide from laterite is accomplished through a cost-effective leaching process employing HCl, NaOH, and Sodium dodecyl sulfate (SDS). Characterization using Xray diffraction (XRD) confirmed the synthesized particles to be α-Hematite nano particles, with an average particle size of 94.21 nm, predominantly falling within the range of 90 nm to …
Published in Journal of Materials & Metallurgical Engineering · Vol. 13, Issue 3, 2023 · pp. 1–11 Read article
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Harnessing Marine Byproducts and Optimization of Biopolymer Extraction Quality Using Response Surface Methodology and Study of Its Physicochemical Properties
Abstract: Chitosan, a versatile biopolymer derived from chitin, holds immense potential across various industries owing to its antimicrobial, antioxidant, and biocompatible properties. This study aims to optimize the deacetylation process of chitin, sourced from shrimp shells, using Response Surface Methodology (RSM) to produce high-quality chitosan. The Box-Behnken Design (BBD) was employed to evaluate the effects of temperature, time, and alkali concentration on the degree of deacetylation (DD%), a key determinant of …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 125–139 Read article
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Pneumonia Identification Using Explainable Artificial Intelligence
Abstract: Pneumonia, including tuberculosis (TB), remains one of the leading causes of death worldwide, especially in regions where access to healthcare is limited. Early and accurate diagnosis is critical for effective treatment and better patient outcomes, but traditional methods are time-consuming and require specialized expertise. This study explores the use of advanced deep learning models VGG16, VGG19, and ResNet50 to detect pneumonia and TB from chest X-ray images. By leveraging transfer …
Published in Journal of Advanced Database Management & Systems · Vol. 12, Issue 3, 2025 · pp. 01–11 Read article