Search
424 articles for “R Tree”
-
A Review of Murraya koenigii (Curry Tree) which act as a Multiskilled Medicinal Plant with Various Medicinal Properties
Abstract: Medicinal plants are used in herbalism. They form the easily available source of healthcare purposes in rural and tribal areas. World’s about 80% population relies upon herbal products because they have been considered safe, effective, and economical. This review article describes the medicinal importance of the medicinal plant Murraya koenigii. It should be used to cure the symptoms of variety of diseases.
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 10, Issue 1, 2021 · pp. 25–29 Read article
-
Network Intrusion Detection System Using Decision Tree
Abstract: This paper presents a novel approach to network intrusion detection systems (NIDS) using advanced decision tree algorithms to address critical limitations in existing IDS solutions. Traditional IDSs often struggle with high false positive and negative rates, lack of scalability, and poor interpretability. Our proposed IDS leverages decision trees to enhance detection accuracy, interpretability, and scalability, thereby improving network security. Decision trees are chosen for their adaptive learning capabilities, transparent decision-making …
Published in Journal Of Network security · Vol. 12, Issue 2, 2024 · pp. 22–33 Read article
-
CFD Analysis of Tree Shaped Fin Array on Flat and Symmetrical Wedge Shaped Base Plate
Abstract: Heat generated from electronic chips is usually siphoned off by placing a heat sink. Due to the poor heat transfer capability of air extended surfaces are used as heat sink. Constant research is being carried out on the selection of geometry and material of extended surface for effective heat transfer. In the present work CFD analysis (ANSYS 14) is done on Tree fin array using FLUENT on a flat shaped …
Published in Journal of Thermal Engineering and Applications · Vol. 1, Issue 1, 2014 · pp. 1–6 Read article
-
Comparative Responses of Some Fuel Wood Trees at Early Seedling Stage
Abstract: Seedling of leguminous fuel wood trees (Bauhinia variegata, Delonix regia, Peltophorum pterocarpum, Samanea saman, Saraca indica) were analyzed at different developmental stages for biochemical constituents potentially related to fast-growing habit in order to identify some markers. Protein content of leaves and stem tissue was higher in Bauhinia variegata, particularly at later stages. Total amino acid level, however, did not show much difference between growing species. Total carbohydrate content (both soluble …
Published in Research & Reviews : Journal of Botany · Vol. 9, Issue 2, 2020 · pp. 5–13 Read article
-
A Review on Aegle Marmelos: A Potential Medicinal Tree
Abstract: Bael, Aegle marmelos (Linn.) Correa ex Roxb., A tree of Indian origin has been known since prehistoric times. It has the significance of a great myth to Hindus. The use of daily life has great nutrition, environment and commercial significance. It has long been used in traditional medicine to treat constipation, diarrhea, diarrhea, peptic ulcer and respiratory infections. Essential therapeutic properties of baelareantidiabetic, antimicrobial, anti-inflammatory, antipyretic, analgesic, cardioprotective, antispermatogenic, anticancer …
Published in Research & Reviews: A Journal of Pharmacognosy · Vol. 9, Issue 1, 2022 · pp. 5–12 Read article
-
Prediction of Compressive Strength of Concrete Using Machine Learning Techniques
Abstract: Compressive strength of concrete is an important parameter for designing any concrete structure. Compressive strength of concrete is a complex nonlinear function of its ingredients. Prediction of Concrete compressive strength plays a vital role in pre design phases of the structure and quality control of construction. The conventional methods of compressive strength determination are time consuming, so the use of data mining methods to predict the strength beforehand is helpful. …
Published in Journal of Construction Engineering, Technology & Management · Vol. 5, Issue 3, 2015 · pp. 34–41 Read article
-
AI/ML-Based Approach to Solar Irradiance Prediction and Energy Suitability
