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63 articles for “Extra Trees”
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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
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Herbal Shampoo: A Comprehensive Overview
Abstract: Shampoo is a cosmetic product designed mainly to use surfactants to clean away grease, dirt, and skin flakes from hair safely when used as intended. Today, shampoo not only cleanses the hair and scalp, but also helps stimulate hair growth and reduce hair loss. To achieve these goals, the shampoo industry incorporates a range of chemical additives that may present risks to consumers. It also acts as a conditioning agent, …
Published in Research & Reviews: A Journal of Pharmacognosy · Vol. 12, Issue 2, 2025 · pp. 15–21 Read article
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Effect of AM Fungi on Biomass Production and Nutrient Uptake of Agroforestry Tree Seedling of Acacia species
Abstract: ABSTRACTIn a controlled pot experiment, agroforestry legume trees Acacia senegal (L.) Willd. and Acacia nilotica (L.) Willd. Ex. Del seedlings were inoculated with three different species of arbuscular mycorrhizal fungi (AMF), Glomus deserticola, Glomus fasciculatum and Gigaspora margarita which were isolated by extraction from the soil from different localities of western Rajasthan. Inoculation treatments under water deficiency significantly increased biomass production and nutrient uptake in both the species of Acacia …
Published in Research & Reviews : Journal of Botany · Vol. 1, Issue 1, 2012 · pp. 28–34 Read article
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Impact of Tourism on Forest Habitat Surrounding in Unakoti: An Important Archaeological Site of Tripura, North-East India
Abstract: In this paper, we described the effects of tourism on forest habitat diversity, structure and biomass potential. To assess the effects of tourism pressure on surrounding forest habitat, we recorded and scored all ongoing disturbances factor in all selected forest stand. Tree species richness, stem density, basal area and population structure were investigated in two categories of forest stand i.e., occasionally visited and frequently visited forest areas selected based on …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 8, Issue 3, 2018 · pp. 50–66 Read article
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Comprehensive Evaluation of Quercetin from Bauhinia purpurea for Its Anti-Acne and Anti-Inflammatory Potential, Including Advances in Quercetin-Loaded Nanogel Formulation
Abstract: Acne vulgaris is among the most prevalent chronic inflammatory dermatoses in clinical dermatology, afflicting a substantial proportion of the global adolescent and adult population. Conventional pharmacotherapies — including topical retinoids, benzoyl peroxide, and systemic antibiotics — remain the therapeutic mainstay; however, their long-term utility is progressively undermined by adverse cutaneous reactions, systemic toxicity, and the rising prevalence of antibiotic-resistant Cutibacterium acnes strains. These limitations have intensified scientific interest in plant-derived …
Published in Research & Reviews: A Journal of Drug Formulation, Development and Production · Vol. 13, Issue 2, 2026 · pp. 34–46 Read article
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Performance Evaluation of Segmentation Algorithms for Apple Fruit Grading
Abstract: For supplying high-quality food products within a short time, automated grading of fruits is getting special attention. Fruit grading technique will grade the fruits using their shapes, color and outer look. This emphasizes the necessity of image segmentation which extracts important features from an image. This paper consists of analysis of different segmentation algorithms for detecting damage part of fruit. Marker-based watershed algorithm uses internal and external markers to locate …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 1, Issue 2, 2014 · pp. 34–40 Read article
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Antidiabetic and Antioxidant Activity of Leaves of Aegiceras corniculatum (L.) Blanco (Black Mangrove): An in vitro and in vivo Study
Abstract: AbstractPurpose: Aegiceras corniculatum (L.) Blanco, commonly known as Black Mangrove, is a species of shrub or tree mangrove with a distributed Indian mangrove forest and traditionally used to treat diabetes and other health ailments. Aim: The objective of this work was to enlighten the function of Indian mangrove variety of A. corniculatum leaves on carbohydrates blemishing reactions through diabetes using in vitro and in vivo methods. Methods: The aqueous leaves …
Published in Research & Reviews : Journal of Herbal Science · Vol. 7, Issue 1, 2018 · pp. 23–31 Read article
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Contract and Feature Extraction of CBIR Method Using Soft Computing Techniques in Machine Learning
Abstract: There is expansion in size of picture securing and information capacity strategies and furthermore there is expansion in data set of pictures. Prior text-based depiction and manual comment of pictures were utilized for recovery of pictures that was a tedious errand. The need of great importance is to deal with the huge assortments through proficient frameworks called content-based picture recovery frameworks. For this situation visual items in the picture like …
Published in Journal of Instrumentation Technology & Innovations · Vol. 12, Issue 1, 2022 · pp. 17–26 Read article
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Antidiarrheal Activity of Leucaena Leucocephala in Castor Oil Induced Diarrhea in Albino Rats
Abstract: The purpose of the present study was to evaluate scientifically the anti-diarrheal effects of different extracts of leaves of Leucaena leucocephala. Different extracts of Leucaena leucocephala like petroleum ether, chloroform, and ethyl acetate were studied against castor oil induced diarrhea model in albino rats. The weight of the fecal matter induced by castor oil induced diarrhea was recorded as the chief parameter. Standard drug loperamide (1 mg/kg, i.p.) showed highly …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 7, Issue 1, 2020 · pp. 8–12 Read article
