The calculus simulation to predict reliably heat transfer coefficient by Kang Dai, Lu Qin, Yanliu Guo, Yunjing Liang, Yannan Yang, Dan Zhao, Xincai Xiao

“…It is critical to develop an effective and efficient method to simulate process of the heat transfer. Here, a calculus method to predict heat transfer coefficient was reported for the first time. …”
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Convolutional sparse coding network for sparse seismic time-frequency representation by Qiansheng Wei, Zishuai Li, Haonan Feng, Yueying Jiang, Yang Yang, Zhiguo Wang

“…Seismic time-frequency (TF) transforms are essential tools in reservoir interpretation and signal processing, particularly for characterizing frequency variations in non-stationary seismic data. …”
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Data-driven multifidelity surrogate models for rocket engines injector design by Jose Felix Zapata Usandivaras, Michael Bauerheim, Bénédicte Cuenot, Annafederica Urbano

“…The amalgamation of low and HF data during the the transfer-learning process enables the improvement of the surrogate model’s fidelity without excessive additional cost.…”
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Soil Organic Carbon Assessment Using Remote-Sensing Data and Machine Learning: A Systematic Literature Review by Arthur A. J. Lima, Júlio Castro Lopes, Rui Pedro Lopes, Tomás de Figueiredo, Eva Vidal-Vázquez, Zulimar Hernández

“…This Systematic Literature Review (SLR) aims to identify techniques and alternative ways to estimate SOC using Remote-Sensing (RS) spectral data and computer tools to process this database. This SLR was conducted using Systematic Review and Meta-Analysis (PRISMA) methodology, highlighting the use of Deep Learning (DL), traditional neural networks, and other machine-learning models, and the input data were used to estimate SOC. …”
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Developing an automatic collector of runoff for studies using rainfall simulators by Pietro M. S. Macedo, Nivaldo Schultz, Paulo T. S. Oliveira, Marinaldo F. Pinto, Bruno A. A. F. Conforto, Daniel F. de Carvalho

“…The used sensors were chosen based on the type A uncertainty computed from different volumes of water and concentrations of sediment. …”
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Latency and Amplitude of Cortical Activation in Interactive vs. Passive Tasks: An fNIRS Study Using the NefroBall System by Karolina Jezierska, Agnieszka Turoń-Skrzypińska, Iwona Rotter, Anna Syroka, Magdalena Łukowiak, Kamila Rawojć, Piotr Rawojć, Aleksandra Rył

“…The results have potential implications for designing rehabilitation protocols and brain–computer interfaces involving visual–motor integration.…”
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Fracture Propagation and Hydraulic Properties of a Coal Floor Subjected to Thick-Seam Longwalling above a Highly Confined Aquifer by Shaodong Li, Gangwei Fan, Dongsheng Zhang, Shizhong Zhang, Liang Chen, Shang Ren, Yibo Fan

“…The results show that the floor rocks experience fracture generation, extension, and convergence procedures as the workface advances along the longitudinal direction, and fractures appearing in front of the workface are more developed. In the whole process of coal seam extraction, the volumetric strain profile exhibits “Λ” shape and an inverted saddle shape before and after overburden strata collapse. …”
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Temporal-Spatial Redundancy Reduction in Video Sequences: A Motion-Based Entropy-Driven Attention Approach by Ye Yuan, Baolei Wu, Zifan Mo, Weiye Liu, Ji Hong, Zongdao Li, Jian Liu, Na Liu

“…The existence of redundant video frames results in a substantial waste of computational resources during video-understanding tasks. …”
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Developing a machine learning Ni-Co-Al ternary interatomic potential for temperature and strain-rate dependent mechanical behaviors of Ni-based single crystal superalloys by Zhijia Qin, Shirong Liang, Linli Zhu, Penghua Ying, Dongfeng Li, Ligang Sun

“…Moreover, the MLP development process proposed in this work provides a feasible framework to develop diverse multicomponent interatomic potentials.…”
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Multi-Period Operational Modelling and Optimization for Large-Scale Natural Gas Networks Considering Linepack Functions in Long-Distance Transmission Pipelines by Wenwen Zhang, Qiaoqiao Tang, Xuenong Gao, Rujin Zhou

