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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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Password Protected Image Encryption and Decryption using Hybrid Technique for Data Security
Abstract: Abstract: Data security and data anti-corruption are some areas of cryptography which is under continuous research and development. In this paper, a password based protection scheme has been included in order to increase the level of security of data. Here a hybrid technique for data security has been proposed and compared with its non-hybrid counterparts which resulted in the hybrid technique giving better results for various parameters of study like …
Published in Current Trends in Signal Processing · Vol. 9, Issue 1, 2019 · pp. 17–25 Read article
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Voltage Stability Study based on New Evolutionary Algorithm
Abstract: This paper describes a PSO optimization algorithm for voltage stability study and its enhancement based on proximity and mechanism analysis. This theorem is implemented based on Gershgorin’s Circle Theorem. The control variables responsible for enhancing the voltage stability limit are generator bus voltages at PV buses, the taps of On-Load –Tap-Changing Transformer. (OLTC), change in reactive power etc. The objective function of proposed algorithm is to maximize the minimal diagonal …
Published in Trends in Electrical Engineering · Vol. 7, Issue 2, 2017 · pp. 21–31 Read article
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Fractional Homotopy Analysis Transform Method for a Fin Having Temperature Dependent Internal Heat Generation
Abstract: Fractional Homotopy Analysis Transform Method (FHATM) is a new analytical tool for solving homogeneous and non-homogeneous fin equations. FHATM is a novel and innovative modification in Laplace Transform Algorithm (LTA) thus making analysis easier. Non-linear problems are solved by proposed technique without using Adomian and He’s polynomial which is a clear benefit of this new algorithm over decomposition and homotopy perturbation transform methods. This is an elementary technique which gives …
Published in Journal of Experimental & Applied Mechanics · Vol. 10, Issue 1, 2019 · pp. 23–34 Read article
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A Survey Paper on Smart Path Algorithm for Ant Colony Optimization
Abstract: Apart from the tremendous research being executed, ad hoc networks is the huge issue for various researchers. Ad hoc network routing is particularly most challenging issue because of its power energy, dynamic nature and inadequate bandwidth. Someway, techniques which are based on the SI for example algorithms of ACO have presented to be a perfect method for developing algorithms of ad hoc networks routing. ACO routing is an effective routing …
Published in E-Commerce for Future & Trends · Vol. 3, Issue 1, 2016 · pp. 1–9 Read article
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Predicting Multiple Diseases Using Machine Learning: A Data-Driven Approach
Abstract: The increasing prevalence of chronic and life-threatening diseases highlights the need for innovative healthcare solutions that enable early detection and proactive management. The Multiple Disease Prediction Platform is a web-based system utilizing machine learning (ML) and deep learning (DL) algorithms to analyze user-inputted health data, generating real-time predictions of potential health risks. By leveraging Python’s Streamlit library, the platform provides an interactive and accessible diagnostic experience, eliminating the need for …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 2, 2025 · pp. 16–35 Read article
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Ant Colony Optimization in Cloud for Load Balancing
Abstract: There is an increase in the demand of cloud these days, as more and more people are looking for virtual storage of data rather than investing in physical storage. Cloud has many advantages like it focuses on maximizing the effectiveness of the shared resources. Cloud resources are shared by multiple users and these resources are dynamically allocated as per the demand. One of the major issues faced by cloud computing …
Published in Recent Trends in Parallel Computing · Vol. 1, Issue 1, 2014 · pp. 6–10 Read article
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Design and Development of a Low-Cost Quadruped Robot for Educational Robotics Applications
Abstract: The locomotion of the quadruped robots resembles that of four-legged animals and can be used on surfaces that wheeled robots cannot navigate. The paper is a design and development report on a low-cost quadruped robot that has been designed to be used in educational and experimental robotics. The robot is a lightweight and modular robotic system consisting of a combination of mechanical design, embedded control, and wireless communication. The actuation …
Published in International Journal of Manufacturing and Production Engineering · Vol. 4, Issue 1, 2026 · pp. 20–26 Read article
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IntelliGaurd WebScan: Uncovering Dark Patterns on E-Commerce Websites
Abstract: Dark patterns are deceptive design elements that influence user behavior online, frequently with unexpected results that go beyond personal experiences. These deceptive methods unintentionally encourage excessive consumption, which can seriously impede sustainability initiatives. This paper presents IntelliGuard WebScan, a system created specially to identify and combat these dishonest strategies. Employing painstaking examinations and assessment of heterogeneous datasets and rigorous experimentation with multiple algorithms, among them a support vector classifier (SVC), …
Published in E-Commerce for Future & Trends · Vol. 11, Issue 3, 2024 · pp. 24–32 Read article
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Flow shop scheduling with WWO
Abstract: This paper focuses on reviewing the method used to solve the problem of flow shop scheduling using one of the efficient nature inspired algorithm that is water wave optimization. It has been proven to be one of the most efficient method of optimization in every field and us widely used nowadays because of its methodologies and efficiency. The Water Wave Optimization can be used for various different types of flow …
Published in Recent Trends in Fluid Mechanics · Vol. 8, Issue 2, 2021 · pp. 48–53 Read article
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Innovations in Civil Engineering: Advancing Infrastructure through AI Technology
Abstract: A comprehensive exploration of the intersection of civil engineering and artificial intelligence (AI) technology, highlighting the transformative impact of AI on infrastructure development, management, and sustainability. The journal encompasses a wide array of research articles, case studies, and reviews that demonstrate the integration of AI into various facets of civil engineering, including but not limited to smart infrastructure, predictive maintenance, structural analysis, and urban planning. By showcasing cutting-edge applications and …
