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110 articles for “extraction”
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Optimizing Dyeing Processes for Nylon: A Study onUltrasonic and Natural Dye Application
Abstract: This study focuses on the application of natural dyes, specifically those derived from onion (Allium cepa) extracts, for dyeing nylon fabric, while assessing the impact of different mordants, including potassium dichromate, copper sulfate, and alum. The research explores the effectiveness of High Temperature High Pressure dyeing techniques to enhance dye uptake and color fastness. Natural dyes, traditionally viewed as less effective than synthetic counterparts, are being reevaluated for their eco-friendly …
Published in International Journal of Green Chemistry · Vol. 10, Issue 2, 2024 · pp. 9–15 Read article
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Assessing trends in Speciation of First-Row Transition Metals in Children's Playgrounds of Owerri, Nigeria
Abstract: Chemical species of metals affect toxicity but trends of these metals species in soils are less studied. This study examined the trends and variability of species of metals in soils from playgrounds within Owerri. Eighty-one composite soil samples from nine playgrounds were collected in dry and rainy season to reflect spatio-seasonal variability. Samples were characterized by standard methods in triplicates and then extracted sequentially. Concentrations of metal species were determined …
Published in International Journal of Green Chemistry · Vol. 11, Issue 1, 2025 · pp. 28–45 Read article
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Advances in Gender Classification from Facial Images Using CNNs: A Comprehensive Review
Abstract: Predicting age and gender from facial images is important for various uses, like social interactions, security, and customizing user experiences. Despite progress in facial recognition technology, getting accurate and reliable predictions is still a challenge. This paper reviews recent advancements in Convolutional Neural Networks (CNNs) for age and gender classification, comparing their effectiveness to traditional methods. CNNs excel in extracting features from images and have shown notable improvements in accuracy …
Published in International Journal of Digital Communication and Analog Signals · Vol. 10, Issue 2, 2024 · pp. 1–5 Read article
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Face and Speech Emotion Recognition
Abstract: The study “faces and speech recognition” underscores the critical role of speech emotion recognition (SER) and its diverse applications across various fields, such as medicine, human-computer interaction, and customer service. SER has gained significant importance in cognitive psychology due to its potential to enhance user experience, improve patient care, and optimize the interaction between users and products. The process involves the identification and extraction of essential features from speech signals, …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 10, Issue 2, 2024 · pp. 35–43 Read article
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Recent Techniques for Producing Biodiesel
Abstract: Development of society increases the demand of energy. Particularly in transportation sector the need of diesel fuel is increasing day by day and consequently there is a problem of environmental pollution, so there are severe challenges to human survival and development. Biodiesel provides one kind of sustainable solution to above problems. The supercritical process is one of the innovative methods used in the manufacturing of biodiesel. With this process, oils …
Published in International Journal of I.C. Engines and Gas Turbines · Vol. 10, Issue 1, 2024 · pp. 19–22 Read article
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Steps involved in EEG Signal Analysis for Arm Movement
Abstract: This study delves into the intricacies of analyzing EEG signals associated with arm movement motor imagery. We explore established techniques across three key stages: data pre-processing, feature extraction, and classification for movement identification. By critically evaluating the strengths and weaknesses of each approach, we optimize the analysis pipeline for robust decoding of arm movement intent. This work empowers researchers and practitioners to transform raw EEG data into actionable insights, opening …
Published in International Journal of Microwave Engineering and Technology · Vol. 10, Issue 1, 2024 · pp. 43–55 Read article
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Recent Trends in Production, Characterization, and Utilization of Fungal Chitosan
Abstract: Chitosan is the second most abundant biopolymer in nature after cellulose that can be extracted from marine sources, as well as from agricultural waste products such as mushrooms or other fungal sources following chitin deacetylation. The consistent production of these glycans by fungi is unaffected by seasonal changes, allowing for precise process control. This results in a more consistent quality of the final product. Currently, crustacean shells and other marine …
