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1998 articles for “E.M. algorithm” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Enhanced Association Rule Mining Algorithm (EARMA) for Reducing Computational Time on Large Data Set
Abstract: Association rule learning is a trendy process for discovering exciting relationships between variables in big database. It is frequently used in market basket analysis field e.g. if a buyer buys onions and potatoes then he also purchases beef. But, in fact, it can be implemented in different application area where we want to determine the association among variables. The APRIORI method is definitely the trendiest. But, even with its good …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 3, Issue 2, 2016 · pp. 20–25 Read article
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A New Effective MUSIC Algorithm for Direction of Arrival Estimation and Combining It with Beam Forming in Smart Antenna Systems
Abstract: ABSTRACT Smart antenna is now commonly used in communication systems due to its high advantages. Two important functions in smart antenna are direction of arrival estimation and beam forming. The main aim of direction of arrival estimation in smart antenna is to estimate the direction of the signal and based on this angle the beam forming will identify the exact position and phase angle of the antenna. Here we proposed …
Published in Journal of Communication Engineering & Systems · Vol. 2, Issue 2, 2012 · pp. 1–6 Read article
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Stream Cipher Based Modified Espresso Algorithm for 5G Communication
Abstract: AbstractTo meet the requirement of 5G communication, Dubrova and Hell design Espresso, which is a stream cipher. Espresso uses 128-bit key, 96-bit initial vector (IV) and a 6-degree Boolean function as its output function. Jia-Min and Wen-Feng showed that algebraic attack is possible with time complexity being O(2(66.86)). In this paper, we present a methodology for the modification of Espresso with reformed Galois configuration of 256-bit Nonlinear Feedback Shift Registers …
Published in Journal of Computer Technology & Applications · Vol. 10, Issue 1, 2019 · pp. 32–40 Read article
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Genetic Algorithms Molecular Effect Model Optimization for High-temperature Superconductors Tin and Thallium Classes
Abstract: Genetic algorithms software was applied in 3D Graphical and Interior Optimization methods for two high-temperature Superconductors (HTSCs) classes. Namely, Tin (Sn) class with (TC>0°), and Thallium (Tl) one subject to (TC˂0°, TC>0°) in Molecular Effect Model (MEM). Results include mathematical Tikhonov Regularization Functionals algorithms for this group of HTSCs without using logarithmic changes. Results also show the contrasts between these two classes for Molecular Effect Model (MEM) hypothesis. Solutions show …
Published in Recent Trends in Programming languages · Vol. 9, Issue 3, 2022 · pp. 1–16 Read article
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Speeding Up Human Operability and Multi-Tasking Through Mobile Evolutionary Algorithm for Evasive Interactive GUIs of Semantic Desktop Application
Abstract: In this paper, we introduced an algorithm for new optimized method of interacting with Graphical User Interfaces (GUIs) which adds swiftness and evolve with the human operability thus, reducing the number of parameters from the edified Multi-task work process. We validate our algorithm based on the accountable general consensus and confidence data extracted through a number of user's work experience on our interactive GUIs; demonstrating that our algorithm adapts with …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 1, Issue 2, 2014 · pp. 8–11 Read article
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Optimizing Data Processing Efficiency in Big Data: Advanced MapReduce Algorithm Innovations
Abstract: The exponential growth of big data in recent years has created an urgent need for innovative and efficient processing frameworks capable of managing and analyzing massive and complex datasets. Among these, MapReduce has gained prominence as a powerful tool for distributed data processing due to its simplicity and scalability. However, traditional MapReduce frameworks often encounter significant limitations in terms of efficiency, scalability, and resource optimization, particularly when handling large-scale and …
Published in International Journal of Data Structure Studies · Vol. 3, Issue 1, 2025 · pp. 1–7 Read article
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Empowering Machine Learning: Unraveling Algorithms, Real-world Use Cases, and Evolving Research Trends
Abstract: Machine learning has brought about a revolutionary transformation across numerous industries, offering automated solutions to intricate problems. This article aims to delve into the realm of machine learning algorithms, exploring their real-world applications and the evolving research directions in this rapidly advancing field. The paper presents a comprehensive overview of popular machine learning algorithms, encompassing supervised learning, unsupervised learning, and reinforcement learning, while elucidating the underlying principles that govern them. …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 10, Issue 2, 2023 · pp. 70–79 Read article
