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82 articles for “Value of a tree”
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The Nutritional Value of Moringa Plant as a Superfood: A Comprehensive Review
Abstract: Moringa oleifera, commonly known as the "miracle tree," has garnered global attention for its rich nutritional profile and diverse medicinal properties. This review article comprehensively explores the nutritional composition and health benefits of Moringa, highlighting its potential as a superfood. The plant is rich in essential nutrients, including proteins, vitamins, minerals, and bioactive compounds, such as flavonoids and phenolic acids. These constituents contribute to its antioxidant, anti-inflammatory, antimicrobial, and anti-cancer …
Published in International Journal of Sustainability · Vol. 1, Issue 2, 2024 · pp. 20–23 Read article
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A Systemic Review: Pithecellobium dulce (Jangal Jalebi)
Abstract: Pithecellobium dulce (Roxb.) Benth., commonly referred to as Jangal Jalebi, Vilayati Babul, or Manila Tamarind, is a versatile tree in the Leguminosae (Fabaceae) family. It is commonly found in tropical and subtropical areas and is valued for its ecological, medicinal, and nutritional benefits. The plant is rich in a variety of bioactive compounds, including flavonoids, alkaloids, phenols, glycosides, tannins, saponins, terpenoids, and steroids, which enhance its pharmacological potential. Different extracts …
Published in Research & Reviews : Journal of Herbal Science · Vol. 15, Issue 1, 2026 · pp. 14–20 Read article
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Incorporating Necessary Wisdom about Environment – Supported through Poetry
Abstract: Normal 0 false false false EN-GB X-NONE X-NONE A poem teaches or practices why each particular word is put into a particular position, while how a typical concept was installed in those lines must be appreciated by intelligentsia. The author’s attempt to integrate technology and environmental awareness with poetry is alluded in this work. Starting from a common discussion about the constituents or traits that develop right quality or competence, …
Published in OmniScience: A Multi-disciplinary Journal · Vol. 2, Issue 2, 2012 · pp. 13–28 Read article
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Structure-Property Modeling and Engineering Optimization of Biodegradable Starch-Cellulose Biofoams for Sustainable Packaging
Abstract: Since the packaging industry is an engineered product with complex composites that involve a close relationship between composition, processing, and performance, optimization of formulation, cellular morphology, and engineering performance of biodegradable starch-based biofoams presents a considerable challenge. This study proposes a machine-learning-aided structure–property modeling framework to design and optimize starch-based biodegradable biofoams for sustainable packaging applications. A physics-informed synthetic dataset consisting of 10,000 formulations was created based on engineering relationships …
Published in Journal of Polymer & Composites · Vol. 14, Issue 5, 2026 Read article
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Eye Disease Classification Using K-means Clustering Algorithm and Ensemble Classification Approach
Abstract: In this study, we present a comprehensive approach for the classification of eye diseases, specifically targeting normal, cataract, glaucoma, and diabetic retinopathy conditions. This research uses a dataset from Kaggle, which provides a wide and varied collection of retinal images to ensure good representation. The methodology encompasses advanced image processing and machine learning techniques to ensure accurate diagnosis and prediction. The preprocessing phase involves a series of image enhancement techniques …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 3, Issue 2, 2025 · pp. 15–27 Read article
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Fructifying of Electricity Utilizing Wind Leaf –PV Combination Model
Abstract: Abstract—In recent days renewable energies are used to produce electricity which is available at no cost. In this project wind and solar energy are used to fructify electricity with the assistance of aero leaves and solar panels. Few aero leaves are structured in the form of a tree, for producing high power. This tree uses tiny blades which are inbuilt with the aero leaves to produce electricity from wind energy. …
Published in Current Trends in Information Technology · Vol. 9, Issue 2, 2019 · pp. 14–19 Read article
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Moringa Oleifera: Traditional and Modern Uses, and Current Research Studies
Abstract: Moringa, also known as the Miracle tree, is a member of the Moringaceae family. It is an exceptionally valued plant that is found in various countries around the world. It is also a special food crop because it is highly nutritive and provides the body with essential amino acids, minerals, and vitamins, allowing Moringa to become an excellent food supplement. Furthermore, various Moringa species provide enormous medicinal benefits for various …
Published in Research & Reviews: A Journal of Pharmacognosy · Vol. 10, Issue 1, 2023 · pp. 10–25 Read article
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Credit Card Fraud Detection Using Machine Learning Techniques
