Relevant bibliographies by topics / Research algorithm

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Research algorithm'

Author: Grafiati
Published: 7 June 2025
Last updated: 2 August 2025

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Journal articles on the topic "Research algorithm"

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Huang, Feifan. "The Research Progress of Path Planning Algorithms." Highlights in Science, Engineering and Technology 63 (August 8, 2023): 216–21. http://dx.doi.org/10.54097/hset.v63i.10879.

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At present, path-planning for mobile robots is a hot problem. In the previous scientific research, A*, Dijkstra, rapidly-exploring random tree (RRT) and many other algorithms have appeared. To provide a clearer understanding of these algorithms, this article organized the idea and development of Q-learning, A* algorithm, ant colony algorithm, RRT algorithm and Dijkstra algorithm. According to the time order, this article researched several applications of the five algorithms respectively. Besides, optimization of the five algorithms in the past few years were listed. There are also examples of
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Dan Liu, Dan Liu, Shu-Wen Yao Dan Liu, Hai-Long Zhao Shu-Wen Yao, et al. "Research on Mutual Information Feature Selection Algorithm Based on Genetic Algorithm." 電腦學刊 33, no. 6 (2022): 131–41. http://dx.doi.org/10.53106/199115992022123306011.

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<p>Feature selection is an important part of data preprocessing. Feature selection algorithms that use mutual information as evaluation can effectively handle different types of data, so it has been widely used. However, the potential relationship between relevance and redundancy in the evaluation criteria is often ignored, so that effective feature subsets cannot be selected. Optimize the evaluation criteria of the mutual information feature selection algorithm and propose a mutual information feature selection algorithm based on dynamic penalty factors (Dynamic Penalty Factor Mutual In
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Tan, Jun. "Weighted Association Rules Mining Algorithm Research." Applied Mechanics and Materials 241-244 (December 2012): 1598–601. http://dx.doi.org/10.4028/www.scientific.net/amm.241-244.1598.

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Aiming at the problem that most of weighted association rules mining algorithms have not the anti-monotonicity, this paper presents a weighted support-confidence framework which supports anti-monotonicity. On this basis, weighted boolean association rules mining algorithm and weighted fuzzy association rules mining algorithm are presented, which use pruning strategy of Apriori algorithm so that improve the efficiency of frequent itemsets generated. Experimental results show that both algorithms have good performance.
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Zhang, Qing-hui, Qi-ming Wang, and Shuying Qin. "Research on An Improved RFID Collision Algorithm." MATEC Web of Conferences 232 (2018): 03012. http://dx.doi.org/10.1051/matecconf/201823203012.

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Radio Frequency Identification (RFID) is a kind of information that using radio Identification technology. Anti-collision algorithm has always been a research topic for researchers. The anti-collision algorithm of labels is mainly divided into two major categories: ALOHA-Based Anti-Collision Algorithms and Anti-collision algorithm based on binary search. Both algorithms have their own advantages and disadvantages, Anti-collision algorithm that based on ALOHA is simple and fast, but it will lose labels. Binary-based anti-collision algorithm can be searched for every tag, and it is not easy to l
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Xue, Liqi. "Research on SGD Algorithm Using Momentum Strategy." Applied and Computational Engineering 2, no. 1 (2023): 141–50. http://dx.doi.org/10.54254/2755-2721/2/20220622.

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With the continuous development of stochastic gradient descent algorithms, many efficient momentum algorithms have appeared. Stochastic gradient descent(SGD) is one of the classic algorithms in optimization. Its accelerated version, the SGD algorithm with momentum strategy, has been a hot research topic in recent years. Therefore, this paper will analyze and summarize these series of algorithms, starting with the classical momentum algorithm, and introduce some improved versions of the momentum algorithm. Numerical experiments on real problems will also be done to evaluate the performance of t
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Zhang, Yi Fan, Yong Tao Qian, Tai Yu Liu, and Shu Yan Wu. "Data Mining Clustering Algorithm Research and Application." Advanced Materials Research 926-930 (May 2014): 3608–11. http://dx.doi.org/10.4028/www.scientific.net/amr.926-930.3608.