Abstract: In this paper, due to challenges in precisely predicting solar irradiance, which is essential for solar power system optimization, we employed six diverse machine learning (ML) techniques: Linear Regression, Decision Tree, Random Forest, Gradient Boosting methods (including XGBoost), and Neural Networks—to analyze and predict outcomes using a dataset containing meteorological and temporal features. Key variables include wind speed, humidity, and temperature, which significantly influence the model’s predictive capability. Each method …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 16, Issue 3, 2025 · pp. 36–48 Read article
-
Machine Learning Based Automated Detection of Sepsis: A Study
Abstract: Sepsis is a serious condition that occurs when the body's response to infection leads to tissue damage, organ failure, or death. Human body generally releases chemicals into the blood vessels to fight any kind of infection. Approximately 30 million people suffer from sepsis and 6 million people die from sepsis every year according to WHO. Around 4 million 200 thousand new-born and children are affected by sepsis all over the …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 10, Issue 1, 2023 · pp. 1–10 Read article
-
Optimization of Robotic Path Planning Algorithms for Autonomous Material Handling Systems
Abstract: For autonomous systems for handling materials (AMHS) to operate as efficiently as possible in industrial and logistical settings, robotic route planning is essential. This study examines many robotic route planning algorithms, emphasizing their use, ways of optimization, and difficulties in material handling systems. To improve the effectiveness, precision, and computational viability of these algorithms, the study also examines a number of optimization strategies, including machine learning, parallelization, heuristic search, and …
Published in International Journal of Robotics and Automation in Mechanics · Vol. 2, Issue 2, 2024 · pp. 15–20 Read article
-
Bird-Tree Associations and Co-occurrence Patterns in Delhi: Implications for Urban Ecological Restoration and Invasive Species Management
Abstract: Urban trees and birds are intertwined indicators of ecological resilience in cities. This study maps citywide bird-tree interactions in Delhi, India, hosting more than 300 avian species. The city was divided into hexagonal grids, and bird-tree data (506 interactions) were collected through field surveys across 131 sites using standardised 1-kilometre transects. Native keystone species like ficus supported the greatest bird diversity, while invasive Prosopis juliflora was widely used for perching …
Published in Research & Reviews : Journal of Ecology · Vol. 16, Issue 2, 2026 Read article
-
Moringa Oleifera: A Review on Nutritional and Therapeutic values of Miracle Tree
Abstract: Nowadays, there has been significant change in socioeconomic status, prompting individuals to be increasingly concerned about their lifestyle and health. They understand the negative consequences of manmade items. They express interest in natural items as a result. Over time, the usage of natural products derived from plants that have fewer adverse effects has grown in popularity. There is vast potential for natural products that may provide health benefits beyond conventional …
Published in Research & Reviews: A Journal of Pharmacognosy · Vol. 12, Issue 2, 2025 · pp. 48–54 Read article
-
Identification of Brain Stroke Using Artificial Intelligence
Abstract: Globally, strokes are the primary cause of disability and mortality. Recently, machine learning (ML) and deep learning (DL) have been employed by artificial intelligence algorithms as effective stroke diagnosing techniques. These days, machine learning and data mining technologies are used in the construction of the main models. We have used five machine learning algorithms to determine if a stroke has occurred or is likely to occur based on a patient’s …
Published in Journal of Microwave Engineering and Technologies · Vol. 11, Issue 2, 2024 · pp. 15–22 Read article
-
Software Approach for Implementing Production Fuzzy Inference Rules for a Hybrid Ensemble Model
Abstract: AbstractThis article provides an overview of the decision tree induction software and random forest ensemble. The general programmatic principles of building a fuzzy decision tree in the Microsoft Visual Studio integrated development environment using the object-oriented C # language on the. Net Framework platform are described. It can be used to develop a hybrid ensemble classifier model.