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Effect of Particle Size on Recovery of Moringa (Moringa oleifera) Seeds Oil and Quality Characterization
Abstract: Utilization of various plant parts of the moringa tree is gaining interest nowadays due to their versatile quality characteristics. Different parts of the moringa tree, like leaves, flowers, fruits, seeds, and barks, are distinguished well in the decade due to their inherent nutritional as well as medicinal properties. Moringa seed oil has potential quality characteristics like other well-regarded oils, viz., olive oil, coconut oil. The objective of this study was …
Published in Research & Reviews : Journal of Herbal Science · Vol. 14, Issue 1, 2025 · pp. 1–14 Read article
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Title-: Hello! Are we alone? If you're like me, you may want to know me
Abstract: A thin layer near the surface of Earth is teeming with life of huge diversity: from micro-organisms to plants, animals, and possibly even more intelligent species humans !. Up till now, human forms the only known samples of intelligent civilized life in the Universe? We humans accepted that the laws and concepts of physics and chemistry can be applied throughout entire cosmos. Is there then a general biology as well …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 8, Issue 3, 2019 · pp. 1–22 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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Chromosomal Aberration and Mutagenicity Toxicological Studies of Beta-Sitosterol Isolated from Ocimum gratissimum (Lamiaceae)
Abstract: Ocimum gratissimum is an important medicinal plant belonging to the Lamiaceae family. Ocimum gratissimum is a small erect or straggling tree or large, woody, climbing shrub found almost throughout India including Andaman and Nicobar Islands. Stem have been used in antifertility treatment in the indigenous system of medicine, and further clinical tests substantiated their efficacy. The root bark contains diketones, fatty matter, rubber, dulcitol, Beta-sitosterol, phlobatannin and glycosidal tannins. Stem …
Published in Research & Reviews: A Journal of Pharmacognosy · Vol. 4, Issue 2, 2017 · pp. 1–6 Read article
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Text Mining Algorithms in Social Media
Abstract: AbstractSocial networks are wealthy in different sorts of substance, for example, texts and multimedia. The capacity to apply text mining calculations viably with regards to content information is basic for a wide assortment of uses. Interpersonal organizations require text mining calculations for a wide assortment of uses, for example, watchword search, characterization, and bunching. While search and characterization are notable applications for a wide assortment of situations, interpersonal organizations have …
Published in Journal of Communication Engineering & Systems · Vol. 10, Issue 3, 2020 · pp. 26–29 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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Cutting-edge Deep Learning Methods for Predicting and Detecting Cardiovascular Diseases
Abstract: Cardiovascular diseases (CVDs) remain a major global health issue, highlighting the need for improved early detection and risk assessment methods. This research investigates the efficacy of both deep learning and traditional machine learning methods in forecasting cardiovascular diseases (CVDs). We evaluate a variety of models, including Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Multilayer Perceptrons (MLPs), Long Short-Term Memory (LSTM) networks, as well as Logistic Regression (LR), Decision Trees …
Published in Recent Trends in Parallel Computing · Vol. 11, Issue 2, 2024 · pp. 36–42 Read article
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A Review of Code Defect Likelihood Using ML Methods
Abstract: AbstractSoftware begets defects and defects are inevitable in software design and coding. This paper focused on five machine learning analysis models (MLAM); Support Vector Machine, Random Forest, K-Nearest Neighbor, Classification and Regression Tree, and Linear Discriminant Analysis. These models are trained to detect software defects using the software defect dataset from Promise data repository. The collected dataset is preprocessed to reduce the amount of redundant features using a dimension reduction …
Published in Journal of Open Source Developments · Vol. 7, Issue 3, 2020 · pp. 1–6 Read article
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Crop Yield Prediction Using Machine Learning Algorithm Based on Climate Variables
Abstract: India's economy is based primarily on agriculture, as over 50% of the country's population depends on it for their livelihood. The long-term viability of agriculture is seriously threatened by variations in the weather, climate, and other environmental factors. Because machine learning provides tools for decision assistance in agricultural yield prediction, including guidance on which crops to plant and when to plant them during the growing season, it is essential to …
Published in International Journal of Cheminformatics · Vol. 1, Issue 2, 2023 · pp. 49–52 Read article
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Vehicle Insurance Fraud Detection Using Supervised Neural Network Model
Abstract: Vehicle insurance fraud is a serious problem that causes huge financial losses to insurance companies. In recent years, developing fraud detection models using machine-learning techniques has been of great interest. This study proposes a novel approach for vehicle insurance fraud detection using Supervised Neural network model on the Kaggle Vehicle Insurance Fraud Detection dataset. The initial step in this study involves performing data pre-processing and feature extraction on the dataset, …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 10, Issue 1, 2023 · pp. 32–39 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