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169 articles for “extraction efficiency”
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Experimental Investigation of Water Absorption and Mechanical Behavior of Bamboo Fiber Based Polymer Composites
Abstract: The objective of this research is to assess the suitability of bamboo fibers as a sustainable alternative to synthetic and wood fibers for reinforcing polymer composites. Plant-based fibers, particularly bamboo, offer advantages such as biodegradability, lightweight nature, abundance, and impressive mechanical properties that rival or surpass those of conventional materials. In this study, special focus is placed on the extraction of long fibers from Dendrocalamus giganteus, using a combined mechanical …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1471–1481 Read article
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Evaluation of Mechanical Properties of a Sustainable Bamboo Fiber Based Composite
Abstract: This research investigates the process of extracting and using both long and short bamboo fibers from the plentiful Dendrocalamus giganteus species. The fibers were extracted using a synergistic combination of mechanical and chemical methods, which proved to be the most efficient. The process included using an alkali solution and mechanical disintegration to generate superior long and short fibers. Subsequently, these fibers were used to manufacture composites by combining them with …
Published in Journal of Materials & Metallurgical Engineering · Vol. 14, Issue 3, 2024 · pp. 20–30 Read article
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Terminalia arjuna: The Medicinal Tree
Abstract: Over 85% of the medications used in both conventional and alternative medical systems come from plant sources. The stem bark of Terminalia arjuna (T. arjuna) is rich in minerals, flavonoids, and glycosides. T. arjuna bark is unique because flavonoids have been shown to have anti-inflammatory, lipid-lowering, and antioxidant properties, and glycosides are cardiotonic. A variety of topics related to its ethnomedical, phytochemical, pharmacological, and clinical significance to different medical conditions …
Published in Research and Reviews : A Journal of Ayurvedic Science, Yoga and Naturopathy · Vol. 12, Issue 3, 2025 · pp. 27–34 Read article
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Efficient Clustering Techniques for Data Stream Mining
Abstract: Data mining mainly works on a massive database for storing heavy amount of data. It is generally essential for extracting the meaning insights from the massive, continuously growing database. The traditional method often struggles with sheer volume and the dynamic nature of the modern data. Data stream mining allows for the real-time analysis, means insights are generated as the data arrives, and not after the long batch process. This continuous …
Published in Recent Trends in Parallel Computing · Vol. 12, Issue 2, 2025 · pp. 26–32 Read article
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Design and Analysis of Smart Solar EV Charging System
Abstract: The rising demand for electric vehicles (EVs) has generated an urgent requirement for sustainable and advanced charging systems. This study delineates the design and analysis of an intelligent solar EV charging system intended to reduce dependence on the grid and optimize the utilization of renewable energy. The system incorporates a solar photovoltaic (PV) array, battery energy storage, and an IoT-enabled smart controller to optimize power delivery. A Maximum Power Point …
Published in Journal of Power Electronics and Power Systems · Vol. 16, Issue 1, 2026 · pp. 06–15 Read article
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Detection of Phishing Website Using URL
Abstract: Phishing attacks are one of the greatest threats to online security, where fraud websites deceive users into giving out sensitive information. Traditional methods of detection, such as blacklists and heuristic-based systems, often fail in identifying newly created or sophisticated phishing websites. This study proposes an intelligent phishing website detection system using Convolutional Neural Networks (CNNs) in analyzing URLs and associated features. Using labeled URLs, the system employs such attributes such …
Published in Journal Of Network security · Vol. 13, Issue 1, 2025 · pp. 10–15 Read article
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Innovations in Mineral Science and Engineering for Sustainable Resource Development
Abstract: The growing global demand for mineral resources, coupled with increasing environmental and social concerns, has intensified the need for sustainable approaches in mineral science and engineering. Traditional mining and mineral processing practices, while essential for industrial development, are often associated with high energy consumption, resource depletion, and environmental degradation. In response, recent innovations in mineral science and engineering have focused on improving resource efficiency, minimizing environmental impact, and ensuring long-term …
Published in International Journal of Minerals · Vol. 3, Issue 1, 2026 · pp. 31–36 Read article
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Dye Sensitized Solar Cells Based on Extracted Natural Dyes and Synthetic Dyes with Nanocomposite Material
Abstract: Producing dye sensitised solar cells in their original colours required a number of different techniques. Plants and berries were used to extract these dyes. The DSSCs were manufactured by recycling the old dyes. It was clear that the efficiency of the power conversion was deteriorating. TiO2 mesoporous films' potential applications were also studied. This study employed electrochemical impedance spectroscopy to examine the interactions of natural dyes with TiO2. Bi2O3 nanoparticles …
Published in Journal of Polymer & Composites Read article
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Power of Optical Sensors in Remote Sensing: A Study
Abstract: Imagine having eyes that could pierce the veil of the visible, discerning the subtle whispers of light beyond the spectrum our everyday vision allows. This isn't a superpower from science fiction, but the very essence of optical sensors in remote sensing – our planet's watchful, silent sentinels, meticulously translating the electromagnetic symphony into actionable insights. Optical sensors, operating within the visible, near-infrared, and short-wave infrared portions of the electromagnetic spectrum, …
Published in International Journal of Satellite Remote Sensing · Vol. 3, Issue 2, 2025 · pp. 29–36 Read article
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Accelerating Unsupervised Feature Learning: Parallelized Training of Denoising Autoencoders
