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421 articles for “R Tree”
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Production and optimization of amylase enzyme using bacillus subtilis under solid state fermentation and its characterization
Abstract: This study employed solid state fermentation to maximize amylase production by Bacillus subtilis (OR578403). The research began by discovering and analyzing amylase-producing bacteria in soil samples followed with biochemical, molecular characterization. By using commercially available substrates like wheat bran, rice bran, and wheat rava were obtained from the local market and employed as solid substrates, which may influence amylase production and to be assessed. The identified organism was Bacillus subtilis, …
Published in International Journal of Biochemistry and Biomolecule Research · Vol. 4, Issue 1, 2026 · pp. 37–52 Read article
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Neurodevelopmental Effects of Cell Tower Radiation in Children: A Longitudinal Study
Abstract: This study investigates the impact of radiation exposure from cell phone towers on the neurodevelopmental outcomes of children aged 0–5 years. A prospective cohort approach was employed to assess key developmental parameters, including Gross Motor Skills, Fine Motor Skills, and sleep disorders. Given the increasing presence of wireless communication infrastructure, understanding its potential effects on early childhood development is crucial for public health.To analyze the collected data, advanced machine learning …
Published in Research and Reviews : Journal of Computational Biology · Vol. 14, Issue 2, 2025 Read article
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Finding Influential Users in Online Social Networks: A Tree based Approach
Abstract: In online social networking, people are getting involved in communications, but the real problem that comes to the mind is whether these communications can bring revolutions, and if so, who are the best people in given social networks that are really holding the remote control i.e. they have the power to bring these revolutions. This problem and the likes can be modelled as detecting influential users in online social networks. …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 5, Issue 3, 2018 · pp. 66–70 Read article
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A Supervised Learning Approach for Toxic Comment Detection on Social Media Platforms
Abstract: Nowadays everyone uses social media platforms like X (formerly Twitter), Instagram, Facebook, etc. for various purposes. With the help of this, we share our opinions, ideas, and feelings. Generally, the datasets obtained from the internet are constructive; however, there is a significant proportion of toxic ones. The datasets are filtered to remove noise, and noise is removed in post-processing. The study initiates with the upload and preprocessing of a toxic …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 11, Issue 2, 2024 · pp. 7–14 Read article
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CHROMAWEAR: An AI Assisted Personalized Fashion Design Recommender System for Diverse Skin Tones to Enhance Fashion Choices
Abstract: In the age of fashion, we receive the same question every day: What should I wear today to look nice? The fashion industry is always changing, welcoming inclusivity and diversity. Still, despite the advancements, there are difficulties meeting people's varied needs, especially with regard to skin tone. This research work presents a personalized fashion design recommender system with artificial intelligence support to improve the fashion choices of people with different …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 2, 2024 · pp. 49–58 Read article
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Preliminary Phytochemical Investigation of the Bark of the Prosopis Cineraria of the Ranthambore Tiger Reserve of the Rajasthan
Abstract: Phytochemistry is a branch of the modern plant sciences which is concerned with the different types of phytochemicals in different combinations. They are of several kinds of nature and of several significances for human utilization. The utility of the plants is a very old practice; from the time immoral several civilizations used plants for the various purposes but they were not based on any scientific investigation, so how exactly they …
Published in Research & Reviews: A Journal of Drug Formulation, Development and Production · Vol. 6, Issue 1, 2019 · pp. 14–17 Read article
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Atmospheric Carbon Control and Oxygen Production by Urban Green Campus
Abstract: Deforestation has resulted in a massive degradation of the forest area. At the current rate of forest degradation rejuvenation of the forest trees is becoming increasingly difficult. The urban trees thus contribute in the form of CO2 sink through carbon sequestration and produces oxygen. The urban trees also aid in improving the environmental quality. The urban vegetation is often under rated in terms of its contribution to the human benefits. …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 9, Issue 1, 2019 · pp. 131–139 Read article
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Improvement in Cluster based Routing Leach Protocol in WSN
Abstract: Wireless sensor networks contain multiple nodes which are small in nature which are called sensor nodes. They communicate among themselves via wireless strategy. There is various protocol have been proposed earlier like Hierarchical Protocols LEACH, HEED, PEGASIS TEEN, APTEEN, Mobility-based Protocols SEAD, TTDD, Joint Mobility and Routing, , Dynamic Proxy Tree-Base Data Dissemination Multipath-based Protocols, Data MULES, Location-based Protocols etc. For performing routing in sensor networks effectively, generally, we use …
Published in Journal of Web Engineering & Technology · Vol. 5, Issue 2, 2018 · pp. 5–9 Read article
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Evaluation of the Aqueous Alcoholic Extract of Laxmi Taru for Its Anticancer Property: A Review
Abstract: Simarouba glauca is considered a very valuable medicinal herbal drug used to treat diarrhea and dysentery; hence, its bark is known as dysentery bark. Different parts of the tree treat different ailments. The bark and leaf extract of Laxmi taru (Simarouba glauca) is efficiently known for its anti-helmanthic, anti-parasitic, anti-dysentric, and anti-cancerous properties. Chemotherapy, which is most frequently used to treat cancer and is becoming more prevalent around the world, …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 10, Issue 1, 2023 · pp. 28–32 Read article
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Types of Fungi Species Attacking Mulberry, Symptoms, and Their Interaction
Abstract: Mulberry trees (Morus spp.) are essential in sericulture since their leaves are the primary source of nutrition for silkworms (Bombyx mori L.). The cultivation of mulberry trees has long been integral to the silk industry, particularly in countries like China, India, and Japan. However, like all agricultural crops, mulberry trees are vulnerable to a variety of pests and pathogens including fungi. Fungal diseases can have a profound impact on mulberry …
Published in International Journal of Fungi · Vol. 2, Issue 1, 2025 · pp. 51–56 Read article
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Demodex spp. (Acari: Demodicidae) Infestation in Humans: Diagnostic Clues and Therapeutic Approaches to Primary and Secondary Demodicosis.