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An Overview of the Design and Optimization of Antennas Employing Machine Learning Algorithms and Methodologies
Abstract: This paper offers a comprehensive exploration of the integration of machine learning (ML) techniques in antenna design and optimization, reflecting the burgeoning interest and potential impact of ML in emerging technologies. The first segment conducts a detailed literature survey, elucidating conventional computational electromagnetic and numerical methods preceding an in-depth discussion on the core facets of ML, encompassing diverse learning categories and frameworks. Additionally, it provides a mathematical exposition on regression …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 10, Issue 3, 2023 · pp. 1–12 Read article
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Cogeneration of Fast Motion Estimation Processor and Algorithms Using Loss Less Compression
Abstract: Flexible and scalable motion estimation processor for the h.264 advanced video coding standard handling the processing requirements for high-definition video and suitable for Field-Programmable Gate Array (FPGA) implementation. The new motion estimation algorithm of kalman filter used to reduce the computational complexity. The eight custom instruction sets are used in the motion estimation. All processor instances are remaining binary compatible so recompilation process is not required. The motion estimation algorithm …
Published in Journal of VLSI Design Tools and Technology · Vol. 3, Issue 2, 2013 · pp. 1–5 Read article
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Predicting the Computer Access Needs of Employee Using Data Mining Algorithms
Abstract: Every business relies on data to better organize and access the information to improve their business operations and to identify opportunities for improvement. A better framework improves the ability to valuable products and better services to their customers. The wide swaths of data that every organization gathers requires a proper methodology to gain knowledge about the latest trends in the market. Data mining is the process that analyses the data …
Published in Journal of Advances in Shell Programming · Vol. 10, Issue 1, 2023 · pp. 12–16 Read article
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Mean based Load Adaptation Algorithms (MLAA) for Energy Saving in FiWi Access Networks
Abstract: AbstractFiber Wireless (FiWi) network has been evolving as a promising broadband access network. It provides high data rate, flexibility and stability to the users. Exponential growth in broadband access networks has opened many research challenges. Energy conservation is one of them. In FiWi network, among all the components, optical network unit (ONU) consumes most of the power of the network. Hence, to keep ONU in low power state while ensuring …
Published in Trends in Opto-electro & Optical Communication · Vol. 6, Issue 3, 2016 · pp. 23–32 Read article
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Competitive Programming and Its Importance in the Present World
Abstract: Competitive programming has become a vital skill set for both computer science students and professionals, fostering problem-solving abilities, algorithmic thinking, and time management in a highly competitive environment. This paper provides a comprehensive overview of competitive programming, beginning with its core principles and progressing through advanced strategies used by participants to solve complex problems efficiently. In addition to explaining fundamental concepts, the paper explores key algorithms and data structures frequently …
Published in Recent Trends in Parallel Computing · Vol. 11, Issue 3, 2024 · pp. 39–50 Read article
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Eye Disease Classification Using K-means Clustering Algorithm and Ensemble Classification Approach
Abstract: In this study, we present a comprehensive approach for the classification of eye diseases, specifically targeting normal, cataract, glaucoma, and diabetic retinopathy conditions. This research uses a dataset from Kaggle, which provides a wide and varied collection of retinal images to ensure good representation. The methodology encompasses advanced image processing and machine learning techniques to ensure accurate diagnosis and prediction. The preprocessing phase involves a series of image enhancement techniques …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 3, Issue 2, 2025 · pp. 15–27 Read article
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Integration of RSA and Waterfall Framework: Aggrandize Security in Cloud Computing using Integration of Rivest–Shamir–Adleman (Encryption Algorithm) and Waterfall Model
