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152 articles for “B-trees”
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Enhancing Energy Efficiency in Air Handling Units Through AI Driven Optimization
Abstract: This research explores the implementation of artificial intelligence (AI) in enhancing the energy efficiency of Air Handling Units (AHUs) in manufacturing facilities. The study proposes a comprehensive solution architecture that incorporates temperature and humidity sensors within AHUs, utilizing RS485 for data communication. The collected data undergoes exploratory analysis, which informs the training of a decision tree algorithm, chosen for its accuracy and compatibility with edge gateways. The algorithm's predictions enable …
Published in International Journal of Industrial and Product Design Engineering · Vol. 2, Issue 2, 2024 · pp. 19–28 Read article
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Efficient Malware Detection in Cybersecurity: Leveraging Advanced Data Structures for Enhanced Threat Identification
Abstract: The cybersecurity landscape is constantly changing with more advanced malware creating major challenges for detection systems. To address these challenges effectively, advanced data structures have become essential in optimizing how data is managed, processed, and analyzed for malware detection. This review paper delves into the role of several cutting-edge data structures—bloom filters, tries, hash tables, graphs, decision trees, and suffix trees—in enhancing the efficiency and accuracy of malware detection mechanisms. …
Published in International Journal of Data Structure Studies · Vol. 2, Issue 2, 2024 · pp. 32–40 Read article
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Unravelling Modern News Classification Methods: A Systematic Review
Abstract: Nowadays, the news is being generated each second from every corner of the world, with millions of news articles generated every day. Some assume that at least 1.8 million articles are published yearly, in about 28,000 journals. It has become difficult to recognize what's fake and what's genuine due to the overflow of millions of articles every day. Not every person reads every news, so the classification of news according …
Published in Journal of Computer Technology & Applications Read article
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Enhancement of Gas Sensitivity of Composites of Carbon Derived from Rubber Tree and SnO2 to Detect Ethanol Vapor at Room Temperature
Abstract: Films of composites of activated carbon powder prepared from saw dust derived from core of rubber tree (Hevea Brasiliensis) and tin oxide (SnO2) were fabricated using the doctor blade method. Carbon powder was activated using phosphoric acid at 500°C for 45 minutes. The weight ratio carbon/SnO2 varied from 0 to 12% in steps of 2. The structural, optical and morphological properties of films were investigated using XRD patterns, UV-visible spectrums …
Published in Journal of Thin Films, Coating Science Technology & Application · Vol. 12, Issue 2, 2025 · pp. 31–44 Read article
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Detection of Phishing Website URLs and Email/SMS Using Random Forest and Multinomial Naive Bayes
Abstract: Currently, phishing attacks via SMS/email and URL have become significant threat to cybersecurity, posing risks to both individuals and organizations alike. Phishing attacks typically involve the creation of fraudulent websites or the dissemination of deceptive emails and SMS messages to trick users into disclosing sensitive information such as passwords, credit card numbers or personal details. To respond to these attacks, we develop a robust system for the detection of phishing …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 1, 2025 · pp. 22–30 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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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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Facilitated Deferred Transmmission a Risk to Public Health of Globalization and Intercountry Adoptions of Pets
Abstract: Increased temperatures due to climate change may be facilitating that arthropods vectors of zoonotic diseases rapidly colonize new territories. 6472 dogs have been selected to check main Mediterraneum zoonotic vector-borne, two transmitted by fly bites, Leishmaniasis and Dirofilariasis, and tree transmitted by ticks, Ehrlichiosis, Anaplasmosis, and Babesiosis through IFA, ELISA, PCR and microscopy tests and calculate the ratio of this diseases hosts as well the destinations in north of Europe …
Published in Recent Trends in Infectious Diseases · Vol. 1, Issue 1, 2024 · pp. 21–26 Read article
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Exploring The Therapeutical Potential Of Pongamia Pinnata For Herpes Simplex Virus Type 1 (HSV-1)
Abstract: Objective: Pongamia pinnata (L.), commonly known as Indian beech or pongam tree, is a tropical plant renowned for its medicinal properties in traditional medicine systems. Extracts derived from various parts of Pongamia pinnata have demonstrated antimicrobial, anti-inflammatory, and immunomodulatory activities. Such attributes make it a compelling candidate for exploring its therapeutic potential against HSV infections. Thymidine kinase is the target protein mostly used in the treatment of HSV1 infections. In …
