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63 articles for “Extra Trees”
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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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Analysis of Image Coders
Abstract: AbstractIn this paper we work on the performance analysis of well-known image compression algorithm i.e., wavelet based image compression which is Set Partition in Hierarchical Tree (SPIHT) and also no list SPIHT (NLS). As SPIHT uses three variable lists which require large hardware implementation and hence extra cost and high encoding and decoding time is required but NLS use marker instead of list which are placed on lower nodes of …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 3, Issue 3, 2016 · pp. 26–30 Read article
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Data Extraction Using NLP for Unstructured Text Categorization
Abstract: Abstract In this research project, I tried to crawl the web and files to create a dataset so that it can be fetched to FRL (Fuzzy rough set-based semi-supervised learning algorithm). The approach used in the project is with the help of semi-supervised learning that made use of unlabeled data for training typically a small amount of labeled data with a large amount of unlabeled data. We de ne and …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 4, Issue 3, 2017 · pp. 30–39 Read article
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Survey of Predictive Models for Safe Route Predicting Using Machine Learning Techniques
Abstract: Safe route prediction is essential for the well-being and security of individuals in urban and rural environments. Machine learning techniques leverage historical data, real-time information, and algorithms to estimate the safety levels of different routes. The objective of safe route planning is to minimize risks, including crime-prone areas and accidents, reducing potential harm, property damage, and emotional distress. However, challenges arise from the complex and dynamic nature of urban environments, …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 11, Issue 1, 2024 · pp. 13–22 Read article
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Improvement of Energy Consumption in Wireless Sensor Networks
Abstract: AbstractA WSN is a set of nodes structured to form a network which are wireless in nature. Routing is a significant technology in this network. A sensor network is composed with vast number of little sensors. All sensor nodes are well-defined with specific parameters in word of energy. Data transmission in wireless communication takes more power than data processing. When the nodes are sending additional number of data, proportionately their …
Published in Journal of Computer Technology & Applications · Vol. 8, Issue 2, 2017 · pp. 1–6 Read article
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Automated Vessel Segmentation of Retinal Vessels using Hybrid Region Information
Abstract: AbstractRecent researches state that the categorization of retinal vessels into artery/vein (A/V) is a critical phase for automating the detection of vascular adjustments and for the calculation of function symptoms related to numerous systemic illnesses which includes diabetes, high blood pressure, and different cardiovascular situations. This paper affords an automatic method for A/V class, primarily based on the evaluation of a graph extracted from the retinal vasculature. The proposed method …
Published in Research & Reviews : Journal of Statistics · Vol. 7, Issue 3, 2018 · pp. 28–36 Read article
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An Assessment of the Phytochemical Properties and Antimicrobial Activity of Selected Tree Species
Abstract: Currently, more people are becoming aware of the value of medicinal plants also. Compared to other medications, drugs made from plants are readily available, affordable, safe, and have few to no adverse effects. In the present study, we investigate the phytochemical screening and enumerate the antimicrobial activity of the selected tree species of Sapindus emarginatus, Murraya koenigii, Mangifera indica, Sterculia fodita, and Tamaridus indica. The plant extracts were prepared by …
Published in Research & Reviews : Journal of Botany · Vol. 12, Issue 1, 2023 · pp. 1–6 Read article
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Leaf Disease Classification Using Artificial Neural Networks and Decision Tree Classifier
Abstract: Most of the population in India depends on agriculture production. Diseases on plant cause a significant loss of nation’s economy. The Loss can be reduced by identifying the disease at the earlier stage. Leaves are the main indicator of diseases in a plant. Hence efficient automatic leaf disease identification system is the need for the current scenario. As it detects the diseases on leaf immediately after they appear, it prevents …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 5, Issue 1, 2018 · pp. 26–32 Read article
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Exploring The Therapeutical Potential Of Pongamia Pinnata For Herpes Simplex Virus Type 1 (HSV-1)
Abstract: Objective: Pongamia pinnata (L.), commonly known as Indian beech or pongam tree, is a tropical plant renowned for its medicinal properties in traditional medicine systems. Extracts derived from various parts of Pongamia pinnata have demonstrated antimicrobial, anti-inflammatory, and immunomodulatory activities. Such attributes make it a compelling candidate for exploring its therapeutic potential against HSV infections. Thymidine kinase is the target protein mostly used in the treatment of HSV1 infections. In …
Published in Research and Reviews: A Journal of Microbiology and Virology · Vol. 15, Issue 1, 2025 · pp. 1–9 Read article
