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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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Electromagnetic Transients in Compensated Power Lines- Revisited: New Approach and Case Studies
Abstract: This paper addresses the simulation of the electromagnetic transients developed in high voltage power lines, which are initiated by lightning discharges. The analysis can handle both individual and simultaneous series inductive and shunt capacitive compensation types. The sizes and locations of the compensating elements are included in the analysis. The derived Laplace s-domain mathematical model applies the concept of the ABCD transmission constants representing equivalent two-port networks. The resulting currents …
Published in International Journal of Electrical and Communication Engineering Technology · Vol. 2, Issue 1, 2024 · pp. 19–26 Read article
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Comparative Study of Machine Learning Algorithms for Detection of Breast Cancer
Abstract: Breast cancer continues to be the most commonly diagnosed cancer among women, with more than 2.3 million new cases diagnosed yearly worldwide. It is stated as the leading cause of cancer-related deaths. Therefore, this emphasizes the dire necessity for early diagnosis with a view to improving survival. Early diagnosis elevates the effectiveness of prediction and treatment. This research carries out a structured and analytical evaluation of various machine learning algorithms, …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 2, 2025 · pp. 113–129 Read article
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Improvised Diffie Hellman Key Exchange Protocol
Abstract: Protecting exchange of data over an insecure network is very crucial to maintain confidentiality. Diffie- Hellman protocol is a fundamental key exchange method and has proved to be a secure mechanism to securely exchange the cryptographic keys. Ralph Markel developed this idea, which has got its name from Whitfield Diffie and Martin Hellman. In this protocol, the recipient and transmitter generate a standard secret key and then start talking to …
Published in Journal of Communication Engineering & Systems · Vol. 11, Issue 3, 2021 · pp. 21–27 Read article
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Automated Detection of Polycystic Ovarian Syndrome using Neural Network Algorithm
Abstract: The ovarian ultrasound imaging could be a good tool in infertility treatment. Monitoring the follicles is extremely important in human reproduction. Periodic measurements of the scale and shape of follicles over several days are the primary means of evaluation by doctors. Today monitoring the follicles is finished by non-automatic means with human interaction. This work could also be very demanding and inaccurate and, in most of the cases, means only …
Published in Recent Trends in Parallel Computing · Vol. 7, Issue 2, 2020 · pp. 9–13 Read article
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Genetic Algorithm Based Simulation for IEEE-30 Bus System Multi-Objective Power Flow Design
Abstract: In order to control and orchestrate profitable power structures, OPF algorithms are a critical area of research. Perfect Power Flow is utilised to keep objective work to a minimum. This goal restriction might be a single goal or a set of goals. In this work, we used a perfect energy stream to reduce the cost of fuel while meeting constraints such as generator tension and electrical yields, which are used …
Published in Journal of Electronic Design Technology · Vol. 12, Issue 3, 2021 · pp. 9–15 Read article
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A Machine Learning-based Analysis of Climate Change
Abstract: Climatic variations are a pressing global challenge that demands immediate and comprehensive attention. A wealth of articles has been published on climate change mitigation and adaptation, yet there remains a need for innovative methods to explore the complexities of climatic variations and to devise more efficient and effective strategies for adjustment and alleviation. With technological advancements, machine learning (ML) and deep learning (DL) approaches have derived significant popularity across various …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 13, Issue 2, 2024 · pp. 1–10 Read article
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An Analysis of Graph Database in Data Modelling and Analysis for a Recommendation System
Abstract: This research work focuses on graph databases, mainly Neo4j databases, in recommendation systems for e-commerce websites. The importance of research is that it explains how graph databases efficiently handle the complex relationship between user-items, which is difficult for traditional databases. Sparsity, limited diversity, and high setup costs are the challenges traditional databases face. This research work overcomes these problems using Ne04j with Cypher query language and graph algorithms (PageRank, Shortest …
Published in Journal of Advanced Database Management & Systems · Vol. 12, Issue 3, 2025 · pp. 33–39 Read article
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Mechatronics Robot Navigation using Machine Learning through Prolog Programming Language
Abstract: A basic decision-making system is developed in this paper using Neural Network in Machine learningto explore a robot in concealed condition. The robot can move out of explicit labyrinths effectivelythrough modifying its bearing and speed persistently via the neural system model for machinelearning. Over the past several years, navigation tasks for mobile robots have been widely studied.There have been many attempts to introduce the usage of machine learning algorithms. Excellentperformance …
Published in Journal of Mechatronics and Automation · Vol. 8, Issue 1, 2021 · pp. 39–47 Read article
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Intelligent Document Scanner
Abstract: AbstractThere is an irresistible trend in the present world for scanning the paper documents and convert it into a digitalized format. Most of these scanning treat the whole document as an entire image. In this scenario, we propose a novel “Intelligent Document Scanner” which automatically segment and classify the contents of the image document including texts, tables and images and store it as a PDF document with three sections that …
Published in Journal of Computer Technology & Applications · Vol. 7, Issue 2, 2016 · pp. 47–57 Read article
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Optimized Design and Control of Oil Exploitation Strategies: An Assisted Approach
Abstract: Because there are so many factors and scenarios to consider, optimizing oil exploitation tactics requires complicated decision-making. Conventional approaches frequently concentrate on particular elements of the design infrastructure, which restricts their capacity to fully handle the process. In order to maximize a set of oil exploitation variables in a hierarchical fashion, this research proposes a novel assisted optimization technique that combines mathematical algorithms with engineering analysis. By grouping variables into …
