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372 articles for “Extraction process”
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Synergistic biofuel production, refractometric monitoring and trypsin digestion studies from Clitoria ternatea, Cymbopogon citrates and Saccharomyces cerevisiae
Abstract: The rising demand for renewable and green energy sources has encouraged researchers to seek sustainable alternatives to fossil fuels. In the present study, an investigation was conducted on the synergistic production of biofuel from plant materials of Clitoria ternatea and Cymbopogon citratus with microbial fermentation by Saccharomyces cerevisiae. The study also evaluated the refractometric monitoring and trypsin digestion activity for the understanding of biochemical changes during biofuel production. The oil …
Published in Research and Reviews : A Journal of Biotechnology · Vol. 16, Issue 2, 2026 Read article
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Textual Clues to Stress: A Machine Learning Approach
Abstract: Nowadays, numerous individuals utilize social media platforms to share tweets about their daily lives, which often reflect their mental well-being. Recognizing and managing stress is essential before it becomes a serious issue. Each day, a significant volume of informal messages is posted on discussion forums, blogs, and social networking sites. This study introduces a method for detecting stress using information gathered from social media, with a focus on Twitter. The …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 1, 2025 · pp. 72–76 Read article
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Integrating Deep Learning and Computer Vision for Recognizing American Sign Language
Abstract: The only way the hearing-impaired community can exchange ideas is by utilizing non-verbal communication. The main challenge, however, is that the non-impaired community, which may not comprehend non-verbal communication, would struggle to communicate effectively with this group, and vice versa. The project is purposely devised to admit unwilling and dumb societies to transport ideas and connect with the organization. It aims to bridge the gap between the hearing- and speech-impaired …
Published in Current Trends in Information Technology · Vol. 14, Issue 3, 2024 · pp. 10–17 Read article
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Deep Learning Applications in Bone Fracture Detection for Improved Radiographic Diagnostics
Abstract: Bone fracture detection is a critical aspect of medical diagnostics, traditionally relying on manual interpretation of radiographic images by experienced radiologists. This discipline has undergone a revolution with the introduction of machine learning (ML), which can improve accuracy, shorten diagnosis times, and lessen human error. This study investigates the use of different machine learning methods to enhance and automate the identification of bone fractures in radiography pictures. We utilized a …
Published in International Journal of Optical Innovations & Research · Vol. 2, Issue 2, 2024 · pp. 17–22 Read article
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Kinetics of Soil Contaminant Degradation Enhanced by Jatropha Tanjorensis Leaf Bio-Stimulant
Abstract: The data obtained from the experiment show a high viability of the plant extracts in the biodegradation process, the maximum specific rate was determined. Also, application of Michael Menten’s equation were also applied, the maximum dissociation rate constant was obtained from lineweaver bulk plot, for both sun-dried and room dried at 100 g of CPED and CPEL as RMAX to be 1000 ppmday-1 and 555.55 ppmday-1 whereas KPTH 3190.16 ppm-1 …
Published in Journal of Catalyst & Catalysis · Vol. 11, Issue 1, 2024 · pp. 01–06 Read article
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Searchable Encryption Based on Key Aggregation
Abstract: The ability to selectively distribute data with individuals in public cloud services may alleviate safety concerns about inadvertent privacy violations in cloud storage. The need for flexibility in sharing specific sets of documents with various user groups requires the use of distinct encryption keys for each document. This undertaking tackles practical difficulties by presenting the notion of Key-Aggregate Searchable Encryption (KASE). Natural language processing was used to extract essential phrases …
Published in International Journal of Data Structure Studies · Vol. 2, Issue 1, 2024 · pp. 21–25 Read article
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Integrated Dam Automation: Real-Time Monitoring and Controlling Using IoT
Abstract: Dam automation is a critical area in water resource management, especially given the rising demand for sustainable and safe water control systems. An integrated approach to dam automation involves implementing advanced sensors and monitoring systems to improve structural safety, water quality, and resource management. This paper presents a comprehensive automation model that combines crack detection, convolutional neural networks (CNNs), water level monitoring, turbidity sensing, and rainfall data to ensure real-time …
Published in Journal of Microcontroller Engineering and Applications · Vol. 12, Issue 1, 2025 · pp. 31–38 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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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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IOT and algorithmic intelligent motor health monitoring as well as maintenance prediction
Abstract: Manufacturing, transportation, and energy systems rely largely on industrial electric motors, and their untimely failure can result in expensive downtime, safety hazards, and decreased operational efficiency. The majority of traditional motor maintenance procedures rely on reactive methods or routine inspections, which frequently miss early-stage problems and lead to needless maintenance or unexpected breakdowns. This project offers an Intelligent Motor Health Monitoring and Predictive Maintenance System that combines Internet of Things …
Published in International Journal of Electrical Machine Analysis and Design · Vol. 4, Issue 1, 2026 · pp. 28–37 Read article
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Development and Comparative Study of Aluminium- Copper Metal Based Composite Through Different Routes
Abstract: The aim of this study is to develop aluminium-copper composite through powder metallurgy technique. Powder metallurgy is an art or technology which can produce exact dimension of final roducts utilizing less energy. Copper oxide (CuO) was used as the source of copper, which was extracted through a reduction process using dextrose. The reaction was thoroughly examined and reported. Commercially available aluminium powder served as source of the aluminium. Aluminium- copper …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 19–32 Read article