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Boosting Decision Tree Algorithm for Weather Prediction
Abstract: Data mining is the computer assisted process which predicts behaviors and future trends by digging through and analyzing enormous sets of data and then extracting the meaningful data. It is used to answer questions that traditionally were very time consuming to resolve. This feature makes it useful to predict meteorological data that is weather prediction. Weather prediction is a necessary application in meteorology and has been one of the most …
Published in Journal of Advanced Database Management & Systems · Vol. 1, Issue 3, 2014 · pp. 21–30 Read article
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Comparative Study of Data Mining Tools
Abstract: Data mining is a process which finds useful patterns from large amount of data for an appropriate application. It is a well-built technology with great potential to help companies whose focus is on important information in huge databases. It uses machine learning, statistical and visualization technique to discover and predict knowledge in a form which is easily understandable to the user. Classification is important technique of data mining which employs …
Published in Journal of Advanced Database Management & Systems · Vol. 2, Issue 2, 2015 · pp. 35–41 Read article
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Improved Vision Based Algorithm for Deep Web Data Extraction
Abstract: Several systems and languages have been proposed for solving web-data management problems, but none of existing system addresses all the problems from a unified perspective. Most of the existing link analysis algorithms treat a web page as a single node in the web graph. However, in most cases, a web page contains multiple semantics and hence the web page might not be considered as the atomic node. New web content, …
Published in Journal of Web Engineering & Technology · Vol. 2, Issue 2, 2015 · pp. 28–37 Read article
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Detection of Phishing Website URLs and Email/SMS Using Random Forest and Multinomial Naive Bayes
Abstract: Currently, phishing attacks via SMS/email and URL have become significant threat to cybersecurity, posing risks to both individuals and organizations alike. Phishing attacks typically involve the creation of fraudulent websites or the dissemination of deceptive emails and SMS messages to trick users into disclosing sensitive information such as passwords, credit card numbers or personal details. To respond to these attacks, we develop a robust system for the detection of phishing …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 1, 2025 · pp. 22–30 Read article
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Review on Elaeocarpus Ganitrus (Rudraksha)
Abstract: The seed of Elaeocarpus Ganitrus, also known as Rudraksha, is renowned for its electromagnetic characteristics. Recent scientific research has demonstrated that this seed possesses natural electromagnetic properties which can effectively treat various chronic diseases. This study focuses on the phytochemical screening and thin layer chromatographic analysis of the extract obtained from Elaeocarpus Ganitrus seeds, which belong to the Elaeocarpaceae family. Bombay, and is commonly grown as an ornamental tree in …
Published in Research & Reviews: A Journal of Pharmacognosy · Vol. 11, Issue 2, 2024 · pp. 8–15 Read article
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Preliminary Phytochemical Investigation of the Different Solvents of the Stem of the Anogesssuspendula: A Vulnerable Taxonomic Tree
Abstract: Medicinal plants are very important, and they are very useful kind of the gift of the nature. From the time remote, the plants and their various parts have been used for a variety of purposes. The development of the civilization has been correlated with the development and the utilization of the plants through various means. They are major sources of the medicines. In this research paper, we have worked on …
Published in Research and Reviews: A Journal of Health Professions · Vol. 9, Issue 1, 2019 · pp. 31–35 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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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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Using Machine Learning for Key phrase Extraction in Digital Libraries
Abstract: Machine learning has revolutionized various aspects of information retrieval, including key phrase extraction in digital libraries. Key phrase extraction is crucial for summarizing and categorizing vast amounts of textual data, enabling efficient search and retrieval processes. This study explores the application of machine learning techniques for automatic key phrase extraction in digital libraries. We review various supervised and unsupervised learning algorithms, including deep learning models, that are employed to identify …
Published in International Journal of Cheminformatics · Vol. 1, Issue 2, 2023 · pp. 8–13 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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Mapping the Landscape of Neem Tree Research: Insights into Chemicals and Polymers through Bibliometric Exploration
Abstract: Azadirachta indica A. Juss, often referred to as Neem, is a rapidly developing tree that falls under the Meliacea family. For more than two millennia, Indians has relied on neem oil for its healing properties. Thus, to know the importance of neem tree, the study is needed. The Neem tree has been a subject of extensive research owing to its diverse array of chemicals and polymers with multifaceted applications. This …
Published in Journal of Polymer & Composites · Vol. 12, Issue 4, 2024 · pp. 144–154 Read article