An Action Evaluation Method for Virtual Reality Simulation Power Training Based on an Improved Dynamic Time Warping Algorithm by Qingjie Xu, Yong Liu, Shuo Li

Subjects: Get full text

Retracted: Application of Discriminative Training Algorithm Based on the Improved Gaussian Mixture Model in English Translation Evaluation by International Transactions on Electrical Energy Systems

Get full text

Specifics of the Algorithmic Prescriptions in the Learning Process of the Gymnastics Exercises’ Techniques by Victor BUFTEA

“… The technology of training gymnastic exercises demonstrates a series of groupings of the most rational and optimal methods; however, the algorithmic type prescriptions are considered the closest to the effective achievement of the theoretical-methodological and practical objectives (in order to acquire the technique of gymnastic exercises with an increased degree of difficulty). …”
Get full text

Evaluating different strategies for machine learning training applied to flow forecasting based on clustering of flood events by Patrícia Cristina Steffen, Júlio Gomes, Eloy Kaviski, Daniel Henrique Marco Detzel

“…The Support Vector Regression algorithm was used to develop Artificial Intelligence (AI) models, that had better performance in predicting discharge for each group they were trained and showed similar efficiency to the model trained for the entire series for a 1-day forecast time. …”
Get full text

Evaluation of a Computer-Based Morphological Analysis Method for Free-Text Responses in the General Medicine In-Training Examination: Algorithm Validation Study by Daiki Yokokawa, Kiyoshi Shikino, Yuji Nishizaki, Sho Fukui, Yasuharu Tokuda

Get full text

An Efficient Evolutionary Neural Architecture Search Algorithm Without Training by Yang An, Changsheng Zhang, Jintao Shao, Yuxiao Yan, Baiqing Sun

“…Furthermore, to accelerate the evaluation process and minimize computational resource consumption, a multi-metric training-free evaluator is introduced to assess network performance, bypassing the resource-intensive training phase, and the adopted multi-metric combination method further solves the ranking offset problem. …”
Get full text

A Reliable Application of MPC for Securing the Tri-Training Algorithm by Hendra Kurniawan, Masahiro Mambo

“…We also compare execution time in addition to performance evaluation of tri-training in secure and the original tri-training algorithms.…”
Get full text

Compensated Neural Network Training Algorithm with Minimized Training Dataset for Modeling the Switching Transients of SiC MOSFETs by Ruwen Wang, Yu Chen, Siyu Tong, Congzhi Cheng, Yong Kang

Get full text

Analysis of Algorithms for AI Virtual Player in the Production Management Training Platform by Gąbka Joanna, Przybyś Krzysztof

“…The article presents research focused on design, testing and evaluation of the Artificial Intelligence (AI) algorithms dedicated for Virtual Player (VP/bot) embedded in the Production Management Training Platform (TP). …”
Get full text

Athlete movement control training based on dynamic time warping algorithm by Luo Dai, Yueqiang Zhao

“…Given this, this study optimizes the training process of athletes' motion control based on spatiotemporal graph convolutional networks and dynamic time-warping algorithms. …”
Get full text

Cross-validation for training and testing co-occurrence network inference algorithms by Daniel Agyapong, Jeffrey Ryan Propster, Jane Marks, Toby Dylan Hocking

“…We propose a novel cross-validation method to evaluate co-occurrence network inference algorithms, and new methods for applying existing algorithms to predict on test data. …”
Get full text

Research on Stability Optimization for Automatic Train Operation of Heavy-haul Trains of Baoshen Railway by FU Shangyuan

“…This algorithm features a multi-particle model and a train state evaluation model for heavy-haul trains, evaluating the development trend of train states while incorporating constraints related to the loading/unloading slope in levels. …”
Get full text

Beyond accuracy: a framework for evaluating algorithmic bias and performance, applied to automated sleep scoring by Michal Bechny, Luigi Fiorillo, Julia van der Meer, Markus Schmidt, Claudio Bassetti, Athina Tzovara, Francesca Faraci

Get full text

Evaluating the Ethical Practices in Developing AI and Ml Systems in Tanzania by Lazaro Inon Kumbo, Victor Simon Nkwera, Rodrick Frank Mero

Get full text

Retrospective Clinical Trial to Evaluate the Effectiveness of a New Tanner–Whitehouse-Based Bone Age Assessment Algorithm Trained with a Deep Neural Network System by Meesun Lee, Young-Hun Choi, Seul-Bi Lee, Jae-Won Choi, Seunghyun Lee, Jae-Yeon Hwang, Jung-Eun Cheon, SungHyuk Hong, Jeonghoon Kim, Yeon-Jin Cho

Get full text

Evaluation of Benchmark Datasets and Deep Learning Models with Pre-Trained Weights for Vision-Based Dynamic Hand Gesture Recognition by Yaseen, Oh-Jin Kwon, Jaeho Kim, Jinhee Lee, Faiz Ullah

Get full text

On the Training Algorithms for Artificial Neural Network in Predicting the Shear Strength of Deep Beams by Thuy-Anh Nguyen, Hai-Bang Ly, Hai-Van Thi Mai, Van Quan Tran

“…A database containing 106 results of RC deep beam shear strength tests is collected and used to investigate the performance of the four proposed algorithms. The ANN training phase uses 70% of data, randomly taken from the collected dataset, whereas the remaining 30% of data are used for the algorithms’ evaluation process. …”
Get full text

Training RBF NN Using Sine-Cosine Algorithm for Sonar Target Classification by Yixuan WANG, LiPing YUAN, Mohammad KHISHE, Alaveh MORIDI, Fallah MOHAMMADZADE

“…In order to overcome these issues, the sine-cosine algorithm (SCA) has been used to train RBF NNs in this work. …”
Get full text

Genetic Algorithms Applied to Optimize Neural Network Training in Reference Evapotranspiration Estimation by Eluã Ramos Coutinho, Jonni G.F. Madeira, Robson Mariano da Silva, Angel Ramon Sanchez Delgado, Alvaro L.G.A. Coutinho

“…Consequently, determining information that can minimize water consumption, such as evapotranspiration, is increasingly necessary. This research evaluates the capacity of Genetic Algorithms (GAs) in training and fine-tuning the parameters of Artificial Neural Networks (ANNs) (MLP-GA) to obtain daily values of reference evapotranspiration (ETo) in accordance with the Penman-Monteith FAO-56 method. …”
Get full text

Classification of Intraoral Photographs with Deep Learning Algorithms Trained According to Cephalometric Measurements by Sultan Büşra Ay Kartbak, Mehmet Birol Özel, Duygu Nur Cesur Kocakaya, Muhammet Çakmak, Enver Alper Sinanoğlu

“…This study aimed to evaluate deep learning algorithms trained utilizing actual cephalometric measurements for the classification of intraoral clinical photographs. …”
Get full text