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116 articles for “tree fin”
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Soft Computing Based Prediction of Deviator Stress of Waste Plastic Reinforced Sand
Abstract: In the recent past, the soft computing techniques have received a significant attention for solution of the geotechnical stability problems. Following the trend, the present study tries to explore the use of different soft computing techniques such as random forest regression, support vector machines (SVM) RBF kernel, SVM poly kernel and M5P model tree for the prediction of deviator stress of sand reinforced with waste plastic strips. The deviator stress …
Published in Journal of Geotechnical Engineering · Vol. 6, Issue 3, 2019 · pp. 1–7 Read article
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Implementation of Energy-efficient Axial Fans for Air Handling Unit Using AI Model
Abstract: This research explores the integration of energy-efficient axial fans in Air Handling Units (AHUs) within a large automotive manufacturing facility to enhance HVAC (heating, ventilation, and air conditioning) performance and reduce energy consumption. Standard AHUs in the facility’s clean rooms and other spaces utilize traditional blower fans, which primarily rely on static pressure, limiting their efficiency. By replacing these with electronically commutated (EC) axial flow fans, which leverage both static …
Published in Journal of Refrigeration, Air conditioning, Heating and ventilation · Vol. 11, Issue 3, 2024 · pp. 28–34 Read article
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Determination of A More Efficient Method of Grafting Mangoes and Optimum Growth Environment for A Successful Graft Union
Abstract: AbstractMangoes (Mangifera indica) have traditionally been propagated through seeds but this process takes many years for trees to start bearing fruits (7–10 years). Grafting is used to shorten the juvenile period in which mangoes start bearing between as early as 1 to 3 years. Farmers believe that after grafting, grafted plants need to be placed in greenhouse for successful union of the graft and growth of the sprouts. Authors know …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 2, Issue 1, 2013 · pp. 1–6 Read article
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Heat Stress Mitigation in Resource-Constrained Dairy Farming Systems: Practical Strategies for Sustainable Development
Abstract: Heat stress poses a critical threat to dairy production, particularly in resource-constrained systems prevalent across tropical and subtropical regions. Elevated ambient temperatures, compounded by high humidity, directly impair feed intake, milk yield, reproductive efficiency, and overall animal welfare. In low-resource settings, conventional cooling technologies such as automated fans, sprinklers, and climate-controlled housing remain economically inaccessible. Therefore, cost-effective, locally adaptable, and sustainable solutions are essential for maintaining productivity and animal health. …
Published in International Journal of Climate Conditions · Vol. 2, Issue 2, 2025 · pp. 1–12 Read article
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Optimization of gas sensitivity of CuO/carbon composites with carbon particles synthesized from acacia auriculiformis branches
Abstract: Carbon particles fabricated from the core of acacia tree branches were utilized to synthesize CuO/carbon composite films. The gas sensing properties of these films grown on glass substrates using the doctor blade method were measured in 1000 ppm of methanol vapor at the room temperature. All the films were annealed at 75 0C for 1 hour in air. The structure, the optical band gap and the surface morphology of the …
Published in International Journal of Membranes · Vol. 1, Issue 1, 2024 · pp. 22–30 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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A Comparison Study of Different Classification Algorithm on Brain Tumor Segmentation
Abstract: A brain tumor is a tissue mass caused by aberrant cell proliferation in the brain. It is a collection of tissues that causes hormonal alterations and eventually death. In order to save human lives, brain tumors prognosis and prevention is a difficult task. The use of modern medical image processing approaches has made the identification of brain tumors more flexible in recent years. Due to the absence of ionizing radiations, …
Published in Trends in Opto-electro & Optical Communication · Vol. 11, Issue 3, 2021 · pp. 1–7 Read article
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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
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Low-cost Feed Resources for Sustainable Dairying: Exploring Conventional, Agro-Industrial, and Non-Conventional Feeds to Optimize Nutritional Adequacy
Abstract: This study explores the potential of cost-effective feed resources to enhance the sustainability of dairy farming by focusing on conventional, agro-industrial, and non-conventional feed alternatives. Rising feed costs remain a significant challenge =124ed5y7u-8 n dairy production, and optimizing feed efficiency is crucial for maintaining profitability and sustainability. Conventional feed resources, including roughages and pastures, provide the foundation for dairy cow diets, yet their nutritional content varies seasonally and geographically. Agro-industrial …
Published in Research & Reviews : Journal of Ecology · Vol. 14, Issue 2, 2025 · pp. 11–27 Read article
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The association between emotional intelligence and job satisfaction among secondary school teachers employed by particular high schools of Bagalkot
Abstract: Background: The success of an individual hinges on several personal factors. In this age of globalization, where culture, science, economy and society are exchanged globally, emotional intelligence seems to be the missing currency. A person’s ability to handle emotions with wisdom is referred to as emotional intelligence. Those with emotional intelligence are guaranteed a positive simultaneity domestically, socially and professionally. Such individuals are better capable of managing their emotions and …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 14, Issue 2, 2024 · pp. 13–20 Read article