Abstract: Demodicosis represents an inflammatory dermatosis and adnexal disorder arising from pathologic overgrowth of Demodex mites, primarily Demodex folliculorum and Demodex brevis, which are ubiquitous human ectoparasites residing in pilosebaceous units and eyelid margins. Once regarded as benign commensals, these mites are now recognized as primary drivers or key cofactors in diverse clinical phenotypes, including papulopustular eruptions, pityriasis folliculorum, rosacea-like disorders, blepharitis, meibomian gland dysfunction, and exacerbations of comorbid dermatoses such …
Published in International Journal of Insects · Vol. 3, Issue 1, 2026 · pp. 12–20 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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Early Autism Diagnosis: Machine Learning Models and Their Effectiveness
Abstract: Diagnosis is of utmost importance for timely intervention and support. However, traditional diagnosis methods, which are based on subjective assessment, are delayed. This project explores the role that machine learning techniques might play in enhancing the accuracy and effectiveness of ASD detection. Several state-of-the-art classification algorithms were benchmarked using a dataset from Kaggle. Logistic Regression, XG Boost, Random Forest, Decision Tree, and Gradient Boosting were taken into consideration. Other performance …
Published in Journal of Instrumentation Technology & Innovations · Vol. 14, Issue 2, 2024 Read article
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A Comparison Between Two Association Rule Mining Techniques
Abstract: Normal 0 false false false EN-US X-NONE X-NONE Data mining requires associated items to be mined from given transactions. Association rule mining (ARM) has gained importance in view of trend-prediction and decision-making process. Mostly ARM is implemented using variants of FP tree growth techniques. This paper introduces an improved technique for ARM – Improved Relative Dotted Sequence Path (IRDSP)-based ARM. The logic justifying why this technique saves time in comparison …
Published in Current Trends in Information Technology · Vol. 1, Issue 2-3, 2011 · pp. 1–7 Read article
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Comparative Analysis of Heart Disease Prediction System
Abstract: In the present world, where heart illnesses are on the rise, it is crucial to forecast these diseases. Performing the task on heart disease is a bit difficult and it must be finished precisely and successfully. Heart disease identification relies heavily on Machine Learning (ML) and data mining approaches. The primary focus of the review paper is that patients are easily prone to cardiac diseases depending on medical traits. Using …
Published in International Journal of Advance in Molecular Engineering · Vol. 1, Issue 1, 2023 · pp. 1–6 Read article
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The Nutritional Value of Moringa Plant as a Superfood: A Comprehensive Review
Abstract: Moringa oleifera, commonly known as the "miracle tree," has garnered global attention for its rich nutritional profile and diverse medicinal properties. This review article comprehensively explores the nutritional composition and health benefits of Moringa, highlighting its potential as a superfood. The plant is rich in essential nutrients, including proteins, vitamins, minerals, and bioactive compounds, such as flavonoids and phenolic acids. These constituents contribute to its antioxidant, anti-inflammatory, antimicrobial, and anti-cancer …
Published in International Journal of Sustainability · Vol. 1, Issue 2, 2024 · pp. 20–23 Read article
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Comparison of Models of Machine Learning and Hyperparameter Optimization Methods on Various Datasets
Abstract: The most likely phase in achieving powerful and robust machine learning models is probably the hyperparameter tuning step. The traditional exhaustive methods of search (grid search and others) ensure that the search space is covered, but are computationally inexpensive; random search is less expensive and can still miss good regions; and lastly, the modern model-based and population-based methods (Bayesian optimization, tree-structured Parzen estimator (TPE), genetic algorithms) are thought to provide …
Published in Recent Trends in Programming languages · Vol. 13, Issue 1, 2026 · pp. 35–42 Read article
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Composition, Structure and Status of Woody Plants Along Dilla Zuria Rivers, Southern Ethiopia
Abstract: AbstractDilla zuria vegetation is located in Southern Ethiopia where agroforestry is highly exercised. The objective of the present study was to generate reliable information of floristic composition, diversity, structure and status of woody plant species in Dilla Zuria vegetation. The reliable data was collected from 50 plots each of 400 m2 using systematic sampling method. The plant species were identified by comparing with the voucher specimens preserved at National Herbarium, …
Published in Research & Reviews : Journal of Botany · Vol. 5, Issue 3, 2016 · pp. 1–15 Read article
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Real-time DDoS Attack Prediction in SDN Environments Using Machine Learning
Abstract: The ever-growing reliance on sdn-based services necessitates robust security measures against Distributed Denial-of-Service (DDoS) attacks that threaten service availability. This project investigates the development of a real-time prediction system for DDoS attacks in sdn environments, leveraging the power of machine learning. The proposed system employs a Decision Tree classification algorithm implemented in Python. To ensure accurate attack identification, the system meticulously addresses data preprocessing challenges inherent in network traffic datasets. …
Published in Journal Of Network security · Vol. 13, Issue 1, 2025 · pp. 16–27 Read article
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Abusive Language Detection using ML
Abstract: Detection of abusive language in online content has become a serious problem in recent years. Abusive language is an expression that carries grimy phrases each withinside the context of jokes, threat, vulgar intercourse conservation, or to disrespect someone. Nowadays many people post toxic comments in the social media such as Facebook, Twitter, etc. Many researches have tried to do it using the regular expression and blacklists but this is not …
Published in Journal of Advancements in Robotics · Vol. 8, Issue 3, 2021 · pp. 1–7 Read article