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270 articles for “Extraction time”
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Integrated Dam Automation: Real-Time Monitoring and Controlling Using IoT
Abstract: Dam automation is a critical area in water resource management, especially given the rising demand for sustainable and safe water control systems. An integrated approach to dam automation involves implementing advanced sensors and monitoring systems to improve structural safety, water quality, and resource management. This paper presents a comprehensive automation model that combines crack detection, convolutional neural networks (CNNs), water level monitoring, turbidity sensing, and rainfall data to ensure real-time …
Published in Journal of Microcontroller Engineering and Applications · Vol. 12, Issue 1, 2025 · pp. 31–38 Read article
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Formulation of Wonderful base pomegranate shampoo and evaluation of it
Abstract: The current study objective was to create and assess a herbal shampoo using natural ingredients that prioritized both efficacy and safty. The extracts of pomegranate (the active ingredient), curry leaves, hibiscus leaves, Fenugreek seeds and reetha were combined in varying amounts to make the shampoo. As ancient times, people are used herbal shampoos, which are cosmetic preparations made with traditional ayurvedic herbs, to clean their hair, scalp, and to beautify …
Published in Recent Trends in Cosmetics · Vol. 1, Issue 1, 2024 · pp. 23–36 Read article
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The Effect of Magnesium and Zinc Lozenge on Postoperative Sequelae after Third Molar Surgery: A Prospective Randomized, Placebo-Controlled Study
Abstract: Background: The postoperative sequelae after third molar surgery include pain, swelling and trismus, Magnesium has antinociceptive effects that can prevent central sensitization caused by peripheral nociceptive stimulation by blocking the N-methyl-D-aspartate-type glutamate receptors, Zinc acts as anti-inflammatory agent, can promote wound healing, immune system modulation, tissue repair, and significant reduction in the use of analgesics for oral pain. This study was aimed to evaluate the efficacy of Magnesium and Zinc …
Published in Research and Reviews: A Journal of Dentistry · Vol. 12, Issue 2, 2021 · pp. 10–18 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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Assessment of Different Quality Control Parameters of Marketed Brands of Habbe Kabid Naushadari: A Classical Unani Formulation
Abstract: AbstractHabbe Kabid Naushadari is one of the most famous classical Unani formulation that is commonly practiced by Unani physicians in day-to-day practice as a stomachic and liver tonic. In the present study, two different brands of Habbe Kabid Naushadari available in the market, were evaluated and compared with the standard monograph mentioned by CCRUM. Various physicochemical parameters such as pH, alcohol-soluble extractive, water-soluble extractive, total ash, acid-insoluble ash, water-soluble ash …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 2, Issue 3, 2013 · pp. 26–31 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
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Chaya Plant Extract Jatropha tanjorensis: The Concepts of Bioremediation of Contaminated Soil Evaluation
Abstract: This research was carried out to study the performance of sun-dried and room dried Chaya plant extract on the remediation of crude oil contaminated soil samples from Obele Community. The parameters under investigation were Total Petroleum Hydrocarbon degraded((TPHD), pH, amount of Nitrogen, Phosphate, and Potassium, Total organic carbon. Twenty-two (22) batch reactors were used for this research with each reactor containing 1kg of soils samples contaminated with 100ml of crude …
Published in International Journal of Advance in Molecular Engineering · Vol. 1, Issue 1, 2023 · pp. 31–48 Read article
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Image Preprocessing and Analysis on Eye Fundus Images Segmentation by Using Density Clustering Methods
Abstract: In order to do an automated evaluation of various retinal illnesses such as Diabetic retinopathy, Glaucoma, and Macular Edema, fundus images must be pre-processed first. For many reasons, it's difficult to accurately detect the optic disc. Many blood vessels cross the optic disc, making it difficult to discern the disc's boundaries in fundus images. Lesion regions in diabetic retinopathy look very much like an optic disc's colour and texture, so …
Published in Recent Trends in Sensor Research & Technology Read article
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Network Intrusion Detection System Using Decision Tree
Abstract: This paper presents a novel approach to network intrusion detection systems (NIDS) using advanced decision tree algorithms to address critical limitations in existing IDS solutions. Traditional IDSs often struggle with high false positive and negative rates, lack of scalability, and poor interpretability. Our proposed IDS leverages decision trees to enhance detection accuracy, interpretability, and scalability, thereby improving network security. Decision trees are chosen for their adaptive learning capabilities, transparent decision-making …
Published in Journal Of Network security · Vol. 12, Issue 2, 2024 · pp. 22–33 Read article
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Modeling of Maximum Power Point Tracking Controllers for Wind Generation System using Hill Climb Searching Technique