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In this paper, first introduce data mining knowledge then focuses on the clustering analysis algorithms, including classification clustering algorithm, and each classification typical cluster analysis algorithms, including the formal description of each algorithm as well as the advantages and disadvantages of each algorithm also has a more detailed description. Then carefully introduce data mining algorithm on the basis of cluster analysis. And using cohesion based clustering algorithm with DBSCAN algorithm and clustering in consumer spending in two-dimensional space, 2,000 data points for eac
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Yi, Jian Jun, Fei Luo, Shao Li Chen, Bai Yang Ji, and Hai Xu Yan. "Research on a Dynamic Binary Stack Anti-Collision Algorithm." Applied Mechanics and Materials 268-270 (December 2012): 1426–31. http://dx.doi.org/10.4028/www.scientific.net/amm.268-270.1426.

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RFID anti-collision technology is one of a key technology in RFID application system. Anti-collision algorithms for RFID systems include tag anti-collision algorithms and reader anti-collision algorithms. This paper focused on the impoved binary algorithm and dynamic binary algorithm. An improved algorithm has been proposed, in which the collision bits was put into the stack and they were used as the reader’s request. Based on this mechanism, a novel binary stack algorithm has been proposed. Its simulation was given to analyze the performance of this algorithm. The simulation results showed th
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Zeng, Yi, Shiqun Yin, Jiangyue Liu, and Miao Zhang. "Research of Improved FP-Growth Algorithm in Association Rules Mining." Scientific Programming 2015 (2015): 1–6. http://dx.doi.org/10.1155/2015/910281.

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Association rules mining is an important technology in data mining. FP-Growth (frequent-pattern growth) algorithm is a classical algorithm in association rules mining. But the FP-Growth algorithm in mining needs two times to scan database, which reduces the efficiency of algorithm. Through the study of association rules mining and FP-Growth algorithm, we worked out improved algorithms of FP-Growth algorithm—Painting-Growth algorithm and N (not) Painting-Growth algorithm (removes the painting steps, and uses another way to achieve). We compared two kinds of improved algorithms with FP-Growth al
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Yu, Binyan, and Yuanzheng Zheng. "Research on algorithms of machine learning." Applied and Computational Engineering 39, no. 1 (2024): 277–81. http://dx.doi.org/10.54254/2755-2721/39/20230614.

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Machine learning has endless application possibilities, with many algorithms worth learning in depth. Different algorithms can be flexibly applied to a variety of vertical fields, such as the most common neural network algorithms for face recognition, garbage classification, picture classification, and other application scenarios image recognition and computer vision, the hottest recent natural language processing and recommendation algorithms for different applications are from it. In the field of financial analysis, the decision tree algorithm and its derivative algorithms such as random for
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Li, Xiao Bo. "Contrast Research of Two Kinds of Integrated Sorting Algorithms." Advanced Materials Research 433-440 (January 2012): 4025–31. http://dx.doi.org/10.4028/www.scientific.net/amr.433-440.4025.

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Boosting and Bagging are two kinds of important voting sorting algorithms. Boosting algorithm can generate multiple classifiers by serialization through adjustment of sample weight; Bagging can generate multiple classifiers by parallelization. Different algorithms are composed of different loss and different integration mode, through integration of Bagging and Boosting algorithm and naïve Bayes algorithm, the Bagging NB and AdaBoost NB algorithms are constructed. Through experiment contrast of UCI data set, the result shows Bagging NB algorithm is relatively stable, it can produce the sorting
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Dissertations / Theses on the topic "Research algorithm"

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Mahmoud, K. I. "A generalised assembly line balancing algorithm." Thesis, University of Bradford, 1989. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.291002.

