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729 articles for “Computer Algorithms”
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Hybrid Best-Response Algorithms for Mobile Computing Offloading: A Comprehensive Review
Abstract: The exponential growth of mobile applications with intensive computational requirements has necessitated innovative offloading strategies in mobile computing ecosystems. This comprehensive review examines hybrid best-response offloading algorithms integrated with game-theoretic optimization frameworks to address resource allocation challenges in mobile edge computing (MEC) environments. The proliferation of Internet of Things (IoT) devices and bandwidth-intensive applications has created unprecedented demands on mobile network infrastructure, compelling researchers to develop sophisticated offloading mechanisms that …
Published in International Journal of Mobile Computing Technology · Vol. 3, Issue 2, 2025 · pp. 20–26 Read article
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Fuzzy Keyword Search over Encrypted Data in Cloud Computing using String Matching Algorithm
Abstract: AbstractAs cloud computing ends up plainly overarching, over and extra sensitive information square measure being incorporated into the cloud. In spite of the fact that antiquated accessible encoding plans empower a client to immovably seek over scrambled learning through catchphrases and by choice recover records of premium, these systems bolster exclusively exact watchword look. Amid this paper, for the most vital time, we have a tendency to celebrate and explain …
Published in Journal of Operating Systems Development & Trends · Vol. 4, Issue 2, 2017 · pp. 8–12 Read article
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Catalyzing Scientific Exploration: Essential Algorithms in Python for Computational Excellence
Abstract: This research work delves into the foundational algorithms that underlie scientific computing, leveraging the Python programming language. It navigates through essential numerical techniques, optimization approaches, and linear algebra operations, highlighting their critical importance in diverse scientific fields. By offering illustrative examples and concise Python code snippets; the study emphasizes Python's role as a versatile and accessible platform for researchers and practitioners engaged in scientific computation. Python's widespread use in scientific …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 10, Issue 1, 2023 · pp. 33–42 Read article
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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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Matrix Factorization and Tensor Decomposition at Scale: Mathematical Foundations and Computational Approaches
Abstract: Matrix factorization and tensor decomposition techniques have emerged as fundamental tools in machine learning and data science for handling high dimensional data efficiently. This paper presents a comprehensive analysis of scalable matrix factorization and tensor decomposition methods, focusing on their mathematical foundations, computational complexity, and practical applications. We examine key algorithms including Singular Value Decomposition (SVD), Non-negative Matrix Factorization (NMF), CP decomposition, and Tucker decomposition, with particular emphasis on their …
Published in Recent Trends in Mathematics · Vol. 3, Issue 2, 2026 · pp. 56–59 Read article
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Asymptotic Notations: A Review
Abstract: Asymptotic notations play a fundamental role in assessing the efficiency and performance of algorithms, particularly as input sizes grow larger. This paper delves into three key asymptotic notations: Big O, Theta, and Omega, which are essential for understanding the upper, average, and lower bounds of an algorithm’s runtime. Big O notation specifically helps in determining the worst-case scenario of an algorithm’s growth rate, providing an upper bound on time or …
Published in Journal of Computer Technology & Applications · Vol. 15, Issue 3, 2024 · pp. 17–33 Read article
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Algorithmic Strategies for Complex Data Handling: Optimizing Data Structures for Enhanced Computational Performance
Abstract: We live in an age of big data and processing very large often complicated datasets can be crucial to efficient algorithmic performance. This paper discusses different algorithmic techniques when working with difficult data and how to arrange your information structures correctly for better functionality in large-scale methods. It checks the impact of different algorithms like sorting, searching, and hashing in boosting its processing speed as well as memory use. This …
Published in International Journal of Data Structure Studies · Vol. 2, Issue 2, 2024 · pp. 1–10 Read article
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Applying Computational Intelligence in Software Testing
Abstract: This paper describes two computational techniques that can be used to automate generation of test cases. These techniques are Genetic Algorithm (GA) and Particle Swarm Optimization (PSO). Both the algorithms are evaluated by varying parameters and recording the change in the results. A comparative study based on the results of these algorithms is also done. Cite this Article Saumya Dixit, Pradeep Tomar. Applying Computational Intelligence in Software Testing. Journal of …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 2, Issue 2, 2015 · pp. 7–11 Read article
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OS 2.0: Revolutionizing Operating System Architecture for Quantum Computing
Abstract: Quantum computing promises unprecedented processing power by harnessing quantum mechanical phenomena. However, existing operating systems are inadequate for the unique demands of quantum computers. This research proposes OS 2.0, a new operating system architecture tailored for quantum computing. A comprehensive literature review identifies key requirements like managing quantum entanglement and error correction. Evaluation of current operating systems reveals performance limits, lagging fault tolerance, and inability to control quantum interference effects. …
