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731 articles for “extraction methods”
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A New Developed Hydrogen Generator for Hydrogen Electric Vehicle
Abstract: Hydrogen practically does not occur in its pure form on Earth and must be extracted from other compounds using various chemical methods. There are currently many methods of industrial hydrogen production, which include: steam reforming of methane and natural gas; coal gasification; biotechnology; water electrolysis. Hydrogen production by water electrolysis has a number of advantages over other methods, including: availability of available raw materials (water); a wide range of hourly …
Published in Recent Trends in Fluid Mechanics · Vol. 10, Issue 1, 2023 · pp. 1–13 Read article
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Comparison of Nested PCR and Real Time PCR of Herpes Simplex Virus Infection in Encephalitis Cases
Abstract: Introduction: Herpes simplex virus (HSV) causes a wide spectrum of clinical manifestations in the central nervous system (CNS). Presently, the development of effective antiviral therapy has resulted in an increased need for the rapid and sensitive diagnosis of HSV infections. Aims: To evaluate the usefulness of real-time PCR for diagnosing HSV encephalitis (HSE), we prospectively compared results of real-time PCR and nested PCR, using clinical samples. Methods and Material: viral …
Published in Research and Reviews: A Journal of Microbiology and Virology · Vol. 8, Issue 3, 2018 · pp. 34–36 Read article
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Antibacterial, Cytotoxicity Studies of Azukia mungo (L.) Masam and Correlation with in silico Docking Studies
Abstract: Introduction and Background: Azukia genus plants rich in proteinaceous anti-nutrients like tannins (especially condensed tannins) has been shown to have anti-bacterial activity against Staphylococcus aureus and antineoplastic activity against lung and liver cancer cells. Five types of procyanidins (condensed tannins) have already been isolated from Azukia mungo and structurally elucidated. But its activity against the Methicillin resistant Staphylococcus aureus (MRSA) has not yet been shown. Hence we focus our work …
Published in Research and Reviews: A Journal of Toxicology · Vol. 7, Issue 2, 2017 · pp. 21–31 Read article
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Real Time Analysis of Twitter Data
Abstract: In last two decades, big data has emerged as one of the most trending fields of research. In today’s world, every minute, huge amount of structured and unstructured data is produced via various platforms. This data includes texts, images, and forums gathered from social media platforms. This increasing data implies a fundamental change in the way we analyze data since it is unable to analyze data using conventional methodologies and …
Published in Current Trends in Information Technology · Vol. 6, Issue 1, 2016 · pp. 6–14 Read article
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Unoccupied Floor Extraction in Autonomous Mobile Robot Navigation
Abstract: AbstractConsidering the today’s atomization need, autonomous mobile robot navigation and arena exploration becomes most substantial research area. The majority of navigational issues are robot localization, on floor objects localization, deciding strategy for navigation. This paper address the method used to explore empty floor detection implemented on raspberry pi 3 which assistances autonomous mobile robot in terms of localization during safe navigation. The literature shows most of the localization algorithms uses …
Published in Journal of Electronic Design Technology · Vol. 8, Issue 2, 2017 · pp. 41–44 Read article
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Study of Applications of Artificial Intelligence in Nuclear and Particle Physics
Abstract: Abstract This article explains the main concepts of the artificial intelligence, focusing on its history, its types and applications in Nuclear & Particle Physics. Deep learning method employs nonlinear functions to adjust the weight of the data wanted from the data background. By extracting meaningful data and fitting its shape with parameterized functions, deep learning method can capture main rules of the rude data, and make reliable predictions based on …
Published in Journal of Nuclear Engineering & Technology · Vol. 9, Issue 1, 2019 · pp. 29–33 Read article
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Improved Melanoma Recognition using Score Fusion Framework based on Deep Classifiers
Abstract: Melanoma is a fast-growing and malignant cancer that affects neural crest-derived cells of the skin. Early detection is the key to survival and rapid recovery; however, typical diagnosis is based on visual inspection by expert dermatologists. Many melanoma recognition methods have been proposed in the literature that can classify lesions, based on hand-crafted as well as deep learning-based features. However, an accurate, automated method for melanoma is still required. This …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 8, Issue 2, 2021 · pp. 25–33 Read article