Published in International Journal of Industrial Biotechnology and Biomaterials · Vol. 10, Issue 1, 2024 · pp. 23–31 Read article
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A Quasi-experimental Study to Evaluate the Effectiveness of Spirulina with Lemon Juice on Anemia among Under-five Children in Selected Schools at Madurai, Tamil Nadu
Abstract: Anemia among under-five children is an important concern for the health authorities in India. Untreated anemia in children can have a serious effect on their growth. Spirulina is blue-green algae. It contains protein, iron, vitamins, and minerals. It is aimed at a quasi-experimental study to evaluate the effectiveness of spirulina with lemon juice on anemia among under-five children in selected schools at Madurai, Tamilnadu. Quasi-experimental pre-test post-test control group design …
Published in International journal of Nursing Science Practice and Research · Vol. 8, Issue 2, 2022 · pp. 50–61 Read article
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Pteridophytes as a Source of Traditional Medicine and Environmental Remediation: A Comprehensive Review
Abstract: The Himalayas, one of the worlds’ most important biodiversity hotspots, contribute substantially to the vegetational resources of the Indian subcontinent, with the Garhwal Himalaya standing out for its rich and diverse flora. Among the plant species in this region, pteridophytes, particularly ferns, hold notable economic and medicinal value. These plants have long been integral to traditional medicine systems, such as Ayurveda, and their therapeutic properties have been passed down through …
Published in International Journal of Plant Biotechnology · Vol. 10, Issue 2, 2024 · pp. 33–36 Read article
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Isolation and Characterization of Alkaloidsfrom Ancistrocladus Heyneanus Leaves: A Phytochemical Study
Abstract: Leaves of Ancistrocladus heyneanus were collected from the forest of the Matheran hills of Maharashtra. From these leaves, alkaloids were extracted using dichloromethane, and two new monomeric Naphthyl-iso-quinoline alkaloids, Youndamine A and Ancistrocline were isolated using TLC and HPLC. HPLC/MS and NMR further identified the patient. The present study involves the collection and chemical investigation of the leaves of Ancistrocladus heyneanus, a plant species found in the forested regions of …
Published in International Journal of Analytical and Applied Chemistry · Vol. 10, Issue 2, 2024 · pp. 7–20 Read article
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Evaluation of Michaelis-Menten Constants of TPH Degradation on Clay Soil
Abstract: The degradation of Total Petroleum Hydrocarbons (TPH) in petroleum-contaminated clay soil remains a major environmental concern, particularly in regions with limited remediation options. This study investigates the enzymatic kinetics of TPH biodegradation using Michaelis-Menten modeling in the presence of Bryophyllum pinnatum leaf extracts as biostimulants. Fourteen bioreactors containing 2000g of contaminated clay soil were prepared with 100ml of crude oil and treated with varying doses (100ml, 200ml, and 300ml) of …
Published in International Journal of Chemical Engineering and Processing · Vol. 11, Issue 2, 2025 · pp. 6–12 Read article
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Review on Lignin, Its Derivatives and Their Applications
Abstract: Due to the excessive use of fossil fuels day by day everywhere, several severe problems on the globe and related to environmental issues like environmental problems and heating are cropping up and posing a big problem. Due to this reason, several attempts are being made to develop other sustainable alternate energy sources which are based on plant biomass. However, those materials contain lignin, which makes up approximately 18-30% of the …
Published in International Journal of Environmental Chemistry · Vol. 10, Issue 2, 2024 · pp. 5–13 Read article
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Eco-Friendly Starch-Iron-Oxide Nanoblends from Fruit Peel Waste – A Green Waste Valorization Approach
Abstract: Utilization of agricultural wastes for production of useful biomaterials has attracted a lot of interest due to their environmental and economic benefits. In the present study, green banana peels were used as bio sustainable raw materials from which starch was extracted, and pomegranate peels were used as an ecofriendly raw material for the green synthesis of iron oxide nanoparticles. The green banana peels were also found to be a potential …
Published in International Journal of Green Chemistry · Vol. 12, Issue 2, 2026 · pp. 29–39 Read article
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A Comprehensive Review of Convolutional Neural Network Architectures and Evolution
