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427 articles for “R Tree”
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Enhanced Multimodal Disease Prediction Using Hybrid Ensemble Learning and AutoML Techniques
Abstract: The integration of hybrid ensemble learning and automated machine learning (AutoML) is revolutionizing disease prediction by addressing the complexity, imbalance, and high dimensionality inherent in medical datasets. This paper proposes an advanced pipeline that combines diverse ensemble learning models with AutoML-based optimization to predict chronic diseases such as kidney diseas-e, Parkinson’s disease, and lung cancer. Publicly available datasets from UCI and PhysioNet repositories were preprocessed using outlier removal, normalization, and …
Published in Research and Reviews : Journal of Computational Biology · Vol. 15, Issue 1, 2026 · pp. 10–20 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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Data Mining Techniques Used in Prediction of Heart Diseases
Abstract: AbstractHeart disease is a big life minatory ailment that cause to demise. It has deep long-term incompetence. There is a huge amount of data available within our system. Nevertheless, we are unable to find hidden relationship and prosperity in data. KDD (knowledge discovery in database) process, data mining consists of various techniques to convert these mounds of data into useful decision-making information. Data mining takes less time for the prediction …
Published in Journal of Advanced Database Management & Systems · Vol. 6, Issue 3, 2019 · pp. 9–11 Read article
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Hepatitis B Viruses: An Overview
Abstract: Viruses are no longer confused with their virions, but rather as sophisticated living creatures that change the infected cell into a novel organism, the virus generating virions. Viruses have been given new classifications, and their place in the global tree of life is being debated. This scenario is fast changing as a result of various discoveries that have altered our understanding of viruses. I suggest that an organism be defined …
Published in Research and Reviews: A Journal of Microbiology and Virology · Vol. 12, Issue 1, 2022 · pp. 28–31 Read article
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Histochemical Investigations of Various Parts of Aegle marmelos (L) Corr.
Abstract: Aegle marmelos (L.) Corr. belonging to the family Rutaceae. Unripe dried fruit of Aegle marmelos, is astringent, digestive, stomachic, used to cure diarrhea and dysentery, appetite, indigestion. The leaves are made into poultice and used in the treatments of ophthalmic. Roots are useful in fever, tridosha, pain in abdomen, urinary troubles. It is aromatic tree of Indian origin. In the preparation of natural medicine, almost all parts are used. This …
Published in Research & Reviews : Journal of Herbal Science · Vol. 9, Issue 1, 2020 · pp. 12–16 Read article
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ASTER Spectral Analysis Based Vegetation Species Identification of the Forest Areas Situated in Ghatsila, Musabani and Dhalbhumgarh
Abstract: Reflectance-converted imagery is a requirement for establishing remote sensing algorithms for mapping vegetation species using their specific absorption and reflectance spectra. The differences among the spectral signatures, the unique patterns of absorption and reflection of visible and infrared energy help the researcher to identify types of plants. During the last few decades remote sensing technology has become increasingly important tool for mapping and inventorying forest resources around the world. Jharkhand …
Published in Journal of Remote Sensing & GIS · Vol. 6, Issue 2, 2015 · pp. 41–50 Read article
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Plant Diversity Studies in the Rural Homegardens of Honnavar Taluk of Uttara Kannada District, Karnataka, India
Abstract: AbstractHomegardens in the villages of Honnavar taluk is an integrated production system and a stable ecosystem that maintains the diversity of life as well as biological wealth. Honnavar is one of the Coastal Taluks of Uttara Kannada district of Karnataka state. The present study was carried out in 10 villages of Honnavar taluk namely Karki, Haladipur, Mannige, Allanki, Kavalakki, Idagunji, Navilgon, Kelaginoor, Manki and Kadatoka. Of the total 58 homegardens …
Published in Research & Reviews : Journal of Botany · Vol. 3, Issue 3, 2014 · pp. 5–18 Read article
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Statistical and AI Approaches to Measure Sustainability Performance of Enterprises
Abstract: Measuring sustainability performance has become a critical priority for enterprises facing increasing regulatory pressure, stakeholder expectations, and global sustainability challenges. Traditional assessment methods, largely based on static indicators and manual reporting, often struggle to capture the multidimensional, dynamic, and data-intensive nature of sustainability. This study explores the integration of statistical and artificial intelligence (AI) approaches to evaluate and enhance the sustainability performance of enterprises in a more robust, accurate, and …
Published in Research & Reviews : Journal of Statistics · Vol. 15, Issue 1, 2026 · pp. 30–36 Read article
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Heat Stress Mitigation in Resource-Constrained Dairy Farming Systems: Practical Strategies for Sustainable Development
Abstract: Heat stress poses a critical threat to dairy production, particularly in resource-constrained systems prevalent across tropical and subtropical regions. Elevated ambient temperatures, compounded by high humidity, directly impair feed intake, milk yield, reproductive efficiency, and overall animal welfare. In low-resource settings, conventional cooling technologies such as automated fans, sprinklers, and climate-controlled housing remain economically inaccessible. Therefore, cost-effective, locally adaptable, and sustainable solutions are essential for maintaining productivity and animal health. …
Published in International Journal of Climate Conditions · Vol. 2, Issue 2, 2025 · pp. 1–12 Read article
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Experimental Investigation and Surface Morphology Study on Areca Fiber Composite Material
Abstract: Composites manufactured from areca fibers had their characteristics assessed in recent research. Shape and size were determined by cutting the stem. It takes six months to dry the fibers once they are taken from the tree stem. Because pectin, cellulose, hemicellulose, and lignin make up the bulk of it. It has great regeneration capacity and is a resource material made of wood fibers. The untreated and chemically treated fibers are …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 459–468 Read article
