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82 articles for “Value of a tree”
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Analyzing and Predicting Academic Behavior from Peer Pressure Indicators Using Machine Learning
Abstract: The academic achievement of a student is determined by their capability, but also by the companions with whom they associate. Friends can have a positive impact on students' motivation for school, and at times friends are distractions leading to a lack of attention on their school assignments. This particular study focuses on the number and quality of companions students associate with and to what extent that could be used as …
Published in International Journal of Education Sciences · Vol. 3, Issue 2, 2026 · pp. 1–7 Read article
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IoT Based SCADA for Electrical Measurements and Control
Abstract: The suggested system's primary goal is to shield electrical equipment against malfunctions. Thesystem consists of various sensors that deployed strategically on electrical equipment. The data of theequipment is collected and transmitted to cloud platform through Node MCU ESP8266. The data issimultaneously displayed using LCD display. The collected data is splitted into train and test data.Train the machine learning model by using different algorithms. The best algorithm is chosen bycalculating their …
Published in Journal of Control & Instrumentation · Vol. 14, Issue 2, 2023 · pp. 38–47 Read article
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Efficient Multicast Routing in MANET
Abstract: Mobile ad hoc network (MANET) is dynamic, self-configuring, distributive, infrastructure-less and self-organized wireless network having collection of independent mobile nodes which are free to move arbitrarily. MANET uses a multicast communication in various applications in which close collaboration of teams is very crucial. In this paper, we propose optimized expanding ring search (OERS) protocol which uses modified expanding ring search method during route discovery process and also analyse the performance …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 3, Issue 3, 2016 · pp. 16–26 Read article
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Customer Churn Prediction Using ML Algorithms
Abstract: Comprehending customer churn is essential for businesses aiming to enhance and sustain customer relationships. This study introduces a machine learning approach aimed at forecasting customer churn by leveraging demographic and behavioral data. Our research involved developing predictive models using support vector machines (SVM), random forests, and decision trees, evaluating their efficacy using real-world data from the telecom industry. Our findings underscore that random forests consistently outperform SVM and decision trees …
Published in Journal of Computer Technology & Applications · Vol. 15, Issue 2, 2024 · pp. 70–75 Read article
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Mapping of Crop Management Factor (C) for Sylhet Sadar using Remote Sensing and GIS
Abstract: Sylhet Sadar suffers from excessive rainfall causing the enormous soil loss in this area. C-factor is one of the most important parameter of the Universal Soil Loss Equation (USLE) and revised version of USLE for estimating soil loss. The current study was conducted for determining the crop management factor (C) using remote sensing (RS) and geographical information system (GIS) tools. Satellite images (Landsat 7 ETM+ of 2000, 2010 and Landsat …
Published in Journal of Remote Sensing & GIS · Vol. 11, Issue 3, 2020 · pp. 35–46 Read article
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Prediction of Customer Churn Using Machine Learning Classification Models
Abstract: Customer churn prediction is a critical task in both the telecommunication and medical industries, where retaining customers or patients is essential for ensuring long-term profitability and maintaining high-quality service. To address this, a range of machine learning models—including logistic regression, decision trees, random forests, gradient boosting machines, and support vector machines—were employed to accurately forecast churn behavior. Prior to model training, the dataset underwent thorough preprocessing, which included handling missing …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 2, 2025 · pp. 86–92 Read article
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Disease Prediction for Heart using Data Mining Techniques and Decision Tree Classification
Abstract: Heart disease is a prominent cause of death worldwide, and many people are concerned about it. Early detection of heart disease becomes very crucial and has the potential to save many lives. However, detecting cardiovascular diseases such as heart attacks, coronary artery disease, and others of similar types is a critical challenge presented by routine clinical data analysis, even by using well known algorithms. We can’t risk lives of people …
