Memory-Efficient Batching for Time Series Transformer Training: A Systematic Evaluation by Phanwadee Sinthong, Nam Nguyen, Vijay Ekambaram, Arindam Jati, Jayant Kalagnanam, Peeravit Koad

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An Improved Whale Optimization Algorithm via Angle Penalized Distance for Automatic Train Operation by Longda Wang, Yanjie Ju, Long Guo, Gang Liu, Chunlin Li, Yan Chen

“…This study proposes a novel effective improved whale optimization algorithm via angle penalized distance (IWOA-APD) for automatic train operation (ATO) to effectively improve the ATO quality. …”
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Fault localization for automatic train operation based on the adaptive error locating array algorithm by Yanpeng Zhang, Yuxiang Cao

“…The experimental results of ablation and comparison show that the Integrity, average Accuracy and average C-Evaluation of the proposed algorithm can reach up to 100%, 91.07% and 84.56% respectively. …”
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A Comparison of the Black Hole Algorithm Against Conventional Training Strategies for Neural Networks by Péter Veres

“…This study presents a comparative analysis of four training algorithms, Backpropagation, Genetic Algorithm, Black-hole Algorithm, and Particle Swarm Optimization, evaluated across both classification and regression tasks. …”
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The data analysis of sports training by ID3 decision tree algorithm and deep learning by Kaigong Wang, Lei Wang, Jiduo Sun

“…Abstract In order to improve the accuracy and efficiency of sports training data analysis, this paper proposes an optimized analysis model by combining Iterative Dichotomiser 3 (ID3) decision tree algorithm and deep learning model. …”
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Internet Financial Risk Monitoring and Evaluation Based on GABP Algorithm by Yaqin Guang, Shunyong Li, Quanping Li

“…Firstly, the importance of Internet financial risk monitoring and evaluation is expounded. Secondly, the basic principles of backpropagation (BP) neural network, genetic algorithm (GA), and GABP algorithms are discussed. …”
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Evaluation and Improvement of Generalization Performance of SAR Ship Recognition Algorithms by Chi Zhang, Xi Zhang, Jie Zhang, Gui Gao, Yongshou Dai, Genwang Liu, Yongjun Jia, Xiaochen Wang, Yi Zhang, Meng Bao

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Research Progress of Intelligent Evaluation and Virtual Reality Based Training in Upper Limb Rehabilitation afrer Stroke by XIE Qiurong, LIN Wanqi, ZHANG Qi, SHENG Bo, ZHANG Yanxin, HUANG Jia

“…Accurate assessment and training of motor function in stroke patients is essential. …”
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Evaluating the Outcomes of Students’ Training in the Context of Information Technology Model of Education by B. Y. Staritchenko

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An Asynchronous Training-Free SSVEP-BCI Detection Algorithm for Non-Equal Prior Probability Scenarios by Junsong Wang, Yuntian Cui, Hongxin Zhang, Haolin Wu, Chen Yang

“…In this study, the prior probability distribution of alternative targets was introduced into the SSVEP recognition algorithm, and an asynchronous training-free SSVEP-BCI detection algorithm for non-equal prior probability scenarios was proposed. …”
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Training Language Models for Estimating Priority Levels in Ultrasound Examination Waitlists: Algorithm Development and Validation by Kanato Masayoshi, Masahiro Hashimoto, Naoki Toda, Hirozumi Mori, Goh Kobayashi, Hasnine Haque, Mizuki So, Masahiro Jinzaki

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Algorithm-Based Real-Time Analysis of Heart Rate Measures in HIIT Training: An Automated Approach by Sergio Amat, Sonia Busquier, Carlos D. Gómez-Carmona, Manuel Gómez-López, José Pino-Ortega

“…The algorithm detects local maxima and minima in the heart rate signals recorded during HIIT sessions and calculates ascending and descending slopes, as well as intermediate averages, to evaluate cardiovascular response and recovery. …”
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Comparative analysis of different algorithms for VAS station land cover classification with limited training points by D. García-Rodríguez, A. Pérez-Hoyos, B. Martínez, Pablo Catret Ruber, J. Javier Samper-Zapater, E. López-Baeza, J.J. Martínez Durá

“…Several aspects of land cover classification have been evaluated, including i) the feature selection, ii) the temporal resolution of time series (i.e., monthly, seasonal), iii) the performance of six Machine Learning algorithms (i.e., CART, GTB, k-NN, NB, RF, and SVM, alongside three deep learning models (FC-NN, MLP-ED, and ResCNN) and iv) the optimization of classifier tuning parameters. …”
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Gutek: Intelligent Revision Algorithms by Lukasz Galka

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Research and application of adaptive algorithm for 5G voice quality evaluation by Yuxiang ZHAO, Yaxin JI, Li YU, Tianyi ZHOU, Hang ZHOU

“…MOS (mean opinion score) is usually used to evaluate voice quality in the industry.It can objectively and fairly reflect the user’s voice service perception.It is difficult and costly to obtain data by road test, so a trained supervised learning model is usually used to predict the MOS score.However, the operator voice data has the characteristics of low percentage of MOS low score data and time sequence change, which affects the accuracy and generalization of the model prediction.Based on the study of existing data acquisition systems and machine learning algorithms of operators, an adaptive algorithm for MOS evaluation of 5G speech quality was proposed.Firstly, POLQA algorithm test equipment based on full parameter evaluation obtained training data to ensure the accuracy of training samples.Secondly, by means of data enhancement, the difficulty of acquiring poor quality samples was solved.Finally, based on the adaptive algorithm selection, the optimal MOS prediction model could be selected periodically and dynamically according to the timing changes of data features, so as to achieve large-scale and intelligent evaluation of 5G voice quality.…”
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Performance evaluation of deep learning algorithms for channel estimation in OFDM-IM by Omer Adiguzel, Ibrahim Develi

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English Pronunciation Evaluation and Correction Algorithm Technology Based on Artificial Intelligence by Sian Chen, Linqiang Tang

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An Automatic Voice Test Method of HMI for Train with PerceptualEvaluation of Speech Quality by GAO Feng, ZHANG Hongwei

“…It describes a automatic detection method which uses microphone to sample the voice of HMI, and a PESQ algorithm is used to automatically detect and evaluate the voice from HMI. …”
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Advances to IoT security using a GRU-CNN deep learning model trained on SUCMO algorithm by Amit Sagu, Nasib Singh Gill, Preeti Gulia, Noha Alduaiji, Piyush Kumar Shukla, Mohd Asif Shah

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Understanding Social Biases in Large Language Models by Ojasvi Gupta, Stefano Marrone, Francesco Gargiulo, Rajesh Jaiswal, Lidia Marassi

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