Search
421 articles for “R Tree”
-
Malicious Network Traffic Detection Using Hybrid Feature Selection with Ensemble Neural Network
Abstract: The detection of malicious network traffic is a critical aspect of cybersecurity, aiming to protect sensitive data and maintain the integrity of network systems. This study introduces a novel approach that combines hybrid feature selection with ensemble neural networks to enhance the accuracy and efficiency of malicious network traffic detection. The dataset used in this study was obtained from Kaggle and offers a wide-ranging and varied collection of network traffic …
Published in Nano Trends – A Journal of Nano Technology & Its Applications · Vol. 27, Issue 3, 2025 Read article
-
Machine Learning Approaches for Phishing Detection: A Comparative Study
Abstract: These days, everyone has an internet addiction. All of us have used the internet for banking, booking, recharging, and buying. Phishing is a type of website threat that exists online. On the original website, phishing is an attempt to illegally obtain information such as login ID, password and credit card information. In this research, we proposed an efficient phishing detection system based on machine learning. Overall, the experimental findings demonstrated …
Published in International Journal of Satellite Remote Sensing · Vol. 2, Issue 1, 2024 · pp. 35–45 Read article
-
Investigating Forest Gap Makers and Seedling Recruitment on Mangrove Forest Ecosystem, Onne, Rivers State, Port Harcourt
Abstract: The present study investigated forest gap makers and seedlings recruitment in mangrove forest, Onne, Rivers state, Nigeria. The aim of the present study was to examine canopy gap characteristics and their influence on mangrove forest regeneration. The specific objectives were to identify gap makers and theagents of canopy gap formation in the three mangrove formations, investigate seedling recruitment and growth in forest gap sizes in the three mangrove formations. The …
Published in Research & Reviews : Journal of Ecology · Vol. 12, Issue 2, 2023 · pp. 47–52 Read article
-
Design and Implementation of A 4-bit Multiplier using Wallace Tree Architecture in 180 nm Technology
Abstract: Over the period of last decade, power dissipation has become one of the most important factors for VLSI designers in the design of most digital systems. Even though the speed and area are considered to be the critical factors in design of digital systems, there is a trade of with power consumption. Adders and multipliers are the most important arithmetic units in a processor and the major sources of power …
Published in Journal of Microcontroller Engineering and Applications · Vol. 2, Issue 1, 2015 · pp. 17–23 Read article
-
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
-
Implementing Theory ofConstraints in an Indian SME: A Bearing Rings Manufacturing Machine Shop
Abstract: The Goal by Goldratt and Cox (1984) inspiring study, ‘Theory of Constraints’ has merged from simple production scheduling technique into management philosophy with best practices in profit optimization in operations management. This research work presents a case study of ‘Theory of Constraints’ in an Indian SME in a bearing races manufacturing machine shop. Machine shop is equipped with state of the art with CNC turning machines. In this machine shop, …
Published in Trends in Mechanical Engineering & Technology · Vol. 11, Issue 2, 2021 · pp. 31–40 Read article
-
Preliminary Phytochemical Investigation of the Different Solvents of the Stem of the Anogesssuspendula: A Vulnerable Taxonomic Tree
Abstract: Medicinal plants are very important, and they are very useful kind of the gift of the nature. From the time remote, the plants and their various parts have been used for a variety of purposes. The development of the civilization has been correlated with the development and the utilization of the plants through various means. They are major sources of the medicines. In this research paper, we have worked on …
Published in Research and Reviews: A Journal of Health Professions · Vol. 9, Issue 1, 2019 · pp. 31–35 Read article
-
Phishing URL Detection Using Machine Learning Classification Algorithms
Abstract: Phishing attack is utilized to get the data like username, secret phrase, financial balance subtleties, and credit card details. Today, is the most well-known cybercrime. Phishing assaults additionally influence the web-based installment area monetary organization, document facilitating or distributed storage, and numerous others. Phishing assault generally focuses to these Web locales which are connected with the internet-based payment area and Web mail. To stop phishing attacks, a variety of methods …
Published in Journal of Web Engineering & Technology · Vol. 9, Issue 3, 2022 · pp. 22–33 Read article
-
Preliminary Phytochemical Investigation of the Leaves and Stem of the Prosopis cineraria (L.) Druce
Abstract: The trees are the greatest gift to the mankind; the civilization on this planet depends on the successful utilization of the plants and the animals for the various purposes. Early man depends on the nature’s mercy and they hunted the animal for the hunger but as the human started the domestication, they use the trees and they observed the natures for the several purposes. The trees are the reservoirs of …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 6, Issue 1, 2019 · pp. 39–43 Read article
-
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
-
Latex allergy: An Under-Rated Health Hazard
