Combining Smartphone Inertial Sensors and Machine Learning Algorithms to Estimate Power Variables in Standing Long Jump by Beatrice De Lazzari, Giuseppe Vannozzi, Valentina Camomilla

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A Novel Algorithm for Estimating the Sand Dune Density of the Taklimakan Desert Based on Remote Sensing Data by Mingyu Wang, Yongqiang Liu, Huoqing Li, Minzhong Wang, Wen Huo, Zonghui Liu

“…The average absolute error and root mean square error are calculated as 25.61 n/km² and 30.48 n/km², respectively. (2) The distribution of dune density across the eastern, northeastern, southern, and western parts of the Taklimakan Desert is relatively lower, while there is higher dune density in the central and northern areas. (3) The observation data constructed using the improved YOLOv8s algorithm and remote sensing imagery effectively validate the estimation results of dune density. …”
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First-principle modeling of parallel-flow regenerative kilns and their optimization with genetic algorithm and gradient-based method by Michael Kreitmeir, Bruno Villela Pedras Lago, Ladislaus Schoenfeld, Sebastian Rehfeldt, Harald Klein

“…Finally, we use a genetic algorithm to optimize the feed mass flows such that the conversion and the fuel efficiency are improved in a Pareto-optimal manner. …”
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Accuracy of cephalometric landmark and cephalometric analysis from lateral facial photograph by using CNN-based algorithm by Yui Shimamura, Chie Tachiki, Kaisei Takahashi, Satoru Matsunaga, Takashi Takaki, Masafumi Hagiwara, Yasushi Nishii

“…The landmarks were estimated from the input of lateral facial photographs as training data using trained CNN-based algorithms. The success detection rate (SDR) was calculated based on the mean radial error (MRE) of the distance between the estimated and actual coordinates. …”
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Design of a logistics warehouse robot positioning and recognition model based on improved EKF and calibration algorithm by Yunbo Wang, Chao Ye

“…The tray fusion detection algorithm's AUC (area under the curve) reached 0.92, reflecting a balanced accuracy-recall tradeoff. …”
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GCS-YOLO: A Lightweight Detection Algorithm for Grape Leaf Diseases Based on Improved YOLOv8 by Qiang Hu, Yunhua Zhang

“…Cross-scale shared convolution parameters and separated batch normalization techniques are used to optimize the detection head, achieving a lightweight design and improving the detection efficiency of the algorithm. Experimental results indicate that the improved model has a number of parameters and computational load of 1.63 M and 4.5 G, respectively, with a mean average precision (mAP@0.5) of 96.2% and a model size of only 3.5 MB. …”
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Canola Yield Estimation Using Remotely Sensed Images and M5P Model Tree Algorithm by Ileana De los Ángeles Fallas Calderón, Muditha K. Heenkenda, Tarlok S. Sahota, Laura Segura Serrano

“…The model’s prediction accuracy was high, with a correlation coefficient (r) of 0.78 and a mean squared error of 7.2 kg/ha compared to field samples. …”
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Application of M5 algorithm of decision tree in simulation and investigation of effective factors of erosion in rangelands and forests by Hatem Ghaleb Maabreh, Khlood Waheeb, Abrar Ryadh, Saja Basheer Abdulghani, Zainab Jamal Hamoodah, Nisreen Yasir Jasim, Fakhri Alajeeli, Ali H. O. Al Mansor, Mikhail Andreevich

“…The aim of this paper was to identify the factors affecting interrill erosion using the M5 algorithm of decision tree in four different regions. …”
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A new modified incomprehensible but intelligible-in-time logics algorithm for modeling solid oxide fuel cell by Shahr Alshahr, Fatma A. Hashim, Ahmed Alshahir, Ahmed Fathy, Hegazy Rezk

“…Abstract This work suggests a new modified incomprehensible but intelligible-in-time logics algorithm with random contraction strategy (RCS) in exploration phase in addition to new exploitation phase (REILA). …”
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Abstract 035: Workflow Improvements from Automated LVO Detection Algorithms Are Dependent on Care Team Engagement by Hussain M Azeem

