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1055 articles for “Computing Techniques”
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Evaluation of Best Watershed Management Practice for Sediment Yield Reduction (The Case Study of Baro Akobo of Upper Gilo Watershed, Ethiopia)
Abstract: This study aimed to estimate the sediment yield, evaluating its distribution, and compare the selected Best Management Practices (BMPs) and identify relatively effective management practices to alleviate soil erosion and sedimentation yield in the Upper Gillo watershed. Soil and Water Assessment Tool (SWAT) model with the interface of Geographical Information System (GIS) were used to simulate, streamflow and sediment yield. Meteorological, hydrological and spatial data were used while modeling the …
Published in Journal of Water Resource Engineering and Management · Vol. 8, Issue 2, 2021 · pp. 1–17 Read article
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Clustering Hierarchy Technique for Energy-Efficient Wireless Sensor Networks
Abstract: WSNs are popular due to advancement of technology in field sensors and wireless communication network sub sequence of their miniaturization. It has number of applications for the remote and hazardous environment where lifetime of a sensing unit and energy consumption are main factors. As nodes are battery operated, optimization of energy for better and maximum lifetime is the main issue. This paper has proposed the clustering based hierarchical type of …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 2, Issue 1, 2015 · pp. 24–29 Read article
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A Technical Survey on Different Clustering Techniques & Fuzzy Logic in Wireless Sensor Network
Abstract: Abstract—The WSN is a distinctive network and WSN includes sensors at enormous scale as well as comprises at least single base station. When building wireless sensor networks, there are critical issues that are appeared such as preserving energy and load balancing. Lifetime of a sensor network is improved by implementing andmitigating energy consumption. Amount of a choice of parameters such as quantity of nodes, strength and range of area as …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 4, Issue 3, 2017 · pp. 1–8 Read article
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Tropical Change LULC Forestry Data Assessment to Classify Accuracy and Kappa Statistics
Abstract: Forests can be categorized as tropical evergreen, feedstock forests, and so forth. In other classes, the goal of this mission is to compute regions of various woodland kinds in India using photograph processing techniques. This information is very beneficial for organizations such as woodland and environmental protection departments to recognize if the wooded area areas are growing or no longer and therefore take the necessary steps. In order to calculate …
Published in Journal of Open Source Developments · Vol. 7, Issue 1, 2020 · pp. 19–23 Read article
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A Study on K-Nearest Neighbor Techniques with Other Techniques
Abstract: AbstractThe closest neighbor (NN) system is basic, exceptionally proficient and feasible in the field of example acknowledgment, content arrangement, object acknowledgment and so forth. Its straightforwardness is its primary preferred position; however, the impediments cannot be overlooked even. The memory necessity and calculation unpredictability are moreover matters. Numerous methods are created to defeat these restrictions. NN procedures are comprehensively ordered into structure less and structure-based procedures. In this paper, we …
Published in Journal of Open Source Developments · Vol. 7, Issue 3, 2020 · pp. 7–11 Read article
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Detection and Prevention Techniques of Wormhole Attack- A Survey
Abstract: Mobile Ad hoc network is a network made up of wireless mobile nodes without infrastructure. Easy deployment and self configuration are the MANET features used in many applications. Therefore MANET gains a lot of interest of many researchers in the past few years. The Wormhole attack at the network layer is the most attention seeking attack in ad hoc networks. This attack is hard to detect and easy to implement. …
Published in Recent Trends in Parallel Computing · Vol. 2, Issue 2, 2015 · pp. 1–8 Read article
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Unleashing the Power of Mathematics in Natural Language Processing: Sentiment Analysis Perspectives
Abstract: Sentiment analysis (SA), which utilizes natural language processing (NLP), computational linguistics, text analysis, image processing, and video processing to extract and analyze subjective information from the internet, social media, and other sources, is becoming increasingly popular in both the business world and the scientific community. It is even possible to model it so that it focuses on polarity, sentiments and emotions, urgency, and even goals. It is able to distinguish …
Published in Recent Trends in Programming languages · Vol. 10, Issue 2, 2023 · pp. 1–9 Read article
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Design and Optimization of Heat Dissipation Systems for Electric Vehicle Battery Packs: A Study on Advanced Cooling Techniques
Abstract: In order to guarantee battery safety, performance, and longevity, the increasing popularity of electric vehicles (EVs) has increased the demand for efficient heat management systems. With an emphasis on cutting-edge cooling methods, this study explores the design and optimization of heat dissipation systems for EV battery packs. The study compares cutting-edge techniques like phase change materials, micro channel heat sinks, and thermoelectric cooling systems with more conventional cooling techniques like …
Published in Journal of Automobile Engineering and Applications · Vol. 12, Issue 1, 2025 · pp. 1–10 Read article
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Optimization of Biohybrid Polymer Synthesis Using Fuzzy Inference Systems
Abstract: This investigation proposes a methodology to optimize biohybrid polymer synthesis using fuzzy inference systems (FIS). The study combines fuzzy logic principles with mathematical calculations for finding the best synthesis parameters to enhance the synthesis quality. This study consists on a sample about the use of FIS on optimisation of polymer synthesis, where they show the process of fuzzification, rule base creation, inference mechanism and defuzzification using the centroid method through …
Published in Journal of Polymer & Composites · Vol. 12, Issue 5, 2024 · pp. 36–47 Read article
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Spintronic Logic Device Modeling and Energy Optimization for Beyond-CMOS Computing Systems
Abstract: The continuous scaling limitations of conventional CMOS technology have accelerated the exploration of alternative computing paradigms for next-generation low-power and high-performance systems. Spintronic logic devices have emerged as a promising solution due to their non-volatility, ultra-low switching energy, high integration density, and compatibility with beyond-CMOS architectures. This research presents a comprehensive modeling and energy optimization framework for spintronic logic devices applied in beyond- CMOS computing systems. The proposed work investigates …
