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421 articles for “R Tree”
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Color and Texture Features Based Object Recognition Using Machine Learning Methods
Abstract: Object recognition in images is a simple task for human but it is a complex and challenging task for machines due to different factors such as occlusion, lightening, object size, scaling etc. A Robust and automatic image processing system is thus critically required to make such a sampling approach practical. In this paper, we propose a method for classification of objects in images by incorporating global descriptors of the image …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 5, Issue 2, 2018 · pp. 1–11 Read article
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Semantic Classification of Images in Hierarchical Manner using Fuzzy Rules and HSVM Classifier
Abstract: Hierarchical structure classification is more effective in concept based classification. The feature vector is varying with the different concepts, though it belongs to the same class. Images which are similar in appearance are not correlated semantically. Hence an author made an attempt to classify the images in the dataset in concept wise in a hierarchical manner. For this, an author manually clustered the same concept images in a layer by …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 7, Issue 2, 2020 · pp. 33–54 Read article
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Phylogenomic Analysis of Human Multigene Families Using Computational Approach
Abstract: Evolution leads to major morphological transformations and anatomical complexity achieved by higher vertebrates. The phylogenomic analysis of human multigene families (ERBB, HCK, VAMP) was conducted to check the evolutionary history and functional significance. The colossal amount of diversified protein dataset for a wide variety of vertebrates and invertebrates was used to derive the phylogeny of highly significant and functionally diverse gene families. Phylogenetic analysis reveals the mode of evolution and …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 3, Issue 1, 2016 · pp. 1–8 Read article
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Fertilizer Prediction Using Machine Learning
Abstract: Fertilizer prediction is a critical aspect of modern agriculture, aimed at optimizing resource utilization while maximizing crop yields. In recent years, machine learning (ML) techniques have emerged as powerful tools for addressing this challenge by leveraging data-driven approaches to predict the optimal type and quantity of fertilizer required for different crops and soil conditions. This research paper provides a comprehensive review of the existing literature and methodologies employed in fertilizer …
Published in Journal of Mechatronics and Automation · Vol. 11, Issue 2, 2024 · pp. 26–35 Read article
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Evaluation And Demonstration of MAR1495 And Local Strain (SB-12) on Soybean Yield At Gofa Woreda Southern Nation Nations Nationalities and Peoples of Ethiopia
Abstract: Soybean is the most important legume crop in the world which can be used for human food source, animal feed, soy milk production, oil production as well as for soil fertility improvement by fixation of nitrogen. The benefits apiece use of Rhizobium inoculants show that a completely good deal of services may be saved by borderline labourers by utilizing quality proven inoculants on the farm. Rhizobia immunization to seeds is …
Published in Research & Reviews : Journal of Botany · Vol. 13, Issue 2, 2024 · pp. 52–59 Read article
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Assessment of Agricultural Potentials and Constraints of Natural Resources Management for Research Implementation in Gedeo Zone South Ethiopia Region
Abstract: This study aimed at assessing agricultural potentials and constraints of natural resources management for research implementation in Gedeo zone south Ethiopia Region. The result indicates that the use of organic and inorganic fertilizers was not efficient and the crop yield was decreasing from year to year. Use of organic fertilizer is for only high value crops of enset and coffee without determined rate. Farmers were not practiced organic fertilizers like …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 15, Issue 2, 2026 · pp. 82–93 Read article
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Machine Learning Driven Mobile Price Prediction Using Feature Selection and Parameter Optimization
Abstract: Machine learning calculations are utilized in many fields like money, training, industry, medication, and online business. Machine learning calculations show execution contrasts relying upon the dataset and handling steps. Picking the right calculation, preprocessing and post-handling techniques have incredible significance in accomplishing great outcomes. The Random Forest classifier, K-nearest neighbor classifier, and support vector machine methods are evaluated to forecast mobile phone price categories. The “prediction” dataset which is taken …
Published in Current Trends in Information Technology · Vol. 14, Issue 3, 2024 · pp. 18–25 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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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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Phytoconstituents And Pharmacological Activities Of Indian Medicinal Plant – Semal (Bombax Ceiba)
Abstract: Bombax ceiba is a member of the bombacaceae family which is sometimes referred to as red silk cotton tree and Semal. The plant is found in India, Sri Lanka, Bangladesh, Myanmar, Northern Australia,Pakistan, Java, Malaysia and Sumatra.The plant is known by various names in different languages, such as Red cotton tree and Indian kapok tree in English, Shalmali in Sanskrit, Semal in Hindi, Shimul in Bengali, M Mullilavu in Malayalam, …
Published in Research & Reviews : Journal of Botany · Vol. 12, Issue 3, 2023 · pp. 17–26 Read article
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Wireless Sensor Network Based Road Traffic Monitoring in Hilly Terrains
Abstract: AbstractIn the hilly terrains tree falling is a natural phenomenon, also river/canals overflowing in rainy season always disturb the free movement of traffic. Eventually there will be narrow roads in the hilly terrains. Traffic block occurs due this reason can be easily occurred. These incidents block the roads for several hours. Authorities are always informed much later and precious hours are spent on the roads by public. To avoid this, …
