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372 articles for “Extraction process”
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Valorization of Shrimp Processing Waste by Green Methodology and its Application in Chitosan-PEG Composite Film
Abstract: Shrimp processing waste is mostly unidentified marine by product, presents considerable environmental pollution which also offers a rich but not fully exploited sources of biopolymers. The current work presents a sustainable method to convert shrimp processing waste into chitosan a biopolymer by green methodology. Isolation of chitin to chitosan from shrimp processing waste was carried through four green methodology steps i. Demineralization using citric acid ii. Deproteinization using papain iii. …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 1154–1162 Read article
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AI Driven IoT based Satellite remote sensing system: KSK Approach in Satellite Remote Sensing
Abstract: The convergence of the Internet of Things (IoT) and satellite remote sensing has traditionally been bottlenecked by massive data latency and limited downlink bandwidth. This paper proposes a decentralized framework for an "AI-Driven IoT-based Satellite Remote Sensing System," which shifts the paradigm from raw data transmission to onboard edge-intelligence. By integrating lightweight convolutional neural networks (CNNs) directly into satellite payloads, the system performs real-time feature extraction and anomaly detection before …
Published in International Journal of Satellite Remote Sensing · Vol. 4, Issue 1, 2026 · pp. 50–57 Read article
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Formulation and Evaluation of Polyherbal Soap with Antibacterial and Dermatological Benefits: A Polymer Chemistry Approach
Abstract: This study investigates the formulation and evaluation of polyherbal soap composed of extracts from Vitex negundo, Azadirachta indica, and Curcuma longa. These plants possess significant antibacterial, dermatological, and skin-nourishing properties. The soap formulation follows a saponification process using coconut oil and sodium hydroxide as primary reactants, incorporating polymer chemistry principles in soap structuring and stability. Polymers such as polysaccharides and fatty acid chains contribute to the stability, viscosity, and foaming …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 158–164 Read article
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Effects of Oil Extraction Methods on Bio-diesel Production from Wild Grape Seeds: A Case Study of Soxhlet Extraction and Mechanical Press Engine Driven Expeller Methods
Abstract: In this research, two samples of wild grape seeds (Lannea Microcarpa) were used to produce biodiesel. The first sample was washed; dried and powdered, oil was extracted from the sample using soxhlet extraction method with n-hexane as solvent. The second sample was washed and dried, oil was extracted from the sample using mechanical press engine driven expeller. The oil yield from the first method was 33.3% while the oil yield …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 6, Issue 1, 2015 · pp. 35–40 Read article
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A Conceptual Exploration of Carbohydrate, Protein, and Fat Metabolism within the Realm of 3D Computational Biology
Abstract: Maintaining energy balance within the body is just as crucial as other vital physiological processes. Energy is generated through a myriad of chemical reactions occurring within the cells of all living organisms. This unique characteristic enables living organisms to extract energy from their surroundings and utilize it for essential activities such as growth, development, and reproduction. While it is commonly assumed that individuals with lower body weight have higher metabolic …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 11, Issue 1, 2024 · pp. 55–62 Read article
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MediSense AI - Smart Health Analysis System
Abstract: MediSense AI is a revolutionary health analysis system that empowers users by transforming complex medical data into understandable insights. This platform utilizes advanced technologies, particularly natural language processing and machine learning, to make intricate medical terminologies accessible to individuals without a healthcare background. Leveraging Llama 3, a cutting-edge AI model developed by Meta AI, the system can analyze various forms of medical data, including the ability for users to upload …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 14, Issue 3, 2024 · pp. 20–30 Read article
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Image Processing Techniques for Detecting and Classification of Leaf Diseases