Published in Journal of Instrumentation Technology & Innovations · Vol. 12, Issue 2, 2022 · pp. 16–22 Read article
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Jackfruit – A Protentional Fruit for Producing Functional Yogurt
Abstract: Jackfruit (Artocarpus heterophyllus), the largest tree-borne fruit, is a rich source of nutrition and medicinal properties. Native to the rainforests of the Western Ghats in India, its diverse varieties are celebrated across Asia for their unique texture, flavor, and nutritional value. The jackfruit is high in protein, carbohydrates, vitamins, and minerals, with its flesh and seeds offering various health benefits, including improved digestion, enhanced bone health, and cardiovascular support. Rich …
Published in Research and Reviews : Journal of Dairy Science and Technology · Vol. 14, Issue 1, 2025 · pp. 20–27 Read article
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Smart Education through Machine Learning: A Review of Trends, Benefits, and Risks
Abstract: Machine learning (ML) is transforming the contemporary education by transforming it into smarter, data-driven and personalised learning. This review examines the key tendencies, advantages, and possible threats of applying ML in intelligent education. ML promotes adaptive learning, automatization of assessments, and student engagement, which is highly beneficial both to learners and educators. Nonetheless, issues like data privacy, algorithmic bias or unequal access are also a significant concern. The article emphasises …
Published in International Journal of Education Sciences · Vol. 3, Issue 2, 2026 · pp. 24–28 Read article
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Role of Shringyadi Churna on Tamak Shwasa with special reference to Bronchial Asthma
Abstract: In Ayurvedic texts, the signs and symptoms of disease Tamak Shwasa caused due to vitiation of Vata (Pran vayu) and Kapha dosha shows the most parity with bronchial asthma. We used the Shringyadi Churna mentioned in chakradatta by Chakrapani, to find its role in the management of Tamak Shwasa. It showed statistically highly significant results (p value <0.0001). The study showed that for the best results the patients of Tamaka …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 5, Issue 2, 2016 · pp. 1–6 Read article
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Fuzzy Minimum Spanning Tree Problem: A Greedy Algorithm using Quasi-Gaussian Fuzzy Weights
Abstract: The classical Minimum Spanning Tree Problem (MST) deals with determining the spanning tree in a given undirected graph G(V, E) for which the sum of the weights assigned to the edges is minimum. The weights assigned to the edges are real numbers representing parameters like demand, cost, link capacity and distance which are not naturally precise and the uncertainty involved can be modelled using fuzzy numbers. There are several types …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 1, Issue 3, 2014 · pp. 15–22 Read article
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Effectiveness of structured teaching programme on knowledge regarding breast cancer among women in selected Kudumbasree units in Pathanamthitta district
Abstract: Globally cancer is a major public health problem, one out of ten deaths occurs due to cancer. Cancer is the multiplication of the cells. Breast cancer is the cancer that forms in the cells of the breast8. Breast cancer can occur in women and rarely in men. Among women breast cancer is the second most common cancer1. In 2020, there were 2.3 million women diagnosed with breast cancer and 6,85,000 …
Published in Research and Reviews : A Journal of Immunology · Vol. 13, Issue 3, 2023 · pp. 16–29 Read article
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Phyto-Chemical Screening and Quantitative Analysis of Certain Secondary Metabolites of Madhuca indica J. F. Gmel. Leaves used by the Ethnic Communities of Jharkhand State for the Treatment of Different Ailments
Abstract: Plants of Madhuca indica J. F. Gmel., popularly known as “Mahua” is an Indian tropical tree found in abundance in plains and forests of Jharkhand state. Recently, various development and anthropogenic activities have resulted in depletion of forest area on one hand and migration of forest dwellers, mostly tribals, to urban area on the other in search of job. If this continues unabated there are all possibilities of losing valuable …
Published in Research & Reviews: A Journal of Pharmacognosy · Vol. 5, Issue 2, 2018 · pp. 10–14 Read article
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The Pharmacological Importance of Quercus incana: A Review
Abstract: Baloot or Quercus incana, commonly known as blue jack oak or cinnamon oak, a large evergreen tree, belongs to genus Quercus, largest genus of family Fagaceae, approximately 900 species distributed in tropical and subtropical regions of Asia as well as temperate zones of Northern Hemisphere The genus Quercus have long been considered among the clades of woody angiosperms in terms of species diversity, horticulture merit and ecological dominance, industrial and …
