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372 articles for “Extraction process”
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Simulation Study of Process Variations in Double Gate Junctionless Field-Effect Transistors
Abstract: This work discusses the process variations in symmetrical double-gate (DG) junctionless (JL) field-effect transistors (FETs) by device simulation. Output I-V characteristics along with subthreshold slope increase, DIBL variations with drain voltage and threshold voltage shift variations are systematically analyzed with the general variability issues including oxide thickness, channel thickness and doping concentration. Potential distribution in the body channel region is also analyzed. Optimum values of the variability factors are considered …
Published in Journal of Semiconductor Devices and Circuits · Vol. 2, Issue 2, 2015 · pp. 18–27 Read article
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Automated Plant Disease Detection and Treatment Advisor Using Artificial Intelligence
Abstract: Automated plant disease detection and treatment advisors using artificial intelligence represent a significant advancement in modern agriculture. The identification of plant leaf diseases is essential to maintaining food security and agricultural output. Machine learning models, particularly deep learning algorithms like convolutional neural networks (CNNs), are trained on labeled datasets containing images of healthy and diseased plants. These models learn to classify images into different disease categories with high accuracy. Convolutional …
Published in International Journal of Cheminformatics · Vol. 1, Issue 2, 2023 · pp. 1–7 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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Investigation of Surface Electromyography Signal for an Upper Limb Amputee
Abstract: Surface electromyography (SEMG) is a method to measure the muscle activity of the skin. Sensors placed on the skin detect the electrical current or signal generated by active muscles. Lot of the research has focuses on the detection of signal from upper limb amputee with activity of triceps and biceps muscles. Our main aim of this study is to process the acquired signal from the different muscles of the shoulder …
Published in Current Trends in Signal Processing · Vol. 7, Issue 1, 2017 · pp. 19–28 Read article
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Study the Effect of Cement Waste on Some Mechanical Properties of Acrylonitrile-Butadiene Rubber
Abstract: The basic idea of this paper is to prepare and study the composite rubber material for the manufacturing of an important part in the grain transportation systems in silos of general company for grain trade namely rablat, where it was the experience of this rablat manufactured in the new silo of Hilla/Babylon province for a period of eight months in winches and vector chain was fully proven. In this paper, …
Published in Journal of Catalyst & Catalysis · Vol. 3, Issue 1, 2016 · pp. 11–14 Read article
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Website Summarization Using Deep Learning
Abstract: They are a lot of websites, articles and blogs on the internet with a lot of textual information it is sometimes impossible to read all of them, without knowing the underlying summary of the whole text. The whole concept is to reduce or minimize the entire Textual information into a small summary of important information present in the documents so that we get an idea of what the blog or …
Published in Recent Trends in Electronics Communication Systems · Vol. 9, Issue 2, 2022 · pp. 7–12 Read article
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Chewable Healthcare: The Rising Impact of Gummy Supplements in Modern Medicine
Abstract: Gummy supplements, a chewable dosage form historically associated with pediatric vitamin products, are increasingly recognized as a versatile platform for delivering a wide range of nutraceutical and pharmaceutical agents. Their consumer appeal lies in their palatability, convenience, and the ability to overcome swallowing difficulties—a significant barrier to adherence in multiple patient populations. Recent advances in formulation science have expanded the potential of gummy supplements beyond basic vitamin delivery to include …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 12, Issue 3, 2025 · pp. 52–68 Read article
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Steady State Visual Evoked Potential Based Brain Computer Interface System
Abstract: The steady-state visual evoked potential (SSVEP) is a brain response that can be measured by an electroencephalogram (EEG) when a subject looks at periodic luminance- or contrast-modulated stimuli. In this study, flickering Light Emitting Diode (LED) is used as visual stimulation. Mostly, brain response is recorded using an electroencephalograph (EEG) and recorded in the brain's occipital lobe which is associated with human vision. The study encompasses key stages, beginning with …
Published in Current Trends in Signal Processing · Vol. 13, Issue 3, 2023 · pp. 35–43 Read article
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Extraction, Isolation, Characterization of Curcumin-I From Curcuminoids
Abstract: The major goal of this study is to extract, isolate, and characterize curcumin-I, a component of curcuminoids. Turmeric, or Curcuma longa Linn., plays a significant role in Ayurvedic medicine. Turmeric, or Curcuma longa Linn, is the popular name for this plant. An array of chemicals with biological activity may be more easily extracted with the help of this seasoning. Some of the compounds at play include curcuminoids and turmerone, although …
Published in Journal of Polymer & Composites Read article
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Mechanical Properties of Acrylonitrile-Butadiene Rubber Reinforced by Cement Waste
Abstract: The basic idea of this paper is to prepare and study the composite rubber material for the manufacturing of an important part in the grain transportation systems in silos of general company for grain trade namely rablat, where it was the experience of this rablat manufactured in the new silo of Hilla/Babylon province for a period of eight months in winches and vector chain where fully proven. In this paper, …
Published in Journal of Thin Films, Coating Science Technology & Application · Vol. 2, Issue 2, 2015 · pp. 13–16 Read article
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Innovative Eyewear for the Visually Impaired
Abstract: Object detection systems are essential tools for identifying and locating objects within images or videos. When integrated into spectacles or wearable devices, these systems provide users with real-time information about objects present in their surroundings. This functionality serves diverse purposes, such as assisting visually impaired individuals in navigating their environment or offering augmented reality data to workers during tasks. Region-based Convolutional Neural Networks (RCNN) represent a prominent machine learning model …
