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1962 articles for “E.M. algorithm” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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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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AI Enhanced E-Voting System Securing Elections with Face Recognition and OTP Authentication in India
Abstract: The E-Voting domain seeks to leverage technology to address these issues, enabling citizens to vote securely and conveniently while maintaining the transparency of the electoral process. Machine learning algorithms like Haar cascade and CNN will enhance the system's security, accuracy, and efficiency by leveraging data- driven approaches. Conventional voting techniques frequently encounter obstacles including identity theft, convoluted processes, and hold-ups in the processing of results. This article suggests a complex …
Published in Current Trends in Signal Processing · Vol. 14, Issue 3, 2024 · pp. 21–30 Read article
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Design of Tool Allocation Positions on Magazines Using Optimization Algorithm
Abstract: In today’s manufacturing environment, several industries are accomplishing flexible manufacturing systems (FMS) of group technology in cellular manufacturing to meet the competitive market requirements.CNC machines are widely used in FMS due to their high flexibility in processing. Generation of optimal index positions of cutting tools index position is an important task to overcome then on-machining time of CNC machines and for achievement of optimal plans.The present work proposes an application …
Published in Trends in Machine design · Vol. 2, Issue 3, 2015 · pp. 20–29 Read article
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Comparison of Tuning Methods of PID Controllers of Two Conical Tank System of Interacting Type
Abstract: The rapid increasing complexity of modern control systems has accentuated the idea of applying new modern approaches in order to solve design problems for various control engineering applications. This paper deals with the tuning of PID controllers for complex nonlinear process of two interacting Conical Tank Systems. Conical tanks play vital role in leaching extractions in pharmaceutical and chemical industries, as well as in food processing industry. It is a …
Published in Journal of Control & Instrumentation · Vol. 5, Issue 3, 2014 · pp. 8–14 Read article
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Optimize Throughput by Estimating Optimal Packet Length for Wireless Sensor Node
Abstract: AbstractA Wireless Sensor Network (WSN) is employed for monitoring and control of distributed sensing points with the use of Sensor Nodes (SN). The sensor nodes form a wireless network to disseminate the sensed data over to the base station for its processing and analysis. For a wireless network, effective and efficient communication of data from the sensor node to base station plays a vital role in estimating the life of …
Published in Journal of Communication Engineering & Systems · Vol. 9, Issue 2, 2019 · pp. 37–45 Read article
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Optimized Hardware Realization of AES for High-Throughput FPGA Platforms
Abstract: The Advanced Encryption Standard (AES) is the predominant symmetric-key cryptographic algorithm used for securing digital communication across embedded systems, IoT devices, cloud infrastructures, and defense networks. Although software-based AES implementations offer flexibility, they often fail to meet the high-speed, low-latency, and energy-efficient requirements of modern real-time applications. Reconfigurable hardware platforms such as Field-Programmable Gate Arrays (FPGAs) provide a powerful alternative by enabling architectural customization, intrinsic parallelism, and optimized hardware acceleration. …
Published in International Journal of VLSI Circuit Design & Technology · Vol. 3, Issue 2, 2025 · pp. 11–22 Read article
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Land Use Land Cover Change Detection and Forecasting for Tiruchirappalli City Using Remote Sensing and GIS
Abstract: Normal 0 false false false EN-IN X-NONE X-NONE Land use Land cover (LU/LC) change has taken place in Tiruchirappalli city in Tamil Nadu, India over the past two decades due to induced industrialization and urbanization. In this paper, LU/LC change dynamics were studied by the combined use of remote sensing, geographical information system (GIS) and stochastic modelling technologies. The different land use categories and their spatial and temporal variability in …
Published in Journal of Remote Sensing & GIS · Vol. 3, Issue 1, 2012 · pp. 21–32 Read article
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Optimizing Economic Load Dispatch in a 10-Unit System Using the SSA Method
Abstract: The optimization of economic load dispatch (ELD) in a 10-unit power system employing the social spider algorithm (SSA) method is reported. ELD is a critical aspect of power system operation, aiming to allocate the power generation among multiple units efficiently while meeting the demand at the lowest possible cost. The SSA method, inspired by the collaborative behavior of social spiders, demonstrates its efficacy in solving optimization problems. In this research, …
Published in Trends in Electrical Engineering · Vol. 14, Issue 3, 2024 · pp. 1–13 Read article
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Blind Image Quality Assessment using NSS Approach in the DCT Domain
Abstract: We have develop an efficient model for improving image quality using IQA and NSS based on blind image Quality Assessment.This algorithm does computation for the parameters which user expect at output. The certain extracted features approach depends on a simple Bayesian inference model to dipict image quality scores. The project features are based on statistic scenes of discrete cosine transform for images. The resultant parameters of the model are used …
Published in Recent Trends in Electronics Communication Systems · Vol. 8, Issue 3, 2021 · pp. 1–6 Read article
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Machine Learning Based Sentiment Analysis of Student Feedback in Higher Education
Abstract: Educational institutions routinely collect feedback from students to understand their perceptions of academic programs, infrastructure, and campus facilities, to improve the overall quality of the college environment. In current practice, feedback is often gathered using numerical or grade-based rating systems, which tend to oversimplify student opinions and may overlook important details related to their level of satisfaction. In contrast, open-ended textual feedback allows students to clearly express their views, concerns, …
Published in International Journal of Data Structure Studies · Vol. 4, Issue 1, 2026 · pp. 01–10 Read article
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Using Elliot Wave Theory and Fibonacci Retracement and in Algorithmic Trading
