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117 articles for “tree fin”
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CFD Analysis of Tree Shaped Fin Array on Flat and Symmetrical Wedge Shaped Base Plate
Abstract: Heat generated from electronic chips is usually siphoned off by placing a heat sink. Due to the poor heat transfer capability of air extended surfaces are used as heat sink. Constant research is being carried out on the selection of geometry and material of extended surface for effective heat transfer. In the present work CFD analysis (ANSYS 14) is done on Tree fin array using FLUENT on a flat shaped …
Published in Journal of Thermal Engineering and Applications · Vol. 1, Issue 1, 2014 · pp. 1–6 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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Risk Management in Civil Engineering by FTA, FMEA and Risk Matrix
Abstract: Infrastructure projects, particularly in civil engineering, are fraught with uncertainties that manifest as both physical and financial risks. The project report, titled Quantifying and Managing Financial and Physical Risks in Infrastructure Projects, aims to bridge the existing gap between managing these two critical categories of risks. By integrating advanced statistical methodologies such as Failure Mode and Effects Analysis (FMEA), Fault Tree Analysis (FTA), Risk Matrix, and Regression Analysis, this study …
Published in Journal of Structural Engineering and Management · Vol. 12, Issue 1, 2025 · pp. 34–46 Read article
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A Comparative Pharmacognostical and Pharmaceutical Study of Haritaki (Treesa) and Gomutra Haritaki w.s.r to Pancha Mahabhuta Composition
Abstract: Haritaki is considered as king of the medicine. It is described as prime ingredient in many formulations with different indications. Among them, Gomutra Haritaki is processed form of Haritaki which has additional qualities over Haritaki. Maintaining quality standard is must in the era of increasing demand for traditional medicines. The present study was aimed to compare pharmacognostical and pharmaceutical profile of Gomutra Haritaki with Haritaki (Treesa) alone. Haritaki (Treesa) and …
Published in Research & Reviews: A Journal of Pharmacognosy · Vol. 2, Issue 3, 2015 · pp. 1–10 Read article
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Applying the XML-based Technique to Support Keyword Search in Graph Data
Abstract: Graphs have been important and proper structures to represent data with complex relationships in the Web, and keyword search provides a convenient way to querying graphs. Some researchers considered to return r-cliques as answers for keyword search in graph databases. Such concepts can retrieve meaningful information effectively, but the existing approach is computationally expensive. In this paper, we propose to utilize the efficient technique originally designed for keyword search in …
Published in Journal of Advanced Database Management & Systems · Vol. 1, Issue 2, 2014 · pp. 25–32 Read article
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Implementing FP-Growth Algorithm using Map Reduce for Mining Association Rules
Abstract: Abstract: In mining frequent itemsets, one of most important algorithms is FP-growth. FP-growth proposes an algorithm to compress information needed for mining frequent itemsets in FP-tree and recursively constructs FP-trees to find all frequent itemsets. Map Reduce is a distributed processing framework where the application is divided into many fragments of work, each of which may be executed on any node on a cluster. The main objective of this paper …
Published in Journal of Advanced Database Management & Systems · Vol. 6, Issue 2, 2019 · pp. 18–29 Read article
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Text Mining Algorithms in Social Media
Abstract: AbstractSocial networks are wealthy in different sorts of substance, for example, texts and multimedia. The capacity to apply text mining calculations viably with regards to content information is basic for a wide assortment of uses. Interpersonal organizations require text mining calculations for a wide assortment of uses, for example, watchword search, characterization, and bunching. While search and characterization are notable applications for a wide assortment of situations, interpersonal organizations have …
Published in Journal of Communication Engineering & Systems · Vol. 10, Issue 3, 2020 · pp. 26–29 Read article
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Predicting Client Behavior for Bank Marketing Using Multi-Layer Perceptron Model
Abstract: AbstractThese days machine learning is one of the most widely used approaches in every industry. And among many techniques of machine learning, classification is the most used one. In this paper, various classification models are used to draw some conclusion for many input variables and one output variable of banking data and classify the output variable into two classes. Various statistics are shown which are generated during classification. The work …
Published in Journal of Advancements in Robotics · Vol. 4, Issue 2, 2017 · pp. 5–8 Read article
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Tree Diversity of Parimal Garden, Ahmedabad, Gujarat, India
Abstract: ABSTRACTThe Parimal Garden is situated in Ambavadi area in western part of Ahmedabad city, Gujarat state of India. Its legal name is “Pari Trikamlal Bhogilal Municipal Recreation Park.” This garden was established in the year 1960 and is located at 23 o 01’ 11” N, 72 o 33’ 21” E and at 155 ft above sea level. The nearest wellknown places are Gujarat College, Ambavadi Circle, Panchvati, etc. This garden …
Published in Research & Reviews : Journal of Botany · Vol. 1, Issue 3, 2012 · pp. 18–20 Read article
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Tweets Classification using Different Classifiers for Sentiment Analysis
Abstract: Twitter is a famous platform for social networking where people share and engage with "tweets" comments. It is a way of expressing people's opinions or emotions on various topics. Different parties, like producers and consumers, have carried out a sentiment analysis on tweets to gain insights into goods or to analyze the sector. Also, the accuracy of our sentiment analysis forecasts will increase with the recent advances in machine learning …