Published in Recent Trends in Programming languages · Vol. 7, Issue 3, 2020 · pp. 8–16 Read article
-
Novel Plant Growth Promoting Rhizobacteria from Rhizospheres of Date Palm (Phoenix dactylifera): 16S rRNA Typing and Phylogenetic Analyses Reveal their Distinct Identity
Abstract: AbstractPlant growth-promoting rhizobacteria (PGPR) comprise a large portion of soil microbiome and are essential for the growth of plants as they are capable of exhibiting a range of plant growth promoting biochemical mechanisms. Reports on rhizosphere microflora of date palm tree Phoenix dactylifera are scarce and the rhizomicrobiome of the date palm tree is expected to have microbial members that exhibit features to overcome stress due to varying conditions such …
Published in Research and Reviews: A Journal of Microbiology and Virology · Vol. 9, Issue 1, 2019 · pp. 11–25 Read article
-
Bird-Tree Associations and Co-occurrence Patterns in Delhi: Implications for Urban Ecological Restoration and Invasive Species Management
Abstract: Urban trees and birds are intertwined indicators of ecological resilience in cities. This study maps citywide bird-tree interactions in Delhi, India, hosting more than 300 avian species. The city was divided into hexagonal grids, and bird–tree data (506 interactions) were collected through field surveys across 131 sites using standardized 1-kilometre transects. Native keystone species, like ficus, supported the greatest bird diversity, while invasive Prosopis juliflora was widely used for perching …
Published in Research & Reviews : Journal of Ecology · Vol. 15, Issue 2, 2026 · pp. 1–23 Read article
-
Tweets Classification using Different Classifiers for Sentiment Analysis
Abstract: Twitter is a famous platform for social networking where people share and engage with "tweets" comments. It is a way of expressing people's opinions or emotions on various topics. Different parties, like producers and consumers, have carried out a sentiment analysis on tweets to gain insights into goods or to analyze the sector. Also, the accuracy of our sentiment analysis forecasts will increase with the recent advances in machine learning …
Published in Research & Reviews : Journal of Statistics · Vol. 10, Issue 3, 2021 · pp. 34–43 Read article
-
Cyber-Security Evaluation for a Hypothetical Nuclear Power Plant using the Attack Tree Method
Abstract: The widespread introduction of digital network systems in nuclear power plants has increased such infrastructures vulnerability to cyber-attacks. The attack tree approach to evaluate and analyze cyber-attacks quantitatively, in a nuclear power plants' network system is presented in this work. Information on a hypothetical nuclear power plants' network system was used to build attack trees that show different attack paths that external adversaries can use to compromise the network system. …
Published in Journal of Nuclear Engineering & Technology · Vol. 4, Issue 3, 2014 · pp. 1–14 Read article
-
Finding Churn Trend Scenario Using ML Techniques
Abstract: Abstract Media transmission and in addition the network access suppliers assumes an essential part in the mobile communications and the data society. Telecom segment is consistently developing with its progression in highlights and innovation. Consumer loyalty is an imperative factor which chooses the execution of firms. Customer churn expectation is an essential technique in CRM (Customer Relationship Management), knowing the churn propensity appeared by the customers helps to take better …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 6, Issue 1, 2019 · pp. 1–8 Read article
-
A Medical Expert System to Manage Disease using Oversampling and Decision Tree
Abstract: Now-a-days modern technology is joining hands with traditional system of medical diagnosis and treatment to alleviate health related problems faced by modern age due to its lifestyle and hectic work pressure. Therefore, it is paramount to develop a system that can identify the major causes of health related problems beforehand, so that people can follow some precautionary measures to prevent those causes and can have hassle free life. Decision tree …
Published in Recent Trends in Programming languages · Vol. 7, Issue 1, 2020 · pp. 27–33 Read article
-
Disease Prediction for Heart using Data Mining Techniques and Decision Tree Classification
Abstract: Heart disease is a prominent cause of death worldwide, and many people are concerned about it. Early detection of heart disease becomes very crucial and has the potential to save many lives. However, detecting cardiovascular diseases such as heart attacks, coronary artery disease, and others of similar types is a critical challenge presented by routine clinical data analysis, even by using well known algorithms. We can’t risk lives of people …
Published in Journal of Instrumentation Technology & Innovations · Vol. 12, Issue 2, 2022 · pp. 16–22 Read article