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220 articles for “SPE Extraction”
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Production of Disinfectant Using Aloe Vera (Aloe barbadensis miller) Plant Extracts
Abstract: This research work demonstrates the production of a disinfectant using aloe vera (Aloe barbadensis Miller) as main source of the raw material. The liquid content of the aloe vera was extracted using mechanical and unit operation mechanisms and the obtained raw material was subjected to heating to evaluate the effect of temperature on the characteristics of the physiochemical properties of pH, total ash, crude fat, fibre and protein, total carbohydrate, …
Published in International Journal of Pollution: Prevention & Control · Vol. 1, Issue 1, 2023 · pp. 17–30 Read article
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Investigation of the Solvent Extraction Using Alcohol and Water on Bryophylum pinnatum Leaves for Total Petroleum Hydrocarbon Degradation on Loamy Soil
Abstract: Investigation of the solvent extraction using alcohol and water on Bryophylum pinnatum leaves for total petroleum hydrocarbon degradation on loamy soil was monitored for the purpose of evaluating the Micheal’s Menten functional parameters as well as the coefficients. The maximum specific rate of the total petroleum hydrocarbon (TPH), which was expressed as Vmax and the rate of the dissociation of the TPH, which is denoted as Km was computed in …
Published in International Journal of Environmental Planning and Development Architecture · Vol. 3, Issue 2, 2025 · pp. 8–15 Read article
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Automated Plant Disease Detection and Treatment Advisor Using Artificial Intelligence
Abstract: Automated plant disease detection and treatment advisors using artificial intelligence represent a significant advancement in modern agriculture. The identification of plant leaf diseases is essential to maintaining food security and agricultural output. Machine learning models, particularly deep learning algorithms like convolutional neural networks (CNNs), are trained on labeled datasets containing images of healthy and diseased plants. These models learn to classify images into different disease categories with high accuracy. Convolutional …
Published in International Journal of Cheminformatics · Vol. 1, Issue 2, 2023 · pp. 1–7 Read article
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Identifying and Implementing a Machine Learning Model Suitable for Processing Visually Evoked Potential
Abstract: A Brain-Computer Interface (BCI) is a system that translates brain activity patterns into computer commands, bypassing physical movement. Electroencephalography (EEG) is commonly used to acquire signals in BCI research. Visual evoked potentials (VEPs) are brain responses in the visual cortex to visual stimuli. Recent studies show that exposing individuals to flickering at a consistent frequency generates EEG signals synchronized with the stimulation. Efficient extraction of VEP signals begins with preprocessing …
Published in Journal of Microwave Engineering and Technologies · Vol. 11, Issue 2, 2024 · pp. 1–8 Read article
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Preparation and Characterization of TiO2 Nanoparticles by Green Method
Abstract: In this study, we attempted to synthesize TiO2 nanoparticles utilizing titanium tetrachloride as a precursor and an aqueous extract of Sansevieria plant leaves. Atomic force microscopy (AFM), X-ray diffraction (XRD) pattern, scanning electron microscopy (SEM), Fourier transform infrared (FTIR) spectroscopy, and Brunauer-Emmett-Teller (BET) analysis were used to identify the synthesized TiO2 nanoparticles As per the surface topography, the average diameter of nanoparticles is considered as 67.73 nm. Debye-Scherrer equation was …
Published in Journal of Polymer & Composites · Vol. 11, Issue 2, 2023 · pp. 61–67 Read article
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Sign Language and Face Expression Recognition Using Neural Networks: Deep Learning Approach to Break Communication Barriers
Abstract: Our study proposes a multimodal gesture recognition system specifically designed to aid communication for the deaf community. By employing neural network concepts, we utilize 3D convolutional neural networks (3D CNNs) to extract features from both hand and face images, focusing on relevant regions. Preprocessing techniques are applied to isolate these areas of interest prior to feature extraction. Unique 3D CNN architectures are then trained for each modality to capture the …
Published in Current Trends in Signal Processing · Vol. 14, Issue 3, 2024 · pp. 1–10 Read article
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Antibacterial Activities of Medicinal Plant Leaves Extract Against Isolated Escherichia coli Bacteria from Different Water Sources
Abstract: Objective: Escherichia coli are the most common pathogenic bacteria to accountable for food and waterborne illness. Therefore, in this way the study was conducted to resolve the occurrence of E. coli bacteria from different water sources in around Tamil Nadu along with to determine their antibiotic resistance profiles. Methods: Water samples were analysed for the presence of E. coli bacteria using specific agar media Eosin Methylene Blue and McConkeys. Colony …