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McGraw, Philip E. "The oscillogenic control algorithm." Thesis, Virginia Tech, 1987. http://hdl.handle.net/10919/45770.

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<p>An electronic-hardware-based oscillogenic controller previously developed by P. K. Mercure was used as a model for translation into a software-based control algoritnm. The oscillogenic instrument, invented by P. R. Rony and P. K. Mercure, uses a feedback element (the oscillogenic controller) and a sensor component to produces a periodic signal yielding information about the instrument's sensor component. A control program that utilized the oscillogenic control algorithm was written in the Turbo Pascal programming language. An IBM PC with 640 kilobytes of read/write memory and with anal
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Lin, Yu-Min. "Tabu Search and Genetic Algorithm for Phylogeny Inference." NCSU, 2008. http://www.lib.ncsu.edu/theses/available/etd-10092008-235130/.

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Phylogenetics is the study of evolutionary relations between different organisms. Phylogenetic trees are the representations of these relations. Researchers have been working on finding fast and systematic approaches to reconstruct phylogenetic trees from observed data for over 40 years. It has been shown that, given a certain criterion to evaluate each tree, finding the best fitted phylogenetic trees among all possible trees is an NP-hard problem. In this study, we focus on the topology searching techniques for the maximum-parsimony and maximum-likelihood phylogeny inference. We proposed two
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Liu, Honggang. "Research and implementation of an indoor positioning algorithm." Thesis, Mittuniversitetet, Avdelningen för informationssystem och -teknologi, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-32394.

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The goal of the Internet of Things’ sensing technology is to provide LBS(location-based services); a key technology is finding out how to positioning the sensing devices. For positioning outdoors, mature tech-nology such as GPS and cellular network location can be used. There is little research about indoor positioning, and there is no finished product on the market. This paper shows how to use both Wi-Fi and ZigBee signal for position-ing; Wi-Fi to find the area position and ZigBee to find the coordinate position. The main contribution of this paper is described in the follow-ing: This paper
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Bailey, James Patrick. "Octanary branching algorithm." Thesis, Kansas State University, 2012. http://hdl.handle.net/2097/13801.

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Master of Science<br>Department of Industrial and Manufacturing Systems Engineering<br>Todd Easton<br>Integer Programs (IP) are a class of discrete optimization that have been used commercially to improve various systems. IPs are often used to reach an optimal financial objective with constraints based upon resources, operations and other restrictions. While incredibly beneficial, IPs have been shown to be NP-complete with many IPs remaining unsolvable. Traditionally, Branch and Bound (BB) has been used to solve IPs. BB is an iterative algorithm that enumerates all potential integer solu
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Hickman, Randal E. "Interception algorithm for autonomous vehicles with imperfect information." Thesis, Massachusetts Institute of Technology, 2005. http://hdl.handle.net/1721.1/32340.

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Thesis (S.M.)--Massachusetts Institute of Technology, Sloan School of Management, Operations Research Center, 2005.<br>Includes bibliographical references (p. 144-146).<br>Autonomous vehicles often operate in environments with imperfect information. This thesis addresses the case of a system of autonomous vehicles and sensors attempting to intercept a moving object of interest that arrives stochastically and moves stochastically after arrival. A sensor array is placed in the area of expected arrivals. As the object of interest moves across the sensor system, the system initially receives perfe
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Guilbeau, Jared T. "A Vector Parallel Branch and Bound Algorithm." Thesis, University of Louisiana at Lafayette, 2017. http://pqdtopen.proquest.com/#viewpdf?dispub=10242153.

