Real-Time System Prediction for Heart Rate Using Deep Learning and Stream Processing Platforms by Abdullah Alharbi, Wael Alosaimi, Radhya Sahal, Hager Saleh

“…The offline phase targets developing the model using different forecasting techniques to find the lowest root mean square error. The heart rate time-series dataset is extracted from Medical Information Mart for Intensive Care (MIMIC-II). …”
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WearMoCap: multimodal pose tracking for ubiquitous robot control using a smartwatch by Fabian C. Weigend, Neelesh Kumar, Oya Aran, Heni Ben Amor

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Research on Registration Methods for Coupled Errors in Maneuvering Platforms by Qiang Li, Ruidong Liu, Yalei Liu, Zhenzhong Wei

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Variational Autoencoders-Based Algorithm for Multi-Criteria Recommendation Systems by Salam Fraihat, Qusai Shambour, Mohammed Azmi Al-Betar, Sharif Naser Makhadmeh

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Estimating Subsurface Thermohaline Structure in the Tropical Western Pacific Using DO-ResNet Model by Xianmei Zhou, Shanliang Zhu, Wentao Jia, Hengkai Yao

“…In the model experiment, Argo data were used to train and validate the model, and the root mean square error (RMSE), normalized root mean square error (NRMSE), and coefficient of determination (R²) were employed to evaluate the model’s performance. …”
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Integrating RS data with fuzzy decision systems for innovative crop water needs assessment by Faezeh Sadat Hashemi, Mohammad Javad Valadan Zoej, Fahimeh Youssefi, Huxiong Li, Sanaz Shafian, Mahdi Farnaghi, Saied Pirasteh

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Bayesian optimization and machine learning for vaccine formulation development. by Lillian Li, Sung-In Back, Jian Ma, Yawen Guo, Thomas Galeandro-Diamant, Didier Clénet

“…The cross-validation matrices of the models' predictions showed high R² and low root mean square errors, indicating their reliability. …”
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Factors influencing the development of manufacturing automation in Chinese prefabrication factories by Yuchen Hu, Hao Meng, Jie Liu

“…Manufacturing automation in prefabrication factories (MAPF) is a critical means of enhancing the level of digitalization and intelligence in the constrution industry. However, there hasn’t been much research done to look at the complex interactions between the primary factors influencing MAPF. …”
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An Importance Sampling Method for Generating Optimal Interpolation Points in Training Physics-Informed Neural Networks by Hui Li, Yichi Zhang, Zhaoxiong Wu, Zhe Wang, Tong Wu

“…The application of machine learning and artificial intelligence to solve scientific challenges has significantly increased in recent years. …”
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Analysis of Muscular Electrical Activity and Blood Perfusion of Upper Extremity in Patients with Hemiplegic Shoulder Pain: A Pilot Study by Minghong Sui, Naifu Jiang, Luhui Yan, Chenxi Zhang, Jiaqing Liu, Tiebin Yan, Guanglin Li

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Attention-Based Deep Neural Network for High-Dimensional Microwave Modeling of Non-Reciprocal Bandpass Filters by Girdhari Chaudhary, Yao Meng, Dong Sun Park, Yongchae Jeong

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Comparing sparse inertial sensor setups for sagittal-plane walking and running reconstructions by Eva Dorschky, Marlies Nitschke, Matthias Mayer, Ive Weygers, Heiko Gassner, Heiko Gassner, Thomas Seel, Bjoern M. Eskofier, Bjoern M. Eskofier, Anne D. Koelewijn, Anne D. Koelewijn

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Imaging Estimation for Liver Damage Using Automated Approach Based on Genetic Programming by David Herrera-Sánchez, Héctor-Gabriel Acosta-Mesa, Efrén Mezura-Montes, Socorro Herrera-Meza, Eduardo Rivadeneyra-Domínguez, Isaac Zamora-Bello, María Fernanda Almanza-Domínguez

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Real-World Smartphone Data Predicts Mood After Ischemic Stroke and Transient Ischemic Attack Symptoms and May Constitute Digital Endpoints: A Proof-of-Concept Study by Stephanie Zawada, PhD, MS, Jestrii Acosta, MS, Caden Collins, BA, Oana Dumitrascu, MD, MS, Ehab Harahsheh, MBBS, Clinton Hagen, MS, Ali Ganjizadeh, MD, Elham Mahmoudi, MD, Bradley Erickson, MD, PhD, Bart Demaerschalk, MD, MSc

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In Silico Analysis of Temperature-Induced Structural, Stability, and Flexibility Modulations in Camel Cytochrome c by Heba A. Alkhatabi, Mohammad Alhashmi, Hind Ali Alkhatabi, Hisham N. Altayb

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A novel MRI-based deep learning imaging biomarker for comprehensive assessment of the lenticulostriate artery-neural complex by Yan Song, Yunlong Jin, Jianguo Wei, Jiajia Wang, Zhong Zheng, Ying Wang, Ru Zeng, Weiping Lu, Bingcang Huang

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Hyperspectral imaging for one-step growth simulation of Brochothrix thermosphacta in chilled beef during storage by Xiaohua Liu, Binjing Zhou, Jin Song, Kang Tu, Jing Peng, Weijie Lan, Jing Xu, Jie Wu, Juqing Wu, Leiqing Pan

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Embedding machine-learnt sub-grid variability improves climate model precipitation patterns by Daniel Giles, James Briant, Cyril J. Morcrette, Serge Guillas

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An optimal representation to Random Maximum k Satisfiability on the Hopfield Neural Network for High order logic(k ≤ 3) by Hamza Abubakar

“…The proposed model has been compared with the existing models published in the literature in term of Global minimum ratio (zM), Fitness energy landscapes (FEL), Root Means square error (RMSE), R-square and computation time (CPU). …”
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Digitally twin driven ship cooling pump fault monitoring system and application case by Shaojuan Su, Zhe Miao, Yong Zhao, Nanzhe Song

“…This study aims to leverage digital twin technology to design and apply a visualization monitoring system to enhance the intelligence of ship operation and maintenance.…”
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