“…Introduction Automated machine learning (ML)‐based large vessel occlusion (LVO) detection algorithms have been shown to improve in‐hospital workflow metrics including door to groin time (DTG). …”
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Detection of vehicles and analysis of traffic volume by real-time video-graphic technique using python algorithm by Osman Kantunsung Ramadan, R. Srinivasa Kumar, A. Narender Reddy

“…First, followed by data acquisition of traffic videos, is the methodology implemented through five consecutive procedural steps, including algorithm development, system testing, and data exportation before manual vehicle count validation. …”
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DOA Estimation by Feature Extraction Based on Parallel Deep Neural Networks and MRMR Feature Selection Algorithm by Ashwaq Neaman Hassan Al-Tameemi, Mahmood Mohassel Feghhi, Behzad Mozaffari Tazehkand

“…The performance of the proposed model is evaluated by conducting a wide range of experiments on uncorrelated narrowband data with different scenarios and based on the root mean square error (RMSE) coefficient. The results by computer simulations on a uniform linear array show that the proposed structure significantly increases the accuracy of DOA estimation and is more robust to changes in input parameters than traditional algorithms, such as estimation of signal parameters via invariant rotation (ESPRIT), classification of multiple signals (MUSIC), and DNN method. …”
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Optimizing PV Panel Segmentation in Complex Environments Using Pre-Training and Simulated Annealing Algorithm: The JSWPVI by Rui Zhang, Ruikai Hong, Qiannan Li, Xu He, Age Shama, Jichao Lv, Renzhe Wu

“…Finally, a guided filtering algorithm is used to minimize non-edge noise while preserving edge integrity. …”
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Comprehensive Analysis of Trends in Ocean Surface Current by Delineating Kuroshio Extent Using an Optimized Segmentation Algorithm by Mohammed Abdul Athick A.S., Shih-Yu Lee, Chian-Yi Liu

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Developing a near-infrared spectroscopy calibration algorithm for soil organic carbon content in South Africa by Willie Herman Cloete, Gerhard du Preez, George Munnik Van Zijl

“…Sixty NIR calibration algorithms were developed on a regional scale. The impact of methodological parameters, such as sample state, sampling design, processing and machine learning models, on the root mean square error (RMSE) of the validation statistics was also assessed. …”
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An efficient algorithm for pedestrian fall detection in various image degradation scenarios based on YOLOv8n by Jianhui Xun, Xuefeng Wang, Xiufang Wang, Xiaoliang Fan, Peishuai Yang, Zhifei Zhang

“…PCE-YOLO improved the mean Average Precision (mAP) by 4.52% compared to YOLOv8n on both original and degraded datasets, respectively. …”
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Early diagnosis of Alzheimer’s disease and mild cognitive impairment using MRI analysis and machine learning algorithms by Helia Givian, Jean-Paul Calbimonte, and for the Alzheimer’s Disease Neuroimaging Initiative

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PM2.5 concentration prediction using machine learning algorithms: an approach to virtual monitoring stations by Ahmad Makhdoomi, Maryam Sarkhosh, Somayyeh Ziaei

“…The results presented that among the four ML algorithms, GBR confirmed good model performance compared to the other models, with the lowest MSE (5.33) and RMSE (2.31), as well as high accuracy measures. …”
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Improved Polar Current Shell Algorithm for Ocean Current Retrieval from X-Band Radar Data by Yi Li, Zhiding Yang, Weimin Huang

“…This paper presents an improved algorithm for retrieving ocean surface currents from X-band marine radar images. …”
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A Cloud Vertical Structure Optimization Algorithm Combining FY-4A and DSCOVR Satellite Data by Zhuowen Zheng, Jie Yang, Taotao Lv, Yulu Yi, Zhiyong Lin, Jiaxin Dong, Siwei Li

“…Although passive remote sensing offers broad coverage and high temporal resolution, sensor and algorithmic limitations impede the accurate depiction of cloud vertical profiles. …”
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