Published in Journal of Structural Engineering and Management · Vol. 11, Issue 2, 2024 · pp. 1–11 Read article
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Elevating Seamless Housing Navigation with Precise Recommendations for Personalized Rental Experiences
Abstract: The demand for rental housing has increased significantly in recent years, making more effective and individualized methods of housing navigation necessary. Renters become frustrated and ineffective when using traditional ways of researching rental houses since they frequently involve manual searches and little customization. By using sophisticated recommendation systems to deliver exact recommendations catered to user preferences, this research article suggests a novel way to improve house navigation. The proposed approach …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 3, 2024 · pp. 50–62 Read article
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Encryption Mechanism under Prevalent Invasion
Abstract: The digital and computerized era is fast approaching which has increased the amount of data exchanged over the internet. The information transmitted can be accessed by an unauthorized user who can manipulate the data. This fact reveals the need for security mechanisms resulting in various cryptographic algorithms having enhanced protection mechanisms which fulfill the increased demand for security in cyber-attacks and data exploitation. The main goal of these strategies is …
Published in Journal Of Network security · Vol. 9, Issue 2, 2021 · pp. 28–34 Read article
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A Review on Various Shadow Detection and Removal Techniques for Image Enhancement
Abstract: AbstractShadow is a dark area created when light from a light source is blocked by an opaque object. The presence of shadow has been responsible for reducing the reliability of many computer vision applications including segmentation, object detection, scene analysis etc. Shadows degrade the quality of image and it may affect information provided by the image. Therefore, shadow detection and removal is an important pre-processing to restore the information of …
Published in Journal of Open Source Developments · Vol. 4, Issue 3, 2017 · pp. 14–19 Read article
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Data Compression for Backbone Network
Abstract: This article involves the application of data compression techniques to improve the efficiency and performance of the core infrastructure of modern digital networks. This approach focuses on reducing the size of transmitted data without compromising its quality, aiming to enhance network throughput, reduce latency, and minimize energy consumption. The study also considers practical implementation challenges and trade-offs to optimize resource utilization in backbone networks. We delve into various compression methods, …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 11, Issue 1, 2024 · pp. 30–40 Read article
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Data Mining Made Simple by A priori Algorithm for Market Analysis
Abstract: Data mining and data warehousing are increasingly becoming popular among IT professionals, academics and researchers from different disciplines. Business enterprises, small, medium or large scale, are considering the deployment of a warehouse as a major step and as a matter of pride. Data mining or knowledge discovery in data bases combines the techniques from mathematics, statistics, algorithms and artificial intelligence to extract the knowledge. Data mining is a main phase …
Published in Current Trends in Information Technology · Vol. 3, Issue 3, 2013 · pp. 1–4 Read article
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Blind Image Quality Assessment: An Overview
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 relies on a simple Bayesian inference model to predict image quality scores. The project features are based on statistic scenes of discrete cosine transform for images. The estimated parameters of the model are …
Published in Journal of Electronic Design Technology · Vol. 12, Issue 3, 2021 · pp. 1–3 Read article
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Scaling of Machine Learning Techniques in Medical Imagining and Biomedical Applications Concerning Healthcare
Abstract: Machine learning refers to a field within computer science enabling computers to learn without explicit programming. Stemming from artificial intelligence's study of pattern recognition and computational learning theory, machine learning develops algorithms capable of learning from vast datasets and making predictions. Its applications span diverse computing tasks like email filtering, network intrusion detection, optical character recognition, and computer vision, where conventional algorithm design proves challenging. Notably, in computer vision, a …
Published in Journal of Computer Technology & Applications · Vol. 15, Issue 1, 2024 · pp. 41–44 Read article
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A CON: EVO Reduction Technique for Uncertain Interval Systems Using Differential Evolution Algorithm
Abstract: In this paper advantage of evolutionary technique is used in combination with a reliable conventionaltechnique to reduce the dimension of high order uncertain linear interval systems into low order intervalsystems. The proposed technique is depicted by a name CON: EVO, which stands for combination ofconventional & evolutionary technique. In evolutionary method recently proposed Differential Evolution(DE) optimization technique is used with and without powerful conventional Routh approximation techniqueto minimize the integral …
Published in Journal of Control & Instrumentation · Vol. 1, Issue 1-2-3, 2011 · pp. 1–11 Read article
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Optimization of Production Scheduling using Multi-Tasking by Multi-Population Genetic Algorithm
Abstract: Production scheduling is an important activity for manufacturing and engineering, where it can have a major impact on the productivity of a production system. Traditional in-house manufacturing involves production machines with dedicated operators. Here, multitasking technique is used to optimize the production scheduling problem. In parallel machine scheduling, there are n jobs and m machines and each job needs to be executed on one of the machines during a fixed …
Published in Journal of Production Research & Management · Vol. 5, Issue 1, 2015 · pp. 18–26 Read article
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Examining the Effects of MIST in RSA and CRT-RSA to Resist Power Analysis Attacks
Abstract: The need of security has turned into a vital area of research in domain of computer science. The evolution of side channel attacks has challenged the vulnerability of almost all the symmetric and asymmetric cryptographic techniques available worldwide. This has raised the urgency in designing mitigation techniques against such volatile attacks. Power analysis attacks, which is the most popular side channel attacks has proved to be a challenge for most …
Published in Journal Of Network security · Vol. 4, Issue 3, 2016 · pp. 11–22 Read article