Published in Research and Reviews: A Journal of Microbiology and Virology · Vol. 15, Issue 1, 2025 · pp. 1–9 Read article
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Performance of Artificial Neural Network for Tree Species Identification using Sentinel-2 Data
Abstract: Accurate land cover mapping, especially concerning vegetation, is crucial for effective land use policy planning and sustainable forest management. Hence, achieving accuracy in mapping requires a deep understanding of composition changes, vegetation conditions, and the spatial distribution of tree species. In the spatial context of tree species, it holds significant potential for applications including invasive species monitoring, delineating contaminated areas, and biodiversity conservation. However, traditional methods for tree species identification …
Published in Journal of Remote Sensing & GIS · Vol. 15, Issue 2, 2024 · pp. 12–21 Read article
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Data-Driven Energy Forecasting for Smart Homes: Ensemble Learning from IoT Meters and Relevance for Polymer-Composite Based Smart Infrastructure
Abstract: Reliable estimation of household electricity demand is relevant in creating efficiency in energy usage, optimization of the loads, and intelligent demand-side management in intelligent grid systems. This paper introduces a varied machine learning model that approaches residential electric consumption prediction using an assortment of ensemble regression boosts, including Linear Regression, Lasso Regression, Decision Tree Regressor, Random Forest, and Gradient Boosting, to predict residential electricity consumption environments on a time-series arrested …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 29–64 Read article
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Monitoring and Safety of Aircraft using Wireless Technology
Abstract: Traditional aircraft sensor networks, burdened by wire complexity and high-power demands, struggle with scalability and real-time data acquisition. This paper proposes Bluetooth Low Energy advertising as a transformative solution, leveraging its lightweight, energy-efficient, and secure nature within tree network architecture. Sensors broadcast data packets picked up by strategically placed gateways, enabling efficient data dissemination through multi-hop relaying. The approach boasts scalability due to minimal hardware and power requirements, leading to …
Published in International Journal of Satellite Remote Sensing · Vol. 1, Issue 2, 2023 · pp. 14–21 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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Algorithm for the prediction of cardiovascular disease (CVD)
Abstract: cardiovascular diseases (CVD) still claim a significant number of deaths globally and remain the number one killer with an annual death toll of nearly 17.9 million. While several medical advancements have been made, an early diagnosis is still hard to obtain, which often leads to worsening conditions and intricate treatment options. With the advancement of modern technology, Machine learning has demonstrated to be a miraculous tool which can greatly impact …
Published in Research and Reviews : A Journal of Immunology · Vol. 15, Issue 2, 2025 Read article
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A Study on the Uses and Conservation of Traditional Fruit Trees in Uttarakhand: Their Ethnobotanical and Nutritional Significance
Abstract: Uttarakhand, a mountainous state in India, is home to a rich diversity of traditional fruit trees, characterized by their significant ethnobotanical and nutritional value. These fruits, cultivated in temperate and subtropical conditions, are integral to the livelihoods of rural populations, offering food security and economic opportunities. This study explores the distribution, morphological traits, and ethnobotanical uses of traditional fruits like kafal (Myrica esculenta), hisalu (Rubus ellipticus), and timil (Ficus auriculata). …
Published in Emerging Trends in Chemical Engineering · Vol. 12, Issue 1, 2025 · pp. 01–19 Read article
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DDoS Detection Using Cascade Correlation for Improving Network Resources in Cloud Environment
Abstract: Intrusion detection is critical for protecting network security from emerging cyber threats. This study describes a unique intrusion detection system (IDS) based on the Random Forest algorithm. Random Forests are used as an effective classifier to identify patterns linked with malevolent behaviour. This technique uses Random Forests to improve the accuracy and efficiency of intrusion detection systems. The suggested methodology's value is shown by its performance on the benchmark KDD …
Published in International Journal of Wireless Security and Networks · Vol. 3, Issue 2, 2025 · pp. 17–22 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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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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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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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