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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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A Novel Hybrid Link Prediction Algorithm for E-Commerce Recommender System Based upon Common Neighbor and Resource Allocation Methods
Abstract: Link prediction is a challenging task in recommender systems, as it requires the ability to accurately predict future links between users and items. In this study, we propose a novel hybrid link prediction algorithm for e-commerce recommender systems that combines the common neighbor and resource allocation methods. The common neighbor method is a straightforward and intuitive algorithm that calculates the number of shared neighbors between two nodes. The intuition is …
Published in International Journal of Data Structure Studies · Vol. 1, Issue 1, 2023 · pp. 12–17 Read article
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LinkedIn Connection Visualizer
Abstract: This project focuses on connection visualising with the help of a social network. The digital age has exponentially expanded professional networks, making it imperative for individuals to harness platforms like LinkedIn efficiently. Our project introduces the "Profile Resonance Recommendation Algorithm (PRRA)", a unique approach to navigatethis intricate web. PRRA refines the traditional Content-Based Filtering mechanism to provide LinkedIn users with recommendations that resonate closely with their professional profiles. By analysing …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 10, Issue 3, 2023 · pp. 1–9 Read article
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Evaluation of Write Sequence Reordering Based Buffer Replacement Algorithms for Flash Memory Based Systems
Abstract: Many page replacement algorithms have been developed for disk-based systems. All of them consider the hit rate as a key performance measure. Flash memory has different characteristics than hard disks, such as asymmetric I/O latency among read, write, and erase operations. The read operation is faster than the write and erase operation, and it does not support in-place updates. Besides, write operations shorten the life of flash memories. Therefore, the …
Published in Journal of Computer Technology & Applications · Vol. 14, Issue 2, 2023 · pp. 36–45 Read article
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Tank Water Quality Analysis Using Machine Learning
Abstract: Tank Water quality is a critical factor for public health, agriculture, as well as industry. Continuous monitoring of tank water quality: temperature, humidity, water level, CO2 concentration, and pH, is vital for safe usage. Using machine learning, real-time data analysis can detect anomalies, predict issues, and optimize water management, ensuring timely responses and improved safety. This intelligent approach enhances decision-making and maintains water quality effectively in various environments.We develop an …
Published in Journal of Control & Instrumentation · Vol. 16, Issue 2, 2025 · pp. 27–34 Read article
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Modeling of Maximum Power Point Tracking Controllers for Wind Generation System using Hill Climb Searching Technique
Abstract: In this paper, based on a low-cost, small-scale application, presents a Maximum Power Point Tracking (MPPT) controller for wind generation systems (WGS). The Hill Climb Search approach served as the foundation for the development of the MPPT algorithm. To account for the inertia of wind turbines, an enhanced hill-climb searching approach has been created as a fundamental component of the max-power extraction algorithm. Under varying wind conditions, the generator can …
Published in Journal of Power Electronics and Power Systems · Vol. 13, Issue 3, 2023 · pp. 39–47 Read article
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Classification and Detection of Brain Tumor using Convolutional Neural Network
Abstract: Tumors are masses created when brain cells multiply uncontrollably. A brain tumor is the medical term for this condition. Brain tumors are a serious and aggressive disease that can lead to a reduced life expectancy. Developing a treatment plan is essential to raising a patient's standard of living. Tumors in different regions of the body are evaluated using a variety of imaging techniques, with MRI pictures being utilized mostly for …
Published in International Journal of Cheminformatics · Vol. 1, Issue 1, 2023 · pp. 8–13 Read article
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Modified Search Solutions Based ABC with Mutation Algorithm for TSP
Abstract: Swarm intelligence systems are basically made up of simple agents’ population, which are interacting locally with each other and with their surroundings. The artificial bee colony algorithm (ABC) is for aging behavior based optimization algorithm. In this paper, modified version of ABC algorithm, called as ABCM, is used. In this algorithm, two equations of original ABC algorithm are modified: First is the search equation of employed bee and second is …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 3, Issue 2, 2016 · pp. 39–43 Read article
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Predicting the Physical Property of Asphaltene Molecule using Fuzzy System
Abstract: Asphaltenes — the heaviest and most aromatic compounds of crude oil— have a strong tendency to aggregate in solution to form complex colloidal structures. They generally impede producing, transporting and refining of crude oil resources. An indepth knowledge of the physical behavior of asphaltenes is needed to mitigate these effects. Predicting the physical behavior of asphaltene such as density is complex and nonlinear as it is a complex molecular mixture …
Published in Journal of Modern Chemistry & Chemical Technology · Vol. 5, Issue 3, 2014 · pp. 1–9 Read article
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A Survey on Word Sense Disambiguation for Persian language
Abstract: Natural language processing (NLP) is considered as one of the most important subfields of Artificial Intelligence. It’s used to provide an Interface between Computer and Human languages. NLP has found its application on several areas such as Speech processing, Summation of text, Machine translation, Searching, Information grouping, Parts of Speech Tagging (POS), Sentiment analysis and etc. Natural language processing is posing some challenges in speech recognition, ambiguity in preposition attachment, …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 5, Issue 1, 2018 · pp. 12–17 Read article
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A Supervised Word Sense Disambiguation for Persian Using k-NN Approach
Abstract: Natural language processing (NLP) is considered as one of the most important subfields of Artificial Intelligence. It is used to provide an Interface between Computer and Human languages. NLP has found its application on several areas such as Speech processing, Summation of text, Machine translation, Searching, Information grouping, Parts of Speech Tagging (POS), Sentiment analysis and etc. Natural language processing is posing some challenges in speech recognition, ambiguity in preposition …
Published in Journal of Advancements in Robotics · Vol. 5, Issue 2, 2018 · pp. 26–34 Read article
