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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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AI and Big Data for Optimized Water Resource Management in Arid Regions
Abstract: Water scarcity in arid regions is an escalating global challenge, driven by climate change, population growth, and increasing demands from urban, industrial, and agricultural sectors. Effective water resource management (WRM) is crucial for sustaining livelihoods, economic stability, and infrastructure resilience. Emerging technologies such as artificial intelligence (AI), machine learning (ML), and big data offer innovative solutions for optimizing water use, enhancing efficiency, and improving sustainability in water-scarce environments. This paper …
Published in Trends in Transport Engineering and Applications · Vol. 12, Issue 1, 2025 · pp. 1–5 Read article
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Multi Objective Optimization of Weld Bead Geometry Parameters of Pulsed Current Micro Plasma Arc Welded Inconel 625 Using Enhanced Non-dominated Sorting Genetic Algorithm
Abstract: Pulsed Current Plasma Arc Welding (PCPAW) is one of the most widely used welding processes in sheet metal manufacturing industry. In any fusion arc welding process, the weld bead geometry plays an important role in determining the mechanical properties of the weld and hence, quality of the weld. Moreover, the geometry of weld bead involves several simultaneously multiple quality characteristics such as front width, back width, front height and back …
Published in Journal of Materials & Metallurgical Engineering · Vol. 3, Issue 1, 2013 · pp. 17–24 Read article
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Improvement of Convergence Speed of Q-learning based Path Planning Algorithm
Abstract: Path planning is fundamental and important task of mobile robot. There are many attempts to adopt reinforcement learning (RL) in mobile robot path planning. RL based path planning is effective in path planning of intelligent mobile robot, especially in unknown environment because it doesn’t require environmental information and finds optimal path through trial-and-error process. Q-learning is one of RL algorithm widely used in path planning of mobile robots. The main …
Published in International Journal of Advanced Robotics and Automation Technology · Vol. 2, Issue 2, 2024 · pp. 19–28 Read article
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Enhanced Security for Autonomous Mobile Mesh Networks Using Crypto Algorithm
Abstract: Mobile ad hoc networks (MANETs) are ideal for situations where a fixed infrastructure is unavailable or infeasible. Today’s MANETs, however, may suffer from network partitioning. This limitation makes MANETs unsuitable for applications such as crisis management and battlefield communications, in which team members might need to work in groups scattered in the application terrain. In such applications, inter-group communication is crucial to the team collaboration. To address this weakness introduce …
Published in Recent Trends in Programming languages · Vol. 3, Issue 1, 2016 · pp. 17–24 Read article
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Alzheimer’s Disease Detection Using ML Algorithm
Abstract: A degenerative neurological state of affairs, Alzheimer's disease (AD) gradually impairs cognitive and functional capacities, especially in people over 65. Early AD detection is crucial for efficient management and treatment prep. This study delves into novel approaches for the early detection of AD using non-invasive methods. We've implemented a blend of neuroimaging data analysis and machine learning algorithms to pinpoint markers indicative of the disease during its initial phases. Our …
Published in Journal of Experimental & Applied Mechanics · Vol. 15, Issue 3, 2024 · pp. 53–57 Read article
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A Cuckoo Search based Approach for Solving Standard Cell Placement Problem
Abstract: The standard cell placement (SCP) is an NP complete problem in VLSI layout which focuses on placing the cells at appropriate locations so as to minimize the resultant wirelength. The standard cell placement is one of the significant phases in VLSI circuit design. Many heuristic approaches have been developed in literature to solve this problem. The paper presents an efficient nature-inspired meta-heuristic algorithm for solving the standard cell placement problem …
Published in Journal of VLSI Design Tools and Technology · Vol. 4, Issue 2, 2014 · pp. 1–7 Read article
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A Novel Software Cost Estimation Model Based on the Hybrid of Artificial Neural Network and Firefly Algorithm
Abstract: Software cost estimation is the prediction of software development effort and software development time required to develop a software project. Software cost estimation is a basic and important task for both successful execution of software development life cycle and its management interms of its cost & time. Accurate software cost estimation is considered to be a difficult task as the information about the software project to be developed at the …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 5, Issue 1, 2018 · pp. 38–45 Read article
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Signal Feature Extraction and Machine Learning Techniques for Human Activity Recognition
Abstract: Human Activity Recognition (HAR) has emerged as a critical field of study with diverse applications in healthcare, fitness tracking, smart homes, and human-computer interaction. The aim of this research is to create an efficient HAR system through advanced techniques characterized by signal feature extraction and machine learning algorithms. The MEMS sensors are used appropriately during data mining to extract time-domain, frequency-domain, and statistical features, which are subsequently passed to the …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 12, Issue 1, 2025 · pp. 24–41 Read article
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Customer Segmentation for Enhancing Customer Centric Business
Abstract: Customer segmentation is grouping customers based on similarities so companies can approach each group for marketing effectively and appropriately. Customer segmentation is important for enhancing customer centric business for gaining retention among customers by campaigning them using better marketing strategies, causing more institutional benefit. This paper segments customers by analyzing their characteristics based on both demographic and behavioral attributes using K-Means clustering algorithm and Self-Organizing Maps (SOM). K-Means is a …
Published in E-Commerce for Future & Trends · Vol. 8, Issue 1, 2021 · pp. 17–31 Read article
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Information Privacy and Security in Data Mining
Abstract: AbstractThe improving popularity and growing of data mining technologies bring very serious effect to the security of individual's sensitive information. In the recent years, the privacy preserving data mining (PPDM), has been extensively studied and it is an emerging research subject in data mining. Without accommodating the security of sensitive information contained in the data, the basic idea of PPDM is to implement the data in such a manner so …
