Analyzing the customer purchase data of an online shopping store by data mining: A real case study in Iran by Nima Moradi, Mosayeb Jalilian

“…The results show that before balancing the dataset, the KNN algorithm with K=5 is the best classification method among the existing methods. …”
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Adaptive sensing scheme using naive Bayes classification for environment monitoring with drone by Yao-Hua Ho, Yu-Te Huang, Hao-Hua Chu, Ling-Jyh Chen

“…In this article, we extend the adaptive return-to-home sensing algorithm with a parameter-tuning algorithm that combines naive Bayes classification and binary search to adapt adaptive return-to-home sensing parameters effectively on the fly. …”
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Implementation of Doodle Jump Game Based on Accelerometer Sensor and Kalman Filter by Edghar Danuwijaya, Yohanes Armenian Putra, Hilal Hudan Nuha, Ikke Dian Oktaviani

“…The method used to use this filter is the Kalman Filter algorithm. The use of the Kalman Filter method can provide a stable level of accuracy in the movements of the main characters in the game and the accelerometer sensor so that it can become a precise algorithm. …”
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Web-of-Objects Based User-Centric Semantic Service Composition Methodology in the Internet of Things by Safina Showkat Ara, Zia Ush Shamszaman, Ilyoung Chong

“…In the proposed semantic based service composition approach, virtual object and composite virtual object are the key entity; this class of objects allows composing services from heterogeneous objects by following a service composition algorithm. This algorithm creates composite service along with the semantic description of that service. …”
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Animated mesh simplification based on motion features in visual sensor networks by Hongjie Yang, Fan Zhou, Ge Lin, Mouguang Lin, Shujin Lin

“…As three-dimensional animated mesh is time-varying in all frames, the trade-off between the temporal coherence and geometric distortion must be considered to develop simplification algorithm. In this article, a novel three-dimensional animated mesh simplification algorithm based on motion features is presented. …”
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Estimating the Concrete Compressive Strength Using Hard Clustering and Fuzzy Clustering Based Regression Techniques by Naresh Kumar Nagwani, Shirish V. Deo

“…It is found from experiments that clustering along with regression techniques gives minimum errors for predicting compressive strength of concrete; also fuzzy clustering algorithm C-means performs better than K-means algorithm.…”
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Quantitative Nondestructive Testing of Wire Ropes Based on Features Fusion of Magnetic Image and Infrared Image by Shiliang Lu, Juwei Zhang

“…The fusion feature is input into the nearest neighbor (NN) algorithm for quantitative identification, and the same data are input into the backpropagation (BP) neural network for comparison verification. …”
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Subpixel Mapping Method of Hyperspectral Images Based on Modified Binary Quantum Particle Swarm Optimization by Shuhan Chen, Xiaorun Li, Liaoying Zhao

“…Existing methods based on linear optimization encounter the premature and local convergence of the optimization algorithm. This paper proposes a subpixel mapping method based on modified binary quantum particle swarm optimization (MBQPSO) to solve the above issues. …”
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Characteristics Analysis and Equilibrium Optimization of Mixed Traffic Flow considering Connected Automated and Human-Driven Vehicles by Zhaoming Zhou, Jianbo Yuan, Shengmin Zhou, Qiong Long, Jianrong Cai, Lei Zhang

“…Meanwhile, the mixed equilibrium flow state is explored under the premise of given market penetration to verify the feasibility of the model and algorithm.…”
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Determining The Ripeness Level Of Crystal Guava Fruit Using Backpropagation Neural Network by Shofia Nabila Azzahra, Ahmad Kamsyakawuni, Abduh Riski

“…This research uses the HSI colour space as an interpretation of fruit image characteristics and uses the Backpropagation algorithm to perform classification. This study utilizes image data of crystal guava fruit, categorizing them into four stages of ripeness: unripe, half-ripe, ripe, and very ripe. …”
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Fusion-Learning-Based Optimization: A Modified Metaheuristic Method for Lightweight High-Performance Concrete Design by Ghodrat Rahchamani, Seyed Mojtaba Movahedifar, Amin Honarbakhsh