Abstract: Unsupervised representation learning has become a cornerstone of contemporary machine learning, enabling algorithms to extract informative features from un-labelled, high-dimensional data. This work investigates the efficacy of stacked denoising autoencoders (SDAEs) trained via parallelized stochastic gradient descent (SGD) as a scalable approach to feature extraction. By strategically leveraging multi-threaded computation, our study systematically examines the trade-offs between increased parallelism, training efficiency, and the preservation of model accuracy. Experiments on the …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 12, Issue 3, 2025 · pp. 56–64 Read article
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Geo AI-Powered Urban Footprints
Abstract: In the contemporary era, building footprints are of paramount importance for accurate and current inventories in the development of infrastructure and geospatial analysis. Traditional methods, relying on manual digitization, were largely unsustainable as the urban regions were growing rapidly. Manual digitization was expensive and lacked geometric precision. This paper introduces an automated, end-to-end GEO AI-powered framework for high-end fidelity building footprint extraction from Google Satellite Data. Our approach for this …
Published in Journal of Remote Sensing & GIS · Vol. 17, Issue 2, 2026 Read article
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Heavy Metal Removal from Textile Industrial Effluent using Banana Exocarp Derived Cellulose Acetate Graphene Nanocomposite Membranes
Abstract: The disposal of textile effluent is responsible for serious human health concerns and above all environmental concerns to all kind of species. This indicates that there is immediate and urgent need of emerging, efficient with sustainable recycling technologies. In this paper, banana exocarp as agriculture-based waste, in terms of substrate was utilised as major raw material. The extracted cellulose from the substrate with homogeneous acetylation process, transformed into cellulose acetate …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 · pp. 51–62 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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Phytopharmacognostical Study and Development & Assessment of Topical Herbal Ointment from Leaves of Calotropis gigantea
Abstract: Joint pain is a common problem that affects people all over the world and calls for efficient treatment solutions. The present study investigated the creation of a topical formulation for the treatment of joint pain that uses an extract from the leaves of Calotropis gigantea. C. gigantea is sometimes referred to as huge milk weed and aak leaves. It is a member of the Apocynaceae family. This versatile plant has …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 15, Issue 2, 2024 · pp. 114–120 Read article
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Biomedical Applications of Green-Synthesized Cobalt Oxide Nanoparticles
Abstract: The biomedical potential of cobalt oxide nanoparticles (Co3O4 NPs) synthesized via green methods is gaining recognition due to their biocompatibility and multifunctionality. This article reviews the antibacterial and anticancer properties of Co3O4 NPs synthesized using Delonix regia leaf extract. Characterization techniques confirmed their nanoscale size and uniform morphology. The antibacterial assay against Escherichia coli revealed significant activity, attributed to enhanced permeability and interaction with bacterial membranes. These findings highlight the …
Published in Emerging Trends in Chemical Engineering · Vol. 12, Issue 1, 2025 · pp. 20–29 Read article
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Extraction, Stability, and Application of Natural Dye from Spathodea campanulata Flower: A Study on Shelf Life, Yield, and Fabric Dyeing Potential
Abstract: The growing demand for sustainable and eco-friendly alternatives to synthetic dyes has led to increased interest in natural dye sources. Spathodea campanulata, commonly known as the African Tulip Tree, is a potential source of natural dye due to its vibrant floral pigments. This study focuses on the extraction, yield, stability, and application of the dye obtained from Spathodea campanulata flowers. The dye was extracted using an aqueous method, and its …
Published in Research & Reviews : Journal of Botany · Vol. 14, Issue 3, 2025 · pp. 8–15 Read article
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Performance Improvement of Polymer and Silicon Solar Cells Using Transition Metal Oxide Interfaces
Abstract: Fossil fuels are running out, which is contributing to greenhouse gas emissions and climate change due to the world's growing energy demand. Renewable energy, which is environmentally friendly, is crucial for balancing the demand and supply of energy in our society.The non-traditional energy source with the fastest rate of growth is solar cells, which use photovoltaic technology to convert sunlight into electrical power.Conjugated polymers and large molecules are used in …
Published in Journal of Polymer & Composites · Vol. 12, Issue 5, 2024 · pp. 66–75 Read article
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A Comparative Study of Oven, Spouted Bed, and Convective Tunnel Drying Methods of Mango for Oil Production
Abstract: Mango seeds, with a high moisture content exceeding 70% (wet basis) require effective drying methods to ensure their preservation and to enhance the quality of derivative products like mango seed oil. Proper drying is essential to inhibit enzymatic activity and microbial growth, which extends the shelf life of these seeds. This study investigates multiple drying techniques, including conventional oven drying, spouted bed drying, and convective tunnel drying, to determine their …
Published in Journal of Modern Chemistry & Chemical Technology · Vol. 16, Issue 1, 2025 · pp. 15–19 Read article
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Innovative Approaches to Reducing Data Traffic in IoT Networks Using Deep Learning and Compressive Sensing
Abstract: The exponential growth of internet of things (IoT) devices has posed unprecedented challenges in managing the massive data generated by real-time monitoring, automation, and analytics. Existing network infrastructures lack scalability, bandwidth, and suffer from latency problems, further making data transmission less efficient. This study surveys innovative approaches using deep learning and compressive sensing to reduce IoT data traffic. Deep learning is able to upgrade data processing by means of very …
Published in International Journal of Satellite Remote Sensing · Vol. 2, Issue 2, 2024 · pp. 46–62 Read article
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Evaluating the Efficiency of LLMs-SA (Sentiment Analysis) via Social Media Texts
Abstract: Sentiment analysis (SA) is becoming popular in business and scientific communities as the processing of natural language (NLP), computational linguistics, text analytics, image-based processing or video- based processing is used in extracting and mining subjective information in the web, social network, etc. It is able to detect positive, negative or neutral information and can be selected to absorb polarity, sentiments, urgency and goals of mount importance. The majority of the …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 3, 2025 Read article