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<p> Global optimization problems sometimes attain their extrema on infinite subsets of the search space, forcing mathematically rigorous programs to require large amounts of data to describe these sets. This makes these programs natural candidates for both vectorization methods and parallel computing. Here, we give a brief overview of parallel computing and vectorization methods, exploit their availability by constructing a fully distributed implementation of a mathematically rigorous Vector Parallel Branch and Bound Algorithm using MATLAB&rsquo;s SPMD architecture and interval arithmetic, and
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Testa, Mariapaola. "Modeling and design of material recovery facilities : genetic algorithm approach." Thesis, Massachusetts Institute of Technology, 2015. http://hdl.handle.net/1721.1/98715.

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Thesis: S.M., Massachusetts Institute of Technology, Sloan School of Management, Operations Research Center, 2015.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 187-193).<br>In the Organisation for Economic Co-operation and Development (OECD) area, the production of numerical solid waste (MI\SW) increased by 32% between 1990 and 2011, exceeding 660 million tonnes in 2011; the world-wide production of waste is estimated to grow further due to increasing GDP in developing economies. Given this scenario, effective treatment and recovery of wastes becomes a
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Kilincli, Taskiran Gamze. "An Improved Genetic Algorithm for Knapsack Problems." Wright State University / OhioLINK, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=wright1270598986.

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Dong, Bing. "Research and optimization of the Bloom filter algorithm in Hadoop." Thesis, Uppsala universitet, Institutionen för informationsteknologi, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-196637.

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An increasing number of enterprises have the need of transferring data from a traditional database to a cloud-computing system. Big data in Teradata (a data warehouse) often needs to be transferred to Hadoop, a distributed system, for further computing and analysis. However, if data stored in Teradata is not synced with Hadoop, e.g. due to data loss during the communication, sync and copy process, it will cause the data to disaccord. A survey shows that except for the algorithm provided by Hadoop, the Bloom filter algorithm can be a good choice for data reconciliation. MD5 hash technology is a
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Books on the topic "Research algorithm"

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Mastorakis, Nikos E. Pathway modeling and algorithm research. Nova Science Publishers, 2011.

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Brzeziński, Jerzy, doc. dr hab., Coniglione Francesco, and Marek Tadeusz, eds. Science: Between algorithm and creativity. Eburon, 1992.

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Shi, Yuhui. Emerging research on swarm intelligence and algorithm optimization. Information Science Reference, 2015.

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Gen, Mitsuo. Network models and optimization: Multiobjective genetic algorithm approach. Springer, 2008.

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United States. National Aeronautics and Space Administration. Scientific and Technical Information Program., ed. Subsonic flight test evaluation of a performance seeking control algorithm on an F-15 airplane. National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Program, 1992.

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United States. Office of Mission to Planet Earth., ed. NASA pathfinder data set product generation and algorithm development: NASA research announcement soliciting research proposals for research commencing on or after July 1, 1995. Office of Mission to Planet Earth, National Aeronautics and Space Administration, 1994.

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Chang, Hyeong Soo. Simulation-Based Algorithms for Markov Decision Processes. 2nd ed. Springer London, 2013.

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Nihan, N. L. Predictive algorithm improvements for a real-time ramp control system: Final report, Research Project GC 8286, Task 16, Ramp Control Volume Forecast. Washington State Dept. of Transportation, Planning, Research and Public Transportation Division, in cooperation with the U.S. Dept. of Transportation, Federal Highway Administration, 1991.

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United States. National Aeronautics and Space Administration., ed. Space-related applications of intelligent control: Which algorithm to choose? (theoretical analysis of the problem) : final report on research project funded by NASA Grant 9-757. National Aeronautics and Space Administration, 1996.

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United States. National Aeronautics and Space Administration., ed. Space-related applications of intelligent control: Which algorithm to choose? (theoretical analysis of the problem) : final report on research project funded by NASA Grant 9-757. National Aeronautics and Space Administration, 1996.

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Book chapters on the topic "Research algorithm"

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Bansal, Jagdish Chand, Prathu Bajpai, Anjali Rawat, and Atulya K. Nagar. "Conclusion and Further Research Directions." In Sine Cosine Algorithm for Optimization. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-9722-8_6.

