Robust Fault Detection in Industrial Machines Using Hybrid Transformer-DNN With Visualization via a Humanoid-Based Telepresence Robot by Amir R. Ali, Hossam Kamal

“…By leveraging the Transformer’s superior feature extraction capabilities alongside the DNN’s classification strength, the model significantly improves detection accuracy and reduces misclassification errors. The proposed model is evaluated on two distinct datasets, including industrial machine fault detection (TMFD) and induction motor fault diagnosis (MFD). …”
Get full text

DualDyConvNet: Dual-Stream Dynamic Convolution Network via Parameter-Efficient Fine-Tuning for Predicting Motor Prognosis in Subacute Stroke by Yunjeong Jang, Joohye Jeong, Yun Kwan Kim, Da-Hye Kim, Wanjoo Park, Laehyun Kim, Yun-Hee Kim, Minji Lee

“…As a result, we achieved average root mean squared error (RMSE) of <inline-formula> <tex-math notation="LaTeX">$0.070 \; \pm \; 0.045$ </tex-math></inline-formula> and <inline-formula> <tex-math notation="LaTeX">$0.223 \; \pm \; 0.148$ </tex-math></inline-formula> on the two datasets, respectively. …”
Get full text

Correction of ASCAT, ESA–CCI, and SMAP Soil Moisture Products Using the Multi-Source Long Short-Term Memory (MLSTM) by Qiuxia Xie, Yonghui Chen, Qiting Chen, Chunmei Wang, Yelin Huang

“…When the mean squared error (<i>MSE</i>) loss values were minimized, the improvement for ASCAT, ESA–CCI, and SMAP products was considered the best. …”
Get full text

Software-Defined Optical Coherence Measurement of Seawater Refractive Index Variations by Jiaxin Zhao, Xinyi Zhang, Qi Wang, Liyan Li, Songtao Fan, Yongjie Wang, Yan Zhou

“…By adopting SDR as the implementation platform for the demodulation algorithm and using a radio-frequency source to simulate interference signals for demodulating the refractive index variation, the results show that the relative error of the SDR demodulation results is below 0.3%. …”
Get full text

Precise PIV Measurement in Low SNR Environments Using a Multi-Task Convolutional Neural Network by Yichao Wang, Chenxi You, Di Peng, Pengyu Lv, Hongyuan Li

“…However, RAFT-PIV is extremely susceptible to experimental conditions characterized by low signal-to-noise ratios (SNR), leading to unacceptable errors. This study proposes PIV-RAFT-EN, an enhanced RAFT-based algorithm integrating image denoising, enhancement, and optical flow estimation via a Multi-Task Convolutional Neural Network (MTCNN). …”
Get full text

Automatic Segmentation of Gas Metal Arc Welding for Cleaner Productions by Erwin M. Davila-Iniesta, José A. López-Islas, Yenny Villuendas-Rey, Oscar Camacho-Nieto

“…In the industry, the robotic gas metal arc welding (GMAW) process has a huge range of applications, including in the automotive sector, construction companies, the shipping industry, and many more. …”
Get full text

Modelling Magnetorheological Dampers in Preyield and Postyield Regions by E. Palomares, A. L. Morales, A. J. Nieto, J. M. Chicharro, P. Pintado

“…The use of magnetorheological dampers has rapidly spread to many engineering applications, especially those related to transportation and civil engineering. …”
Get full text

Design of a Robust Unknown Input Observer for the State of Charge Estimation for Lithium-Ion Batteries by Omid Rezaei, Mohammadali Faghih

“…Also, for large-scale applications such as electric vehicles, disturbances in measurement may increase the SoC estimation error. …”
Get full text

Investigating the Key Trends in Applying Artificial Intelligence to Health Technologies: A Scoping Review. by Tawil Samah, Merhi Samar

“…However, some challenges may exist, despite these benefits, and are related to data integration, errors related to data processing and decision making, and patient safety.…”
Get full text

Impact Force Algorithm and Parameters of Rolling Stone Impact Pier in Mountain Area by Zi-Jian Wang, Qi Liu, Yi Jiang, Li-Ming Wu, Hao Wang, Yi Wang, Ji-Wu Wang

