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43 results for “Conventional Extraction”
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Research ArticleOpen accessIn the abstractEnhancing Brain MR Image Quality Using CNN With Best Denoising Modality for Improved Diagnosis of Abnormality: An AppraisalKavery Verma, Subodh Srivastava, Ritesh Kumar MishraDigital medical images acquired from the brain are highly susceptible to noise, which causes significant challenges for radiologists to identify abnormalities in a precise manner. Noise interference hampers both diagnostic accuracy and the interpretation of underlying abnormalities, potentially leading to flaw conclusions. Magnetic Resonance (MR) imaging is the most preferred digital imaging technique for brain abnormality detection. To achieve precise … …Journal of Computer Science, Vol. 22, Issue 3 · 26 Mar 2026 · 1,462 accessesView PDFCite
Research ArticleOpen accessIn the abstractHybrid Deep Learning for Kidney Stone Detection in CT Scans With Noise Reduction and Feature EnhancementU. M. Fernandes Dimlo, Sreenu Banoth, Priti Bihade et al.The identification of kidney stones using CT scans is an essential but difficult effort in medical diagnostics, frequently obstructed by imaging noise and the complexity of manual interpretation. Although conventional methods are widely used, they suffer from inaccuracies and inefficiencies, necessitating the development of automated diagnostic solutions. This study tackles these issues by presenting HDCNRNet, a hybrid deep learning network … …Journal of Computer Science, Vol. 22, Issue 3 · 10 Mar 2026 · 2,161 accessesView PDFCite
Research ArticleOpen accessIn the abstractTomato Leaf Disease Detection by Hybrid Ai and Ml TechnologyP. Loganathan, M. John Britto, Vinston RajaDiseases that affect plants contribute to productivity decline, but they can be managed with ongoing monitoring. It is time-consuming and prone to error to track plant diseases manually. Early disease detection using Artificial Intelligence (AI) and machine vision can lessen negative impacts while also overcoming some of the limitations of continuous human monitoring. Therefore, this study uses both Deep Learning … …Journal of Computer Science, Vol. 21, Issue 12 · 12 Feb 2026 · 1,881 accessesView PDFCite
Research ArticleOpen accessIn the abstractEnhancing Electric Vehicle Charging Demand Prediction Using a Novel SAE-DNN Neural Network Model for Probabilistic ForecastingNaga Raju Hari Manikyam, A. Thangam, J. Murugachandravel et al.The rapid growth and widespread adoption of Electric Vehicles (EVs) play a crucial role in the progress of intelligent transportation systems, resulting in a significant decrease in environmentally damaging greenhouse gas emissions. The increase in EV usage has made it crucial to develop charging infrastructure to keep up with the growing demand. Precisely predicting EV charging demand is crucial to … …Journal of Computer Science, Vol. 21, Issue 10 · 11 Dec 2025 · 3,536 accessesView PDFCite
Research ArticleOpen accessIn the abstractScreening of Bioactive Constituents from the Aerial Parts of Dictamnus dasycarpus Turcz. With Antioxidant, Immunoenhancing, and Anticoagulant PotentialJiaqi Sun, Shiyu Ji et al.The cultivation of Dictamnus dasycarpus Turcz (DdT) is expensive and difficulty associated with growing, making its root bark the only commonly used medicinal part, while other parts are discarded. Therefore, in order to improve the limited utilization of resources, the new medicinal parts were screened from polysaccharide-rich aqueous extracts. The samples were the purified polysaccharides from the aerial part on … …American Journal of Biochemistry and Biotechnology, Vol. 21, Issue 2 · 9 Oct 2025 · 2,018 accessesView PDFCite
Research ArticleOpen accessIn the abstractImprovements on Semi Critical Assisted-Solvent Extraction of Biocrude Oil from Spirogyra. sp Macro AlgaeTulio Chavez-Gil, Hany F. Sobhi, Alexis Pacheco-LaracuenteHere, we report on an improved chemical method to extract hydrocarbons (CH) and Fatty Acid Methyl Esters (FAME) from wild green macro algae, which is higher than that carried out with conventional Soxhlet (Sx) and similar to that of Subcritical (SbC) or supercritical fluid (SCE) extraction methods. Crude oil plus residual biomass gave combined calorific values of 49.05 MJ/kg in … …American Journal of Biochemistry and Biotechnology, Vol. 14, Issue 2 · 18 Apr 2018 · 10,083 accessesView PDFCite
Research ArticleOpen accessIn the abstractExperimental Investigation of Limonene-based Environmental-Friendly Emulsion Drilling MudOlaitan Oluwaseum Micheal, Orodu Oyinkepreye David, Ehinmowo Adegboyega BoluThe use of emulsion drilling mud in the oil and gas industry has gained wide acceptance. However, the disposal of drill cuttings and the waste of such emulsion drilling mud usually poses environmental concern. Hence, there is the need to seek oil from biodegradable sources as an alternative to the current conventional diesel oil which constitute environmental threat. In this … …American Journal of Engineering and Applied Sciences, Vol. 10, Issue 2 · 12 Jun 2017 · 7,923 accessesView PDFCite
Research ArticleOpen accessIn the abstractStudy of Properties of a Dispersant Used for Extracting Oil with High Gas-Oil RatioVladimir Verbitsky, Aleksey Dengaev, Oleg Zubkov, Dmitry KoshkinThe article presents the bench test results for a dispersant manufactured by Izhnefteplast Company, which specializes in batch production of unique submersible pumping equipment for oil extraction. The submersible equipment is unique in that the working elements of the pumping equipment are made of polymeric materials unlike the conventional concept of pumping machinery for oil production. The relevance of the … …American Journal of Applied Sciences, Vol. 13, Issue 2 · 24 Feb 2016 · 7,293 accessesView PDFCite
Research ArticleOpen accessIn the abstractFast and Robust Maximum Power Point Tracking for Solar Photovoltaic SystemsHuiying Zheng, Shuhui LiSolar Photovoltaic (PV) energy is becoming an increasingly important part of the world's renewable energy. In order to develop technology for efficient energy conversion from a solar PV system, this paper studies typical Maximum Power Point Tracking (MPPT) control techniques used in solar PV industry and then proposes a close-loop and adaptive MPPT method for reliable and rapid extraction of … …American Journal of Engineering and Applied Sciences, Vol. 9, Issue 4 · 17 Jan 2016 · 7,779 accessesView PDFCite
Research ArticleOpen accessIn the abstractβ1,3-GLUCAN ANTICANCER EFFICACIES AND SYNERGIES: A REVIEWStory Jenny, Vetvicka Vaclav, Angove Michaelβ1,3-glucans from fungi, cereals, seaweeds and bacteria have been shown to possess favourable biological and anti-carcinogenic activities including upregulation of phagocytosis, cytokine production enhancement, superoxide and nitrite production; antibody secretion and stimulation of signalling pathways associated with proto-oncogene expression. However, human dietary supplements containing β1,3-glucans vary in efficacy due to glucan source, the lifecycle stage of the source at extraction, … …American Journal of Immunology, Vol. 10, Issue 3 · 3 Sep 2014 · 8,759 accessesView PDFCite