Published in Journal of Operating Systems Development & Trends · Vol. 10, Issue 3, 2023 · pp. 1–6 Read article
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Perfect Numbers: Computational and Technical Exploration
Abstract: This paper explores perfect numbers, by getting into their historical significance and computational journey from ancient times to the present day. The discussion covers the mathematical definition of perfect numbers, their importance in number theory, and the major milestones in their discovery. Also, it elaborates how the coders are using their skillsets to identify new perfect numbers and the transforming outcome of getting more and more perfect numbers found. By …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 13, Issue 1, 2026 · pp. 9–16 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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Online Learning Algorithm for Multi-Kernel Balancing of Computational Work Load
Abstract: The online learning is an advancement made toward the extended machine learning approach where the application is web-based. Thus, the common problem to build a kernel based online perceptron algorithm is the amount of memory required to dynamically access for the so formed hypothesis derivable from the algorithm. As it tends to increase without a lower bound; also the computational load of such an algorithm increases linearly with the memory …
Published in Journal of Web Engineering & Technology · Vol. 1, Issue 3, 2014 · pp. 15–18 Read article
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Next-generation Operating Systems: AI-driven Autonomy, Quantum Integration, and Edge Computing
Abstract: The rapid evolution of computing paradigms is driving the need for next-generation operating systems that seamlessly integrate artificial intelligence, quantum computing, and edge processing. Traditional operating systems, while efficient for classical computation, lack the necessary capabilities to handle real-time AI-driven decision-making, quantum processing, and decentralized edge networks. This study explores how future operating systems will incorporate AI-driven autonomy to enhance resource management, quantum integration to leverage superior computational power, and …
Published in Journal of Operating Systems Development & Trends · Vol. 12, Issue 1, 2025 · pp. 25–36 Read article
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A New Algorithm for Security in Cloud Computing
Abstract: ABSTRACTThis article provides a concise introduction to cloud computing and its relationship with security issues The forecast is cloudy with a good chance of performance improvements and meaningful connectivity. In this paper, we discus about a brief introduction to cloud computing and network security. We have also given a few security issues related to cloud computing.General Terms: Cloud computing, network security and related IssuesKeywords: Cloud computing, Saas, Paas, Iaas, security …
Published in Current Trends in Information Technology · Vol. 2, Issue 2, 2012 · pp. 1–6 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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Advancements in Quantum Computing: Challenges and Prospects
Abstract: Quantum computing has emerged as a promising field with the potential to revolutionize computation by harnessing the principles of quantum mechanics. In recent years, significant advancements have been made in the development of quantum computers, quantum algorithms, and quantum error correction. However, several challenges still need to be overcome before quantum computing can become a practical and scalable technology.This review article provides a comprehensive overview of the recent advancements in …
Published in Research & Reviews : Journal of Physics · Vol. 12, Issue 1, 2023 · pp. 22–25 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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Computation of IIR Filter Coefficient using Genetic Algorithm
Abstract: In the proposed paper the filter coefficient of the infinite impulse response filter is estimated by using genetic algorithm. Genetic algorithm is a computational optimization technique which optimizes fitness function. The paper finds the optimum coefficient of the infinite impulse response filter and compares it to the filter coefficients obtained after conversion of analog filter into digital infinite impulse response filter. It is found that the coefficients obtained after genetic …
Published in Current Trends in Signal Processing · Vol. 5, Issue 2, 2015 · pp. 24–26 Read article
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Parallel Computing to Perform Isogeometric Topology Optimisation of Continuum Structures Using Aqua Search Evolutionary Algorithm
Abstract: AbstractThe efficiency and effectiveness of using the computational power to solve engineering problems is the real challenge. The knowledge of Computer Science and Information Technology should enable us to address these challenges in the field of computational mechanics and solvea few structural engineering problems. The main focus in this paper is to be able to apply parallel computing to perform engineering optimization of NP(non-deterministic polynomial-time hardness)-hard problems using fewer computational …
Published in Recent Trends in Parallel Computing · Vol. 4, Issue 2, 2017 · pp. 21–31 Read article
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Relative Cloud Computing and its Algebraic Application in e-Diagnosis Algorithm
Abstract: The theory of cloud computing is applied to develop an e-diagnosis system in this paper. The set of real numbers and the set of patients characterized by the diseases are studied by the isomorphism. This is analyzed by the block matrix. The mapping is defined by the discrete time set. The output time is classified by the cloud space. The patient information and its representation by the block matrix over …
Published in Journal of Advanced Database Management & Systems · Vol. 7, Issue 2, 2020 · pp. 15–18 Read article