Published in Research & Reviews : Journal of Statistics · Vol. 10, Issue 3, 2021 · pp. 34–43 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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Cloud-driven Fraud Detection: Evaluating Decision Tree and Random Forest Classifiers for Credit Card Transaction Security
Abstract: With the alarming rise in global financial fraud, necessitating substantial annual losses, modern techniques for fraud detection are continuously evolving across various business domains. Fraud detection involves constant monitoring of user activities to estimate, perceive, or prevent undesirable behaviour. Cloud Computing emerges as a promising solution, accelerating application deployment, fostering creativity and innovation, reducing costs, and enhancing overall business acumen. This study introduces a cloud-driven approach to fraud detection, specifically …
Published in Recent Trends in Parallel Computing · Vol. 11, Issue 1, 2024 · pp. 13–27 Read article
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A Steady on Quality Update in New Austrian Tunneling Method (NATM) Technology for Safe Underground Shortest Path in Road Transportation Networks
Abstract: Metro train project is a combination of many related engineering fields as civil engineering, computer engineering, mechanical engineering and electrical engineering etc. But here, we discus about civil engineering and computer engineering related project report. Firstly we start from railway track/road. A railway track network can be considered as a graph (a graph is an ordered pair G=(V, E) comprising a set V of vertices or nodes or points together …
Published in Journal of Open Source Developments · Vol. 3, Issue 2, 2016 · pp. 20–26 Read article
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Making World as More Green and Healthy using Data Mining Techniques
Abstract: AbstractTrees are vital. As the biggest plants on the planet, they give us oxygen, store carbon, stabilize the soil and give life to the world's wildlife. A study from 2017 reveals the information that more than 150 acres lost every minute of every day, and 78 million acres lost every year, yet there is no proper technical solution to identify the places of deforestation and to plant trees on those …
Published in Journal of Computer Technology & Applications · Vol. 10, Issue 1, 2019 · pp. 17–22 Read article
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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
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Design of Slew Aware Clock Distribution Network for Ultra Low Power Sub-threshold Applications
Abstract: Clock distribution network consumes significant amount of power due to its high switching activity. The high power consumption issue can be satisfactorily addressed by the sub-threshold operation of device, however at the cost of degraded performance and magnified variability. This paper investigates the suitability of conventional clock distribution network for sub-threshold regime and proposes a novel strategy of having an optimized uniform H-tree with a pair of buffer only at …
Published in Journal of VLSI Design Tools and Technology · Vol. 9, Issue 1, 2019 · pp. 22–37 Read article
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Assessing the Robustness of Machine Learning Models for Wireless Intrusion Detection Under Adversarial Traffic Perturbations
Abstract: As the Internet of Things (IoT) devices and wireless communication networks continue to grow rapidly, protecting systems from cyber threats has become increasingly important. Machine learning–based intrusion detection systems (IDS) have shown strong potential in detecting abnormal and malicious network activities, yet their effectiveness and resilience when facing adversarial attacks are still not sufficiently explored. This research evaluates Machine Learning (ML) models–XGBoost, random forest, and multi-layer perceptron (MLP)—in detecting attacks …
Published in International Journal of Wireless Security and Networks · Vol. 4, Issue 1, 2026 · pp. 29–34 Read article
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Decomposition of Dynamic Graphs in Memory Saving with Effective Programming
Abstract: This study proposes a simple and effective heuristic to save memory in effective programming on tree decompositions when solving a graph optimization problem. The introduced “anchor technique” is based on a tree-like set covering problem. We substantiated our findings by experimental results. Our strategy has negligible computational overhead concerning running time but achieves memory savings for nice tree decompositions and path decompositions between 60% and 98%.
Published in Recent Trends in Programming languages · Vol. 1, Issue 3, 2014 · pp. 7–12 Read article
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Customer Churn Prediction Using ML Algorithms
Abstract: Comprehending customer churn is essential for businesses aiming to enhance and sustain customer relationships. This study introduces a machine learning approach aimed at forecasting customer churn by leveraging demographic and behavioral data. Our research involved developing predictive models using support vector machines (SVM), random forests, and decision trees, evaluating their efficacy using real-world data from the telecom industry. Our findings underscore that random forests consistently outperform SVM and decision trees …
Published in Journal of Computer Technology & Applications · Vol. 15, Issue 2, 2024 · pp. 70–75 Read article
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Evaluation of Credit Risk of Bank Customers with a Hybrid Approach of Data Mining Techniques
Abstract: Credit risk poses the most significant threat to financial and monetary institutions. Banks strive to offer loans that generate high returns while minimizing risk. Achieving this requires the ability to accurately identify and classify credit customers, both individuals and legal entities, according to their likelihood of fully meeting their obligations. This classification is done using relevant financial and non-financial criteria. The primary goal of this study is to assess the …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 3, 2024 · pp. 63–81 Read article