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373 articles for “extraction”
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Recent Advances in Hand Gesture Recognition: A Review of Algorithms and Applications
Abstract: When it comes to human communication, hand movements are crucial in sign language. People who are Deaf or Hard of Hearing communicate with hand gestures. The experimental plan of action makes use of a reasonably priced, solid-position web camera with a 10 mega pixel resolution that is mounted on the computer monitor's outer border. It takes pictures using Red, Green, and Blue [RGB] to enlarge space from a tight distance. …
Published in International Journal of Analog Integrated Circuits · Vol. 9, Issue 2, 2023 · pp. 22–28 Read article
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Performance Comparison of Handwritten Digit Recognition Using Machine Learning Techniques
Abstract: Handwritten pattern, character and digit recognition has always been the most demanding and interesting fields of image processing. The objective of this work is representing and demonstrating the algorithms which are used to recognize handwritten digits. Recognition of handwritten digits has always a bit complex, but it is mostly used in various day-to-day applications. In the task of recognition, the digits are not correctly or accurately scripted or written as …
Published in International Journal of Digital Communication and Analog Signals · Vol. 7, Issue 1, 2021 · pp. 9–18 Read article
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A Novel Honey Badger Optimization MPPT Control for a High Gain Non-Isolated DC–DC Converter for PV Applications
Abstract: The Pulse-width modulation (PWM), a technique used by DC-DC power converters, is currently a hot topic in a variety of applications, including those utilising renewable energy sources. Thus, A novel, The development of a very effective non-isolated converter. To extract the maximum PV system power. In varying weather conditions, maximum power is used to control PV system loading. The maximum power of a PV system is controlled using a fractional …
Published in International Journal of Electrical Power System and Technology · Vol. 9, Issue 1, 2023 · pp. 38–50 Read article
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Deep Learning Approach Based Brain Tumor Detection
Abstract: The brain tumor is one of the most deadly disease which is of great concern and hence to detect and extract the effected tumor area in the brain from the MRI has lot of research potential. It is also a very difficult task to perform by the experts. The perfection of the vivisection depends on how much experienced the radiologist or the clinical expert is. So to overcome the wastage …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 8, Issue 1, 2022 · pp. 57–63 Read article
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Depression Detection System
Abstract: Traditionally, depression was identified through in-depth clinical interviews, during which the psychologist would analyze the subject’s responses to ascertain his or her mental condition. With the prevalence of depression increasing, some automated and trustworthy methods of depression recognition are needed. Our Objective it to design a model that can extract relevant features automatically as an input using efficient machine learning algorithms and further detect the depressive state of the user …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 9, Issue 1, 2023 · pp. 28–37 Read article
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Study on Hazardous Explosives
Abstract: The Mining sector uses explosives to extract ore and discover orebodies, according to the Canadian Explosives Research Laboratory. Oil and gas companies use them to construct pipelines, the forest business uses them to construct roads, and the construction industry uses them to construct infrastructure. Explosives are required by the aerospace sector to power the rockets that launch satellites into orbit. Among other things, explosives are necessary for the rocket fuel …
Published in International Journal of Energetic Materials · Vol. 7, Issue 2, 2021 · pp. 26–33 Read article
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Review on Electrolytic Process by Refining the Metals
Abstract: Electrolysis is a method of purifying impure metals. The crude metal that needs to be refined serves as the anode in an electrolytic cell while the metal that has been purified serves as the cathode. To ensure that the metal at the cathode is reduced extremely specifically, the electrode potential is chosen. Impurities are left behind in the electrolyte liquid as the metal is transferred from theunrefined metal of the …
Published in International Journal of Metallurgy and Alloys · Vol. 8, Issue 1, 2022 · pp. 5–9 Read article
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Thermal, Mechanical, Morphological and Rheological Behavior of HDPE and Algae Based Polysaccharide Blend