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High-Definition Electroencephalography: A New Horizon in Neurological Pathology Research
Abstract: The advent of high-density electroencephalography (HD-EEG) has catalyzed a paradigm shift in the exploration of neurological pathologies. This editorial underscore its transformative potential in elucidating brain dynamics and refining diagnostic approaches for a spectrum of conditions, spanning from epilepsy and dementia to cognitive impairments in preterm infants. Our objective is to optimize the utility of HD-EEG by emphasizing the imperative for methodological homogenization and fostering collaborative endeavors. The remarkable spatial …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 14, Issue 2, 2024 · pp. 15–21 Read article
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Fake News Detection Using N-Gram Analysis and Machine Learning Algorithms
Abstract: Fake news is untrue information presented as news. Fake news easily spread than real news amongst social networking sites. Detection of fake news is an important emerging research area which is gaining popularity. The main challenge in fake news detection is limited availability of resources (datasets). This project work detects fake news using n-gram analysis and machine learning algorithms. Evaluation and comparison between two feature extraction technique namely Term Frequency …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 8, Issue 1, 2021 · pp. 33–43 Read article
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Application of Generic Multi-criteria Economic Model for Line Balancing to a Hypothetical Organization Using Soft Computing Techniques
Abstract: Total Productive Manufacturing (TPM) is feasible only if the Overall Equipment Effectiveness (OEE) of the production line meets world-class standards. In the current research, crisp and fuzzy simulation models are developed and implemented for exploring OEE parameters for a hypothetical manufacturing organization. As OEE parameters, availability, performance efficiency, and quality, in turn, depend on several other parameters, a sort of cascaded effect is generated which can effectively be modeled as …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 10, Issue 1, 2023 · pp. 105–122 Read article
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Survey of Predictive Models for Safe Route Predicting Using Machine Learning Techniques
Abstract: Safe route prediction is essential for the well-being and security of individuals in urban and rural environments. Machine learning techniques leverage historical data, real-time information, and algorithms to estimate the safety levels of different routes. The objective of safe route planning is to minimize risks, including crime-prone areas and accidents, reducing potential harm, property damage, and emotional distress. However, challenges arise from the complex and dynamic nature of urban environments, …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 11, Issue 1, 2024 · pp. 13–22 Read article
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Classification of Homogeneous and Heterogeneous Fog for Vision Enhancement
Abstract: Classification is the prior methodology to design vision enhancement algorithms to make them more efficient. In this reported work, mean intensity value and range of intensity level are proposed for the classification of camera images into homogeneous and heterogeneous fog due to turbid weather conditions for the first time. The use of average intensity and distribution of intensity of synthetic foggy images with different kind of fog are taken as …
Published in Current Trends in Signal Processing · Vol. 4, Issue 2, 2014 · pp. 7–10 Read article
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Comprehensive Analysis of Counting by Sorting
Abstract: Sorting algorithms play an important role in computer science, as they facilitate the effective organization and retrieval of data. Counting sort is a non-comparative integer sorting algorithm that works well with a limited number of integers known beforehand. The process, advantages, and limitations of this sorting algorithm were investigated in this study. Unlike other comparison-based sorting algorithms, counting sort achieves a time complexity of O(n+k), which depends on the input …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 11, Issue 2, 2024 · pp. 1–6 Read article
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Algorithmic Ecology: A Framework for Achieving Carbon-Neutrality in Global Data Infrastructure
Abstract: The exponential growth of digital infrastructure has positioned data centers as critical enablers of the global digital economy, yet their environmental impact has become a paramount concern. Data centers consumed approximately 205 TWh globally in 2018, representing about 1% of global power usage with a steady 6% growth trend. This review synthesizes current literature on green algorithms and sustainable data center technologies, examining the intersection of artificial intelligence, machine learning …
Published in International Journal of Sustainability · Vol. 3, Issue 1, 2026 · pp. 33–48 Read article
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Arduino-Based Embedded-Software for Offline and Web-Based Attendance System
Abstract: Embedded software originally controlled hardware but algorithm and software developed determine mode of control and action expected of the hardware. Arduino hardware microcontroller board called Arduino UNO is one of the best electronics boards with coding these days while many attendance systems developed today are mostly one-way. Many developing and underdeveloped countries cannot guaranty 24/7 electricity and strong network connection or data for fully online attendance system. Based on this …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 9, Issue 4, 2021 · pp. 12–22 Read article
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Arduino-Based Embedded-Software for Offline and Web-Based Attendance System
Abstract: Embedded software originally controlled hardware but algorithm and software developed determine mode of control and action expected of the hardware. Arduino hardware microcontroller board called Arduino UNO is one of the best electronics boards with coding these days while many attendance systems developed today are mostly one-way. Many developing and underdeveloped countries cannot guaranty 24/7 electricity and strong network connection or data for fully online attendance system. Based on this …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 9, Issue 3, 2021 · pp. 12–22 Read article
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Performance Analysis of FLC-NR based Loss Minimisation Algorithm for BLDC Motor
Abstract: Brushless DC motors are increasingly used in industry due to their high power density and ease of control. Efficiency of BLDC motor is reduced due to various losses like copper loss, core loss and switching loss. A fuzzy logic based loss minimisation algorithm is described in this study. Selective harmonic elimination-based pulse-width modulation to optimise both the converter switching losses along with machine core and copper losses is done based …
Published in Trends in Electrical Engineering · Vol. 8, Issue 3, 2018 · pp. 51–59 Read article