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Timestamp Extraction and Log Classification Using Supervised Machine Learning: A Comparative Study
Abstract: In modern software systems, logs are vital for monitoring application behavior, diagnosing issues, and analyzing performance. Timestamps are especially important for sequencing events, identifying anomalies, and understanding system failures. However, detecting timestamps in logs is challenging due to inconsistent formatting across systems and the presence of timestamp-like strings in non-timestamp fields. Traditional rule-based methods often fail in such cases. This study proposes a supervised machine learning approach to accurately classify …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 12, Issue 3, 2025 · pp. 26–38 Read article
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Synthesis, Characterization, and Biomedical Applications of a Silver Nanoparticle-Coated Chitosan–Fucoidan–Polymer Nanocomposite Loaded with Persea americana Leaf Extract
Abstract: Consuming a natural composite of Persea americana (Avocado) leaf extract and a chitosan and fucoidan form a biodegradable biopolymer matrix–polymer nanocomposite with biomedical applications, this study explored a potential therapeutic method. GC–MS and UV spectroscopy were used to describe the aqueous leaf extract, which was verified by phytochemical screening to contain flavonoids, tannins, phenols, terpenoids, and alkaloids. The chitosan–fucoidan biodegradable polymer matrix served as a biocompatible stabilizing and encapsulating carrier …
Published in Journal of Polymer & Composites · Vol. 14, Issue 5, 2026 · pp. 130–148 Read article
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Review on Phytochemicals as Novel Therapeutic Strategies for the Treatment of Diabetes
Abstract: Diabetes is a worldwide concern. People are suffering from different variants of diabetes in the world, of which Type-1 and Type-2 diabetes are very common in the globe. In labor, gestational diabetes affects many ladies. Some other types of diabetes occur due to genetic changes and problems in pancreatic activity. Numerous Indians suffer from type-2 diabetes. Three diagnosis methods are employed for the detection of diabetes. The alteration in activity …
Published in Research & Reviews: A Journal of Drug Formulation, Development and Production · Vol. 9, Issue 2, 2022 · pp. 1–8 Read article
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A Study of the Antibacterial Effect of Euphorbia hirta L. Bud Extracts against Escherichia coli
Abstract: Methanol, ethanol, dimethyl sulfoxide and Aqueous extracts of buds of Euphorbia hirta L. have been evaluated for antibacterial effect against Escherichia coli. Antibacterial effect examined by disc diffusion method. Maximum in vitro inhibition was scored in methanol or aqueous extracts of bud of Euphorbia hirta L. which showed inhibition diameter of 20 mm against Escherichia coli, followed by dimethyl sulfoxide extract of the same plant leaf with inhibition diameter of …
Published in Research and Reviews : A Journal of Biotechnology · Vol. 6, Issue 3, 2016 · pp. 6–9 Read article
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Study of Coke-oven Gas Desulphurization and Methods to Improve Sulphur Quality
Abstract: The coke-oven gas has high calorific value and can be used for the burning process. The coke-oven gas coming out from the coke-oven department contains impurities like Sulphur, Ammonia, Tar, and Naphthalene. Sulphur is the major impurity; it is very harmful and poisonous to the environment. So the removal of sulphur plays an important role in the purification of coke-oven gas. The sulphur extraction can be done by absorption using …
Published in Journal of Modern Chemistry & Chemical Technology · Vol. 2, Issue 2, 2011 · pp. 16–23 Read article
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Natural Products: A Prospective Tactic to Unite Nature and Disease
Abstract: The most primitive and effective method from pre-historic time to heal injuries, cure disease and relieve suffering; is treatment with the help of plants extract. Resistance to anti microbial agents has lead to treatment failure and the shift of medical care from orthodox to herbal medicine. Most of the herbal medicines in use await validation of their claimed effects and possibly the development of novel antimicrobial drugs from them. Every …
Published in Research and Reviews : A Journal of Biotechnology · Vol. 5, Issue 3, 2015 · pp. 35–38 Read article
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Anti-tuberculosis Effects of the Extracts from Humulus japonicus and Humulus lupulus in in vitro and ex-vivo TB Models