Abstract: In this paper, based on a low-cost, small-scale application, presents a Maximum Power Point Tracking (MPPT) controller for wind generation systems (WGS). The Hill Climb Search approach served as the foundation for the development of the MPPT algorithm. To account for the inertia of wind turbines, an enhanced hill-climb searching approach has been created as a fundamental component of the max-power extraction algorithm. Under varying wind conditions, the generator can …
Published in Journal of Power Electronics and Power Systems · Vol. 13, Issue 3, 2023 · pp. 39–47 Read article
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An Efficient Method of Estimating and Analysing Soil Moisture Using IOT
Abstract: The current state of water content on the earth is decreasing at a rapid rate. Due to this reason, the lands which used to be fertile, moist, and healthy for agriculture purposes and various other forest regions are drying out due to lack of moisture content. Excess water in various regions can be diverted to the lands with low moisture levels and converting them into fertile plain lands. The recent …
Published in Journal of Semiconductor Devices and Circuits · Vol. 9, Issue 3, 2022 · pp. 1–8 Read article
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Image Preprocessing And Analysis On Eye Fundus Images Segmentation By Using Density Clustering Methods
Abstract: Abstract: In order to do an automated evaluation of various retinal illnesses such as Diabetic retinopathy, Glaucoma, and Macular Edema, fundus images must be pre-processed first. For many reasons, it's difficult to accurately detect the optic disc. Many blood vessels cross the optic disc, making it difficult to discern the disc's boundaries in fundus images. Lesion regions in diabetic retinopathy look very much like an optic disc's colour and texture, …
Published in Recent Trends in Sensor Research & Technology · Vol. 8, Issue 3, 2021 · pp. 11–18 Read article
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MedVerse AI: An Intelligent Digital Health Platform for Patient-Centric Healthcare and Proactive Disease Prediction
Abstract: The rapid digitization of healthcare has led to an unprecedented growth in medical data, ranging from diagnostic images and laboratory reports to electronic health records and clinical notes. Despite this abundance, patients and healthcare providers often struggle to extract meaningful insights due to data complexity and fragmentation. MedVerse AI proposes an intelligent digital health platform that unifies medical image analysis, clinical report interpretation, real-time interaction, and predictive disease analytics into …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 4, Issue 2, 2026 · pp. 1–7 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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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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SmartMed: An AI Powered Platform for Instant Medicine Access and Prescription Understanding
Abstract: Access to medicines during emergencies and the lack of prescription clarity remain significant challenges in modern healthcare systems. Most existing online pharmacy platforms primarily focus on home delivery services and do not provide real-time visibility of nearby pharmacy stock or intelligent prescription interpretation support. This limitation often delays treatment and creates confusion for patients. This paper presents a Smart Medicine Availability, Delivery, and AI Consultation System that integrates real-time pharmacy …
Published in Research and Reviews: A Journal of Medicine · Vol. 16, Issue 2, 2026 · pp. 1–15 Read article
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Polystyrene Plastic Waste into Liquid Fuel Using Silica-Alumina Catalyst, Extracted from Rice Husk
Abstract: Catalytic Pyrolysis of Polystyrene (PS) into fuel like products using silica alumina catalyst that was extracted from rice husk was investigated over temperature range of 430–470°C. The output of catalytic pyrolysis was liquid oil, solid residues (char) and gaseous fraction. The product yields as a function of temperature, time and catalyst amount were studied. High conversion of liquid (48.8%) was achieved at 430 and 450ºC in the presence of 12.5 …
Published in Journal of Petroleum Engineering & Technology · Vol. 10, Issue 3, 2020 · pp. 15–31 Read article
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Lung Cancer Detection and Classification Using Deep Learning
Abstract: Lung cancer is a disease that can be effectively treated if detected early. Various technologies, such as magnetic resonance imaging, isotopes, X-rays, and computed tomography scans, are employed for diagnosis. One of the most crucial strategies in combating cancer is early detection, which greatly enhances a patient’s likelihood of survival; this is where artificial intelligence plays a significant role. The approach proposed in this study leverages historical medical data to …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 13, Issue 3, 2024 · pp. 11–17 Read article
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Analysis of impact of Meditation on Cognitive Workload using EEG Signals
Abstract: AbstractMental activities can be indicated by the Cognitive workload which are useful in applications like Biomedical, Human Machine Interaction and Task analysis. The mental effort applied on the Working memory at a certain given time is commonly known as Cognitive load. The EEG Signals of Cognitive Workload can be studied and classified. The features such as Entropy, Energy, Power, etc. can be extracted from the EEG signals and processed using …
Published in Current Trends in Signal Processing · Vol. 10, Issue 1, 2020 · pp. 29–39 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