Abstract: Plants are the way to make a living. From the factors of our daily life to breathing we are totally dependent on plants. Therefore, plant care must be proper. Plant diseases involve, of instance, algae, bacteria, and viruses. Several researchers have to classify plant diseases but it is time consuming to manually identify them. Image processing techniques are used to detect various diseases of the plant. There are several steps …
Published in Trends in Opto-electro & Optical Communication · Vol. 11, Issue 2, 2021 · pp. 1–6 Read article
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Thermal and Thermoelectric Generation Using Geothermal Energy Extraction Through Cogeneration System
Abstract: The manuscript has focused on the evaluation of the improvement of energy efficiency in using geothermal energy for heat and electricity generation through additional thermoelectric production to conventional heat transfer processes. The proposed system uses Peltier rings made up of a serial and parallel Peltier cells grouping, as part of the upward and downward ducts that connect the geothermal heat exchanger and the surface heating system. The new system can …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 11, Issue 1, 2020 · pp. 58–71 Read article
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Countering Counterfeiting: Global Challenges and Technological Advances
Abstract: Fake notes are a global issue. Indian is only one among several. Anyone may now print counterfeit notes thanks to advancements in technology. These notes are created without the state’s legal sanction, and the ongoing production of such notes could hurt a country’s economy. When counterfeit notes are created and distributed, ordinary people cannot identify the difference between real and phony money since they are identifiable by their physical qualities. …
Published in Current Trends in Signal Processing · Vol. 14, Issue 2, 2024 · pp. 31–36 Read article
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Isolation and Characterization of Glucuronide Compound from Luffa Tuberosa (Roxb.) for Potential Applications in Polymer Chemistry
Abstract: This study explores the isolation process of glucuronide compounds from Luffa tuberosa (Roxb.) using an efficient and cost-effective method. The extracted compound, Gypsogenin-3β-O-β-D-Methyl glucuronide, is characterized using spectroscopic techniques such as IR, NMR, and Mass Spectrometry. The polymeric nature of glucuronide-based compounds and their potential applications in polymer and composite materials are discussed. The findings highlight the suitability of glucuronide derivatives in biomedical, pharmaceutical, and polymeric drug delivery systems. Additionally, …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 566–572 Read article
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Carbon dioxide injection to remove shale gas from sedimentary clayey schists
Abstract: This paper proposes an alternative method to the fracking technique to obtain shale gas, injecting compressed carbon dioxide in the subsoil. The injection of a pressurized gas like carbon dioxide into a porous media provokes the removal of existing gas into the pores, provided the pressure of the injected gas is high enough. The design of the adequate geotechnical structure makes it possible to inject pressurized carbon dioxide and extract …
Published in Journal of Geotechnical Engineering · Vol. 10, Issue 1, 2023 · pp. 38–49 Read article
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Fake Product Detection Using Convolutional Neural Networks
Abstract: The widespread circulation of counterfeit products in global markets presents a significant threat to both consumer trust and the integrity of established brands. With the advancement of artificial intelligence, particularly deep learning, there is growing potential to develop more sophisticated systems to combat this issue. This study introduces a novel counterfeit detection framework using the VGG16 Convolutional Neural Network (CNN) to distinguish between authentic and counterfeit products through image analysis. …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 3, Issue 2, 2025 · pp. 08–15 Read article
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APPLICATIONS OF VIRTUAL INSTRUMENTATION IN DIFFERENT DOMAINS OF EMBEDDED SYSTEMS
Abstract: This research work has intended to identify the clusters of embedded systems where the application ofvirtual instrumentation concept can be used; one can apply the concept of virtual instrumentation fordeveloping different applications of signal and image processing, automotive, mechatronics, control andsimulation, embedded software designing, HDL & microprocessor coding etc. The graphical tool used invirtual instrumentation such as LabVIEW can be used for designing various applications of differentembedded system domains. With …
Published in Journal of Control & Instrumentation · Vol. 1, Issue 1-2-3, 2011 · pp. 19–24 Read article
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A Review on Manihot Esculenta Species
