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731 articles for “extraction methods”
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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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Design of Plant for the Production of 30,000 Tons Per Year Capacity of Dimethyl Carbonate (DMC) from Natural Gas Using Aspen HYSYS
Abstract: This study focuses on the design of a plant for the production of 30,000 tons per year of dimethyl carbonate (DMC) from natural gas. The plant design was carried out using the Aspen HYSYS Software. The data obtained from Kokori natural gas served as the primary feedstock for the plant. A kinetic model for the production of DMC was developed from existing literature, followed by the development of the mathematical …
Published in Emerging Trends in Chemical Engineering · Vol. 12, Issue 3, 2025 · pp. 45–60 Read article
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Artificial Intelligence and IoT Integration for Real-Time Violence Monitoring
Abstract: The peace and tranquility of any place can be affected greatly by the insurgence of violence and violent attacks that are perpetrated by individuals with malicious and nefarious intentions. These individuals terrorize the areas and can cause a lot of harm and damage to people and public property. The incidences of violence are undesirable and can be problematic to handle by the law enforcement agencies, as these acts are committed …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 1, 2025 · pp. 39–45 Read article
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An analytical study of the technological & managerial advancements in the sedimentary basins of Brazil with special emphasis on Campos basin over a period of 5 decades
Abstract: Once a basin is found to be economically viable after the G&G studies and various reserve estimation methods it has to be exploited for the extraction of hydrocarbon. The basin consists of numerous wells drilled at different depths depending upon the stratigraphical variations in it. For the purpose of drilling a well and installation of production facilities over the life of well and basin, the technology deployed initially will have …
Published in Journal of Petroleum Engineering & Technology · Vol. 11, Issue 3, 2021 · pp. 19–31 Read article
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Audio-Only Speaker Identification using Principal Component Analysis based Back-Propagation Learning Neural Network in Noisy Environment
Abstract: This paper introduces text dependent speaker identification system on Principal Component Analysis based Back-Propagation learning neural network which deals with detecting a particular speaker from a known populations under noisy environment. For audio pre-processing, ends point detection, silence parts removal, frame segmentation and windowing techniques have been used and wiener filter has been applied to remove the background noise from the audio speech utterances. To reduce the dimension of the …
Published in Current Trends in Signal Processing · Vol. 3, Issue 3, 2013 · pp. 1–10 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 synthetic fuel production using the new method of the Chlorella high quality concentration
Abstract: The microalga concentrates are unique for synthesizing of high quality fuel. The synthetic of high quality fuel production formed because of the possibility of extraction of the raw oil (synthetic fuel) from microalga’s high quality concentrates. The microalga concentrate of Chlorella is the most suitable material for synthetic high quality raw oil production. Existing methods of centrifugation or microfiltration of microalga Chlorella concentration are very expensive. The paper represents the …
Published in Journal of Petroleum Engineering & Technology · Vol. 9, Issue 2, 2019 · pp. 27–31 Read article
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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
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Effect of Leaf or Bud Extract of Euphorbia hirta L. using Different Solvents against Human Pathogenic Bacteria Staphylococcus aureus
Abstract: AbstractAntibacterial effects of leaf or bud extract of selected medicinal herb Euphorbia hirta L. were examined using agar disc diffusion method against test bacteria Staphylococcus aureus. Different solvents such as methanol, ethanol, dimethyl sulfoxide and aqueous were used for extraction. Maximum in vitro inhibition was observed in methanol extracts of Euphorbia hirta L. which offered inhibition zone of 20 mm and zone of inhibition area of 471.00 mm² against S. …
Published in Research and Reviews: A Journal of Microbiology and Virology · Vol. 8, Issue 3, 2018 · pp. 1–4 Read article
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Antibacterial Activity of Enicostemma Axillare Against Wound Pathogens
Abstract: The leaves extracts of Enicostemma axillare are used in traditional medicine for treatment of various infections. The antibacterial activity detected was against S.aureus, E.coli, Pseudomonas aeruginosa, P.vulgaris and K.pnemoniae. Wound swabs obtained from ten injured patients at Government hospital, led to the isolation of bacteria using standard methods, the microorganisms were isolated. Then chloroform, methanol and aqueous extract of Enicostemma axillare against S.aureus, E.coli, Pseudomonas aeruginosa, P.vulgaris and K.pnemoniae exhibited …
Published in Research and Reviews : A Journal of Biotechnology · Vol. 4, Issue 3, 2014 · pp. 1–3 Read article
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Evaluation of Antimicrobial and -Amylase Inhibitory Activity of Selected Medicinal Plants
Abstract: During this study we evaluated the a-amylase inhibitory activity and antimicrobial activity of different extracts of Psidium gujauva, Allium sativum, Withania sominfera, and Piper nigrum. Antimicrobial potential was observed against Escherichia coli and Staphylococcus aureus. The plant extracts were prepared with chloroform, ethanol, acetone and distilled water. Each extract was evaporated using rotary evaporator, under reduced pressure. Different concentrations (10, 20, 40, 60, 80, and 100 μg/ml) of each extract …
Published in Research & Reviews : Journal of Herbal Science · Vol. 4, Issue 1, 2015 · pp. 15–28 Read article
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An Exploration on Data Mining for Face Detection based on Real time Face Tracking