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Adaptive-Hysteresis Current Controller Based Shunt Active Power Line Conditioners for Power Quality Improvements
Abstract: This paper presents three-phase shunt active power line conditioners (APLC) for harmonics and reactive powercompensation due to non-linear loads in the distribution network. The compensation process proposed is asinusoidal extraction control method, which consists of positive-sequence voltage detector for regulating thesupply voltage and instantaneous reactive power (p-q) theory for fundamental extraction from the distorted linecurrent. The shunt active filter voltage source inverter’s switching pulses are generated through an adaptivehysteresiscurrent controller …
Published in Journal of Power Electronics and Power Systems · Vol. 1, Issue 1-2-3, 2011 · pp. 1–13 Read article
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Examining the Crowd in Real-time with Deep Learning
Abstract: In this research, a model is proposed that can be used to estimate crowd density in a specific region and to establish social distances in accordance with predetermined rules. This is accomplished utilizing a multi-source model-based approach. In a small public gathering where hand counting is impossible, this technique conducts a survey. To do this, input video frames are extracted, each frame is processed, and then passed to the model …
Published in Journal of Computer Technology & Applications · Vol. 14, Issue 1, 2023 · pp. 41–45 Read article
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Fingerprint Recognition for Crime Scenes Using Deep Learning
Abstract: Crime-scene fingerprint photos are crucial hints for resolving ongoing cases. Using deep machine learning and convolutional neural networks, we provide a comprehensive crime scene fingerprint identification method in this research (CNN). Precision photography and sophisticated physical and chemical processing techniques are used to collect images from crime scenes, which are then kept as databases. It can be challenging to categorize the photographs taken from the crime scene because they are …
Published in Trends in Opto-electro & Optical Communication · Vol. 12, Issue 2, 2022 · pp. 13–18 Read article
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Procedure for Conventional Facial Emotion Detection Algorithms Based on Machine Learning
Abstract: Researchers in psychology, computer science, linguistics, neurology, and allied fields have become more interested in a human-computer interface system for autonomous face recognition or facial expression recognition. This study has recommended an Automatic Facial Expression Recognition System (AFERS). The proposed methodology consists of face detection, feature extraction, and facial expression identification processes. The initial phases of the face detection procedure include skin color identification using the YCbCr color model, illumination …
Published in International Journal of Electronics Automation · Vol. 1, Issue 1, 2023 · pp. 07–13 Read article
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Automated Evaluation of Descriptive Answers
Abstract: This paper offers a smarter system of automatic evaluation of descriptive responses in educational tests. The time-consuming aspect of testing with traditional manual marking, the subjectivity of that process, and the impossibility of scaling it makes it inapplicable, particularly to large academic environments. To resolve the issues, the proposed solution combines the methods of Natural Language Processing (NLP) and hybrid image-text processing on the responses of handwriting and typed answers. …
Published in Emerging Trends in Languages · Vol. 3, Issue 2, 2026 · pp. 1–9 Read article
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Text to Flowchart Convertor
Abstract: With the advancement artificial intelligence tools and software, we can now transform process text into a proper formatted flowchart. This research work mainly focuses on how advancement of technologies has enabled to save time and energy by creating a structured understandable flowchart instead of merely presenting text, thereby converting process text into flowchart. Use of natural language processing (NLP) and libraries of JavaScript has led to easy transformation of text …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 12, Issue 3, 2025 · pp. 18–25 Read article
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Production of Oil from Agro Seeds using Mechanothermal Extraction: A Review of Chemical, Pharmaceutical, and Food Applications
Abstract: The increasing demand for sustainable raw materials and renewable industrial resources has intensified research into the extraction of oils from agro seeds for chemical, pharmaceutical, and food applications. Agro-seed oils are valuable due to their biodegradability, nutritional composition, eco-friendliness, and wide industrial applicability. This review examines the production of oil from agro seeds using mechanothermal extraction techniques with emphasis on extraction efficiency, physicochemical characteristics, and industrial utilization. Mechanothermal extraction combines …
Published in Journal of Catalyst & Catalysis · Vol. 13, Issue 2, 2026 · pp. 09–26 Read article
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The synthetic fuel production using the new method of the Chlorella high quality concentration
Abstract: The microalga concentrates are unique for synthesizing of high quality fuel. The synthetic of high quality fuel production formed because of the possibility of extraction of the raw oil (synthetic fuel) from microalga’s high quality concentrates. The microalga concentrate of Chlorella is the most suitable material for synthetic high quality raw oil production. Existing methods of centrifugation or microfiltration of microalga Chlorella concentration are very expensive. The paper represents the …
Published in Journal of Petroleum Engineering & Technology · Vol. 9, Issue 2, 2019 · pp. 27–31 Read article
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Selective Recovery of Valuable Chemicals from Tire Pyrolysis Oil: A Sustainable Approach
Abstract: The generation of waste/scrap/end-of-life tires (ELTs) poses severe environmental challenges globally. For the disposal of huge numbers of ELTs (generated every year) using conventional recycling methods, like as landfill or incineration, are not preferred due to their adverse environmental impacts. To overcome this problem, an alternative and promising technology is developed -the pyrolysis of waste tires. Pyrolysis is a thermochemical process that decomposes organic materials (Rubber Hydrocarbons) in the absence …
Published in Journal of Catalyst & Catalysis · Vol. 12, Issue 3, 2025 · pp. 31–43 Read article