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1963 articles for “Octadec-9-enoic acid methyl esters” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Ghee: Traditional and Industrial Production, Nutritional Value, and Health Effects
Abstract: Ghee is a highly clarified form of butterfat that has been widely used as an important culinary ingredient in South Asian households and traditional practices. This study provides a comprehensive overview of ghee, focusing on its production, characteristics, nutritional composition, major commercial brands, and potential effects on human health. Ghee is produced through the concentration of milk fat, followed by heat clarification and the removal of moisture and milk solids. …
Published in Research and Reviews : Journal of Dairy Science and Technology · Vol. 15, Issue 2, 2026 · pp. 34–41 Read article
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Water Sanitation and Waterborne Disease Incidence among Households: A Cross-Sectional Study
Abstract: The study was conducted to assess water sanitation practices and the incidence of waterborne diseases among households in a selected ward of Koodalloor Panchayath, Kottayam, Kerala. The objectives were to assess the sources of household water, evaluate water sanitation and safety practices, and identify the incidence of waterborne diseases among family members during the previous year. A community-based descriptive study design was adopted. A total of 138 households were selected …
Published in Journal of Nursing Science & Practice · Vol. 16, Issue 2, 2026 · pp. 26–30 Read article
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Artificial Intelligence–Driven Decision Support Systems for Smart and Efficient Data Analysis
Abstract: Artificial Intelligence (AI) has emerged as a transformative technology reshaping the way organizations process information, analyze data, and support decision-making. With the rapid growth of digital data across sectors, traditional analytical methods often face limitations in handling large, complex, and dynamic datasets. AI-based techniques, particularly machine learning and intelligent decision support systems, provide advanced capabilities for identifying hidden patterns, predicting outcomes, and assisting in data-driven decisions. This paper examines the …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 3, 2025 Read article
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Adaptive and Explainable ML Framework for Personalized E-Commerce User Experience and Satisfaction
Abstract: The user experience and user satisfaction have taken the center of the stage as a determinant of platform success in the fast-changing e-commerce ecosystem. Conventional recommendation systems are usually run in black-box models that give minimal transparency and dynamicity to altered user preferences. The study will introduce a personalization framework of explainable machine learning (XML) based on explainable artificial intelligence (XAI) and hybrid recommendation strategies. The model uses Collaborative Filtering …
Published in Current Trends in Information Technology · Vol. 16, Issue 2, 2025 · pp. 23–32 Read article
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A Multimodal AI-Based System for Real-Time Harassment and Violence Detection Using Surveillance Cameras
Abstract: Public safety in urban settings, as these areas are crowded and experience increasing incidents of harassment, verbal abuse, and physical violence. Traditional CCTV surveillance systems heavily rely on human operators who have to continuously monitor the video feeds, which is inefficient and prone to human error. AI-based harassment and violence detection systems automatically monitor public environments in real-time using video and audio analysis. The system is based on a multilayer …
Published in Journal of Advancements in Robotics · Vol. 13, Issue 2, 2026 · pp. 8–21 Read article
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Blockchain and Web3 Infrastructure Automation Using Shell Programming: Security, Efficiency, and Best Practices for Decentralized Systems Management
Abstract: Blockchain and Web3 systems demand automation that is transparent, secure, and fully auditable, which is essential when managing nodes, deploying smart contracts, and maintaining decentralized infrastructure. This research paper explores how shell programming can effectively support these operations across Ethereum, Hyperledger Fabric, and Polkadot networks. The analysis draws from 180 practical automation scenarios covering node setup, synchronization, smart contract pipelines, monitoring, and security hardening. Shell-based scripts were compared directly against …
Published in Journal of Advances in Shell Programming · Vol. 13, Issue 2, 2026 · pp. 1–8 Read article
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Population-Based Cancer Epidemiology of Sikkim, India: Incidence Patterns, Demographic Distribution, and Public Health Implications