Published in Journal of Advanced Database Management & Systems · Vol. 3, Issue 3, 2016 · pp. 30–44 Read article
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Implementation of Loss Discrimination Algorithm Using Machine Learning Approach for Wireless TCP Enhancement
Abstract: AbstractIn wired network packet losses are due to network congestion whereas in wireless network, it can be due to variable bandwidth, network topology, host mobility, network error etc. Transmission Control Protocol (TCP) is used to handle wired and wireless network. This conventional TCP consider any loss as congestion loss whatever may be the reason behind loss and to control the loss it simply reduces the congestion window size (Cw) which …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 7, Issue 3, 2020 · pp. 35–38 Read article
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Dynamic Analysis of a Switched Boost Converter Singular System using Mehtod-Rachid Algorithm
Abstract: Electronics technology is a very dynamically evolving technology as compared to any other domains. The advent of these changes is forcing us to relook at the conventional physics, and mathematical models related to switching systems in particular or singular systems in general. Mostly we always drive system characteristics assuming a singular system to be linear. Singular systems are those the dynamics of which are governed by a mixture of algebraic …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 1, Issue 3, 2014 · pp. 1–4 Read article
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A Review on Electric Spring Utilization for Smart Grid Structure in Power Generation
Abstract: The review documents contained in the literature are either completely off the non-critical load or forwarded within a convenient time frame based on the resulting satisfaction. In this study, instead of shifting critical loads to other terms, they tried to adjust the energy consumption of non-critical loads with the help of AC. A rule-based energy management algorithm is proposed, which uses electric springs to use AC microgrids.A new DC/DC converter …
Published in Journal of Semiconductor Devices and Circuits · Vol. 8, Issue 1, 2021 · pp. 37–43 Read article
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Leveraging Feature Selection Algorithms for Early Detection of Type-2 Diabetes
Abstract: Numerous feature selection algorithms have been proposed in the past to solve the curse of dimensionality problem. The choice of apt feature selection algorithm is still a fundamental area of research. Feature selection is a process of identifying and removing irrelevant features and retaining only the highest contributing feature set. Feature selection algorithms are primarily used in applications like healthcare where the classification accuracy needs to be high. This study …
Published in Journal of Computer Technology & Applications · Vol. 11, Issue 1, 2020 · pp. 13–20 Read article
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Parallelization of Metaheuristics for the Optimization of Travelling Salesman Problem
Abstract: Travelling salesman problem is a combinatorial NP-Hard Problem. It has vast number of applications in many other fields like engineering, transportation and logistics. In the area of combinatorial Optimization Problems, it is one of the most studied problem. This Problem is acting as benchmark for many other NP-Hard Problems. Even for 20 cities CPU’s takes 100’s of years to get the optimal solution. So, for computing NP-Hard problems we require …
Published in Recent Trends in Parallel Computing · Vol. 8, Issue 2, 2021 · pp. 20–26 Read article
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Stock Trading Algorithm with Technical Indicators Using Python for Indian Stocks
Abstract: In the financial markets, algorithmic trading has become a potent instrument that enables traders to automate their tactics and profit from market inefficiencies. In this paper, we describe a Python-based algorithmic trading model that makes use of technical indicators and evaluate its performance in comparison to the well-known buy-and-hold approach. By analysing historical price data, these indicators provide insights into the market trends and potential entry or exit points for …
Published in E-Commerce for Future & Trends · Vol. 10, Issue 2, 2023 · pp. 8–17 Read article
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A Correlative Study of Machine Learning Algorithms
Abstract: Machine learning (ML) is the term used to define a systematic reading of algorithms and mathematical models of computer structure used to perform a specific task without precise programming. Learning algorithms in many programs we use every day. Nowadays, one of the reasons an online search engine like Google performs so effectively is because the learning algorithm has mastered the art of rating web sites. Additional uses for these algorithms …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 9, Issue 2, 2022 · pp. 30–35 Read article
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Dynamic Price Model for E-Commerce
Abstract: Retailers may now respond to fluctuating demand, inventory levels, competitor activities, consumer traits, and market circumstances using dynamic pricing, a data-driven technique that has become more significant in e-commerce. Modern pricing systems are much more complex and responsive than they were in the past due to the fast advancements in artificial intelligence (AI), machine learning (ML), big data analytics, and reinforcement learning. This review critically examines recent developments in dynamic …
Published in E-Commerce for Future & Trends · Vol. 13, Issue 2, 2026 · pp. 45–55 Read article
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FlexEdify: Adaptive Learning Platform
Abstract: FlexEdify is an innovative adaptive learning platform revolutionizing the educational experience by customizing content to meet the unique needs of each student. Utilizing state-of-the-art machine learning algorithms, the system promptly analyzes students' real-time errors, meticulously storing them in a centralized database. This database serves as the cornerstone for adaptive questioning, allowing the platform to dynamically adjust subsequent content based on individual weaknesses. The platform features a user-friendly interface, guaranteeing accessibility …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 11, Issue 2, 2024 · pp. 20–24 Read article
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MODIFIED KEY GENERATION OF BLOWFISH ALGORITHM FOR TEXTUAL AND IMAGE DATA
Abstract: IoT is a word to today’s technical advancement to the digital world. Thus, not only the data which is marked as crucial, but security of this data is equitably important. This paper attempts to introduce one such way of safeguarding the data with encryption algorithm- Blowfish algorithm. The modification is made to the algorithm base lining the original algorithm and then the results are analyzed to validate the enhancement made. …
Published in Journal Of Network security · Vol. 6, Issue 1, 2018 · pp. 27–30 Read article