Published in International Journal of Optical Innovations & Research · Vol. 2, Issue 1, 2024 · pp. 27–34 Read article
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Semantic Similarity Framework for Automatic Hallucination Detection in Large Language Models
Abstract: Large Language Models can generate fluent, contextually appropriate text across a range of NLP tasks, but they frequently produce outputs that are factually wrong while sounding confident and plausible. This problem, referred to as hallucination, poses serious risks in domains where accuracy matters. We propose a post-processing framework that detects hallucinated responses by comparing them against verified reference text using sentence embeddings. The system computes cosine similarity between the response …
Published in Emerging Trends in Languages · Vol. 3, Issue 2, 2026 · pp. 16–22 Read article
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Lung Cancer Detection and Classification Using Deep Learning
Abstract: Lung cancer is a disease that can be effectively treated if detected early. Various technologies, such as magnetic resonance imaging, isotopes, X-rays, and computed tomography scans, are employed for diagnosis. One of the most crucial strategies in combating cancer is early detection, which greatly enhances a patient’s likelihood of survival; this is where artificial intelligence plays a significant role. The approach proposed in this study leverages historical medical data to …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 13, Issue 3, 2024 · pp. 11–17 Read article
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Video Anomaly Detection using Kalman Based Support Vector Technique
Abstract: AbstractThe digital video processing technology has boomed since last many years. The video processing is done using sum of absolute differences and with the image processing block set. We first calculate motion vectors between successive frames and use them to reduce redundant information. The method uses optical flow algorithm to calculate changes in the intensity of the pixels of the images. Median filtering is used for background extraction which is …
Published in Current Trends in Signal Processing · Vol. 8, Issue 2, 2018 · pp. 4–11 Read article
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Chaya Plant Extract Jatropha tanjorensis: The Concepts of Bioremediation of Contaminated Soil Evaluation
Abstract: This research was carried out to study the performance of sun-dried and room dried Chaya plant extract on the remediation of crude oil contaminated soil samples from Obele Community. The parameters under investigation were Total Petroleum Hydrocarbon degraded((TPHD), pH, amount of Nitrogen, Phosphate, and Potassium, Total organic carbon. Twenty-two (22) batch reactors were used for this research with each reactor containing 1kg of soils samples contaminated with 100ml of crude …
Published in International Journal of Advance in Molecular Engineering · Vol. 1, Issue 1, 2023 · pp. 31–48 Read article
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Optimizing Sentiment Analysis with Naïve Bayes and Random Forest Techniques: A Result-based Approach
Abstract: In the increased digitalization, the sentiment analysis and classification have evolved as an eminent area to determine the polarity of positive, negative, and neutral reviews of the customers and users on products. It is an integral application field that employs supervised learning, Machine Learning, and Natural Language Processing concepts. The proposed Semantic Analysis and Classification using Naive Bayes and Random Forest system accomplishes the sentiment polarity by classifying the user …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 2, 2025 · pp. 46–57 Read article
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Animal Species Prediction Using Deep Learning
Abstract: In the face of escalating biodiversity loss, effective monitoring of animal species is critical for conservation efforts. This study presents a deep learning approach for species detection and a multimodal feature identification technique for animals vulnerable to poaching. The suggested prediction system recognizes objects automatically by the application of deep learning techniques to detect objects and then recognize them by using computer vision techniques, and it is triggered when an …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 13, Issue 1, 2026 · pp. 14–22 Read article
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Continuous Learning in Language Models: A Survey of Streaming Data Processing Techniques
Abstract: The integration of continual learning with Large Language Models (LLMs) and Natural Language Processing (NLP) represents a transformative step toward creating adaptive, intelligent systems capable of functioning effectively in ever-changing environments. Traditional LLMs are typically trained on large, pre-collected datasets, which limits their ability to evolve as new information emerges. Continual learning, in contrast, enables models to acquire new knowledge incrementally without the need for complete retraining, thereby supporting long-term …
Published in Recent Trends in Programming languages · Vol. 12, Issue 3, 2025 · pp. 23–34 Read article
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Metal Oxide Based Thin Film Transistors for Transparent and Flexible Electronics: Critical Review
Abstract: AbstractTransparent and flexible electronics is new emerging research area. Various technologies are available for thin film transistors (TFT). Metal oxide semiconductors are suitable because of their high optical transparency, good electrical performance etc. These devices have advantages of a-Si and organic materials also. Advantages of these devices are low cost, low process complexity and temperature, and large-area scalability and large carrier mobility. In this paper research work is compared. This …
Published in Journal of Electronic Design Technology · Vol. 9, Issue 1, 2018 · pp. 30–40 Read article
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Improving Efficiency of the Focused Web Crawler by Link Score Calculation
Abstract: AbstractThe overwhelming size of the Web enables continuous support and recurring update of Web based information retrieval systems. The Crawler can narrow down the entire process to allow the hyperlinks in Web pages to download a part view of the Web. Meanwhile few systems absolutely depend on crawlers that exclusively crawls the web, and extract the topic specific collections. A focused crawler has the tendency to accumulate particular topics and …
Published in Journal of Computer Technology & Applications · Vol. 4, Issue 1, 2013 · pp. 16–22 Read article