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117 articles for “tree fin”
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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
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Design and Validation of Low Power High Speed area effective comparator using CMOS Technology
Abstract: The most fundamental arithmetic comparisons in a digital comparator involve comparing two numbers that are greater than, less than, or equal to each other. While doing enormous level arithmetic comparisons, a digital comparator needs more space, which results in higher power consumption and a delayed response. This can be solved by using N-bit comparator with two modules using 45GPDK CMOS Technology. An N-bit comparator can operate at extremely high speeds …
Published in Recent Trends in Electronics Communication Systems · Vol. 10, Issue 2, 2023 · pp. 20–29 Read article
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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
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Risk Assessment of Batch Sulfonation Process using Fault Tree and Bowtie
Abstract: The current study looks into the batch reactor's sulfonation reaction's safety features. Acetanilide, thionyl chloride, and chlorosulphonic acid are used in the sulfonation reaction under consideration to generate acetyl sulphonyl chloride as well as by-products such HCl and SOx. Steam starts the process, which is exothermic in nature. Water is then chilled to maintain a temperature of 50°C and a pressure of one atmosphere. The Hazard and Operability (HAZOP) analysis …
Published in Emerging Trends in Chemical Engineering · Vol. 11, Issue 3, 2024 · pp. 50–56 Read article
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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
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An Experimental Approach of Machine Learning Algorithms to Detect Botnet DDoS Attacks
Abstract: Botnets are one of the threats in a network to hamper the quality of the network by disrupting theresources of the network. These Botnets can be controlled remotely by Botmaster. The Machine Learning Algorithms play a major role to detect and control the Botnets that cause to DDoS attacks, malwares and phishing attacks that are vulnerable to network resources. The DDoS attacks are most dangerous malware events that disrupt whole …
Published in Journal Of Network security · Vol. 10, Issue 3, 2022 · pp. 7–14 Read article
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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
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Predict the Severity of Diabetes Cases, Using K-Means and Decision Tree Approach
Abstract: In recent years, diabetes has emerged as one of the most prevalent infections, and its prevalence is rapidly increasing globally. Type 2 diabetes is common throughout the world. For the management and prophylaxis of diabetes, early detection is crucial. Machine Learning (ML) approaches are rapidly gaining importance in the field of diagnostic purposes due to their ability to classify data. In this article, a mixed recommended technique is presented to …
Published in Journal of Advances in Shell Programming · Vol. 9, Issue 2, 2022 · pp. 24–31 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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Evaluation of the antioxidants potential and total phenolic contents of the Albbizia siris a drug plant
Abstract: Free radicals are the major problems of the world today. They are formed endogenously as well as exogenously by different kinds of metabolic processes in the body. Some of them are highly toxic process causing considerable damage to the system and produce several kindsof disorders. Antioxidants are the substance which reduces the formation of free radicals inthe body and are responsible for degradation of free radical and reactive oxygen species …
Published in Research and Reviews: A Journal of Toxicology · Vol. 9, Issue 1, 2019 · pp. 21–25 Read article
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Graph Sampling by Spanning Tree under Stratified Setup
Abstract: The sampling theory and its methodologies are based on assumption that the population under survey is of individuals and respondents have provided the answer of questions asked. When population is of graphical structure like containing nodes and edge links then it is complicated to apply the usual sampling procedures. Spanning tree is specified type of a graph, which is always connected with all nodes and becomes a sub-graph. Assume that …
Published in Research & Reviews : Journal of Statistics · Vol. 5, Issue 2, 2016 · pp. 11–31 Read article
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Credit Card Fraud Detection Using Machine Learning Techniques
Abstract: Credit card fraud has become a significant concern in today's digital economy, with billions of dollars being lost annually to fraudulent transactions. Conventional rule-based approaches frequently prove inadequate in addressing the constantly changing strategies employed by fraudsters. Machine learning methods have emerged as robust solutions for detecting credit card fraud, presenting the capability to accurately identify fraudulent transactions promptly. In this study, we investigate the efficiency of three widely used …
Published in Journal of Open Source Developments · Vol. 11, Issue 1, 2024 · pp. 1–7 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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Fast All Sum Algorithms on mesh of trees and Multi-Mesh of Trees architecture
Abstract: The Network encapsulates the properties of Mesh of Trees and Multi-Mesh Network, forming a Multi Mesh of Trees network architecture and, hence yielding a lot of topological benefits. Several parallel algorithms have been successfully mapped on this architecture to solve various problems. In this paper, we propose an algorithm which may play a very important role in computations ranging from finding a sum to a high degree of calculations required …
Published in Current Trends in Information Technology · Vol. 10, Issue 2, 2020 · pp. 6–11 Read article
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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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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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Various Approaches of Privacy Preserving in Data Mining: A Review
Abstract: AbstractData mining devices aspire to find valuable examples from vast measure of data. These patterns constitute information and are conveyed in selection trees, clusters or association rules. The information determined by the means of numerous data mining strategies can also comprise of private records approximately human beings or business. Preservation of privacy is a big thing of data mining and as a consequence has a look of attaining a few …
Published in Journal of Advanced Database Management & Systems · Vol. 4, Issue 2, 2017 · pp. 1–8 Read article
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RTL-to-GDSII Flow Optimization for Low-Power 32-bit RISC-V Processor
Abstract: This paper presents the implementation and optimization of a 32-bit RISC-V processor, transitioning from Register Transfer Level (RTL) design to final GDSII using Synopsys Fusion Compiler over 32nm technology node. The processor architecture is based on the RV32I base instruction set and incorporates a 5-stage pipeline to achieve a balanced trade-off between performance and design complexity. The design methodology involved RTL synthesis, gate-level netlist generation, and successive physical design stages …
Published in Journal of VLSI Design Tools and Technology · Vol. 15, Issue 3, 2025 · pp. 1–10 Read article
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Autism Spectrum Disorder Prediction Using Classification Techniques: A Comparative Analysis
Abstract: Autism spectrum disorder (ASD) is a multifaceted neurodevelopmental disorder marked by difficulties in social interaction, communication, and repetitive behaviors. Identifying and addressing ASD early is essential for enhancing the quality of life for those affected. Data mining techniques have emerged as powerful tools in analyzing large datasets to predict and diagnose ASD, aiding in early identification and intervention. This article presents a comprehensive comparative analysis of classification techniques employed in …
Published in Journal of Computer Technology & Applications · Vol. 15, Issue 3, 2024 · pp. 66–71 Read article
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Gradient Boosted Regression Tree Approach to Predicting Toxic Interactions on X and YouTube
Abstract: In the digital age, social media platforms play a vital role in facilitating user engagement, encompassing both positive interactions and avenues for negative, often harmful behaviors. Recognizing and addressing toxic exchanges is paramount to nurturing healthy online communities and preserving users’ well-being. This study introduces a novel method for identifying toxic interactions by utilizing Gradient Boosting Regression Trees (GBRT) algorithm, a machine learning approach renowned for its exceptional accuracy and …
Published in Trends in Opto-electro & Optical Communication · Vol. 15, Issue 3, 2025 · pp. 7–14 Read article