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AbstractThe increasing complexity of real-world optimization problems demands fast, robust, and efficient meta-heuristic algorithms. The popularity of these intelligent techniques is gaining popularity day by day among researchers from various disciplines of science and engineering. The sine cosine algorithm is a simple population-based stochastic approach for handling different optimization problems. In this work, we have discussed the basic sine cosine algorithm for continuous optimization problems, the multi-objective sine cosine algorithm for handling multi-objective optimization problems,
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Gass, Saul I., and Carl M. Harris. "algorithm." In Encyclopedia of Operations Research and Management Science. Springer US, 2001. http://dx.doi.org/10.1007/1-4020-0611-x_1013.

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Gass, Saul I., and Carl M. Harris. "algorithm." In Encyclopedia of Operations Research and Management Science. Springer US, 2001. http://dx.doi.org/10.1007/1-4020-0611-x_284.

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Gass, Saul I., and Carl M. Harris. "algorithm." In Encyclopedia of Operations Research and Management Science. Springer US, 2001. http://dx.doi.org/10.1007/1-4020-0611-x_316.

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Gass, Saul I., and Carl M. Harris. "algorithm." In Encyclopedia of Operations Research and Management Science. Springer US, 2001. http://dx.doi.org/10.1007/1-4020-0611-x_494.

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Gass, Saul I., and Carl M. Harris. "algorithm." In Encyclopedia of Operations Research and Management Science. Springer US, 2001. http://dx.doi.org/10.1007/1-4020-0611-x_795.

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Gass, Saul I., and Carl M. Harris. "algorithm." In Encyclopedia of Operations Research and Management Science. Springer US, 2001. http://dx.doi.org/10.1007/1-4020-0611-x_931.

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Kasana, Harvir Singh, and Krishna Dev Kumar. "The Simplex Algorithm." In Introductory Operations Research. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-662-08011-5_3.

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LaPierre, Ray. "Grover Algorithm." In The Materials Research Society Series. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-69318-3_12.

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LaPierre, Ray. "Deutsch Algorithm." In The Materials Research Society Series. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-69318-3_11.

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Conference papers on the topic "Research algorithm"

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Wang, Haoyu, Yu Hai, Junjie Wu, Wei Pu, and Anle Wang. "Microwave Photonic ISAR Imaging Algorithm Based on Improved TSPN-TV-ADMM Algorithm." In 2024 Photonics & Electromagnetics Research Symposium (PIERS). IEEE, 2024. http://dx.doi.org/10.1109/piers62282.2024.10618618.

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Yang, liu, Yang Fan, and Tian Huijuan. "Research on the research on national secret eligibility of differential storage stores based on the railway industry." In 4th International Conference on Automation Control. Algorithm and Intelligent Bionics, edited by Jing Na and Shuping He. SPIE, 2024. http://dx.doi.org/10.1117/12.3040288.

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Murukesh, Aadhithya, and R. Logeshwari. "Rock, Paper and Scissor Using AI- Random Forest Algorithm." In International Research Conference on IOT, Cloud and Data Science. Trans Tech Publications Ltd, 2023. http://dx.doi.org/10.4028/p-udj0cq.

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Rock, paper, scissors (RPS) is a game of crucial decision-making that can be used to test various learning algorithms due to its simplicity. Random Forest is a Rock Paper Scissors Agent that makes predictions using the Random Forest Classification with a bit of random. The randomness on this agent has been limited only while losing (and partially due to window length), displaying the algorithm's true potential. A simulation of various AI agents is developed to compare and analyze against the Random forest algorithm.
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Willey, C. L., and A. T. Juhl. "Numerical Investigation of Relative Array Element Localization Algorithm for Enabling Imaging from Flexible Ultrasonic Arrays." In ASNT Research Symposium 2023. The American Society for Nondestructive Testing Inc., 2023. http://dx.doi.org/10.32548/rs.2023.066.