Abstract: AbstractObjectives: Anti-tuberculosis effects of Humulus japonicus and Humulus lupulus were evaluated in in vitro direct killing ability and in ex-vivo indirect killing ability through human macrophages. Methods: H37Rv or XDR strain or NTM was treated with Crude extracts of Humulus japonicas and Humulus lupulus to estimate the MIC(Minimal Inhibitory Concentration) or MKC(Minimal Killing Concentration). Results: The MIC or MKC of the extracts of Humulus japonicus was 31.2 µg/ml for H37Rv …
Published in Research & Reviews: A Journal of Drug Formulation, Development and Production · Vol. 9, Issue 3, 2022 · pp. 40–49 Read article
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Image Reconstruction of Noisy Distorted Images Using Deep Learning Methods: A Review
Abstract: AbstractThe field of digital image processing deals not only with the extraction of features and analysis of images but also restoration of images. Image restoration is one of the basic steps of processing that deals with making certain improvements in a digital image based on some predefined criteria. A deep learning architecture for image restoration that attains statistically significant improvements over traditional algorithms is Poisson image de-noising, especially when the …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 7, Issue 3, 2020 · pp. 21–25 Read article
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Image Segmentation based on Region Merging using Breadth-First Search
Abstract: This paper proposed a new method for image segmentation based on region merging using breadth-first search (BFS). The image can be partitioned into multiple segments so that meaningful information is extracted out and then image is analyzed easily. In the proposed method, first the oversegmented image is obtained by applying a standard watershed transformation on original image. Then BFS is executed on the oversegmented image to obtain a segmented image. …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 1, Issue 1, 2014 · pp. 20–25 Read article
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Segmentation Methods for Images: A Systematic Review
Abstract: Image segmentation is the initial operation in image processing and computer vision to extract a region of interest from a still image or a sequence of images (video). Segmentation is the key operation to perform a number of applications today. Different supervised and unsupervised evaluation methods have been used for segmentation for numerous applications, but still it is a challenging task to identify which method is more accurate. This paper …
Published in Journal of Remote Sensing & GIS · Vol. 4, Issue 3, 2013 · pp. 61–67 Read article
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Traffic Detection Algorithms Analysis using ML
Abstract: It is difficult to watch traffic on crowded roads. Traffic monitoring procedures are time-consuming, expensive, labor-intensive, and require human operators. The limited accessibility hindered the storing and processing of large-scale video streams. Nonetheless, it is now possible to employe video feeds from traffic monitoring systems for number plate recognition, object tracking, traffic behavior analysis, and surveillance. Static image recognition and vehicle identification in a traffic surveillance system are very useful …
Published in Trends in Machine design · Vol. 11, Issue 2, 2024 · pp. 1–8 Read article
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Survey of Predictive Models for Safe Route Predicting Using Machine Learning Techniques
Abstract: Safe route prediction is essential for the well-being and security of individuals in urban and rural environments. Machine learning techniques leverage historical data, real-time information, and algorithms to estimate the safety levels of different routes. The objective of safe route planning is to minimize risks, including crime-prone areas and accidents, reducing potential harm, property damage, and emotional distress. However, challenges arise from the complex and dynamic nature of urban environments, …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 11, Issue 1, 2024 · pp. 13–22 Read article
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Digital Elevation Model (DEM) Extraction using Google Earth and Terrain Zonum Solutions Online Tool
Abstract: Topographic data or DEM are commonly perceived as providing loaded information for various types of modeling. However, this information severely limited and most users rely on published topographic maps or DEM produced by government agencies. This paper proposes an alternative method of generating DEM by using online source of elevation data which is easier and free. Firstly, the location of the study area identified in Google Earth and marked using …
Published in Journal of Remote Sensing & GIS · Vol. 9, Issue 3, 2018 · pp. 23–29 Read article