Published in Research and Reviews: A Journal of Microbiology and Virology Read article
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Assessing the Efficacy of Carica Papaya Leaf Extract in Preventing Thrombocytopenia: A Review
Abstract: A clinical condition known as thrombocytopenia is characterized by a low platelet count (less than 150 × 103/μL) in the blood, which leads to an imbalance in hemostasis and can result in multiple deadly consequences. Although the exact causes are not always known, they always lead to death by interfering with the formation of platelets and encouraging their destruction. Research demonstrates that Carica papaya leaf has special medicinal and therapeutic …
Published in Research & Reviews: A Journal of Pharmacognosy · Vol. 11, Issue 2, 2024 · pp. 25–33 Read article
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Assessment of Groundwater Quality in Jaipur District, Rajasthan, India, Using Water Quality Index
Abstract: There are both open and closed bore wells. This research focuses on evaluating the groundwater quality in Jaipur by utilizing the Water Quality Index. For this comprehensive study, 22 water samples were meticulously collected from open and closed bore wells distributed across 22 different blocks within the district. The analysis involved measuring key physicochemical parameters, including pH, electrical conductivity, temperature, total dissolved solids, and salinity. These parameters were chosen due …
Published in Journal of Water Resource Engineering and Management · Vol. 11, Issue 2, 2024 · pp. 38–46 Read article
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A Brief Review on the Mechanical and Physical Properties of Abaca Fiber- Reinforced Polymer Composites
Abstract: Recent studies have seen a surge of interest has surged in the sustainability and long-term enduring viability of composites of natural fiber-reinforced polymers. Owing to their elevated specific strength, they are often used in practical physical applications to produce lightweight components. This article reviews and studies the properties, manufacturing processes, and extraction methods of Abaca fiber. Additionally, it provides a brief overview of the preparation and properties, such as mechanical …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 622–634 Read article
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Assessing the Performance of DL Methods in Handwritten Digit Recognition
Abstract: Handwritten digit recognition is a computer vision task that involves the automatic identification and classification of hand-written digits. The objective is to develop models capable of accurately recognizing and distinguishing digits handwritten by humans. With the development of machine learning and deep learning techniques, this field has advanced remarkably. The convolutional neural network (CNN) is the most often used technique for this purpose. By utilizing CNN, the model can learn …
Published in International Journal of Data Structure Studies · Vol. 1, Issue 1, 2023 · pp. 25–32 Read article
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Review on CBIR Image Based on Colour, Texture and Shape Features of Biomedical Image Applications
Abstract: This study seeks to understand how different image enhancing methods affect the sensitivity of contrast-based textural measures and morphological traits derived from high-resolution satellite data (three-band SPOT-5). The built-up/non-built-up detection framework is the backbone of every biomedical application. Using supervised learning while working with a low-resolution reference layer reduces uncertainty and boosts the reference layer's quality in a roundabout way. The image's histogram is recalculated based on contrast in order …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 11, Issue 1, 2024 · pp. 8–13 Read article
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The Effect of Alcoholic, Aqueous and Crude Extracts of Lemon citrus Seeds on Staphylococcus and Klebsiella Bacteria
Abstract: Five isolates of staphylococcus bacteria identified by phytic were obtained and activated on solid saline mannitol medium, where the colonies appeared in a golden color. Three extracts of dry lemon seeds were prepared (raw, 1% aqueous extract, 1% alcoholic extract). It was celebrated that the aqueous quotation was added operative on bacterial progress than the alcoholic and rudimentary sources. Three isolates of Klebsiella bacteria identified by VITEK were also obtained, …
Published in Research and Reviews: A Journal of Microbiology and Virology · Vol. 14, Issue 3, 2024 · pp. 32–36 Read article
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Sustainable Cotton Crop Productivity through Precision Weed Detection: A Deep Learning-Based Approach with UAV Integration