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Array element locations are a necessary input for ultrasonic imaging algorithms. This effort studies a recently developed algorithm that determines the relative array element locations of a flexible ultrasound array applied to a non-flat surface. A numerical investigation of the optimization-based method for determining relative array element locations compares the actual locations of the elements to those determined by the algorithm, and images produced with the actual element locations versus those estimated by the algorithm. The algorithm performance is evaluated in two example regions with
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Kumara, Y. V. A. C., and C. B. Wavegedara. "Improved LDPC decoding algorithms based on min-sum algorithm." In 2016 Moratuwa Engineering Research Conference (MERCon). IEEE, 2016. http://dx.doi.org/10.1109/mercon.2016.7480124.

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Guo, Peitao, Zhihong Xi, Guanhua Wang, Fenghao Zheng, and Kexin Zhang. "Multidomain A* algorithm research." In 3rd International Conference on Algorithms, Microchips and Network Applications (AMNA 2024), edited by Joan Lu and Reggie Davidrajuh. SPIE, 2024. http://dx.doi.org/10.1117/12.3031937.

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Wang, Yuanli, Bibo Luo, and Di Luo. "Research on IPACT Algorithm." In 2010 2nd International Workshop on Intelligent Systems and Applications (ISA). IEEE, 2010. http://dx.doi.org/10.1109/iwisa.2010.5473498.

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Wang, Rui, Jinguo Wang, and Na Wang. "Research on clustering algorithm." In 2016 International Conference on Engineering and Advanced Technology (ICEAT 2016). Atlantis Press, 2017. http://dx.doi.org/10.2991/iceat-16.2017.4.

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Klobas, Nina, and Matjaž Krnc. "Fast Recognition of Some Parametric Graph Families." In 7th Student Computer Science Research Conference. University of Maribor Press, 2021. http://dx.doi.org/10.18690/978-961-286-516-0.7.

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Recognizing graphs with high level of symmetries is hard in general, and usually requires additional structural understanding. In this paper we study a particular graph parameter and motivate its usage by devising eÿcient recognition algorithm for the family of I-graphs. For integers m a simple graph is cycle regular if every path of length ` belongs to exactly cycles of length m. We identify all cycle regular I-graphs and, as a conse-quence, describe linear recognition algorithm for the observed family. Similar procedure can be used to devise the recog-nition algorithms for Double generalized
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Ma, Ning, and Jianhe Guan. "Research on AHP decision algorithms based on BP algorithm." In 2ND INTERNATIONAL CONFERENCE ON MATERIALS SCIENCE, RESOURCE AND ENVIRONMENTAL ENGINEERING (MSREE 2017). Author(s), 2017. http://dx.doi.org/10.1063/1.5005288.

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Reports on the topic "Research algorithm"

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Suh, Jinwoo, Stephen P. Crago, Karandeep Singh, and Janice O. McMahon. Algorithm Classes for Architecture Research (ACAR). Defense Technical Information Center, 2010. http://dx.doi.org/10.21236/ada533801.

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Fadieieva, Liliia O., and Pavlo V. Merzlykin. The avalanche criterion satisfaction research of the turmite-based cryptographic algorithm. [б. в.], 2018. http://dx.doi.org/10.31812/123456789/2887.

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Tipton, Kelley, Brian F. Leas, Emilia Flores, et al. Impact of Healthcare Algorithms on Racial and Ethnic Disparities in Health and Healthcare. Agency for Healthcare Research and Quality (AHRQ), 2023. http://dx.doi.org/10.23970/ahrqepccer268.