Abstract: The use of renewable resource based materials as filler for thermoplastic polymers showed wide scope in agriculture, textile and commodity applications due to low cost and high mechanical properties. In this work marine red algae based polysaccharide was used as a filler material for high density polyethylene (HDPE). The polysaccharide extracted from marine based red algae is a byproduct of algae to oil extraction process. The blends were prepared using …
Published in International Journal of Polymer Science and Engineering · Vol. 7, Issue 1, 2021 · pp. 35–44 Read article
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Fault Diagnosis of Helical Gear Box Using Variational Mode Decomposition with Naïve Bayes and Bayes Net Classifiers through Vibration Signals
Abstract: Gear is a very important machine component which finds use in most of the machines which requires some sort of power transmission or reduction. Unattended faults in gears can be catastrophic for the machine leading to halts in production and consequent economic loss. The requirement for a gear fault detection and diagnosis system is thus emphasized. Vibration signals are often used in fault diagnosis applications along with Fast Fourier transform …
Published in International Journal of Manufacturing and Materials Processing · Vol. 1, Issue 1, 2014 · pp. 1–16 Read article
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CyberSentinel: A Proposed Hybrid AI Framework for Real-Time Cyber Threat Intelligence
Abstract: Modern cyberattacks have grown far more sophisticated, frequent, and fast-moving than the signature-based intrusion detection systems many organizations still rely on. This paper proposes CyberSentinel, a hybrid artificial intelligence framework for real-time cyber threat intelligence (CTI) that combines three complementary techniques into a single detection pipeline: a Convolutional Neural Network–Long Short-Term Memory (CNN-LSTM) module for network traffic anomaly detection, a Random Forest ensemble for structured log classification, and a transformer-based …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 12, Issue 2, 2026 Read article
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General and Organic Chemistry Laboratory Experiments for Science, Pre-medical, and Pharmacy Students – Chapter V: Organic Synthesis
Abstract: Organic synthesis can be classified into many types, including simple one-step synthesis, multi-step, one-pot, microwave, or green synthesis. Each type of synthesis takes place through a specific pathway depending on reactants involved, the reaction conditions, the catalyst, the protection group, and the duration of the reaction. In some cases, the required compound can be prepared by more than one procedure, and an expert chemist prefers the procedure by which the …
Published in International Journal of Analytical and Applied Chemistry · Vol. 12, Issue 2, 2026 · pp. 8–16 Read article
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Sonochemical Synthesis of Copper Nanoparticles:Process Fundamentals, Scale-Up Challenges, andIndustrial Opportunities
Abstract: The sonochemical synthesis of copper nanoparticles (Cu NPs) has emerged as a powerful and widely investigated strategy in nanomaterials research, owing to the unique physicochemical conditions generated during ultrasonic irradiation. Acoustic cavitation induced by sonication produces transient microenvironments characterized by extremely high local temperatures, pressures, and rapid cooling rates, which collectively enable efficient reduction of copper precursors into nanoscale particles. These conditions cannot be easily achieved through conventional synthetic routes, …
Published in International Journal of Chemical Engineering and Processing · Vol. 12, Issue 2, 2026 · pp. 37–43 Read article
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A Chemical Thorn in the Heart of Flowers: An Investigation into Chemical Preservation of Commercial Flowers and Its Health Implications
Abstract: The increasing demand for fresh flowers during festive occasions, religious ceremonies, and wedding seasons has led to the widespread use of chemical preservation techniques throughout the floral supply chain. Flowers – such as jasmine, rose, chrysanthemum, and marigold – are traditionally valued for their natural fragrance, freshness, and aesthetic appeal. However, to meet market demands and extend their commercial value, various chemical agents are increasingly applied to delay senescence and …
Published in International Journal of Green Chemistry · Vol. 12, Issue 2, 2026 · pp. 1–18 Read article
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Detailed survey on detection of Dirtiness of PV panels using different approaches
Abstract: The accumulation of dust, dirt, bird droppings, pollen, and other environmental contaminants on photovoltaic (PV) panels significantly reduces their power generation efficiency and increases operational and maintenance costs. Therefore, timely and accurate detection of the cleanliness condition of solar panels is essential for maintaining optimal energy production, improving system reliability, and extending the operational lifespan of PV installations. In recent years, considerable research interest has been directed toward automated soiling …