Abstract: Weeds present a major challenge to crop productivity by competing with crops for vital resources, including water, sunlight, and nutrients, often resulting in significant yield reductions. On a global scale, weeds are responsible for approximately 13.2% of annual crop losses, a quantity sufficient to feed nearly one billion people. These invasive plants disrupt agricultural systems and adversely impact crop yields. Given their uneven distribution in fields, ground or aerial robots …
Published in Journal of Aerospace Engineering & Technology · Vol. 15, Issue 1, 2025 · pp. 19–26 Read article
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Machine Learning Assisted Optimization of Nanoscale MOSFET Parameters Using TCAD Simulation
Abstract: This paper presents a machine learning (ML) assisted framework for the multi-objective optimization of nanoscale bulk n-channel metal-oxide-semiconductor field-effect transistors (nMOSFETs) with a 10 nm physical gate length, high-k HfO₂ gate dielectric, and TiN metal gate. Technology computer-aided design (TCAD) simulations employing drift-diffusion transport, Shockley-Read-Hall recombination, Lombardi mobility degradation, and density- gradient quantum correction models are used to generate a parametric dataset of 2,400 device configurations spanning gate length (L), …
Published in Journal of Microelectronics and Solid State Devices · Vol. 13, Issue 1, 2026 · pp. 10–19 Read article
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Secondary Metabolites in Drug Development: Tracing Their Historical and Therapeutic Impact
Abstract: Secondary metabolites, also known as natural products, exhibit a level of structural and chemical diversity unmatched by synthetic small molecule libraries. These compounds, which have evolved to possess drug-like properties, continue to be a primary source for new medications and drug leads. Their discovery has significantly impacted advancements in chemistry, biology, and medicine, influencing drug development and therapeutic strategies throughout history. Derived from primary metabolic pathways such as photosynthesis, glycolysis, …
Published in Emerging Trends in Metabolites · Vol. 1, Issue 2, 2024 · pp. 51–55 Read article
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First Insights into Whole Genome Sequencing of the Mycobacterium tuberculosis Complex: Molecular Diversity and Drug Susceptibility Patterns in Senegal
Abstract: Background: We conducted a bibliographic analysis of the Mycobacterium tuberculosis complex (MTBC) in sub-Saharan Africa, which included the analysis of 8,139 genomic sequences from 34 of the 49 sub-Saharan African countries. Notably, only one complete sequence from Senegal was identified, which had been generated in the United States. Our primary objective was to utilize whole genome sequencing (WGS) to detect resistance in anti-tuberculous strains of the MTBC in Senegal. This …
Published in Recent Trends in Infectious Diseases · Vol. 2, Issue 1, 2025 Read article
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Crosslinked Starch Polymer for Coating on Fruit/Vegetable for Preservation Derived from Waste De-Oiled Soybean Cake
Abstract: Cross-linked starch films have been prepared by reacting starch extracted from de-oiled soybean cake (waste material from oil industry) with bio-based acids citric acid and tartaric acid. The obtained films were characterized by spectroscopic, thermal and surface morphological techniques. Thermal analysis showed that thin film has good thermal stability. The micrographs obtained from scanning electron microscopy showed the film surface has smooth and uniform morphology. Biological properties like cytocompatibility, antimicrobial …
Published in Journal of Catalyst & Catalysis Read article
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Optimizing Power Generation from Building Ventilation Systems: A Study on Exhaust Fan Efficiency
Abstract: Due to population growth, the world's energy consumption has increased dramatically in both wealthy and developing nations in recent years, and by 2042, it is predicted to have doubled or more. Since a few years ago, the use of innovative sustainable power sources to meet energy demands has been gradually increasing. We've chipped away at a different idea because of this. As an alternative energy source, renewable energy (RE) resources …
Published in International Journal of Electrical Power and Machine Systems · Vol. 1, Issue 2, 2023 · pp. 22–27 Read article
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Transfer Learning in Deep Learning Models for Medical Imaging: Utilizing Pretrained Models to Improve Performance in Medical Image Analysis
Abstract: Transfer learning is now a trending technique in deep learning, especially in medical imaging. This technique solves landmark problems by utilizing the pre-trained models, including the limited availability of the annotated medical data and the time-consuming computational costs of training deep learning models from scratch. The generalizability of deep models could increase diagnostic precision for specific medical tasks, require fewer samples to train, and take less time to train due …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 12, Issue 1, 2025 · pp. 67–85 Read article