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A Comparison Study of Different Classification Algorithm on Brain Tumor Segmentation
Abstract: A brain tumor is a tissue mass caused by aberrant cell proliferation in the brain. It is a collection of tissues that causes hormonal alterations and eventually death. In order to save human lives, brain tumors prognosis and prevention is a difficult task. The use of modern medical image processing approaches has made the identification of brain tumors more flexible in recent years. Due to the absence of ionizing radiations, …
Published in Trends in Opto-electro & Optical Communication · Vol. 11, Issue 3, 2021 · pp. 1–7 Read article
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Review on Effect of Catalysts in Preparation Methods of Chalcone
Abstract: This review covers effect of some catalysts in preparation methods of chalcone compounds. These compounds are responsible for the coloration of flowers due to the presence of the cascade. The molecules of the compound become highly photo-acetic and thus are ideal chromophores. Recently, a number of studies have been conducted describing the process of separating chalcones from different parts of plants such as roots (roots), buds, leaves (leaves), flowers, seeds …
Published in Journal of Catalyst & Catalysis · Vol. 7, Issue 3, 2020 · pp. 11–21 Read article
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Autism Spectrum Disorder Prediction Using Classification Techniques: A Comparative Analysis
Abstract: Autism spectrum disorder (ASD) is a multifaceted neurodevelopmental disorder marked by difficulties in social interaction, communication, and repetitive behaviors. Identifying and addressing ASD early is essential for enhancing the quality of life for those affected. Data mining techniques have emerged as powerful tools in analyzing large datasets to predict and diagnose ASD, aiding in early identification and intervention. This article presents a comprehensive comparative analysis of classification techniques employed in …
Published in Journal of Computer Technology & Applications · Vol. 15, Issue 3, 2024 · pp. 66–71 Read article
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Comparative Analysis of algorithms for Credit Card Fraud Detection using Data Mining: A Review
Abstract: AbstractData mining is a technique to extract new useful information from existing dataset. It is used to predict various patterns from present dataset. It has a great application in the field of bank and finance. In today’s world, everything is being online, means online shopping, online banking and online payment. The problem faced by them is credit card fraud. In this, we use the data mining techniques such as classification, …
Published in Journal of Advanced Database Management & Systems · Vol. 6, Issue 2, 2019 · pp. 12–17 Read article
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Identification of Markers through Micromorphological Approach of Four Species of Fabaceae in Bankura, West Bengal
Abstract: Recently agro-forestry is gaining much importance as it has a vast scope to mitigate several problems. Many parts of the World especially in the tropics, vast areas of forest lands are now denuded of trees destroying the fragile environment and leaving extensive area unproductive. So, these areas can be reutilized by growing fuel wood plants as an alternative to fossil fuel. So, for large scale plantation screening for desired species …
Published in Research & Reviews : Journal of Botany · Vol. 9, Issue 2, 2020 · pp. 1–4 Read article
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Facilitated Deferred Transmmission a Risk to Public Health of Globalization and Intercountry Adoptions of Pets
Abstract: Increased temperatures due to climate change may be facilitating that arthropods vectors of zoonotic diseases rapidly colonize new territories. 6472 dogs have been selected to check main Mediterraneum zoonotic vector-borne, two transmitted by fly bites, Leishmaniasis and Dirofilariasis, and tree transmitted by ticks, Ehrlichiosis, Anaplasmosis, and Babesiosis through IFA, ELISA, PCR and microscopy tests and calculate the ratio of this diseases hosts as well the destinations in north of Europe …
Published in Recent Trends in Infectious Diseases · Vol. 1, Issue 1, 2024 · pp. 21–26 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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Intelligent Big Data Processing: Optimizing Analytics Pipelines Through Ensemble Machine Learning, Distributed Computing, and Adaptive AI Architectures
Abstract: Traditional data analytics methods are facing significant challenges due to the explosive rise of digital data. Global data generation is expected to reach nearly 175 zettabytes by 2025. This puts significant pressure on existing computing infrastructure. Conventional analytics methods often struggle with scalability, processing speed, and smart decision-making. Rule-based systems and standalone machine learning models frequently cannot handle the complexity and scale of modern big data environments effectively. To tackle …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 13, Issue 2, 2026 · pp. 1–11 Read article
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Continuous Location-based Spatial Queries using a Proxy-based Approach
Abstract: AbstractThe intent of the paper is to obtain continuous location-based spatial queries using a proxy-based approach. Initially proxy creates estimated valid region for mobile clients. Using novel representation more effective EVRs of window queries are obtained. In this paper, index structures, EVR-tree and grid index are used for NN queries and window queries. To support for NN query answering and EVR updating, grid index is used. For performance evaluation several …
Published in Journal of Computer Technology & Applications · Vol. 6, Issue 1, 2015 · pp. 19–22 Read article
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Money Laundering Transaction with Machine Learning
Abstract: This study discusses the use of machine learning algorithms to discover firms that are prone to money laundering. The purpose of this research is to develop, describe, and test a machine learning model for determining which bank transactions should be physically scrutinized for money laundering activities. To train a supervised machine learning model, three categories of historical data are required: legitimate "normal" transactions, transactions flagged as suspicious by the bank's …
Published in Current Trends in Information Technology · Vol. 14, Issue 2, 2024 · pp. 1–15 Read article