Published in International Journal of Electrical Power System and Technology · Vol. 12, Issue 2, 2026 Read article
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Classification of power quality disturbances using advanced deep learning algorithms for Accurate and efficient electrical signal analysis
Abstract: Power systems today have to deal with more and more power quality issues (PQDs) like voltage drops, rises, harmonics, and transients because more people are using renewable energy sources and electronic devices. These problems can hurt equipment, stop services, and lower the overall reliability of power. In real-time settings, traditional detection methods often don't work as quickly or accurately as they should. This paper looks at how deep learning models, …
Published in International Journal of Power Electronics Controllers and Converters · Vol. 12, Issue 2, 2026 Read article
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Establishment of a Sensitive LC-MS Method for Pharmacokinetic Evaluation of Decitabine and Cedazuridie in Rat Plasma
Abstract: A simple, rapid, and highly sensitive liquid chromatography–mass spectrometry (LC–MS) method was successfully developed and validated for the simultaneous determination of Decitabine and Cedazuridine in plasma matrices. The method demonstrated excellent linearity across the selected calibration range, with correlation coefficients (R²) consistently exceeding 0.999 for both analytes, indicating strong analytical performance. Method validation was carried out in accordance with ICH Q2(R2) and US FDA bioanalytical method validation guidelines, ensuring compliance …
Published in International Journal of Green Chemistry · Vol. 12, Issue 1, 2026 · pp. 34–42 Read article
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A Comparative Study of JWT and Web Authn for Password less Authentication in MERN Stack Applications
Abstract: More than 80% of web application breaches are rooted in credential compromise, yet password-based login continues to be the default choice in most MERN stack deployments. This paper reports on a side-by-side implementation of JSON Web Token (JWT) and Web Authentication (WebAuthn) within a shared MERN reference application built on React 18, Express.js 4.18, Node.js v20 LTS, and MongoDB Atlas M10. The JWT branch uses bcrypt at cost factor 12 …
Published in International Journal of Electrical Power System and Technology · Vol. 12, Issue 2, 2026 Read article
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Advances in Genetic Enhancement, Processing Innovation and Sustainable Valorization of Jute (Corchorus spp.): A Critical Review
Abstract: The accelerating global shift toward environmentally responsible material systems has intensified scientific and industrial interest in lignocellulosic bast fibres. Jute (Corchorus spp.) remains one of the most economically and ecologically significant natural fibres due to its renewability, biodegradability, and substantial contribution to rural livelihoods. This review critically synthesizes contemporary progress in genetic improvement, fibre structural optimization, retting biotechnology, surface engineering, and composite integration. Emphasis is placed on genomics-assisted breeding, targeted …
Published in International Journal of Plant Biotechnology · Vol. 12, Issue 2, 2026 · pp. 10–18 Read article
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A Comprehensive Review of AES-Integrated DWT Watermarking Techniques for Image and Video Authentication
Abstract: The exponential growth of digital media production, distribution, and online sharing has intensified the need for reliable mechanisms that ensure image and video authenticity. With the rise of advanced editing tools and deepfake technologies, safeguarding multimedia content from tampering, unauthorized replication, or malicious manipulation has become a critical research challenge. Traditional cryptographic solutions provide confidentiality but fail to maintain post-decryption integrity, whereas watermarking techniques ensure persistent ownership verification but often …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 12, Issue 2, 2026 Read article
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AI-Based Image Detection of Rice Crop Diseases Using Deep Learning and Grad-CAM
Abstract: The Indian economy relies heavily on agriculture, and rice is one of the most significant staple crops grown in the country. Nevertheless, rice cultivation faces numerous challenges due to several leaf diseases, such as bacterial leaf blight, brown spot, and leaf smut. These diseases can lead to substantial yield losses and financial burdens for farmers. Therefore, the early detection and classification of these diseases are essential to minimize crop damage …
Published in International Journal of Plant Biotechnology · Vol. 12, Issue 2, 2026 Read article