Published in International Journal of VLSI Circuit Design & Technology · Vol. 4, Issue 1, 2026 Read article
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A Hybrid Mathematical Model for Epidemic Outbreak Forecasting Using Machine Learning and Cloud Computing
Abstract: The increasing frequency of infectious disease outbreaks has emphasized the necessity for intelligent epidemic surveillance systems capable of predicting disease spread at an early stage. Conventional outbreak detection approaches rely heavily on delayed statistical reporting and manual monitoring techniques, resulting in reduced responsiveness during critical periods. This paper presents a mathematical predictive framework for epidemic outbreak detection using machine learning and cloud computing technologies. The proposed framework integrates the Susceptible–Infected–Recovered …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 13, Issue 2, 2026 · pp. 01–06 Read article
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A Survey on Big Data Storage Issues in Cloud Computing Environment
Abstract: AbstractBig data is the collection of large set of data which holds many intelligence and raw information. In the digital world, handling and updating large volume of data in the real-time environment is a challenging task. This paper presents a compressive discussion on analytical techniques and processing methods for analysing the applications of big data with the purpose of constructing valuable information in cloud computing environment. This research aims to …
Published in Journal of Advanced Database Management & Systems · Vol. 4, Issue 3, 2017 · pp. 1–5 Read article
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Topology and Geometry in Data Science: Persistent Homology and Beyond
Abstract: In recent years, the interplay between topology, geometry, and data science has gained substantial momentum, offering powerful frameworks to analyze and interpret complex datasets. Traditional statistical and machine learning methods often rely on linear or metric- based assumptions, which may fail to capture the intrinsic structure of high-dimensional or nonlinear data. In contrast, topological and geometric methods provide shape-oriented, scale- invariant tools that focus on the continuity, connectivity, and global …
Published in Recent Trends in Mathematics · Vol. 1, Issue 2, 2024 · pp. 21–27 Read article
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Intrusion Detection Systems: A Review
Abstract: In this paper, we present an overview of existing intrusion detection techniques. All these algorithms are described more or less on their own. Intrusion detection system is a very popular and computationally expensive task. We also explain the fundamentals of intrusion detection system. We describe today’s approaches for intrusion detection system. From the broad variety of efficient techniques that have been developed we will compare the most important ones. We …
Published in Journal of Advances in Shell Programming · Vol. 2, Issue 1, 2015 · pp. 11–13 Read article
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A Review on Audio Watermarking Techniques
Abstract: The quick development of web and applications utilizing advanced interactive media innovations has put stress on the need to give copyright security to sight and sound data. A computerized watermark can be depicted as an obvious or ideally imperceptible recognizable proof code that is forever installed in the information. So it can stay displayed inside the spread media after any unravelling methodology. The conceivable arrangement of above issue is distinctive …
Published in Journal of Open Source Developments · Vol. 1, Issue 2, 2014 · pp. 1–5 Read article
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Representative Feature Selection for Efficient Clustering
Abstract: AbstractClustering is one of the widely used data mining techniques. In machine learning, it is an unsupervised learning method that needs training data to be used. The problem with clustering is that it is computationally expensive and takes more time for grouping high-dimensional data. Therefore it is necessary to reduce number of features in the high-dimensional data in order to make the search space reduced. Many techniques came into existance …
Published in Journal Of Network security · Vol. 5, Issue 2, 2017 · pp. 19–27 Read article
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Empowering Healthcare Through IoMT: Unveiling the Architecture, Protocols, and Applications
Abstract: The "Internet of Things" (IoT) is the infrastructure of web-connected devices that automatically gather and transport data through a remote network. Due to the rapid growth of IoT-based gadgets and their expansion towards making medical care facilities financially smart, proactive, and customizable, the "Internet of Medical Things (IoMT)" is presumed proactive in all areas of healthcare. Using cutting-edge technology, the IoMT-based healthcare system offers rapid and reliable treatment, increased communication, …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 10, Issue 2, 2023 · pp. 10–23 Read article
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A Survey on Ultra Low Power Design Techniques for IOT Application
Abstract: AbstractInternet of Things (IOT) is evolving as technology’s megatrend, unlocking new opportunities and questions for the semiconductor industry. IOT sensing and actuation devices essentially should be low cost and also should deliver a complete System on Chip (SOC) solution capable of computation, security and wireless communication at very low power levels. The sub-threshold operation, Radio Frequency (RF) redesign, and extreme optimization techniques can minimize power consumption of IOT devices. This …
Published in Current Trends in Information Technology · Vol. 7, Issue 3, 2017 · pp. 9–16 Read article
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MAC Unit Implementation on FPGA
Abstract: Multiply–accumulate (MAC) computations account for a large part of machine learning accelerator operations. The pipelined structure is usually adopted to improve the performance by reducing the length of critical paths. An increase in the number of flip-flops due to pipelining, however, generally results in significant area and power increase. Using this method, we create and build a cutset-free feedforward MAC architecture that maximizes data propagation and removes superfluous pipeline registers. …
Published in Journal of Microcontroller Engineering and Applications · Vol. 13, Issue 1, 2026 · pp. 29–37 Read article
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Recent Advances in Face Recognition Techniques: A Survey
Abstract: Face recognition has been a challenge for applications with real time implementation. Though significant advances have already been made in the past decade but it’s affectivity against the uncontrolled environments like partial occlusion, illumination problem and pose estimation have fallen drastically. The previous studies used various methods and soft computing tools for a learning based approach towards overcoming the enlisted challenges. Thus, in this paper we investigate the principal techniques …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 2, Issue 1, 2015 · pp. 19–24 Read article