Sitting Posture Detection and Classification Using Machine Learning Algorithms on RapidMiner by Chawakorn Sri-ngernyuang, Prakrankiat Youngkong, Jinpitcha Mamom, Duangruedee Lasuka

“…In this study, a cushion pad with a pressure sensor implanted that can recognize and classify different postures using machine learning techniques is developed and evaluated. …”
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Automated Food Weight and Content Estimation Using Computer Vision and AI Algorithms by Bryan Gonzalez, Gonzalo Garcia, Sergio A. Velastin, Hamid GholamHosseini, Lino Tejeda, Gonzalo Farias

“…An RGB camera is employed to capture the tray delivery process in a self-service restaurant, providing test images for plate counting and content identification algorithm comparison, using standard evaluation metrics. …”
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Machine learning algorithms to detect patient–ventilator asynchrony: a feasibility study by Guillermo Gutierrez, Kendrew Wong, Arun Jose, Jeffrey Williams

“…The accuracy of these algorithms was evaluated based on their ability to correctly identify epochs, and their clinical reliability was assessed by comparing their predictions to those of clinicians with different levels of experience in asynchrony classification. …”
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Geological Stratification Technology Based on Artificial Intelligence Algorithms and Its Application Effects by GAO Yuan, YAO Weihua, CAI Shaofeng, LI Liang, XUE Yuan, ZHAO Peipei, WANG Xiaoyang, WEI Wei

“…Moreover, there are significant differences in stratification among different geological researchers, and the stratification results are unstable. …”
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Research on YOLOv5 Oracle Recognition Algorithm Based on Multi-Module Fusion by Xinhang Zhang, Zhenhua Ma, Yaru Zhang, Huiying Ru

“…The recognition of oracle bone script is of significant importance for understanding the evolution of Chinese characters, their morphological features, and semantic changes. …”
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Effective Estimation of Hourly Global Solar Radiation Using Machine Learning Algorithms by Abdurrahman Burak Guher, Sakir Tasdemir, Bulent Yaniktepe

“…The performance of the estimation models was evaluated by comparing each model with different statistical indicators and with previous studies. …”
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MAF: An algorithm based on multi-agent characteristics for infrared and visible video fusion. by Yandong Liu, Linna Ji, Fengbao Yang, Xiaoming Guo

“…Addressing the limitation of existing infrared and visible video fusion models, which fail to dynamically adjust fusion strategies based on video differences, often resulting in suboptimal or failed outcomes, we propose an infrared and visible video fusion algorithm that leverages the autonomous and flexible characteristics of multi-agent systems. …”
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Network Diffusion Algorithms and Simulators in IoT and Space IoT: A Systematic Review by Charbel Mattar, Jacques Bou Abdo, Jacques Demerjian, Abdallah Makhoul

“…The review focuses on identifying the algorithms and simulators employed, their strengths and limitations, and how their performance is evaluated under different IoT network topologies. …”
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Recognition of Augmented Frontal Face Images Using FFT-PCA/SVD Algorithm by Francis Ayiah-Mensah, Louis Asiedu, Felix O. Mettle, Richard Minkah

“…The statistical evaluation revealed that there exists a significant difference in the average recognition distances for the face images with missingness and augmented face images when FFT-PCA/SVD is used for recognition. …”
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Weighted Energy-Balanced Efficient Routing Algorithm for Wireless Body Area Network by Zhuoming Li, Zhenyu Xu, Shengge Mao, Xing Tong, Xuejun Sha

“…Theoretical analysis and simulation result are demonstrated to evaluate the performance of the algorithm and represent that energy consumption of sensors in the network is reasonably scheduled and life cycle of the network is significantly extended. …”
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Parameter Optimization of MALDI-TOF MS Based on Improved Whale Optimization Algorithm by Yu-peng ZHANG, Yu-gong DANG, Hui-yuan YANG, Zhi-gang ZHOU, Gao-hang JIANG

“…Resolution is an important indicator to evaluate the performance of a mass spectrometer to distinguish ions with different mass-to-charge ratios. …”
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PIR Sensors Deployment with the Accessible Priority in Smart Home Using Genetic Algorithm by Dan Yang, Kaiyou Rao, Bin Xu, Weihua Sheng

“…The performance of the genetic algorithm was evaluated using several metrics, and the simulation results demonstrated that the proposed algorithm can optimize the network coverage in terms of accessible frequency.…”
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Amending the algorithm of aerosol–radiation interactions in WRF-Chem (v4.4) by J. Feng, C. Zhao, C. Zhao, C. Zhao, C. Zhao, C. Zhao, C. Zhao, Q. Du, Z. Yang, C. Jin

“…The impacts of changing this calculation algorithm are then evaluated. The simulation results of aerosol optical properties are quite different using the new Resolved algorithm, especially for dust aerosols. …”
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Quantitative benchmarking of nuclear segmentation algorithms in multiplexed immunofluorescence imaging for translational studies by Abishek Sankaranarayanan, Georgii Khachaturov, Kimberly S. Smythe, Shachi Mittal

“…Pre-trained deep learning models outperform classical nuclear segmentation algorithms. Overall, Mesmer is recommended as it exhibits the highest nuclear segmentation accuracy with 0.67 F1-score at an IoU threshold of 0.5 on our composite dataset. …”
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Advancing semantic segmentation: Enhanced UNet algorithm with attention mechanism and deformable convolution. by Effat Sahragard, Hassan Farsi, Sajad Mohamadzadeh

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Two-Stage Fault Classification Algorithm for Real Fault Data in Transmission Lines by Se-Heon Lim, Taegeun Kim, Kyeong-Yeong Lee, Kyung-Min Song, Sung-Guk Yoon

“…Generally, the accuracy of fault classification algorithms is evaluated by simulation data, which shows quite different characteristics from real fault data. …”
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Parameter Estimation for Traffic Noise Models Using a Harmony Search Algorithm by Deok-Soon An, Young-Chan Suh, Sungho Mun, Byung-Sik Ohm

“…Accordingly, this paper introduces a parameter estimation procedure for ASJ-based noise prediction models, utilizing a harmony search (HS) algorithm. Traffic noise measurement data for four different vehicle types were used in the algorithm to determine the regression parameters for several road surface types. …”
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Counting sheep: human experience vs. Yolo algorithm with drone to determine population by Jordan Ninahuanca Carhuas, Luigüi Andre Cerna Grados, Ide Unchupaico Payano, Edgar Garcia-Olarte, Yakelin Mauricio-Ramos, Carlos Quispe Eulogio, Mohamed M. Hadi Mohamed

“…Human counters with varying experience levels (M1-M4) and the YOLOv7 algorithm (M5) were evaluated across six sheep flocks of different sizes. …”
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Estimating coffee crop parameters through multispectral imaging and machine learning algorithms by F. V. Pereira, V. S. W. Orlando, G. D. Martins, B. S. Vieira, E. S. Nascimento, A. B. Marra, M. D. L. B. T. Galo

“…This study evaluates different machine learning algorithms, using radiometric values from multispectral images obtained by remote sensing platforms as input datasets for estimating plant height and canopy diameter in coffee cultivation. …”
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NSGA-II-TLBO algorithm for optimizing campus environment art design scheme by Huicong Wang, Meng Zhang, Hongwei Yang

“…The Genetic Learning Test (GLT) data set is used to evaluate the efficiency and effectiveness of genetic algorithms in learning and optimization tasks. …”
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