“…We also collected a standard dataset to analyze the proposed algorithm, and subsequently, the dataset was designed from concrete laboratory tests on 244 samples, seven features, and three outputs. …”
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A New Multiphase Soft Segmentation with Adaptive Variants by Hongyuan Wang, Fuhua Chen, Yunmei Chen

“…Second, we develop a bidirection projected primal dual hybrid gradient (PDHG) algorithm for iterations of membership functions. Third, we also develop a novel algorithm for explicitly computing the projection from RK to simplex ΔK-1 for any dimension K using dual theory, which is more efficient in both coding and implementation than existing projection methods.…”
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A Decision-Making Model for Self-Driving Vehicles Based on Overtaking Frequency by Mengyuan Huang, Shiwu Li, Mengzhu Guo, Lihong Han

“…First, a self-driving vehicle and surrounding vehicles are compared in terms of the overtaking frequency (OTF), and an OTF-based driving state evaluation algorithm is proposed considering the future driving efficiency. …”
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A Fast Imaging Technique Applied to 2D Electrical Resistivity Data by Raffaele Martorana, Patrizia Capizzi

“…In the past some modifications to the back-projection algorithm, as well as the use of filtering techniques for the sensitivity matrix were proposed. …”
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Application in Feature Extraction of AE Signal for Rolling Bearing in EEMD and Cloud Similarity Measurement by Long Han, Chengwei Li, Liqun Shen

“…Due to the powerful ability of EEMD algorithm in noising, it is usually applied to feature extraction of fault signal of rolling bearing. …”
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Forest Fire Smoke Video Detection Using Spatiotemporal and Dynamic Texture Features by Yaqin Zhao, Zhong Zhou, Mingming Xu

“…The performance of smoke video detection algorithm is often influenced by some smoke-like objects such as heavy fog. …”
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In the Search of Fundamental Inner Bond Strength of Solid Elements by Maziar Sahba Yaghmaee, Reza Riahifar

“…Therefore, in order to study the effect of the nature of metallic bond on their physico-chemical properties, we first tried to investigate and introduce a mathematical model for transforming the bulk molar cohesion energy into microscopic bond strengths between atoms. Then an algorithm for estimating the nature of bond type including the materials properties and lattice scale “cutoff” has been proposed. …”
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A hybrid Harris Hawks Optimization with Support Vector Regression for air quality forecasting by Essam H. Houssein, Meran Mohamed, Eman M. G. Younis, Waleed M. Mohamed

“…Additionally, we contrast our methodology with recently created models that have been published in the literature, such as the Grey Wolf Optimizer (GWO), Salp Swarm Algorithm (SSA), Henry Gas Solubility Optimization (HGSO), Barnacles Mating Optimizer (BMO), Whale Optimization Algorithm (WOA), and Manta Ray Foraging Optimization (MRFO). …”
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Application of Surface Roughness Analysis on Micro–Computed Tomographic Images of Bone Erosion: Examples Using a Rodent Model of Rheumatoid Arthritis by Matthew D. Silva, Jason Ruan, Elizabeth Siebert, Anneli Savinainen, Bruce Jaffee, Lisa Schopf, Sudeep Chandra

“…The main advantage of such an algorithm is demonstrated in the preclinical drug study of rat CIA with methotrexate treatment, indicating the immediate utility of this approach in drug development studies.…”
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Squat Motion of a Humanoid Robot Using Three-Particle Model Predictive Control and Whole-Body Control by Hongxiang Chen, Xiuli Zhang, Mingguo Zhao

“…TP-MPC is utilized to optimize the rough planning’s reference trajectory, while WBC is employed to follow the optimized trajectory. The algorithm is tested through simulations of a humanoid robot performing continuous squatting motions. …”
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