Abstract: Dentists and their patients are constantly exposed to many occupational health problems, one amongst them being latex allergy. Studies have shown that healthcare workers (HCW) are three times more prone to latex allergy with the prevalence amongst dental students being 5%. The present paper explores latex allergy in dental professionals, its screening tests and various recent alternatives available in India. Latex is derived from the sap of the rubber tree. …
Published in Research and Reviews: A Journal of Medicine · Vol. 1, Issue 1, 2011 · pp. 81–87 Read article
-
A Case based Practical Approach for Novel Data Transformation to Enhance Accuracy of Decision Tree Ensembles
Abstract: AbstractIf we talk about any real world situation then we can see that all the situations dramatically changes as the time passes. If we say this statement in some technical form, concepts changes gradually. This situation is called as Concept Drift that is the core of any approach. Until we cannot get the accurate output for a given input parameter, the concepts will concurrently change. To overcome this situation we …
Published in Journal of Computer Technology & Applications · Vol. 5, Issue 1, 2014 · pp. 1–6 Read article
-
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
-
In silico Characterisation of Proteins of Glycyrrhiza glabra and Assessment of Nanoparticle Synthesising Ability of Closely Related Plant Species
Abstract: The main aim of the study is to analyse the proteins of Glycyrrhiza glabra using various bioinformatics tools. The proteins were structurally as well as functionally characterized using tools like ProtParam, SOPMA and SOSUI. NAD(P)H quinone oxidoreductase protein in Glycyrrhiza glabra was selected for evaluation and protein BLAST was performed. Primary structure prediction was performed to evaluate physical and chemical characteristics of proteins viz., Molecular weight, pI, etc. The secondary …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 9, Issue 2, 2019 · pp. 97–103 Read article
-
Data Handling Algorithms for the Healthcare System for the Prediction of Diabetes in Health Data Science (HDS): A Review Report
Abstract: In recent years, diabetes has become the biggest disease in different countries around the world. This disease is caused by adulteration in food ingredients, unhealthy food habits, a lack of physical exercise, and changing the lifestyle every time without a routine chart. The main objective of this review paper is to provide a proper understanding of the machine learning algorithm used in the healthcare system to handle diabetic patients' data. …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 2, 2024 · pp. 1–10 Read article
-
Survey of Predictive Models for Safe Route Predicting Using Machine Learning Techniques
Abstract: Safe route prediction is essential for the well-being and security of individuals in urban and rural environments. Machine learning techniques leverage historical data, real-time information, and algorithms to estimate the safety levels of different routes. The objective of safe route planning is to minimize risks, including crime-prone areas and accidents, reducing potential harm, property damage, and emotional distress. However, challenges arise from the complex and dynamic nature of urban environments, …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 11, Issue 1, 2024 · pp. 13–22 Read article
-
Human Activity Recognition Using For Smartphone Sensors To Predict The Best Accuracy Based On Machine Learning Algorithms
Abstract: Human activity recognition requires predicting the action of a person based on sensor-generated data. Due to the enormous number of applications possible by modern ubiquitous computing devices, it has sparked a lot of attention in recent years. It categorizes data into actions such as walking, sitting, standing, and lying. The accelerometer and gyroscope were used to generate the sensor data, and the sensor signals were pre-processed with noise filters. The …
Published in Recent Trends in Sensor Research & Technology · Vol. 9, Issue 1, 2022 · pp. 12–23 Read article
-
Incorporating Indigenous Knowledge Systems into Environmental Education for Sustainable Development
Abstract: Indian history is extensive and includes everything from the invention of the zero to the creation of novel medical treatments or technological advancements. The traditional Indian knowledge system has continuously demonstrated its sustainability and commitment to advancing the welfare of all societal members. Indigenous knowledge has gained importance in science and technology in recent years. But it also has a big impact on environmental education. Global suffering is a result …
Published in International Journal of Environmental Planning and Development Architecture · Vol. 2, Issue 2, 2024 · pp. 1–7 Read article
-
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
-
A Survey On Leveraging Machine Learning for Phishing Attack Prediction and Detection
Abstract: Phishing is one of the biggest cybersecurity threats that exploits user trust by masquerading as a legitimate site or email to steal personal and sensitive information. A state- of-the-art-phishing detection systems survey, this review showcases the evolution from traditional list-based techniques, including blacklisting and whitelisting to machine learning and deep learning models. While list-based systems cannot evolve to detect new and zero-day attacks, the ML algorithms of Decision Tree, Random …
Published in Journal of Microelectronics and Solid State Devices · Vol. 12, Issue 3, 2025 · pp. 1–10 Read article