Published in Research and Reviews : A Journal of Biotechnology · Vol. 11, Issue 1, 2021 · pp. 15–19 Read article
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Malicious Network Traffic Detection Using Hybrid Feature Selection with Ensemble Neural Network
Abstract: The detection of malicious network traffic is a critical aspect of cybersecurity, aiming to protect sensitive data and maintain the integrity of network systems. This study introduces a novel approach that combines hybrid feature selection with ensemble neural networks to enhance the accuracy and efficiency of malicious network traffic detection. The dataset used in this study was obtained from Kaggle and offers a wide-ranging and varied collection of network traffic …
Published in Nano Trends – A Journal of Nano Technology & Its Applications · Vol. 27, Issue 3, 2025 Read article
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Ethnobotanical Study of Wild Edible Plants used by Tribes of Sawali Khurd
Abstract: The present study was designed to evaluate the phytochemical composition of the endangered medicinal plant of Moringa oleifera ‘Mungna’ belonging to family Moringaceace collected from Sawali Khurd of Wardha district, India. Moringa oleifera commonly called the horseradish tree, drumstick tree, ben oil tree, miracle tree, and Mother’s Best Friend, known for its multipurpose attributes, wide adaptability, and ease of establishment. Its leaves, pods and flowers packed with nutrients important to …
Published in Research & Reviews : Journal of Ecology · Vol. 7, Issue 2, 2018 · pp. 7–11 Read article
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Tribological Performance and Wear Coefficient Prediction of AA2024–TiC Composites via Python-Based Machine Learning
Abstract: Determining wear coefficient accurately serves as a critical factor to maximize engineering materials' tribological characteristics. The experiment examines the wear characteristics of TiC-reinforced AA2024 aluminum alloy subjected to different tribological operating conditions. A pin-on-disc tribometer performed wear tests under different conditions of load and TiC weight fraction and sliding speed and duration. ANOVA statistical results show that load intensity and TiC reinforcement density stand out as principal variables that affect …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 1099–1112 Read article
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Risk Management in Civil Engineering by FTA, FMEA and Risk Matrix
Abstract: Infrastructure projects, particularly in civil engineering, are fraught with uncertainties that manifest as both physical and financial risks. The project report, titled Quantifying and Managing Financial and Physical Risks in Infrastructure Projects, aims to bridge the existing gap between managing these two critical categories of risks. By integrating advanced statistical methodologies such as Failure Mode and Effects Analysis (FMEA), Fault Tree Analysis (FTA), Risk Matrix, and Regression Analysis, this study …
Published in Journal of Structural Engineering and Management · Vol. 12, Issue 1, 2025 · pp. 34–46 Read article
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A Review of Code Defect Likelihood Using ML Methods
Abstract: AbstractSoftware begets defects and defects are inevitable in software design and coding. This paper focused on five machine learning analysis models (MLAM); Support Vector Machine, Random Forest, K-Nearest Neighbor, Classification and Regression Tree, and Linear Discriminant Analysis. These models are trained to detect software defects using the software defect dataset from Promise data repository. The collected dataset is preprocessed to reduce the amount of redundant features using a dimension reduction …
Published in Journal of Open Source Developments · Vol. 7, Issue 3, 2020 · pp. 1–6 Read article
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Low-cost Feed Resources for Sustainable Dairying: Exploring Conventional, Agro-Industrial, and Non-Conventional Feeds to Optimize Nutritional Adequacy
Abstract: This study explores the potential of cost-effective feed resources to enhance the sustainability of dairy farming by focusing on conventional, agro-industrial, and non-conventional feed alternatives. Rising feed costs remain a significant challenge =124ed5y7u-8 n dairy production, and optimizing feed efficiency is crucial for maintaining profitability and sustainability. Conventional feed resources, including roughages and pastures, provide the foundation for dairy cow diets, yet their nutritional content varies seasonally and geographically. Agro-industrial …
Published in Research & Reviews : Journal of Ecology · Vol. 14, Issue 2, 2025 · pp. 11–27 Read article