Comparison of Clustering Algorithms: Fuzzy C-Means, K-Means, and DBSCAN for House Classification Based on Specifications and Price by Dhendy Mardiansyah Putra, Ferian Fauzi Abdulloh

“…This study aims to compare the performance of three clustering algorithms, namely Fuzzy C-Means, K-Means, and DBSCAN, in grouping houses based on their specifications and prices. …”
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Tracking algorithm when managing competitive activities of top level teams online based on computer visioncomputer vision by A. A. Polozov, N. A. Maltceva, G. S. Kramarenko, M. A. Lipilin, A. R. Akhmetzyanov

“…The research is based on methods and algorithms for solving management problems in organizational systems.Result. …”
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A cluster based routing for maximizing the lifetime of underwater wireless sensor network using gravitational search algorithm by Shyamsundar R, Harshavarthan M, Shankar Thangavelu

“…The proposed GSA has been compared with competitive meta-heuristic algorithms, including Particle Swarm Optimization, Whale Optimization Algorithm, and Moth Flame Optimizer.…”
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Attribute Reduction in Incomplete Information System based on Rough Set Theory Using Fuzzy Imperialist Competitive Algorithm by Mohammad Ghanei Ostad, Hosein khosravi Mahmoee, Majid Abdolrazzagh Nezhad

“…In this paper, a novel method proposed to solve attribute reduction in incomplete information system based on rough set theory by combining and modifying imperialist competitive algorithm with fuzzy logic. Utilizing the fuzzy logic to control the parameters of the algorithm was useful and generated better solutions compared to its classic draft. …”
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Public Sentiment Analysis on the Boycott Israel Movement on Platform X Using Random Forest and Logistic Regression Algorithms by Rachmayanti Tri Agustin, Yana Cahyana, Kiki Ahmad Baihaqi, Tatang Rohana

“…This research aims to analyze public sentiment toward the boycott movement against Israel on the X platform by applying Random Forest and Logistic Regression algorithms. …”
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Geographical profiling of wood samples via ATR-FTIR spectroscopy and machine learning algorithms: Application in wood forensics by Suraj Garg, Akanksha Sharma, Vishal Sharma

“…This study aims to leverage ATR-FTIR spectroscopy alongside machine learning algorithms to construct a robust model for discerning the geographical origins of wood samples from India. …”
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DCEEMR: A Delay-Constrained Energy Efficient Multicast Routing Algorithm in Cognitive Radio Ad Hoc Networks by Xuna Miao, Miaolei Deng

“…Through an example with random network topology, we demonstrate that our algorithm is better in terms of energy cost of multicast tree as compared to the existing algorithm QoS dependent multicast routing (QDMR). …”
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A Balanced Power Consumption Algorithm Based on Enhanced Parallel Cat Swarm Optimization for Wireless Sensor Network by Lingping Kong, Jeng-Shyang Pan, Pei-Wei Tsai, Snasel Vaclav, Jiun-Huei Ho

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TS-SSA: An improved two-stage sparrow search algorithm for large-scale many-objective optimization problems. by Xiaozhi Du, Kai Chen, Hongyuan Du, Zongbin Qiao

“…This paper proposes an improved sparrow search algorithm (SSA) that manages convergence and diversity separately for solving LSMaOPs, called two-stage sparrow search algorithm (TS-SSA). …”
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Research on projection light field encoding and reconstruction based on parallel camera arrays by Feng Zhang, Xi Wang, Zhou Shi Shi, Chang Pei Ma, Xiao Yu Jiang

“…Abstract This research introduces an advanced projection-based 3D light field reconstruction algorithm, specifically engineered to tackle the limitations of the conventional SPOC algorithm—namely its dependency on a symmetric (circular) framework and dense array image acquisition. …”
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Research on Image Motion Compensation Technology in Vehicle-Mounted Photoelectric Servo System by Mingyang Zhang, Yunjie Teng, Jingyi Fu, Tongyu Liu

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A Novel Approach for Blast-Induced Flyrock Prediction Based on Imperialist Competitive Algorithm and Artificial Neural Network by Aminaton Marto, Mohsen Hajihassani, Danial Jahed Armaghani, Edy Tonnizam Mohamad, Ahmad Mahir Makhtar

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Optimizing Kernel Extreme Learning Machine based on a Enhanced Adaptive Whale Optimization Algorithm for classification task. by ZeSheng Lin

“…Data classification is an important research direction in machine learning. In order to effectively handle extensive datasets, researchers have introduced diverse classification algorithms. …”
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A Novel FECAM-iTransformer Algorithm for Assisting INS/GNSS Navigation System during GNSS Outages by Xinghong Kuang, Biyun Yan

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Design of multi-energy-space-based energy-efficient algorithm in novel software-defined wireless sensor networks by Liao Wenxing, Wu Muqing, Wu Yuewei

“…Based on the novel architecture of software-defined wireless sensor networks and the concept of multi-energy-space, we give a detailed introduction of the main idea of our multi-energy-space-based energy-efficient algorithm. Simulation results show that our proposed algorithm performs better in energy consumption balance and network lifetime extension compared with the typical energy-efficient algorithms in traditional wireless sensor networks.…”
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Estimation and Modeling of Fluctuating Wind Amplitude and Phase Spectrum Using APES Algorithm Based on Field Monitored Data by Dan-hui Dan, Xiang-jie Wang, Xing-fei Yan, Wei Cheng

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A Rapid Convex Programming Method for Air-to-Air Missile Trajectory Based on Improved Trust-Region Algorithm by Zeng Yuwen, Zhang Huijun, Liao Xueyang

“…Through digital simulation experiments, the optimality and convergence of the proposed algorithm and pseudo-spectral method are compared and analyzed. …”
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An Improved Particle Swarm Optimization Algorithm forOptimal Allocation of Distributed Generation Units in Radial Power Systems by Neda Hantash, Tamer Khatib, Maher Khammash

“…An IEEE 34 distribution bus system is used as a case study for this research. A new equation of weight inertia is proposed so as to improve the performance of the PSO conventional algorithm. …”
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Modelling Land-use Changes using MDC, MD and ML Algorithms (Case Study: Midawood-Dalon Watershed) by mojgan entezari, heeva elmizadeh, Mahshid Moavi

“…Aim: This research aims to model land-use changes using the MDC, MD, and ML algorithms technique.Materials & Methods: Landsat 5 and 8 satellite images were used to compare the MDC, MD, and ML algorithms in five classes between 1987 and 2021 and estimate the model's accuracy. …”
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A Probability Integral Parameter Inversion Method Integrating a Selection-Weighted Iterative Robust Genetic Algorithm by Chuang Jiang, Wei Liu, Lei Wang, Xu Zhu, Hao Tan

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