The System Research and Implementation for Autorecognition of the Ship Draft via the UAV by Wei Zhan, Shengbing Hong, Yong Sun, Chenguang Zhu

“…This method is a kind of artificial intelligence method with safe measurement process, high measurement effect, and accuracy, providing a new idea for related research.…”
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Dye-cleaning prediction with a variant of nature-inspired algorithms coupled with extreme gradient boosting by Tiyasha Tiyasha, Chijioke Elijah Onu, Mohamed A. Ismail, Rama Rao Karri, Abdelfattah Amari, Vinay Kumar, Suraj Kumar Bhagat

“…Abstract This research proposes the use of hybrid machine learning methods to mimic dye removal efficiency. …”
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APPLICATION OF MARKET BASKET ANALYSIS ON HAJI UMAR STORE’S SALES DATA USING THE APRIORI ALGORITHM by Salsabilla Sadedin Nasution, Aninda Muliani Harahap, Adnan Buyung Nasution

“…This study aims to support an MSME, namely Haji Umar Store, in preparing for growing market demands and enhancing its marketing capabilities through the development of a website-based Sales Information System integrated with a Product Recommendation Feature. The research employs a Research and Development (R&D) approach to create a website as the primary product. …”
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A Fast Logdet Divergence Based Metric Learning Algorithm for Large Data Sets Classification by Jiangyuan Mei, Jian Hou, Jicheng Chen, Hamid Reza Karimi

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Meta-heuristics meet sports: a systematic review from the viewpoint of nature inspired algorithms by Ariyaratne M.K.A., Silva R.M.

“…We identified team selection, optimal lineups, sports equipment optimization, scheduling and ranking, performance analysis, predictions in sports, and player tracking as seven major categories where meta-heuristics were implemented in research in sports. Some of our findings include (a) genetic algorithm and particle swarm optimization have been extensively used in the literature, (b) meta-heuristics have been widely applied in the sports of cricket and soccer, (c) the limitations and challenges of using meta-heuristics in sports. …”
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Development and Comparison of Interrupt-Based and Analog-to-Digital Converter Algorithms for Seed Counting in Precision Planters by A. Ghaffarnezhad, H. Navid, H. Karimi

“…In response to these challenges, researchers are actively exploring various solutions, employing diverse approaches such as the development of different algorithms and the utilization of alternative hardware configurations. …”
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A Two-Criteria Weather Routing Method Based on Neural Network and A-star Algorithm by Khanh Huu Doan, Anh-Tuan Dinh

“…Test results show that the proposed algorithm operates reliably and has low errors. This research can be applied to find the optimal routes for small and medium-sized ships in Vietnam before each voyage at a low cost instead of using high-cost weather routing services.…”
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Novel Node Localization Algorithm Based on Nonlinear Weighting Least Square for Wireless Sensor Networks by Fu Xiao, Mingtan Wu, Haiping Huang, Ruchuan Wang, Sudan Wang

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An intelligence technique for route distance minimization to store and marketize the crop using computational optimization algorithms by Saikat Banerjee, Abhoy Chand Mondal

“…The traveling salesperson problem is a well-known algorithmic issue in computer science and operations research, explicitly emphasizing optimization. …”
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Developing an Algorithm for Detecting Suspicious Trades in Tehran Stock Exchange Based on Spoof Trading Model by Reza Tehrani, Saeed Fallahpour, Hamid Nouralidokht

“…Thoughtful and accurate manipulation techniques adopted by manipulators may not easily be detected. This research examines stock price manipulation in Tehran Stock Exchange and addresses the identification and detection of stock price manipulation by mathematical algorithm (spoof trading). …”
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Optimized Wavelet Transform for the Development of an Algorithm Designed for the Analysis of Digital Substation Electrical Equipment Parameters by Alexander S. Efimov, Stanislav A. Eroshenko, Pavel V. Matrenin, Vladislav V. Popovtsev

“…This research focuses on digital substations with Architecture III and aims to develop an algorithm for processing digital substation data through an appropriate mathematical tool for time-series analysis. …”
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Denoising of Inflow of Pingzhai Reservoir Based on Fusion Algorithm of Wavelet Transform and Savitzky-Golay Filter by GAO Lin, SONG Jinwei, LI Zuoxiao

“…In response to abnormal fluctuations of water flow in the shape of a "sawtooth" in the reverse inference of water balance, a wavelet transform Savitzky-Golay filter fusion algorithm was proposed. The algorithm first performed wavelet decomposition and threshold denoising preprocessing on the research data by setting different parameter combinations. …”
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Denoising of Inflow of Pingzhai Reservoir Based on Fusion Algorithm of Wavelet Transform and Savitzky-Golay Filter by GAO Lin, SONG Jinwei, LI Zuoxiao

“…In response to abnormal fluctuations of water flow in the shape of a "sawtooth" in the reverse inference of water balance, a wavelet transform Savitzky-Golay filter fusion algorithm was proposed. The algorithm first performed wavelet decomposition and threshold denoising preprocessing on the research data by setting different parameter combinations. …”
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A Hybrid Optimization Framework for Dynamic Drone Networks: Integrating Genetic Algorithms with Reinforcement Learning by Mustafa Ulaş, Anıl Sezgin, Aytuğ Boyacı

“…This paper proposes a hybrid optimization framework combining genetic algorithms and reinforcement learning (RL) to improve the deployment of drone networks. …”
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CABLE NEWS NETWORK (CNN) ARTICLES CLASSIFICATION USING RANDOM FOREST ALGORITHM WITH HYPERPARAMETER OPTIMIZATION by Dewi Retno Sari Saputro, Krisna Sidiq

“…Random forest is proper to apply to the data because the algorithm works very well on large amounts of data. …”
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Smart Product Recommendations in Web E-Commerce: Leveraging Apriori Algorithm for Market Basket Analysis by Hendra Hendra, Aditiya Hermawan, Edy Edy

“…The apriori algorithm is applied to generate association rules, and the Lift Ratio parameter is used to evaluate the strength of these rules. …”
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Application of Optimal Scheduling Model Based on Improved Genetic Algorithm in Electric Power Mobile Operation by Rui Fan, Huiying Jing, Zhixin Jing

“…In the task assignment of the model, the total task completion time is shortened by 3 hours, the task assignment of each team is more uniform, and the path planning of each team is more reasonable. The research utilizes a genetic algorithm to intelligently schedule human resources, automating the scheduling process and achieving the lowest cost for completing the work.…”
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Appraising the Pile Settlement Rates by Support Vector Regression Optimized Using the Novel Optimization Algorithms by Argyros Maris

“…In this regard, the present research has used a machine learning technique: support vector regression (SVR). …”
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An intelligent referee selection approach in martial arts using CoCoSo MCDM algorithm by Tao Zhang

“…The selection process for referees becomes problematic due to unclear evaluation methods, which include decision unpredictability, together with subjective assessment, and qualifications that differ from one another. The research utilizes the CoCoSo multi-criteria decision-making (MCDM) algorithm and interval-valued t-spherical fuzzy sets (IVTSFS) to process referee candidate evaluations with greater accuracy and methodically under uncertain situations. …”
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An Urban Bus Network Generation Algorithm Based on Particle Swarm Optimization and Force Field Properties by Yiming Chen, Yanhong Gu, Zhengdong Huang, Tianhong Zhao, Liangyuan Guo

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