“…In this research, we present a model-based, computer-aided framework that intuitively connects upstream natural gas operations with downstream power generation and distribution. …”
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Fast prediction of irradiation-induced cascade defects using denoising diffusion probabilistic model by Ruihao Liao, Ke Xu, Yifan Liu, Zibo Gao, Shuo Jin, Linyun Liang, Guang-Hong Lu

“…By offering a rapid and reliable means to model defect distributions across various energy levels, the proposed scheme benefits the comprehension of the cascade process and provides a valuable database for both experimental investigations and large-scale simulations.…”
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TLDDM: An Enhanced Tea Leaf Pest and Disease Detection Model Based on YOLOv8 by Jun Song, Youcheng Zhang, Shuo Lin, Huijie Han, Xinjian Yu

“…Finally, a novel detection head structure, termed EfficientPHead, is proposed to maintain detection performance while improving computational efficiency and reducing parameters which leads to inference speed acceleration. …”
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Insights on Renal Profiles of Iraqi Patients With Type II Diabetes by Rand Jalal Abd Al-Ghanny, Safaa Ehssan Atta, Hussein Hatam Omran, Isam Noori Salman

“…We recommended that every request for blood creatinine concentration be computed, and an eGFR should be provided using the (CKD-EPI) method. …”
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Joint Active/Passive Beamforming Optimization via RWMMSE and Gradient Projection for Downlink IRS-Aided MU-MISO Systems by Seraphin F. Kimaryo, Eduard E. Bahingayi, Kyungchun Lee

“…These two techniques undergo a novel restructuring process, where the RWMMSE framework, originally designed for MIMO systems, is transformed to work with a MISO system. …”
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Deep Reinforcement Learning for Dynamic Pricing and Ordering Policies in Perishable Inventory Management by Yusuke Nomura, Ziang Liu, Tatsushi Nishi

“…While many previous studies assume the perishable inventory is processed following the First In, First Out rule, it does not reflect customer purchasing behavior. …”
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A methodology to simulate interior and intermediate ballistics with dynamic mesh technique and lumped parameter code by G. Guermonprez, T. Gaillard, J. Dupays, J. Anthoine, R. Demarthon

“…The aim of this paper is to simulate and study the early moments of the reactive ballistics of a large caliber projectile fired from a gun, combining 0D and 2D axisymmetric Computational Fluid Dynamics (CFD) approaches. First, the methodology is introduced with the development of an interior ballistics (IB) lumped parameter code (LPC), integrating an original image processing method for calculating the specific regression of propellant grains that compose the gun propellant. …”
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Predicting Earthquake Casualties and Emergency Supplies Needs Based on PCA-BO-SVM by Fuyu Wang, Huiying Xu, Huifen Ye, Yan Li, Yibo Wang

“…In order to address challenges such as the large computational workload, tedious training process, and multiple influencing factors associated with predicting earthquake casualties, this study proposes a Support Vector Machine (SVM) model utilizing Principal Component Analysis (PCA) and Bayesian Optimization (BO). …”
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Comparative Analysis of Machine Learning and Deep Learning Models for Individual Tree Structure Segmentation Using Terrestrial LiDAR Point Cloud Data by Sangjin Lee, Woodam Sim, Yongkyu Lee, Jeongmook Park, Jintaek Kang, Jungsoo Lee

“…Overall, XGBoost provided advantages in computational efficiency and in generating feature-importance scores, while PointNet++ outperformed XGBoost in segmentation accuracy and the recognition of structurally complex regions.…”
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Fast Monocular Measurement via Deep Learning-Based Object Detection for Real-Time Gas-Insulated Transmission Line Deformation Monitoring by Guiyun Yang, Wengang Yang, Entuo Li, Qinglong Wang, Huilong Han, Jie Sun, Meng Wang

“…To correct image tilt, ArUco markers are employed for geometric correction and to compute a scaling factor based on their known edge lengths, thereby reducing errors caused by non-perpendicular camera angles. …”
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A Framework for Intersection Traffic Safety Screening with the Implementation of Complex Network Theory by Xueyu Mi, Chunfu Shao, Chunjiao Dong, Chengxiang Zhuge, Yan Zheng

“…The traffic flow has been incorporated into the process of developing three indicators from the perspective of the complex network theory to measure the node importance. …”
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