Abstract: Background: Cancer incidence in India shows marked regional variation due to differences in ethnicity, lifestyle, environmental exposure, and healthcare access. Sikkim, a small Himalayan state with unique demographic characteristics, has been covered by a Population- Based Cancer Registry (PBCR) under the National Cancer Registry Programme (NCRP), yet detailed analytical interpretations remain limited. Objectives: To conduct an in-depth epidemiological analysis of cancer incidence in Sikkim using PBCR data, examining site- specific …
Published in International Journal of Pathogens · Vol. 3, Issue 2, 2026 Read article
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CMC/SWCNT Nanocomposites for Sustainable Smart Metering Sensors: Percolation-Driven Structure–Property Optimization, Experimental Validation, and Literature Benchmarking
Abstract: Biodegradable sensing materials are needed for sustainable smart electricity metering, yet cellulose/single-walled carbon nanotube (SWCNT) systems lack a unified percolation and structure–property description. This study develops carboxymethyl cellulose (CMC)/SWCNT nanocomposite films by solution casting, with SWCNT loadings of 0.0–5.0 wt%, and evaluates their electrical, mechanical, thermal, sensing, and biodegradation behavior. Percolation analysis of the insulator-to-conductor transition gave a critical threshold (φc) of 0.9 ± 0.1 wt% and a critical exponent …
Published in Journal of Polymer & Composites · Vol. 14, Issue 5, 2026 Read article
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A Study on Cost of Production of Coir Fibre for the Micro and Small Coir Units in and around Tirunelveli District
Abstract: The present study will throw light on manufacturing and marketing of coir units and their economic viability, which would enable other activities. The results obtained from the study would be useful in making suggestions to the manufacturers to overcome the constraints in the production and marketing process of coir units. The problems identified in the study would help the policy makers to develop right policy package to overcome the constraints …
Published in E-Commerce for Future & Trends · Vol. 5, Issue 3, 2018 · pp. 25–27 Read article
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Performance Evaluation of Autism Diagnosis Tool at Diverse Learning Rates
Abstract: Abstract: Artificial Neural Networks (ANN) has been considered as a major artifact in the scenario of Machine Learning, which needs optimization for more accurate and efficient results. The main aim of this paper is to identify the optimization techniques and their learning rates for ANN with better results. In this paper, we have been utilized “Keras” library for framing ANN with different optimization techniques. The evaluation of the optimization techniques …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 6, Issue 2, 2019 · pp. 92–99 Read article
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Bangla Handwritten Digit and Basic Letter Recognition Using Machine Learning Techniques
Abstract: AbstractThe usage of computer is increasing day by day in Bangladesh, so the use of Bangla is increasing in computer. Furthermore, the use of Bangla handwritten character is also increasing in many computer applications. There exist many techniques for recognition of handwritten character. From the studies we see that machine learning techniques are better techniques for recognition of handwritten character than others. A necessary prerequisite for measuring the performance of …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 3, Issue 3, 2016 · pp. 1–15 Read article
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Implementation of Shell Programming Scripts with Features
Abstract: A shell programming is a PC program intended to be controlled by the Unix shell, a command-line interpreter. The different vernaculars of shell contents are viewed as scripting dialects. Tasks performed by shell contents incorporate record control, program execution, and printing content. A content which sets up nature, runs the program, and does any fundamental cleanup, logging, and so on is known as a wrapper. The expression is additionally utilized …
Published in Journal of Advances in Shell Programming · Vol. 7, Issue 1, 2020 · pp. 14–21 Read article
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Extended Cryptosystem
Abstract: In this paper, we propose Discrete Logarithm Problems (DLPs) over finite extension Fields. Consequently we propose Public Key Cryptosystems (PKCs), corresponding to these DLP As we know all the DLPs so designed are based on Galois Field of order p. More emphasis is given on algebraic aspect of the respective Galois Fields for DLPs defined therein.2000 Mathematics Subject Classification Number: 94A60.Keywords and Phrases: DLP, Finite Extension Field, PKCs, Galois Field, …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 7, Issue 2, 2020 · pp. 9–12 Read article
