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421 articles for “R Tree”
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Enumeration of Fabaceae Vegetation in Plains of Tirunelveli District of Tamil Nadu, India
Abstract: Maintenance, management and sustainable utilization of plant coverage have required scientific recognition. The information resulted from vegetation can be useful to solve the ecological problems such as biological conservation and natural resources management and the future of an ecosystem trends can be forecasted using such information. The study presents the survey of Fabaceae flora in the plains of Tirunelveli district during 2006–2009. About 58 species belonging to different habitats have …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 3, Issue 3, 2013 · pp. 10–14 Read article
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Homogeneous Video Transcoding Functions for High-Efficiency Video Coding
Abstract: High-efficiency video coding (HEVC) is the successor of H.264/AVC and it gives the higher compression ratio and high quality video than H.264. But, HEVC increases the computational complexity of video coding due to its flexible quad tree partitioning structure. Transcoding algorithms are very much required to associate the HEVC standard into real applications. Homogeneous video transcoding is used for conversion between the same video formats. A higher quality video at …
Published in Current Trends in Signal Processing · Vol. 7, Issue 2, 2017 · pp. 32–36 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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Urban Eye: Manhole Surveillance with IoT
Abstract: Every nation hopes to implement the idea of the "smart city" on its own. Many different issues must be resolved in order to grow the seed into a large tree. The drainage system is one of them, and it is essential. With the right drainage system, even a tiny region can make a significant contribution to society. A sewer system can be accessed through manholes. Manholes are the best approach …
Published in International Journal of Machine Systems and Manufacturing Technology · Vol. 1, Issue 1, 2023 · pp. 13–22 Read article
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Evaluation of Early Performance Different Provenance of Moringa stenopetala (Baker f.) Tree Seedlings at the Nursery Level in Central Ethiopia
Abstract: Moringa stenopetala (Baker f.) Cufodontis is an important and valuable indigenous tree species in the lowland area of Ethiopia. And also the tree have economical, social, and in the livelihood of farmers and play key roles in ecosystem resilience under climate change scenarios. On the other hand, the variability with in plant genetics can be limiting factor to improve species’ appropriateness for a specific site. Therefore, this research aimed to …
Published in Research & Reviews : Journal of Botany · Vol. 11, Issue 3, 2022 · pp. 1–11 Read article
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Quinine: Past, Present, and Future Perspective in Malaria and Autoimmune Disorder
Abstract: Quinine, a natural alkaloid extracted from the bark of the cinchona tree, has traditionally played a key role in treating malaria, a disease caused by parasites of the Plasmodium genus. Since its discovery in the 17th century, quinine has evolved from a rudimentary treatment to an essential component of modern antimalarial therapies. This article explores the historical use of quinine in the fight against malaria, its role in current treatment …
Published in International Journal of Pathogens · Vol. 2, Issue 1, 2025 · pp. 24–33 Read article
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Designing, Constructing and Testing a 90 cm Parabolic Satellite Dish Using Fiberglass Material
Abstract: In this paper, we designed and constructed a parabolic satellite dish using fiberglass material for Ku-band reception that would be able to receive stations from any transponder focused on it which may be coded or non-coded stations. To achieve this objective, a parabolic graph was plotted using the geometry calculations of a parabola (i.e., the axis of asymmetry against its directrix). From this calculation and graph, the form-work was obtained …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 2, Issue 2, 2013 · pp. 12–26 Read article
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Computer Aided Diagnosis of Breast Cancer using Machine Learning Techniques
Abstract: Breast cancer is one of the significant health problems that lead to early mortality in women, especially those between 40 and 55 years of age all over the world. In recent years, the number of breast cancer cases among women has risen significantly, making early and accurate diagnosis more important than ever. Computer-aided diagnostic (CAD) tools have become valuable in supporting radiologists by enhancing the precision of breast cancer detection. …
Published in Nano Trends – A Journal of Nano Technology & Its Applications · Vol. 27, Issue 2, 2025 · pp. 1–11 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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An Experimental Approach of Machine Learning Algorithms to Detect Botnet DDoS Attacks
Abstract: Botnets are one of the threats in a network to hamper the quality of the network by disrupting theresources of the network. These Botnets can be controlled remotely by Botmaster. The Machine Learning Algorithms play a major role to detect and control the Botnets that cause to DDoS attacks, malwares and phishing attacks that are vulnerable to network resources. The DDoS attacks are most dangerous malware events that disrupt whole …
Published in Journal Of Network security · Vol. 10, Issue 3, 2022 · pp. 7–14 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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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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Implementing Machine Learning in Data Classification