Abstract: The analysis technique used in predicting stock prices consists of Fundamental analysis and Technical analysis. These analyses are complex in nature and usually unreliable. The algorithmic trading systems offered today consists of primitive technical analysis techniques such as, simple moving averages, exponential moving average, moving averages convergence and diversions and volume weighted average price. The primitive nature of this techniques makes them very unreliable and has a low success rate. …
Published in Trends in Machine design · Vol. 7, Issue 3, 2020 · pp. 22–29 Read article
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Advancements in K-Means Clustering: Boosting Algorithm Performance through Innovations
Abstract: K-Means clustering is a widely used unsupervised learning algorithm for partitioning a dataset into distinct clusters. Despite its popularity and simplicity, K-Means has several limitations, such as sensitivity to initial centroids, convergence to local minima, and inefficiency with large datasets. This paper reviews recent advancements aimed at addressing these challenges and enhancing the performance of the K-Means algorithm. Innovations include improved initialization methods, such as K-Means++, which significantly reduce the …
Published in International Journal of Solid State Innovations & Research · Vol. 3, Issue 1, 2025 · pp. 30–37 Read article
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Deployment of Fi-Wi Networks Using Teaching Learning Based Optimization Algorithm
Abstract: AbstractThe demand of bandwidth and mobility to end users is ever increasing. For fulfilling this, fiber-wireless (Fi-Wi) networks are designed by integrating the advantages of optical and wireless networks. Optical networks offer high bandwidth and stability while wireless networks offer cost efficiency and mobility. With these advantages, Fi-Wi networks also offer some challenging issues. There are four key issues in Fi-Wi networks, that are ONU placement, routing, energy saving and …
Published in Journal of Communication Engineering & Systems · Vol. 7, Issue 2, 2017 · pp. 14–26 Read article
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Assessing Soil Nutrients Through IoT for Enhanced Farming and Agricultural Intelligence
Abstract: Soil fertility is of paramount importance in agriculture, as it directly impacts the capacity of plants to flourish and develop. Recent advancements in technology, such as soil sensors and Arduino, offer effective means to assess soil nutrients. Key nutrients for agriculture, including nitrogen, phosphorus, and potassium (NPK), are vital for plant development and are considered primary contributors to soil fertility. Monitoring these nutrients enables farmers to gauge the specific needs …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 12, Issue 1, 2024 · pp. 1–9 Read article
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Breast Cancer Detection Using Machine Learning: A Comparative Analysis of Supervised Learning Algorithms
Abstract: Globally, breast cancer remains a predominant cause of mortality among women, highlighting the urgent need for timely and precise diagnostic approaches. This research explores the application of machine learning algorithms—including Logistic Regression, SVM, Naïve Bayes, KNN, and Random Forest—on the Wisconsin Breast Cancer Dataset for effective tumor classification. Key pre-processing steps such as missing value handling, feature scaling, and dimensionality reduction were employed to improve model performance. The study evaluated …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 12, Issue 3, 2025 · pp. 46–52 Read article
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Investigating Internet user Behaviour on Proxy Server Log File Using Web Usage Mining
Abstract: Nowadays, each and all activities have been becoming unimaginable to do without internet. When a web user requests a specific page, an entry is made in a special file known as the server log file. Some organizations use a proxy server for caching services and administrative control. In order to provide the client computer with oblique network services, a proxy server sits in between the client internet and the client's …
Published in Journal of Web Engineering & Technology · Vol. 9, Issue 2, 2022 · pp. 32–45 Read article
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OS 2.0: Revolutionizing Operating System Architecture for Quantum Computing
Abstract: Quantum computing promises unprecedented processing power by harnessing quantum mechanical phenomena. However, existing operating systems are inadequate for the unique demands of quantum computers. This research proposes OS 2.0, a new operating system architecture tailored for quantum computing. A comprehensive literature review identifies key requirements like managing quantum entanglement and error correction. Evaluation of current operating systems reveals performance limits, lagging fault tolerance, and inability to control quantum interference effects. …
Published in Journal of Operating Systems Development & Trends · Vol. 10, Issue 3, 2023 · pp. 1–6 Read article
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A Comparative Study on Evolutionary Algorithms to perform Isogeometric Topology Optimisation of Continuum Structures using Parallel Computing
Abstract: The optimization of computational performance along with the topology optimization of structures is the main focus of this study. The computational performance of the program is enhanced using two search engines in parallel. The search process is done using a least pop size which has reduced the number of computations required to optimize the objective function. The geometry can be exactly represented using isogeometric basis functions where the same basis …
Published in Journal of Aerospace Engineering & Technology · Vol. 8, Issue 1, 2018 · pp. 51–58 Read article
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Machine Learning-Assisted Design and Optimization of Lightweight Polymer Composites for IoT-Enabled Automotive Applications
Abstract: This study aims to develop an integrated machine learning and optimization framework for the intelligent design of lightweight polymer composites suited for IoT-enabled automotive applications. The goal is to enhance material performance while satisfying multiple design constraints such as mechanical strength, thermal stability, and process compatibility. A curated dataset of polymer composite formulations was used to train a Random Forest Regression (RFR) model capable of predicting tensile strength, thermal conductivity, …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 12–27 Read article
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Exploring the Development of AI Models Using Open-Source Tools to Predict Patient Outcomes and Optimize Treatment Plans
Abstract: Integrating artificial intelligence (AI) into healthcare offers a transformative opportunity to enhance patient care and clinical decision-making. Through the use of predictive analytics, AI can significantly enhance the accuracy of outcome predictions and assist in developing personalized treatment plans that cater to each patient’s specific needs. This paper delves into the development of AI models using open-source tools, which are increasingly favored for their accessibility, collaborative nature, and capacity for …
Published in Journal of Open Source Developments · Vol. 11, Issue 3, 2024 · pp. 37–49 Read article