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1981 articles for “A* algorithm” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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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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Load Balancing Approach for Proposed Hybrid Scheduling Algorithm in Heterogeneous Networks
Abstract: AbstractRecent developments in multiple technologies evolving nowadays provide users with broadband services of high quality and seamless mobility. Wireless networks comprising of third generation (3G) and fourth generation (4G) are on the verge to provide wide coverage and good mobility capabilities. All these high quality wireless networks have been deployed within one region overlapping each other, hence generating a heterogeneous network for wireless access which can be represented as 4G …
Published in Current Trends in Signal Processing · Vol. 8, Issue 1, 2018 · pp. 1–9 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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Test Time and Power Optimization of 2D SOCs Using GA and Greedy Algorithm
Abstract: This paper presents a genetic algorithm (GA) and greedy algorithm-based solution to co-optimize test scheduling under power constraint for core-based system-on-chips (SOCs). The core testing solutions are represented as set of wrapper configurations represented in rectangular bins of width equal to the test access mechanism (TAM) bandwidth and height equal to the corresponding test time. A best fit algorithm is used for the wrapper design. Experimental results are obtained for …
Published in Journal of Power Electronics and Power Systems · Vol. 5, Issue 2, 2015 · pp. 63–67 Read article
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Performance Analysis of DNA Sequencing Using Smith-Waterman Algorithm on FPGA
Abstract: The Smith-Waterman algorithm is the most accurate and optimal alignment algorithm for DNA sequencing. It is utilized to locate the ideal local alignment between two sequences. While looking sequence databases that may contain billions of sequences, this algorithm turns out to be computationally costly and tedious. Smith-Waterman algorithm needs additional memory space and this constrains the extent of a sequence to be aligned. In this study we will implement the …
Published in Journal of VLSI Design Tools and Technology · Vol. 9, Issue 2, 2019 · pp. 8–12 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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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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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
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Optimizing Tourist Mobility with Dijkstra’s Algorithm: A Review on Pollution Reduction through Smart Path Planning
Abstract: Although Tourism helps the economy, but it can also harm the environment, especially in popular tourist destinations. Optimizing routing is one way to reduce these environmental effects. This review paper examines how the well-known and traditional Dijkstra's method for shortest path computation is used to pollution management and support sustainable tourism. The study explores how intelligent traffic routing can minimize traffic congestion in environmentally sensitive areas and lower fuel consumption …
Published in Trends in Transport Engineering and Applications · Vol. 13, Issue 2, 2026 · pp. 20–29 Read article
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A Study of DATA Mining Algorithms
Abstract: The time needed for generating frequent patterns plays a vital role. Some algorithms are designed, considering solely the time issue. Our study includes depth analysis of algorithms and discusses some problems of generating frequent pattern from the varied algorithms. We have explored the unifying feature among the inner operating of assorted mining algorithms. The work yields a close analysis of the algorithms to elucidate the performance with normal dataset like …
Published in Journal of Advanced Database Management & Systems · Vol. 2, Issue 1, 2015 · pp. 22–26 Read article
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Strategies in Hybrid Evolutionary Algorithms for Optimization
Abstract: AbstractEvolutionary computing has grown to be a significant methodology in the field of research. Robustness and adaptation are some of the prime features of evolutionary algorithms as compared to other global optimization techniques. Even though evolutionary computation is popularly used for solving several important practical problems in engineering, business, commerce, etc., there is scope for fine-tuning its performance. It is not easy to find any one best algorithm for solving …
Published in Journal of Advancements in Robotics · Vol. 4, Issue 3, 2017 · pp. 29–32 Read article
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Scheduling Algorithms in Cloud Computing: A Review
Abstract: Abstract: Cloud computing is one of the emanate computer technologies in information technology that provide shared resources like databases, storage, servers, and software to the users according to need on rental basis, which results in no initial setup cost. Scheduling is one of the critical aspects that influence the system performance. Scheduling algorithm is said to be efficient if it minimizes the completion time of the task, with limited resource …
Published in Journal of Advanced Database Management & Systems · Vol. 6, Issue 3, 2019 · pp. 16–20 Read article
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Fuzzy Fitness Genetic Algorithm for Single Machine Scheduling
Abstract: In this paper, we have discussed the single machine scheduling problem and its solution with genetic algorithm. Experimental part of this paper checks the feasibility of fuzzy sets to be used as fitness function of genetic algorithmic solution of single machine scheduling problem.Cite this ArticlePushpa, Roshan Lal Hiranwal. Fuzzy Fitness Genetic Algorithm for Single Machine Scheduling. Research & Reviews: Discrete Mathematical Structures. 2016; 3(1): 22–26p.