Abstract: AbstractData mining has been extensively used to gather meaningful information and to improve the significant relationship for the variables warehoused in large data stores. Machine learning provides the technical basis of data mining. Automatic face recognition research which try to give the computer ability to recognize face to distinguish characters. As a key technology of biometrics face recognition technologies, in public security, information security, financial, and other fields has potential …
Published in Journal of Computer Technology & Applications · Vol. 5, Issue 3, 2014 · pp. 46–51 Read article
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Detection of Diseases Using Gradient Boosting Method in Environmental Engineering
Abstract: As Indian culture is highly depending on agriculture. 50% of the people are involved in agriculture. It constitutes large amount of part in Indian economy. It is due to this fact that lots of money is spend by government, for utilizing new technologies. It is obvious to have a disease on plants. The proper treatment is given by the consumer to take proper care of plants. People want well developed …
Published in Journal of Energy, Environment & Carbon Credits · Vol. 10, Issue 3, 2020 · pp. 28–33 Read article
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Estimation of PVT Properties and Vapor Pressure of CHON Based Extractants for Nuclear Solvent Extraction
Abstract: CHON amides like N, N′-Di hexyl octanamide (DHOA) and N, N′-Di octyl hexanamide (DOHA) have been identified as the alternate extractants to TBP for nuclear solvent extraction. Critical properties of these amidic solvents are needed for the estimation of various physical properties. Currently, there is little information in the literature about critical properties for these solvents. For these two extractants, critical properties and boiling point were estimated using group contribution …
Published in Journal of Nuclear Engineering & Technology · Vol. 5, Issue 3, 2015 · pp. 33–37 Read article
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Extraction and Characterization of Antioxidants from the Seeds of Ethiopian Avocado Variety, Pinkerton
Abstract: The objective of this study was to extract and characterize the antioxidants from the Ethiopian avocado seeds of the Pinkerton variety, using ethanol as a solvent. Response surface methodology (RSM) in combination with Box-Behnken experimental design with a three level, three-factor mixture design was used to optimize the extraction condition for assessing the maximum yield of antioxidant from the avocado seeds. Ethanol concentration (%, v/v), temperature (°C) and time (h) …
Published in Journal of Catalyst & Catalysis · Vol. 4, Issue 3, 2017 · pp. 49–56 Read article
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Object Tracking Using Finite Element Method and Branching Filter
Abstract: AbstractWe present an approach to robustly track the object behavior that turns over time from a set of input points from a single viewpoint. The distortions considered are caused by applying forces to known Harris function on the object’s surface. Our method combines the use of prior information on the geometry of the object modeled by a smooth template and the use of a finite element method to predict the …
Published in Current Trends in Signal Processing · Vol. 7, Issue 3, 2017 · pp. 35–40 Read article
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Review of Recovery Methods for Acetic Acid from Industrial Waste Streams by Reactive Distillation
Abstract: This paper addresses an industrially important problem of recovery of acetic acid from a wastewater streams via reactive distillation. The separation (or recovery) of organic residues from aqueous waste streams released from chemical and petrochemical industries is critical and indispensable from the points of view of pollution control and recovery of useful materials. The disposal of wastewaters containing most widely used industrial organic acids such as acetic acid, formic acid …
Published in Journal of Water Pollution & Purification Research · Vol. 1, Issue 2, 2014 · pp. 13–18 Read article
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Intelligent Design Approaches in Microwave Engineering Using Machine Learning Techniques
Abstract: In microwave engineering, machine learning (ML) has become a potent technology allowing quicker design cycles, improved modelling accuracy, and automatic optimisation of complicated systems. Recent developments in the use of ML methods to microwave components and systems, including antennas, filters, and high-frequency circuits, are summarised in this study. In the framework of electromagnetic simulation, surrogate modelling, and parameter extraction, supervised and unsupervised learning algorithms are addressed. Moreover, the study looked …
Published in Journal of Microwave Engineering and Technologies · Vol. 12, Issue 2, 2025 · pp. 31–38 Read article
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Standard for Exchange of Products (STEP) based feature Recognition System for Prismatic Parts
Abstract: Feature extraction is considered as the bridge between Computer Aided Design (CAD) and Computer Aided Process Planning (CAPP). This work is concerned with understanding the problem of how to manipulate and extract information from CAD solid models by using Standard for Exchange of Product data model (STEP) files and its further use in downstream manufacturing operations. Emphasis is placed on recognizing and classifying manufacturing features from the Boundary Representation (BREP) …
Published in Journal of Production Research & Management · Vol. 1, Issue 1-2-3, 2011 · pp. 73–91 Read article
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Voting Based Classification Method for COVID-19 Prediction
Abstract: COVID-19 dataset comprises date, country, confirmed cases, recovered cases and total deaths. The data is integrated with climate data consisting of humidity, dew, ozone, perception, maximum temperature, minimum temperature, and UV. The artificial intelligence based COVID-19 diagnosis strategies can generate more accurate results, save radiologist time, and make the diagnosis process cheaper and faster than the usual laboratory techniques. The COVID-19 detection has various phases which include pre-processing, feature extraction, …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 8, Issue 2, 2021 · pp. 34–41 Read article