Abstract: Data classification forms an essential aspect of artificial intelligence (AI) and soft computing, helping a great deal in the transformation of raw data into knowledge that forms the basis of numerous applications, such as fraud detection, medical diagnostics, and natural language processing. This study discusses the challenges and the state of the art in data classification, as far as scalability, noise handling, and feature selection optimization are concerned. It gives …
Published in International Journal of Data Structure Studies · Vol. 3, Issue 2, 2025 · pp. 15–22 Read article
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A Review on Lung Cancer Prediction Using Machine Learning
Abstract: Lung cancer continues to be a major contributor to cancer-related mortality across the globe. Timely diagnosis and reliable prediction models play a crucial role in enhancing treatment outcomes and survival rates for patients. The present study focuses on the utilization of machine learning (ML) methods for the prediction of lung cancer. Using datasets that incorporate clinical records, imaging modalities, and genetic profiles, the research assesses the predictive capabilities of multiple …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 14, Issue 3, 2025 · pp. 1–11 Read article
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Performance Analysis of Machine Learning Algorithms For Disease Prediction
Abstract: In this 21st century, where Digitization makes humans measure, record, analyze and to manipulate the huge amount of data as per the requirement, prediction of the decease based on Machine Learning models will be representing one of the good applications of the efficient data handling. An Automatic Decease Prediction system based on the symptoms would be the great boon for the medical practitioners. The Supervised Machine Learning models, such as …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 11, Issue 3, 2024 · pp. 9–18 Read article
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A Comprehensive Analysis of Classification Methods for Churn Prediction in Financial Services
Abstract: Persistent issues that affect long-term revenue in the banking sector include excessive client attrition. Customary churn models depend on measures related to customer satisfaction, which often result in low predictive accuracy due to their subjective nature. This study proposes an effective early warning model to address customer churn in financial services. Data is preprocessed through cleaning, one-hot encoding, Z-score normalization, and Min-max scaling. To handle class imbalance, the SMOTE algorithm …
Published in Journal of Advanced Database Management & Systems · Vol. 12, Issue 2, 2025 · pp. 47–61 Read article
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Fuzzy Keyword Search over Encrypted Data in Cloud Computing using String Matching Algorithm
Abstract: AbstractAs cloud computing ends up plainly overarching, over and extra sensitive information square measure being incorporated into the cloud. In spite of the fact that antiquated accessible encoding plans empower a client to immovably seek over scrambled learning through catchphrases and by choice recover records of premium, these systems bolster exclusively exact watchword look. Amid this paper, for the most vital time, we have a tendency to celebrate and explain …
Published in Journal of Operating Systems Development & Trends · Vol. 4, Issue 2, 2017 · pp. 8–12 Read article
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An Empirical Study on Evaluating Graph Based Clustering for HD Data Using Attribute Selection
Abstract: An attribute subset selection can be showed as a process of identifying and eliminating or removing a number of irrelevant and surplus attributes (features) because irrelevant attributes do not give predictive accuracy and the surplus attributes provide the information that is already present in the other attributes. Attribute selection involves identifying a subset of the most useful attributes that produces the similar results as the final set of results. An …
Published in Journal of Advanced Database Management & Systems · Vol. 1, Issue 2, 2014 · pp. 33–40 Read article
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Understanding Kameela's Importance In The Unani System Of Tibb: A Detailed Perspective
Abstract: Kameela or Kamala, a renowned Unani medicine, has been utilized by Unani physicians for centuries to effectively address Amraze Jildiya, commonly known as skin diseases. Its medicinal properties have been extensively documented in classical Unani texts. These perennial shrubs or small trees are widely distributed in tropical and subtropical regions, typically found at altitudes below 1,000 m. The pharmacological activities of Kameela encompass a broad spectrum, owing to its diverse …
Published in Research & Reviews : A Journal of Unani, Siddha and Homeopathy · Vol. 10, Issue 3, 2023 · pp. 16–22 Read article
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Electromagnetic and Dielectric Performance of Polymer–Ceramic Composite Substrates for Fractal-Based IoT-Antenna Fabrication
Abstract: Polymer–ceramic composite substrates play a crucial role in determining the electromagnetic performance, mechanical stability, and thermal reliability of radio-frequency devices. In this work, a polymer-based composite substrate is systematically investigated for its suitability in compact IoT and RFID antenna applications. A fractal-structured antenna is employed as a functional test platform to evaluate the dielectric behavior, impedance characteristics, and radiation efficiency of the composite substrate. Novelty of the proposed reader antenna …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1518–1534 Read article