Published in Journal of Petroleum Engineering & Technology · Vol. 15, Issue 1, 2025 · pp. 29–34 Read article
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Cloud Cryptography Algorithms
Abstract: Nowadays the information is being produced increasingly more by means of the enterprises and is being elevated swiftly that want will be saved and used e.g., e-mails, facts, photograph album, tax document, financial transaction, and so on. Now statistics owners are required to store their nearby facts organization on the cloud for its elasticity with financial savings. This not simplest gives flexibility to users but additionally makes our content material …
Published in Research and Reviews : Journal of Computational Biology · Vol. 12, Issue 4, 2023 · pp. 13–21 Read article
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Cloud Cryptography Algorithms
Abstract: Nowadays the information is being produced increasingly more by means of the enterprises and is being elevated swiftly that want will be saved and used e.g., e-mails, facts, photograph album, tax document, financial transaction, and so on. Now statistics owners are required to store their nearby facts organization on the cloud for its elasticity with financial savings. This not simplest gives flexibility to users but additionally makes our content material …
Published in Research and Reviews : Journal of Computational Biology · Vol. 11, Issue 1, 2022 · pp. 13–21 Read article
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Analysis of Disease and Risk Prediction using ML
Abstract: This paper comprises of efficient machine learning algorithms used in predicting diseases through symptoms. As, the health industry has a huge amount of data for various fields, so we want to make a system where we can use various other applications of machine learning on health industry. This all had been done to make better medical decisions and also for rise in the accuracy. As an accurate analysis and early …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 7, Issue 1, 2020 · pp. 7–13 Read article
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Redefining Road Safety: A Comprehensive Literature Review on Computer Vision for Speed Breaker Detection in Vehicle
Abstract: This literature review focuses on the use of computer vision techniques for detecting speed breakers on roads, with the objective of improving road safety. Speed breakers play a crucial role in controlling vehicle speeds and ensuring pedestrian safety, but their sudden appearance can lead to accidents, discomfort, and damage to vehicles. The review highlights five key points derived from the analysis of existing literature. Firstly, various computer vision algorithms, including …
Published in Journal of Computer Technology & Applications · Vol. 14, Issue 1, 2023 · pp. 52–63 Read article
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Harmony Search Algorithm For PAPR Reduction
Abstract: Normal 0 false false false EN-US X-NONE X-NONE Orthogonal frequency division multiplexing (OFDM) is just about the finest technology used not long ago within connection CPA networks. It offers a number of rewards which include excessive spectral effectiveness, improved funnel convenience of the actual given electrical power finances and the likes. Not-withstanding these kinds of rewards, OFDM owns particular negatives likewise, such as inter-block disturbance (IBI), inter-carrier disturbance (ICI) along …
Published in Recent Trends in Electronics Communication Systems · Vol. 3, Issue 1, 2016 · pp. 29–34 Read article
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A Survey on Different Clustering Algorithms with Their Major Features
Abstract: Data mining techniques make it possible to search large amounts of data for characteristic rules and patterns. Clustering is used to organize data for efficient retrieval. The aim is to create homogeneous subgroups of examples. The individuals in the same subgroup are similar; the individuals in different subgroups are as different as possible. One of the problems in clustering is the identification of clusters in given data. A popular technique …
Published in Journal of Web Engineering & Technology · Vol. 1, Issue 3, 2014 · pp. 19–24 Read article
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Secure Image Backup System
Abstract: The primary reason for developing a backup system is to save files that are important. This is done so that in case if system crashes due to any reason such as hard drive failure or natural calamities, the files can be retrieved later easily. Security is one of the essential/crucial factors when it comes to data, as this data might contain confidential as well as important information. Hence, the backup …
Published in Journal of Communication Engineering & Systems · Vol. 12, Issue 1, 2022 · pp. 1–6 Read article
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AI-Powered Defense: Advancing Cybersecurity Through Artificial Intelligence Innovations
Abstract: In the current landscape of escalating cyber threats and increasingly sophisticated attack vectors, integrating artificial intelligence (AI) within cybersecurity strategies has become a critical step forward. This study explores the role of AI in strengthening cybersecurity by utilizing its strengths in data analysis, pattern recognition, and predictive modeling. Through AI, organizations can greatly enhance their ability to detect and respond to threats. Machine learning algorithms enable ongoing adaptation to new …
Published in International Journal of Information Security Engineering · Vol. 4, Issue 1, 2026 · pp. 35–41 Read article
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Comparative Analysis of Perturb & Observe and Incremental & Conductance MPPT Algorithms
Abstract: AbstractMaximum power point tracking (MPPT) technique implemented on a Photo-Voltaic (PV) system is meant for increasing its efficiency. In literature may research work claims MPPT technique as one of the most efficient way in enhancing output power generated. The output electrical parameters (V-I curve) of PV (photovoltaic) system depends on the irradiance, temperature, configuration, environmental conditions and analogy of a PV system. MPPT regulates the system at the reference voltage …
Published in Journal of Electronic Design Technology · Vol. 9, Issue 2, 2018 · pp. 7–13 Read article
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Virtual Job Assistance
Abstract: In today’s competitive job market, interviews are a critical gateway to employment, but many candidates struggle with effective preparation. Traditional methods, such as mock interviews with friends or career counselors, often fail to provide detailed feedback or replicate real-world interview dynamics. The “AI-Powered Virtual Job Interview Simulator” addresses these challenges by leveraging advanced technologies, such as Natural Language Processing (NLP), to create a realistic and engaging environment for interview practice. …
Published in Journal of Mechatronics and Automation · Vol. 12, Issue 3, 2025 · pp. 1–11 Read article