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 3, Issue 1, 2016 · pp. 22–26 Read article
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An Optimal Memory Management Algorithm for Smart Home Gateway
Abstract: This paper proposes an optimal memory management algorithm using in smart home gateway for smart home system. Home gateway is the central component in the smart home, which manage many applications despite limited memory resources. During the application services running mode, addresses many problem. When a new application service node coming with required memory than which application or service node will be stopped or kicked out of memory to start …
Published in Recent Trends in Programming languages · Vol. 2, Issue 2, 2015 · pp. 1–6 Read article
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Implementation of MRPrePost Parallel Algorithm based on Hadoop Platform for Large-Data Mining
Abstract: AbstractThe volume, velocity and variety of the data have increased several folds in the past few years. The conventional algorithms and techniques used to mine such huge data are found to be less efficient because these algorithms consider only the large threshold value due to which the number of candidates can be reduced, but this will lead mining association rules production to be inaccurate due to low utilization of data. …
Published in Recent Trends in Parallel Computing · Vol. 4, Issue 2, 2017 · pp. 10–20 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, Changes, and Uses of the Novel Social Spider Optimization Algorithm
Abstract: The rising complexity of real-world problems has prompted researchers and computer scientists to look for more effective ways to solve difficulties. Generally inspired by nature, bioinspired metaheuristics based on swarm intelligence algorithms and evolutionary computation have been widely employed to solve complicated, real-world optimization problems because of their adaptability to a broad variety of factors. The social spider optimization (SSO) approach is introduced in this article as a swarm-based algorithm, …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 10, Issue 3, 2023 · pp. 61–71 Read article
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Implementation & Performance Analysis of Rehabilitated Cyclic Scheduling Algorithms for Real Time Systems using TORSCHE & True Time Kernel
Abstract: This paper focuses to implement novel cyclic scheduling algorithm for the various uses in Real Time system(s). We had used TORSCHE Toolbox and true time kernel simulator for generating the accepted results. The major design issues are less response time, real time constraints and No Deadline misses. As cyclic scheduling algorithm is very popular among all fixed real time scheduling algorithms and have wide application(s)and scope in Real time Embedded …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 1, Issue 1, 2013 · pp. 24–29 Read article
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A Review and Analysis of Improved Cryptography Algorithm
Abstract: This review paper discusses attacks on the advanced encryption standard algorithm called Rijndael. Earlier, the best attack on Rijndael compromised up to six rounds of the algorithm. The original attacks require nearly the entire Rijndael codebook, which is impractical even for an adversary with high computing power. The complexity of the original attack was 272. This article attempts to reduce the complexity of the attack to 244. A partial sum …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 4, Issue 1, 2016 · pp. 13–16 Read article
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Minimizing the Synthesis Time of Nanostructured Powders in Planetary Mills using Biogeography-based Optimization (BBO) Algorithm
Abstract: A key objective in processing of nanostructured powders via high-energy ball milling is to minimize the synthesis time. This paper presents the application of biogeography-based algorithm for optimization of milling parameters in order to minimize the synthesis time of nanostructured powders in planetary mills. At first a direct relationship between the inverse of the milling time and the power of the planetary mill was established, which allows the validation of …
Published in Journal of Nanoscience, NanoEngineering & Applications · Vol. 4, Issue 1, 2014 · pp. 6–18 Read article