Abstract: Eccentric consumer and associations benefit from cloud computing services, which allow continuous and longtime online storage of files. The problem arises when organization store highly privileged documents in cloud servers. Therefore, this paper targets a backbone structure for a cloud storage system, where the security and single user privacy is highly maximized. It is very obvious that the cloud computing servers are highly protected against unauthorized access, but in some …
Published in Journal of Microcontroller Engineering and Applications · Vol. 4, Issue 3, 2017 · pp. 1–8 Read article
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Design Optimization of Microstrip Antenna with EBG and DGS Using the Genetic Algorithm to Reduce the Mutual Coupling
Abstract: The purpose of this paper is to construct, create, and reproduction of different antenna structures using electromagnetic band gap (EBG) materials and defected ground structures (DGS). Microstrip antennas are processed in order to improve performance by changing the shape of the geometry of the antenna, in particular to reduce the mutual coupling between the elements. The propagation of electromagnetic waves in a specified frequency range have the unique ability to …
Published in Journal of Microwave Engineering and Technologies · Vol. 3, Issue 1, 2016 · pp. 11–30 Read article
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Integrating Genetic Algorithms with Lean Manufacturing for Enhanced Production Efficiency
Abstract: Lean manufacturing is a well-established philosophy focusing on the systematic reduction of waste and the ongoing development of value supplied to the customer. It emphasizes efficiency, quality, and adaptability through ideas such as just-in-time production, continuous improvement (Kaizen), and value stream optimization. However, the increased complexity of modern production systems, driven by global rivalry, product variety, and rapid technology innovation, has shown the limitations of classic lean tools in achieving …
Published in Journal of Production Research & Management · Vol. 15, Issue 3, 2025 · pp. 38–43 Read article
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Deep Learning Algorithms for Medical Image Encryption to Ensure Secure Data Transfer
Abstract: Deep learning has significantly impacted various fields, including medical imaging, by offering new ways to encrypt medical images for secure data transfer. This research work examines how deep learning algorithms are used to enhance medical image security during transmission. Given the high sensitivity and privacy requirements of medical data, it’s crucial to maintain its confidentiality. Traditional encryption techniques, while reliable, often struggle with issues like scalability, computational efficiency, and the …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 11, Issue 3, 2024 · pp. 28–36 Read article
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Evolution of Kinematic and Dynamic Design in Robotic Mechanisms: A Systematic Overview
Abstract: The field of robotics has experienced significant advancements in both kinematic and dynamic design, driven by the growing need for precision, adaptability, and autonomy in mechanical systems. Early robotic mechanisms were predominantly rigid and operated based on simple serial architectures, offering limited degrees of freedom and relying heavily on analytical formulations for motion planning and control. Over time, the demand for greater dexterity and operational versatility led to the development …
Published in Trends in Machine design · Vol. 12, Issue 2, 2025 · pp. 38–43 Read article
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Rainwater Measuring Algorithm in O(1) Time Complexity
Abstract: The Rain Terraces Time Complexity Data Structure Algorithm (RTTCDSA) introduces a novel method for managing temporal data efficiently, inspired by the natural flow of rainwater on terraced landscapes. This study presents the conceptual framework and implementation details of RTTCDSA, which leverages principles of temporal dynamics and landscape morphology to organize and query temporal data with optimal time complexity. RTTCDSA employs a hierarchical structure akin to terraced landscapes, facilitating rapid traversal …
Published in International Journal of Data Structure Studies · Vol. 2, Issue 1, 2024 · pp. 26–32 Read article
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Edge Split Mapping Parallel Algorithm for Tetrahedral Mesh Refinement on Distributed Memory Systems
Abstract: In this paper we have described a parallel mesh refining algorithm based on edge split mapping parallel algorithm for on a distributed memory system; that aids the user in auto-managing the assignment of processor workload and subdivision of the 3d-mesh. We discussed the design and performance of the algorithm which speeds up the processing of the instructions over a multi-core processor.Keywords: Parallel algorithm, Distributed memory, Mesh Refinement
Published in Recent Trends in Parallel Computing · Vol. 1, Issue 2, 2014 · pp. 15–18 Read article