Abstract: Credit card fraud has become a significant concern in today's digital economy, with billions of dollars being lost annually to fraudulent transactions. Conventional rule-based approaches frequently prove inadequate in addressing the constantly changing strategies employed by fraudsters. Machine learning methods have emerged as robust solutions for detecting credit card fraud, presenting the capability to accurately identify fraudulent transactions promptly. In this study, we investigate the efficiency of three widely used …
Published in Journal of Open Source Developments · Vol. 11, Issue 1, 2024 · pp. 1–7 Read article
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Reducing the Dimensional Dependence for Rank-based Similarity Search
Abstract: In this paper, we try to introduce a data structure for k-NN search, the Rank Cover Tree (RCT). The pruning tests for RCT rely on the comparison of similarity values not on the other properties of the underlying space, such as the triangle inequality. Objects are selected according to their ranks with respect to the query object, allowing much tighter control on the overall execution costs. Theoretical analysis shows that …
Published in Journal of Advanced Database Management & Systems · Vol. 2, Issue 3, 2015 · pp. 20–25 Read article
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Algorithm for the prediction of cardiovascular disease (CVD)
Abstract: cardiovascular diseases (CVD) still claim a significant number of deaths globally and remain the number one killer with an annual death toll of nearly 17.9 million. While several medical advancements have been made, an early diagnosis is still hard to obtain, which often leads to worsening conditions and intricate treatment options. With the advancement of modern technology, Machine learning has demonstrated to be a miraculous tool which can greatly impact …
Published in Research and Reviews : A Journal of Immunology · Vol. 15, Issue 2, 2025 Read article
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Predictive Modeling and Optimization of Tensile and Flexural Strength in FDM 3D Printing Using Decision Trees and Bayesian Optimization.
Abstract: This research investigates predictive modelling and optimization technique for the tensile and flexural strength of PlA (Poly Lactic Acid) in Fused Deposition Modelling (FDM) 3D printing. Employing Decision Trees and Bayesian Optimization enhances comprehension and control of 3D printing process. Precise model predicts PLA material properties based on input parameters. Methodology involves rigorous data preprocessing, encompassing, cleaning, transformation, and normalization. Hyperparameter optimization via grid search systematically explores configurations, optimizing model …
Published in Journal of Polymer & Composites · Vol. 11, Issue 12, 2023 · pp. 203–214 Read article
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Flooding of Urban Drainage Systems: Risk Analysis Study
Abstract: Floods are considered as to be among the most severe natural disasters because of their unpredictability, their overwhelming power and the difficulty to assess the related risks. Consequently, flooding damage is inevitable. This paper focuses on the identification of potential flood hazards in urban drainage systems. The flooding causes and modes are analyzed by two main methods: fault tree and event tree. The frequencies of natural events and operational obstacles …
Published in Journal of Water Resource Engineering and Management · Vol. 6, Issue 3, 2019 · pp. 1–5 Read article
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Reducing the Dimensional Dependence for Rank-Based Similarity Search
Abstract: In this paper a data structure for k-NN search, the rank cover tree (RCT) is implemented. The pruning tests for RCT rely on the comparison of similarity values and not on the other properties of the underlying space, such as the triangle inequality. Objects are selected according to their ranks with respect to the query object, allowing much tighter control on the overall execution costs. Theoretical analysis shows that with …
Published in Journal of Advanced Database Management & Systems · Vol. 3, Issue 1, 2016 · pp. 9–17 Read article
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Cloud-driven Fraud Detection: Evaluating Decision Tree and Random Forest Classifiers for Credit Card Transaction Security
Abstract: With the alarming rise in global financial fraud, necessitating substantial annual losses, modern techniques for fraud detection are continuously evolving across various business domains. Fraud detection involves constant monitoring of user activities to estimate, perceive, or prevent undesirable behaviour. Cloud Computing emerges as a promising solution, accelerating application deployment, fostering creativity and innovation, reducing costs, and enhancing overall business acumen. This study introduces a cloud-driven approach to fraud detection, specifically …
Published in Recent Trends in Parallel Computing · Vol. 11, Issue 1, 2024 · pp. 13–27 Read article
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Various Approaches of Privacy Preserving in Data Mining: A Review
Abstract: AbstractData mining devices aspire to find valuable examples from vast measure of data. These patterns constitute information and are conveyed in selection trees, clusters or association rules. The information determined by the means of numerous data mining strategies can also comprise of private records approximately human beings or business. Preservation of privacy is a big thing of data mining and as a consequence has a look of attaining a few …
Published in Journal of Advanced Database Management & Systems · Vol. 4, Issue 2, 2017 · pp. 1–8 Read article
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Systematic Analysis of the Pharmacological Properties of Different Plant Parts of Madhuca sp.