Abstract: Manihot esculenta, which is commonly known as Cassava, is a woody shrub that provides a high source of carbohydrate. It is an annual crop native to tropical and subtropical regions of the world. Nigeria is the largest producer of the cassava plant. The parts of the plant like leaves, roots, stems, etc are consumed in a variety of ways as they have been shown to possess activities like analgesic, anti-inflammatory …
Published in Research & Reviews : Journal of Botany Read article
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Advancements in AI-Driven Sound Spectrogram Analysis: From Deep Learning to Quantum and Neuromorphic Processing
Abstract: The rapid advancement of artificial intelligence (AI) has significantly reshaped the field of audio signal processing, with sound spectrogram analysis emerging as a central research focus. Spectrograms provide a rich time–frequency representation of audio signals, making them particularly suitable for data-driven learning approaches. This paper presents an in-depth and original review of modern AI-based techniques applied to spectrogram analysis, highlighting their growing impact across critical application areas such as healthcare …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 13, Issue 1, 2026 · pp. 01–06 Read article
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Microwave Processing of Foods: Applications and Future Perspectives
Abstract: This paper introduces microwave-assisted processing of foods, fundamental principles and future perspectives provides a comprehensive exploration of the evolving landscape of microwave technology in the food processing. Despite widespread use in households, the industrial application of microwave processing remains relatively untapped. The narrative delves into specific applications, such as blanching, baking, pre-cooking, thawing and tempering, pasteurization, sterilization, microwave-assisted frying, rapid extraction, drying and inactivation of microorganisms, emphasizing the rapid temperature …
Published in International Journal of Nutritions · Vol. 1, Issue 2, 2024 · pp. 27–32 Read article
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Polymer Chemistry in Sustained-Release Herbal Composites: Designing a Stable Euphorbia tithymaloides Topical System with Phospholipid and Polymer Matrices
Abstract: Polymer chemistry enables the stabilization and sustained release of herbal actives, critical for topical therapeutic applications. This study explores a novel process for preparing a stable, sustained-release topical composition of Euphorbia tithymaloides, leveraging polymer-based systems. Ethanolic extract (50 mg) of the plant, rich in unstable sugar moieties (e.g., D-ribose) and sterols (e.g., stigmasterol), is encapsulated within a phospholipid matrix of phosphatidylcholine (50–100 mg) and cholesterol (50–100 mg). This lipid-polymer complex, …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 165–171 Read article
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AI Powered Fault Detection in DC Motor using STM32
Abstract: This work presents the design and implementation of an embedded artificial intelligence system for real-time fault detection in a direct current (DC) motor using the STM32 Nucleo- F411RE microcontroller. The objective of the study is to develop a low-cost and efficient predictive maintenance solution capable of identifying abnormal motor behavior at an early stage. Vibration and temperature signals are acquired using an MPU6050 sensor and processed directly on the microcontroller …
Published in Journal of Control & Instrumentation · Vol. 17, Issue 1, 2026 · pp. 39–49 Read article
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Petroleum sludge treatment and oil recovery: Review paper
Abstract: Oily sludge is a type of semi solid hydrocarbon waste material that produced by the petroleum industry. It is generally mixture of water, crude oil, and sludge that is solid matter. As it contains large amounts of various types of hydrocarbon like paraffinic hydrocarbon, saturated and unsaturated hydrocarbon, cycloalkanes, aromatic compound , poly aromatic hydrocarbon, benzene series, polycyclic aromatic hydrocarbons, some metals, sulphur, nitrogen and other toxic and harmful substances, …
Published in Journal of Petroleum Engineering & Technology · Vol. 12, Issue 1, 2022 · pp. 24–33 Read article
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A Review on Detection of Autism Spectrum Disorder Using Signal Processing
Abstract: AbstractAutism is a neural developmental disability associated with impairments in communication and social interaction; it can be detected by various methods such as Magnetic Resonance Imaging (MRI) and Electroencephalography (EEG). MRI is a technique which captures the image of various sections of brain. It is categorised as structural MRI (sMRI) and functional MRI (fMRI). The detection involves capturing the image, removing the unwanted regions of brain, segmenting the images and …
Published in Current Trends in Signal Processing · Vol. 8, Issue 2, 2018 · pp. 12–24 Read article