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Analyzing and Predicting Academic Behavior from Peer Pressure Indicators Using Machine Learning
Abstract: The academic achievement of a student is determined by their capability, but also by the companions with whom they associate. Friends can have a positive impact on students' motivation for school, and at times friends are distractions leading to a lack of attention on their school assignments. This particular study focuses on the number and quality of companions students associate with and to what extent that could be used as …
Published in International Journal of Education Sciences · Vol. 3, Issue 2, 2026 · pp. 1–7 Read article
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Data Mining Techniques Used in Prediction of Heart Diseases
Abstract: AbstractHeart disease is a big life minatory ailment that cause to demise. It has deep long-term incompetence. There is a huge amount of data available within our system. Nevertheless, we are unable to find hidden relationship and prosperity in data. KDD (knowledge discovery in database) process, data mining consists of various techniques to convert these mounds of data into useful decision-making information. Data mining takes less time for the prediction …
Published in Journal of Advanced Database Management & Systems · Vol. 6, Issue 3, 2019 · pp. 9–11 Read article
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Soil Organic Carbon Stocks in Different Land Uses at Puthupet, Tamil Nadu, India
Abstract: AbstractSoil organic carbon (SOC) stocks were assessed in different land uses i.e., Cocos nucifera, Anacardium occidentale, Mangifera indica, Casuarina equisetifolia plantations, wasteland and natural forest at Puthupet, Tamil Nadu, India using Walkley and Black’s method. The soil bulk density was found to increase significantly (P< 0.05) with the increase in soil depth in all the sites except natural forest. Highest bulk density was recorded in wasteland and the least was …
Published in Research & Reviews : Journal of Ecology · Vol. 4, Issue 3, 2015 · pp. 6–14 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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Prediction of Customer Churn Using Machine Learning Classification Models
Abstract: Customer churn prediction is a critical task in both the telecommunication and medical industries, where retaining customers or patients is essential for ensuring long-term profitability and maintaining high-quality service. To address this, a range of machine learning models—including logistic regression, decision trees, random forests, gradient boosting machines, and support vector machines—were employed to accurately forecast churn behavior. Prior to model training, the dataset underwent thorough preprocessing, which included handling missing …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 2, 2025 · pp. 86–92 Read article
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Comparative Study of Data Mining Tools
Abstract: Data mining is a process which finds useful patterns from large amount of data for an appropriate application. It is a well-built technology with great potential to help companies whose focus is on important information in huge databases. It uses machine learning, statistical and visualization technique to discover and predict knowledge in a form which is easily understandable to the user. Classification is important technique of data mining which employs …
Published in Journal of Advanced Database Management & Systems · Vol. 2, Issue 2, 2015 · pp. 35–41 Read article
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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
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Fire Risk Assessment and Safety Improvement Strategies in Industrial Facilities: A Comprehensive Review
Abstract: Fire incidents in industrial facilities continue to pose significant threats to human life, infrastructure, production continuity, and the environment despite continuous advancements in industrial safety practices. The increasing complexity of manufacturing processes, the widespread use of flammable materials, and the integration of automated systems have intensified the need for systematic fire risk assessment and effective safety management. This review paper examines the major sources of fire hazards in industrial environments, …
Published in Journal of Industrial Safety Engineering · Vol. 13, Issue 2, 2026 · pp. 36–47 Read article
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A Novel Approach for Enhancing Direct Hashing and Pruning for Association Rule Mining
Abstract: ABSTRACTData Mining has been considered as a promising field in the intersection of databases, artificial intelligence and machine learning. Association rule mining has been one of the most popular data mining subjects, which can be simply defined as finding interesting rules from large collections of data. This paper introduces an enhanced hashing approach in discovering associations for largeitemsets. The proposed hashing approach scans the entire database only once using the …
Published in Journal of Computer Technology & Applications · Vol. 3, Issue 1, 2012 · pp. 1–8 Read article
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The Assessment of Electric Vehicle Fire Risk Using the Failure Tree Analysis
Abstract: With the global shift toward sustainable transportation, the widespread adoption of electric vehicles (EVs) is rapidly becoming a reality, largely driven by growing environmental awareness and concerns over climate change. However, alongside this transition comes a set of emerging challenges, most notably, the increasing incidence of EV-related fire hazards, which have attracted significant public and media scrutiny. This situation highlights the urgent need for a detailed and systematic approach to …
Published in Journal of Industrial Safety Engineering · Vol. 12, Issue 2, 2025 · pp. 27–38 Read article