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Fake News Detection Using N-Gram Analysis and Machine Learning Algorithms
Abstract: Fake news is untrue information presented as news. Fake news easily spread than real news amongst social networking sites. Detection of fake news is an important emerging research area which is gaining popularity. The main challenge in fake news detection is limited availability of resources (datasets). This project work detects fake news using n-gram analysis and machine learning algorithms. Evaluation and comparison between two feature extraction technique namely Term Frequency …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 8, Issue 1, 2021 · pp. 33–43 Read article
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Pattern Extraction and Classification of ECG Signals using Neuro-Fuzzy Techniques
Abstract: Electrocardiography is a technique which provides the interpretation of the electrical activity of the heart over a period of time. The condition of cardiac health is given by Electrocardiogram (ECG) and heart rate. This paper represents the techniques, which extracts features from the ECG signals and classify them. ECG signal were taken from preselected data segment of the MIT‐BIH Arrhythmia Database. Pattern extraction provides the PQRST-wave values, heart rate and …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 1, Issue 3, 2014 · pp. 1–7 Read article
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Diabetic Level Prediction in Humans: Using Supervised Machine Learning Methods
Abstract: Diabetes could be an unremitting malady or a metabolic sick wellbeing cluster where an individual endures from a pervasive sum of insulin-producing blood glucose within the body or since the cells of the body do not react to affront. Steady diabetes hyperglycemia is the damage to long term organs, particularly lungs, kidneys, nerves, the heart and the veins are connected to weakness and misfortune. The objective of this investigation is …
Published in Recent Trends in Parallel Computing · Vol. 7, Issue 1, 2020 · pp. 1–6 Read article
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DeMe-Net Model to Diagnose Skin Cancer Disease from Skin Lesion
Abstract: Skin cancer is a quite common disease in the world and Melanoma is one of the serious types of skin cancer. It begins in melanocyte cells. Skin irritation or tanning due to UV radiation triggers changes in melanocytes, leading to uncontrolled growth of cells. It can potentially develop and spread if it is not treated early. The biopsy is a traditionally used method to diagnose skin cancer in which a …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 8, Issue 3, 2021 · pp. 10–20 Read article
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Vegetation Classification Based on Leaf Pattern
Abstract: In this current world, vital species of plants are going to be lost day by day. To command, this phenomenon, steps are first discovering then restoring and retain them. Among them, spotting of plant is giving up challenging. Usually, plants are recognizing from their leaves. In this paper, a deep neural network model is implemented which will extract the hidden pattern form leaf images. A classifier named as Convolutional Neural …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 8, Issue 3, 2021 · pp. 9–16 Read article
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Segmentation and Classification of Hand Gestures for Indian Sign Language with YCbCr and HSV Color Models with Dissimilar Signers Under Different Lighting Conditions using AlexNet
Abstract: Indian Sign Language (ISL) Recognition System can be implemented by considering the signs as hand gestures and developing a hand gesture recognition system. The impact of illumination changes on the performance of segmentation and classification where different lighting conditions such as normal, bright, dim, and artificial light under different color spaces like RGB, HSV and YCbCr are studied, and performance parameters are analyzed. It is observed that YCbCr color space …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 10, Issue 1, 2023 · pp. 37–50 Read article
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CNN-based Approach for Efficient Bell Pepper Leaf Disease Recognition
Abstract: Convolutional Neural Networks (CNNs) have achieved remarkable results in the detection of diseased plant leaves, providing highly accurate predictions. This project offers a comprehensive examination of existing systems designed for the detection of plant-based diseases. Using CNN trained on a dataset of bell pepper plant images, various simulation approaches for neurons and layers were employed. Plant diseases have significant impacts on agricultural productivity, leading to economic losses, reduced crop quality, …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 10, Issue 3, 2023 · pp. 16–22 Read article