Abstract: Madhuca sp., a perennial tree belonging to the Sapotaceae family, is widely distributed across South and Southeast Asia. It holds considerable value across the food, beverage, and pharmaceutical sectors. The growing interest among cultivators, agronomists, and industry stakeholders stems from the diverse bioactive potential documented across different parts of the plant, including the bark, leaves, seeds, and flowers. Traditional and emerging evidence points to a wide spectrum of pharmacological actions, …
Published in Research & Reviews : Journal of Botany · Vol. 15, Issue 2, 2026 · pp. 1–11 Read article
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Machine Learning Approach to Predict the Performability and Emissions of Diesel Engine Fueled with Doped Biodiesel Blend
Abstract: Enhancing the performability and emission characteristics of diesel engines has been a difficult task in light of growing concerns about global warming and other negative effects, as diesel accounts for 70% of global energy demand. In this study, engine performance and exhaust emissions for various fuel blends were thoroughly evaluated using machine learning techniques to predict engine emission and performance behavior. We focused on biodiesel blend and nanoparticle additive concentration …
Published in International Journal of Mechanical Dynamics and Systems Analysis · Vol. 3, Issue 1, 2025 · pp. 1–12 Read article
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Prediction of Mobile Phone Price Using Machine Learning Classifiers
Abstract: One cannot imagine one's life without mobile phones; in today's digital era, mobile phones have become a necessity for everyone to fulfil their various demands like messaging, communication, entertainment, productivity, research, shopping and many more. In a thriving market of mobile phones where new smartphones are launched every year with new advanced features and various designs, determining the expense of a mobile can be a trouble-some tasks for consumers. In …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 2, 2024 · pp. 101–108 Read article
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Evaluation of the Aqueous Alcoholic Extract of Laxmi Taru for Its Anticancer Property: A Review
Abstract: Simarouba glauca is considered a very valuable medicinal herbal drug used to treat diarrhea and dysentery; hence, its bark is known as dysentery bark. Different parts of the tree treat different ailments. The bark and leaf extract of Laxmi taru (Simarouba glauca) is efficiently known for its anti-helmanthic, anti-parasitic, anti-dysentric, and anti-cancerous properties. Chemotherapy, which is most frequently used to treat cancer and is becoming more prevalent around the world, …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 10, Issue 1, 2023 · pp. 28–32 Read article
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Human Retention using Data Science
Abstract: Employees are the backbone of any successful organization and hence employee retention is of utmost importance. Using Data Science, this research work seeks to assist HR and Project Managers in improving the retention rate of valued workers in an organization, thus lowering the company's employee turnover expense. Following extensive research into how to choose the most desirable employee and the application of methodological assumptions, performance was created using conditional logic …
Published in Journal of Advances in Shell Programming · Vol. 8, Issue 1, 2021 · pp. 18–24 Read article