Geographic Information System for Mapping Accommodation Locations in Lhokseumawe City Using the AHP Method and Dijkstra's Algorithm by Aldi Wahdana, Nurdin, Sujacka Retno

“…This study aims to develop a web-based Geographic Information System (GIS) to provide recommendations for the best accommodation and the fastest route to the accommodation location in Lhokseumawe City. …”
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Sentiment Analysis of 'Free Lunch for Children' Policy on Social Media X Using Random Forest Algorithm by Anies Anies, Muhammad Ikhsan

“…The free lunch program proposed by Prabowo Subianto and Gibran Rakabuming Raka aims to improve the nutritional quality of school children while driving the national economy. …”
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Enhanced security for IoT cloud environments using EfficientNet and enhanced football team training algorithm by Jian Cui, Lan Shi, Ahmed Alkhayyat

“…This paper introduces an innovative approach to intrusion detection that integrates EfficientNet with a newly refined metaheuristic known as the Enhanced Football Team Training Algorithm (EFTTA). The proposed EfficientNet/EFTTA model aims to identify anomalies and intrusions in IoT-cloud environments with enhanced accuracy and efficiency. …”
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The Accuracy of ADC Measurements in Liver Is Improved by a Tailored and Computationally Efficient Local-Rigid Registration Algorithm. by Hossein Ragheb, Neil A Thacker, Jean-Marie Guyader, Stefan Klein, Nandita M deSouza, Alan Jackson

“…Two motion correction methods are compared, one based on non-rigid registration (NRA) using freely available open source algorithms and the other a local-rigid registration (LRA) specifically designed for use with diffusion weighted magnetic resonance (DW-MR) data. …”
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Application of Decision Tree Algorithm in Determining the Quality of Processed Coffee Based on Consumer Preferences at Beskabean Coffee by M Arief Rahman

“…This research aims to apply the Decision Tree algorithm in determining the quality of processed Beskabean coffee based on consumer preferences. …”
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Research on the speed fluctuation control of diesel engine under load changes via an improved sparrow algorithm. by Jun Fu, Luchen Lin, Shuo Gu, Han He, Zhenghong Chen

“…This study proposes a fuzzy proportional integral derivative (FPID) control,which is based on an improved sparrow search algorithm(ISSA) with the aim of enhancing the system's adaptability. …”
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HEPSO-SMC: a sliding mode controller optimized by hybrid enhanced particle swarm algorithm for manipulators by Zhongwei Liu, Tianyu Zhang, Sibo Huang, He Wang

“…Abstract Sliding Mode Controller (SMC) is a controller design method used for control systems, aimed at achieving robust and stable control of systems. …”
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Development of load constant current model using feedback‐controlling resonant switching algorithm for overload protection by Hsiung‐Cheng Lin, Kai‐Chun Hsiao

“…To resolve this problem, the proposed feedback‐controlling resonant switching algorithm aims to provide an expected load constant current to protect the load from overload without sacrifice for a normal load operation. …”
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The Legal Issue of Deterrence of Algorithmic Control of Digital Platforms: The Experience of China, the European Union, Russia and India by Yu. Kharitonova, N. S. Malik, T. Yang

“…The authorities in a number of states are concerned about the need for public disclosure of the recommendation algorithms that are used in online services. The introduction of regulations aimed at software developers is frequently proposed as a potential solution to this problem of algorithm transparency. …”
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Multiclass Sentiment Analysis of Electric Vehicle Incentive Policies Using IndoBERT and DeBERTa Algorithms by Muhammad Bayu Nugroho, Akhmad Khanif Zyen, Nur Aeni Widiastuti

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A Tabu Search-Based Algorithm for Airport Gate Assignment: A Case Study in Kunming, China by Jun Bi, Zhen Wu, Lei Wang, Dongfan Xie, Xiaomei Zhao

“…A tabu search-based algorithm is designed to solve the problem. In the process of algorithm design, an effective initial solution is obtained. …”
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Improving and simulating urban landscape image recognition using combination optimization and fuzzy K-means algorithm by Lihua Yang, Yuhui Zheng

“…It has proven highly effective in detecting and classifying mixed-use urban zones, delivering greater accuracy in recognition tasks than traditional clustering algorithms.…”
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IoT-enhanced music therapy: Utilizing genetic algorithms for personalized violin instruction and mental health adjustment by Yuan Wang

“…On the other hand, a genetic algorithm is an intelligent tool that reveals patterns in this information and identifies hidden relationships between instructional variables and the student’s mental health. …”
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Reducing Execution Time of Pixel-Based Machine Learning Classification Algorithms Using Parallel Processing Concept by Aliaa Mahmoud, Mohammed Younis

“…Parallel processing is essential in machine learning to meet the computational requirements resulting from the complexity of algorithms and the size of the dataset, by taking advantage of the computational resources of parallel processing that can distribute computational operations across multiple processors. …”
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Performance Analysis of Battery State Prediction Based on Improved Transformer and Time Delay Second Estimation Algorithm by Bo Gao, Xiangjun Li, Fang Guo, Xiping Wang

“…Innovative particle filter algorithms were proposed to handle the nonlinearity, uncertainty, and dynamic changes in predicting remaining battery life. …”
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Simulation of direct mapped, k-way and fully associative cache on all pairs shortest paths algorithms by A. A. Prihozhy

“…The miss rate strongly depends on the executed algorithm. The all pairs shortest paths algorithms solve many practical problems, and it is important to know what algorithm and what cache type match best. …”
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Random Reflectance: A New Hyperspectral Data Preprocessing Method for Improving the Accuracy of Machine Learning Algorithms by Pavel A. Dmitriev, Anastasiya A. Dmitrieva, Boris L. Kozlovsky

“…The GB algorithm exhibited a similar trend: 6.5% in 2021, 13.2% in 2022, 16.5% in 2023 and 17.4% in 2024. …”
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Comparative analysis of machine learning algorithms for predicting tibial intramedullary nail length from patient characteristics by Yujian Hui, Hengda Hu, Jinghua Xiang, Xingye Du

“…Abstract Objective This study aimed to evaluate the performance of five machine learning algorithms in predicting tibial intramedullary nail length using patient demographic data (gender, height, age, and weight), with the goal of developing a clinically relevant and accurate predictive model. …”
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Algorithm for Assessing the Characteristics of a Waveguide Slot Antenna Array when Changing Antenna Element Phasing by A. F. Kryachko, N. A. Gladky, M. R. Bibarsov, B. A. Ayukov

“…Calculations were carried out using a PC and the Mathcad 15 applied mathematics package.Results. An algorithm for statistical modeling of the impact of PS failures on WSPAA characteristics is proposed. …”
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Examining the Impact of Distance-Based Similarity Metrics on the Performance of Projected Clustering Algorithm for Fingerprint Database Clustering by Abdulmalik Shehu Yaro, Filip Maly, Pavel Prazak, Karel Maly

“…The projected clustering (PROCLUS) algorithm is a subspace clustering algorithm based on the k-medoids clustering approach. …”
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