“…These findings underscore the significant influence of impact velocity and angle on impact force, highlighting the necessity for accurate algorithms in engineering applications. The formula derived in this paper yielded results closest to the peak impact force, with errors between the results under each impact condition and the peak impact force fluctuating within an engineering acceptable range of ~10%, indicating that the formula derived in this paper is more accurate and reasonable for engineering applications.…”
Get full text

Retentive Time Series: A Scalable Machine Learning Model for Traffic Prediction in Elastic Optical Networks by Faranak Khosravi, Mehdi Shadaram

“…Extensive simulations performed on traffic datasets have shown that Ret-TS reduces prediction errors and network blocking probabilities under different traffic loads in three network topologies: NSFNET, Janos-US, and US100. …”
Get full text

Reliable smart models for estimating frictional pressure drop in two-phase condensation through smooth channels of varying sizes by M. A. Moradkhani, S. H. Hosseini, Mengjie Song, A. Abbaszadeh

“…However, the available models are only applicable to specific operating conditions and channel sizes. …”
Get full text

Natural Gas Consumption Forecasting Model Based on Feature Optimization and Incremental Long Short-Term Memory by Huilong Wang, Xianjun Gao, Ying Zhang, Yuanwei Yang

“…Specifically, it achieves notably low average prediction errors of 0.0556 and 0.0392 on the top 10 heating and non-heating days, respectively. …”
Get full text

A Multimedia Medical Expert System for Human Diseases Diagnosis by Ahmed Ameen, Baydaa Khaleel

“…With the great expansion and development of computer science and its systems. Its applications are used in most areas of life, which facilitated the solution of many simple and complex issues, as it was used in multiple fields, including the medical field, where computer applications were designed to help the specialist doctor in his work and reduce the time in diagnosis. …”
Get full text

Applying neural networks as direct controllers in position and trajectory tracking algorithms for holonomic UAVs by Cezary Kownacki, Slawomir Romaniuk, Marcin Derlatka

“…The results highlight that DNNs achieved the highest trajectory tracking accuracy, as measured by root mean squared errors (1.0830) and correlation coefficients (0.9624 given as Pearson’s correlation) while providing satisfactory results and stable flight across untrained scenarios, in opposite to other neural networks. …”
Get full text

Lay-interviewer training protocol for the WHO Flexible Interview for ICD-11 for the National Mental Health Survey – 2 (India) by Lakshmi Jogi, Harsh Khandelwal, Avani Sharma, Niharika Singh, T. S Jaisoorya, Geoffrey M. Reed, Karen T. Maré, Girish N. Rao, Vivek Benegal

“…Training further minimizes human errors by ensuring uniformity in administration of the instrument. …”
Get full text

Pore size classification and prediction based on distribution of reservoir fluid volumes utilizing well logs and deep learning algorithm in a complex lithology by Hassan Bagheri, Reza Mohebian, Ali Moradzadeh, Behnia Azizzadeh Mehmandost Olya

“…The correlation coefficient (CC) between the actual and estimated data for the three outputs CBW, BVI and FFV are 95%, 94%, and 97%, respectively, as well as root mean square error (RMSE) was obtained 0.0081, 0.098, and 0.0089, respectively. …”
Get full text

Research on the combination of algorithms and mixed reality for the localization of perforator vessels in anterolateral thigh and free fibula flaps by Yixiu Liu, Yixiu Liu, Jian Wu, Lian Zhou, Xi Tang, Shuangjiang Wu, Shuangjiang Wu, Ping Ji

“…This system shows significant potential for application in lower extremity flap harvesting surgeries.…”
Get full text

Development of a new data management system for the study of the gut microbiome of children who are small for their gestational age by Felix Manske, Magdalena Durda-Masny, Norbert Grundmann, Jan Mazela, Monika Englert-Golon, Marta Szymankiewicz-Bręborowicz, Joanna Ciomborowska-Basheer, Izabela Makałowska, Anita Szwed, Wojciech Makałowski

“…Thus, after initial plausibility checks on the input data to reduce human error, data are stored in a relational database and can be continuously updated over the whole life time of the study. …”
Get full text

Development and model test of dynamic loading system in mine goaf site for high-speed railway subgrade by Lianwei REN, Liang LI, Ziqiang WANG, Youfeng ZOU, Zhilin DUN, Shuren WANG

“…Additionally, the system allows for the realization of the M-wave output of high-speed load within a 10% error, thereby verifying the feasibility of dynamic loading tests for the high-speed railway subgrade models in mining goaf areas. …”
Get full text