Published in Journal Of Network security · Vol. 7, Issue 2, 2019 · pp. 22–25 Read article
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Assessing the Robustness of Machine Learning Models for Wireless Intrusion Detection Under Adversarial Traffic Perturbations
Abstract: As the Internet of Things (IoT) devices and wireless communication networks continue to grow rapidly, protecting systems from cyber threats has become increasingly important. Machine learning–based intrusion detection systems (IDS) have shown strong potential in detecting abnormal and malicious network activities, yet their effectiveness and resilience when facing adversarial attacks are still not sufficiently explored. This research evaluates Machine Learning (ML) models–XGBoost, random forest, and multi-layer perceptron (MLP)—in detecting attacks …
Published in International Journal of Wireless Security and Networks · Vol. 4, Issue 1, 2026 · pp. 29–34 Read article
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Enhancement in Biomedical Polymer Nanocomposites: Biocompatibility and Mechanical Property Predictions using Machine Learning
Abstract: A machine learning (ML)-based framework is developed and validated through experimental analysis and comparative modeling to enhance system dependability and improve prediction performance. The proposed framework includes key stages such as data preprocessing, feature evaluation, model training, and performance benchmarking to determine the most effective prediction technique. Several machine learning models were evaluated, including Ensemble models, Artificial Neural Networks (ANN), Decision Tree (DT), Random Forest (RF), Support Vector Machine (SVM), …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 275–296 Read article
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Comparison of Tree Diversity and Biomass in Community-managed and Protected Tropical Dry Evergreen Forest Sites on the Coromandel Coast of India
Abstract: AbstractThis study was carried out in four 1-ha plots distributed two each in community-managed (Sunayakkadu, SN, and Kothattai, KT) and protected (Point Calimere 1 and 2 (PC 1 and PC 2) tropical dry evergreen forest (TDEF) on the Coromandel Coast of India. The present study assesses and compares the stand structure and carbon stocking potential of trees in community-managed (CM) and protected forest (PF) categories. All trees ≥10 cm girth …
Published in Research & Reviews : Journal of Ecology · Vol. 5, Issue 1, 2016 · pp. 1–9 Read article
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Predict the Severity of Diabetes Cases, Using K-Means and Decision Tree Approach
Abstract: In recent years, diabetes has emerged as one of the most prevalent infections, and its prevalence is rapidly increasing globally. Type 2 diabetes is common throughout the world. For the management and prophylaxis of diabetes, early detection is crucial. Machine Learning (ML) approaches are rapidly gaining importance in the field of diagnostic purposes due to their ability to classify data. In this article, a mixed recommended technique is presented to …
Published in Journal of Advances in Shell Programming · Vol. 9, Issue 2, 2022 · pp. 24–31 Read article
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Diabetes and the Interrelationship Between Genes Significantly Related to it: A Brief Study
Abstract: Diabetes, one of the key non-communicable diseases (NCDs), is increasing its grip all over the world in rapid pace. In India, the scenario is more severe and it is estimated that this country will become diabetes capital of the world soon. Although the vast array of research articles published worldwide has helped to understand the etiology of this disease to a great extent, a huge amount of research is still …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 9, Issue 1, 2019 · pp. 59–61 Read article
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Crop Disease Prediction by Machine Learning
Abstract: The classification of Crop can be classified into several methods. The data set of crop leaf illnesses, notably Bacterial Leaf Blight disease (BLB), a crop leaf disease with significant outbreaks throughout Thailand, and Brown Spot Crop disease (BSR), is classified employing image classification in this study. Additionally, image processing technology is used for identifying different types of crop leaf disease. These algorithms include the Random Forest, Decision Tree, Gradient Boost, …
Published in Trends in Machine design · Vol. 11, Issue 2, 2024 · pp. 21–25 Read article
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Tree Assets of Vasna, Ahmedabad, Gujarat, India
Abstract: ABSTRACTGrowing trees has become miracle but a complex chemical engineering. As we evolved, trees have provided additional necessity such as shelter, medicine, and tools. Moving to higher level of modernization, supply of necessities becomes limited and hence gap of demand-supply has created huge incremental cost and deterioration of health. Needless to mention that, we fail to maintain growth of tree diversity at the same pace we have grown and hence …
Published in Research & Reviews : Journal of Botany · Vol. 1, Issue 3, 2012 · pp. 13–17 Read article
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Effect of Image Band Number and Band Multicollinearity on Mapping Accuracy of Tree Diversity and Evenness
Abstract: 800x600 Normal 0 false false false EN-US X-NONE X-NONE MicrosoftInternetExplorer4 Satellite imageries are increasingly being used in the studies of plant diversity due to cost effective wider spatial coverage. Multispectral or hyperspectral imageries consist of different spectral bands where some bands might be multicollineared among them and deemed redundant to use in the classification/analysis. This study investigates how the accuracies of maps of tree diversity and evenness of an area …
Published in Journal of Remote Sensing & GIS · Vol. 4, Issue 2, 2013 · pp. 14–22 Read article
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‘Farmers’ Opinion towards Conservation and Causes of Depletion of Citrus at Barlekha Upazila of Moulvibazar District in Bangladesh
Abstract: The study was focused on number of citrus trees in homestead area, types and source of citrus planting materials, causes of depletion of citrus trees and villagers’ attitudes towards citrus plantation in the homestead area of four selected unions of Barlekha upazila in Moulvibazar district during July to November 2015. Eighty local people from four selected unions were interviewed for this purpose. Study indicates that mainly seedlings are used as …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 6, Issue 2, 2016 · pp. 6–14 Read article