Deep Learning Utilization for In-Line Monitoring of an Additive Co-Extrusion Process Based on Evaluation of Laser Profiler Data by Valentin Lang, Christian Thomas Ernst Herrmann, Mirco Fuchs, Steffen Ihlenfeldt

“…A dedicated convolutional neural network is designed taking into account various factors such as layer architecture, data pre-processing and optimization methods. …”
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Heat and mass transfer of Dioscorea opposita Thunb. cv. Tiegun slices during hot⁃air drying process by PANG Lingyun, YUAN Zhihua, ZHAN Lijuan, LI Yu, PAN Siyi

“…Tiegun slices, the heat transfer of the drying space and yam slices. during hot⁃air drying (HAD) process.MethodsSeven thin⁃layer drying models were used to fit the drying curves of yam slices during the HAD process, and the optimal mass transfer dynamics model was selected finally. …”
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Investigation of Parameters Influencing the Establishment of Hydrostatic Mode in the Crosshead-Guide Assembly of High-Pressure Plunger Pump by M. V. Korchagina, V. N. Stepanov, S. O. Kireev, A. R. Lebedev

“…The calculation of the hydrodynamic parameters of the lubricating layer was based on the combination of the Reynolds model and the Stokes model in numerical modeling. …”
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PREDICTION AND CONTROL OF THINNING RATE OF DEFORMATION ZONE THICKNESS IN METAL SHEET SINGLE POINT INCREMENTAL FORMING PROCESS by FAN Yuan, LI Yan, YANG MingShun, YAO ZiMeng, BAI Lang

“…Prediction of deformation zone thickness is an important way to control the rate of thinning. The process of deformation zone thickness in single point incremental forming process were analyzed,the finite element model of single point incremental forming was established by the finite element analysis software ABAQUS and the 1060 Aluminum was selected as material of sheet. …”
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A novel in-process rebar integration method for 3D printing reinforced concrete beams and performance evaluation by Yidong Chen, Wenhua Zhang, Yunsheng Zhang, Zhiyong Liu, Cheng Liu, Yu Zhang, Hongzhu Quan, Juan Chen, Mingxu Chen

“…This study proposes an assembled reinforcement cage (ASC) system that innovatively decomposes conventional stirrups into mechanically interlocking segments with mortise-and-tenon connections, eliminating the fundamental conflict between layer-by-layer printing and cross-layer reinforcement requirements. …”
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Machine Learning Predictors for Min-Entropy Estimation by Javier Blanco-Romero, Vicente Lorenzo, Florina Almenares Mendoza, Daniel Díaz-Sánchez

“…Using data from generalized binary autoregressive models, a subset of Markov processes, we demonstrate that machine learning models (including a hybrid of convolutional and recurrent long short-term memory layers and the transformer-based GPT-2 model) outperform traditional NIST SP 800-90B predictors in certain scenarios. …”
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Structure of Silicon Wafers Planar Surface before and after Rapid Thermal Treatment by U. A. Pilipenko, A. A. Sergeichik, D. V. Shestovski, V. A. Solodukha

“…Processes reducing the activating energy of mechanically disturbed silicon layer recrystallization process were suggested and its mathematical description was provided. …”
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Innovative 3D Printing Processes for the Production of High-efficiency Drug Release Tablets with Different Drug Loadings by Giovanni Cascone, Carmine Laudato, Pierluigi Lambiase, Daniele Sofia

“…This study explores the fabrication of drug-loaded tablets using the fused deposition modeling (FDM) method, employing polyvinyl alcohol (PVA) as the main polymer matrix and fluorescein as the model drug. …”
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Buoyancy characteristic analysis and optimization of precast concrete slab track during casting process of self-compacting concrete by Pengsong Wang, Tao Xin, Peng Chen, Sen Wang, Di Cheng

“…However, the cast-in-place process of the self-compacting concrete (SCC) filling layer generally causes a large deformation of PCS due to the water-hammer effect of flowing SCC, even cracking of PCS. …”
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Proposed SmartBarrel System for Monitoring and Assessment of Wine Fermentation Processes Using IoT Nose and Tongue Devices by Sotirios Kontogiannis, Meropi Tsoumani, George Kokkonis, Christos Pikridas, Yorgos Kotseridis

“…Additionally, the implemented models show that the V-LSTM model outperforms existing neural network classifiers and regression models, reducing RMSE loss by at least 45%. …”
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Highly complex ceramic cores for investment casting applications made possible by additive manufacturing by Alice Rosa, Oscar Santoliquido, Francesco Camerota, Rose Ghaderi, Federico Barcelli, Alberto Ortona

“…In this work, high quality complex ceramic cores for the investment casting are successfully produced employing the ceramic digital light processing additive manufacturing technology. Starting from the CAD model of a representative turbine blade core, an in-depth study of the complex features is performed to optimally place the printing supports and ensure printability and dimensional and geometrical accuracy of the sintered core. …”
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Distributed caching system with strong consistency model by Viktor Repin, Anatoly Sidorov

“…A common solution is to add a caching layer between the database management system and the service. …”
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Technology and Application Development of Medical Foundation Model by Xiaohong Chen, Liu Liu, Yige Yuan, Junpu Wang, Dayuan Li, Jianhua Qiu

“…The technology system is composed of a base layer, a model layer, an application layer, and a common module. …”
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A unified kinematic wave theory for melt infiltration into firn by Mohammad Afzal Shadab, Anja Rutishauser, Cyril Grima, Marc Andre Hesse

“…These solutions offer insights into processes such as the formation of frozen fringes, the perching of meltwater on low porosity layers and conditions for impermeable ice layer formation. …”
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TFKAN: Transformer based on Kolmogorov–Arnold Networks for Intrusion Detection in IoT environment by Ibrahim A. Fares, Mohamed Abd Elaziz, Ahmad O. Aseeri, Hamed Shawky Zied, Ahmed G. Abdellatif

“…The TFKAN Transformer is developed by implementing the Kolmogorov–Arnold Networks (KANs) layers instead of the Multi-Layer Perceptrons (MLP) layers. …”
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LN-DETR: cross-scale feature fusion and re-weighting for lung nodule detection by Dibin Zhou, Honggang Xu, Wenhao Liu, Fuchang Liu

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Large-Eddy Simulation of Flows Past an Isolated Lateral Semi-Circular Cavity by Yiqing Gong, Yun Xu, Jingqiao Mao, Jie Dai, Lei He, Hao Zhang, Qianshun Xu

“…Model validation against experimental data confirmed the LES’s capability to capture both recirculating flow and turbulent structures accurately. …”
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An optimization based framework for water quality assessment and pollution source apportionment employing GIS and machine learning techniques for smart surface water governance by Abhijeet Das

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Predicting Seasonal Deformation Using InSAR and Machine Learning in the Permafrost Regions of the Yangtze River Source Region by Jie Chen, Xingchen Lin, Tonghua Wu, Junming Hao, Xiaodong Wu, Defu Zou, Xiaofan Zhu, Guojie Hu, Yongping Qiao, Dong Wang, Sizhong Yang, Lina Zhang

“…Due to the limited hydraulic conductivity of the underlying permafrost, the freeze‐thaw processes are largely confined to the active layer, allowing for predictable seasonal deformations. …”
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Weldability Assessment of Austenitic/Ferritic Clad Plates Joined by a Combined Laser Beam–Electric Arc Process by Girolamo Costanza, Fabio Giudice, Severino Missori, Cristina Scolaro, Andrea Sili, Maria Elisa Tata

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