Abstract: Convolutional Neural Networks (CNNs) have become a foundational deep learning framework in computer vision because they can automatically extract layered, increasingly complex features directly from raw image data. CNNs use convolutional, pooling, and activation layers to extract spatial patterns from basic edges to intricate object components, drawing inspiration from the human visual cortex. An overview of CNNs’ basic architecture is given in this study, along with an explanation of important …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 12, Issue 1, 2026 · pp. 32–40 Read article
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Fungal-Mediated Myco-Nanoparticle Synthesis Using Fusarium Species
Abstract: Green synthesis of nanoparticles is a developing technology known for its safe and environmentally friendly approach. Fungi possess essential features in fabricating biogenic nanoparticles of different metals due to their enzymatic capabilities. Myconanoparticles derived from Fusarium species are synthesized in multiple stages. The most utilized species for nanoparticle creation are Fusarium oxysporum and Fusarium solani. This study aims to investigate the growth and conduct microscopic inspection of Fusarium sp. The …
Published in International Journal of Applied Nanotechnology · Vol. 12, Issue 1, 2026 · pp. 8–17 Read article
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Experimental Based Analysis of Minor BioactiveCompound Composition of Avocado, Mango and NativePear Seed oil for Pharmaceutical Utilization
Abstract: Oil was extracted from avocado, mango and native pear seed through the mechanism of mechanothermal techniques. In this process no solvent was added for the purpose of the oil recovered rather themechanism of extraction was mainly mechanical and distillation process. The different oils recoveredfrom the process were subjected to pharmaceutical analysis to ascertain the properties of some minorbioactive compounds and their compositions in relation to the three samples of the …
Published in International Journal of Chemical Separation Technology · Vol. 10, Issue 1, 2024 · pp. 15–26 Read article
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Classification of Fetal ECG Arrhythmia by Using Advance Hybrid Deep Learning Technique CNN-LSTM
Abstract: Fetal heart abnormalities, particularly fetal heart arrhythmias, are becoming an increasing concern in maternal healthcare. Early and accurate detection remains challenging due to limitations in conventional diagnostic techniques and inadequate signal processing methods. Existing studies have applied various machine learning and deep learning approaches; however, capturing the complex characteristics of fetal electrocardiogram (ECG) signals remains a significant gap. This study proposes an advanced deep learning-based approach for detecting fetal heart …
Published in International Journal of Cardiovascular Nursing · Vol. 12, Issue 1, 2026 · pp. 27–36 Read article
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Enhancing Facial Expression Analysis Using CNNs: Insights from ML and Deep Learning Comparisons
Abstract: Emotion recognition from facial manifestations increases the interaction between humans and computers by enabling the interaction between humans and computers to effectively explain human feelings. This study presents a comparative analysis of three approaches to the emotional recognition of faces: a custom Convolutional Neural Network (CNN) model, Traditional Machine Learning (ML) methods, and other deep learning architectures such as VGG, ResNet, and Hybrid CNN–RNN models. The proposed CNN-based system, developed …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 12, Issue 1, 2026 · pp. 23–31 Read article
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Investigation of the Physical and Chemical Properties of Different Species of Onion
Abstract: An investigation on the physical and chemical properties of white, red, and brown onions was carried out to assess the potential applications of the different species sampled in this study. The physical properties monitored include refractive index, viscosity, and density. For red onion, the refractive index, viscosity, and density were measured as 1.35322, 1.631 cSt, and 1.1140 g/cm³, respectively. Brown onion exhibited values of 1.3571, 3.045 cSt, and 1.1130 g/cm³, …
Published in International Journal of Chemical Synthesis and Chemical Reactions · Vol. 11, Issue 2, 2026 · pp. 1–15 Read article
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Automated Image Captioning Using Xception–CNN and LSTM for Descriptive Sentence Generation
Abstract: Generating descriptive texts for images is a complex and challenging task that requires advanced deep learning techniques. This paper presents a descriptive sentence generator for images using a combination of convolutional neural networks and recurrent neural networks. The proposed model utilizes a pretrained convolutional neural network, Xception, to extract image features, which are then processed by a long short-term memory network to generate meaningful textual descriptions. The model is trained …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 11, Issue 2, 2025 · pp. 20–28 Read article