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Objectives. To examine the evidence on whether and how healthcare algorithms (including algorithm-informed decision tools) exacerbate, perpetuate, or reduce racial and ethnic disparities in access to healthcare, quality of care, and health outcomes, and examine strategies that mitigate racial and ethnic bias in the development and use of algorithms. Data sources. We searched published and grey literature for relevant studies published between January 2011 and February 2023. Based on expert guidance, we determined that earlier articles are unlikely to reflect current algorithms. We also hand-se
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Damasio, Hanna. Collaborative Research Developing, Testing and Validating Brain Alignment Algorithm using Geometric Analysis. Defense Technical Information Center, 2013. http://dx.doi.org/10.21236/ada594406.

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Chou, Fu-Mao. An Algorithm-Level Test Bed for Level-One Data Fusion Research (CASE-ATTI). Defense Technical Information Center, 2001. http://dx.doi.org/10.21236/ada387790.

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Cordeiro de Amorim, Renato. A survey on feature weighting based K-Means algorithms. Web of Open Science, 2020. http://dx.doi.org/10.37686/ser.v1i2.79.

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In a real-world data set there is always the possibility, rather high in our opinion, that different features may have different degrees of relevance. Most machine learning algorithms deal with this fact by either selecting or deselecting features in the data preprocessing phase. However, we maintain that even among relevant features there may be different degrees of relevance, and this should be taken into account during the clustering process. With over 50 years of history, K-Means is arguably the most popular partitional clustering algorithm there is. The first K-Means based clustering algo
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Li, Yan, Yuhao Luo, and Xin Lu. PHEV Energy Management Optimization Based on Multi-Island Genetic Algorithm. SAE International, 2022. http://dx.doi.org/10.4271/2022-01-0739.

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The plug-in hybrid electric vehicle (PHEV) gradually moves into the mainstream market with its excellent power and energy consumption control, and has become the research target of many researchers. The energy management strategy of plug-in hybrid vehicles is more complicated than conventional gasoline vehicles. Therefore, there are still many problems to be solved in terms of power source distribution and energy saving and emission reduction. This research proposes a new solution and realizes it through simulation optimization, which improves the energy consumption and emission problems of PH
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LVOVICH, Ya, A. PREOBRAZHENSKIY, and Yu PREOBRAZHENSKIY. ANALYSIS OF TRANSPORT SYSTEM MANAGEMENT CAPABILITIES. Science and Innovation Center Publishing House, 2022. http://dx.doi.org/10.12731/2070-7568-2022-11-1-4-44-53.

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The paper discusses the task related to the management of the transport system. The possibilities of securing orders are shown. An algorithm for evaluating work at the stages of marketing research is given.
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Lewis, Dustin, ed. A Compilation of Materials Apparently Reflective of States’ Views on International Legal Issues pertaining to the Use of Algorithmic and Data-reliant Socio-technical Systems in Armed Conflict. Harvard Law School Program on International Law and Armed Conflict, 2020. http://dx.doi.org/10.54813/cawz3627.

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This document is a compilation of materials that at least appear to be reflective of one or more states’ views on international legal issues pertaining to the actual or possible use of algorithmic and data-reliant socio-technical systems in armed conflict. In September of 2018, the Harvard Law School Program on International Law and Armed Conflict (HLS PILAC) commenced a project titled “International Legal and Policy Dimensions of War Algorithms: Enduring and Emerging Concerns.”[1] The project builds on the program’s earlier research and policy initiative on war-algorithm accountability. A goa
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Borgwardt, Stefan, Walter Forkel, and Alisa Kovtunova. Finding New Diamonds: Temporal Minimal-World Query Answering over Sparse ABoxes. Technische Universität Dresden, 2019. http://dx.doi.org/10.25368/2023.223.

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Lightweight temporal ontology languages have become a very active field of research in recent years. Many real-world applications, like processing electronic health records (EHRs), inherently contain a temporal dimension, and require efficient reasoning algorithms. Moreover, since medical data is not recorded on a regular basis, reasoners must deal with sparse data with potentially large temporal gaps. In this paper, we introduce a temporal extension of the tractable language ELH⊥, which features a new class of convex diamond operators that can be used to bridge temporal gaps. We develop a com
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