AI-Based Prediction of Warpage in Organic Substrates by Jingyi Zhao, Meiying Su, Rui Ma

“…Through material preparation, substrate manufacturing, and comprehensive characterization testing, process-matched material parameters and warpage data were obtained. …”
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Tight oil imbibition based on nuclear magnetic resonance signal calibration method by TANG Huiying, DI Kaixiang, ZHANG Liehui, GUO Jingjing, ZHANG Tao, TIAN Ye, ZHAO Yulong

“…The imbibition process is characterized by two distinct phases: a rapid imbibition stage and a stable imbibition stage. …”
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Zn₂SnO₄ Thin Films for Photovoltaics: Structural Optimization and Charge Transport Analysis by Fakhriddin T. Yusupov, Tokhirbek I. Rakhmonov, Dadakhon Sh. Khidirov, Shakhnoza Sh. Akhmadjanova, Javokhirbek A. Akhmadaliyev

“…In this study, (Zn,Sn)O thin films were synthesized and characterized for potential application as buffer layers in photovoltaic devices. The films were deposited using thermal evaporation in a high-vacuum chamber, followed by a controlled oxidation process in a pure oxygen atmosphere to achieve a ZnO-based oxide layer. …”
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Deformation and Fracture Characteristics of Coal Gangue Interbedded Samples under Loading and Unloading Conditions by Jisheng Xue, Tielin Zhao

“…By observing the deformation and fracture characteristics of coal-rock interbedding specimens with different gangue ratio under different stress paths, this paper studies the fracture instability mechanism and fracture characteristics of coal-rock interbedding, analyzes the progressive failure process and fracture opening model of coal-rock interbedding, and uses GDEM software to simulate the triaxial loading and unloading failure characteristics of coal-rock samples. …”
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Microstructural damage analysis during drilling in composite laminate with and without smart magneto-elastomer backup by Punit Patel, Vijaykumar Chaudhary, Dipal Patel, Ramesh Upadhyay, Sachin Patel

“…Microstructural observations correlate with the analytical findings based on the empirical model. This study includes a layer-wise analysis of the effect of thrust force on drilled hole quality for both types of CFRP.…”
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Moving Towards the Reliability-oriented Design of Hairpin Winding for EV Traction Machines Driven by SiC Inverter by Xiaowei Ju, Yue Zhang, Zhiwei Xue, Yuan Cheng, Shumei Cui

“…Subsequently, a high-frequency equivalent circuit model of the HW TM prototype is developed. The error of simulation and experiment is only 5.7 %, which proves the accuracy of the model. …”
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Surrogate-assisted global and distributed local collaborative optimization algorithm for expensive constrained optimization problems by Xiangyong Liu, Zan Yang, Jiansheng Liu, Junxing Xiong, Jihui Huang, Shuiyuan Huang, Xuedong Fu

“…More importantly, a three-layer adaptive selection strategy where the feasibility, diversity and convergence are balanced effectively is designed to identify promising solutions in global and local candidate sets. …”
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A Framework for Segmentation and Classification of Cervical Cells Under Long-tailed Distribution by YANG Xiao na, LI Chao wei, SHAO Hui li, HE Yong jun

“…This framework first performs cell nucleus segmentation, uses U-Net as the base model for layer reduction, adds AG module, and uses ACBlock module instead of traditional standard convolutional blocks; then uses ResNeSt for coarse classification of segmented data, fuses manual features extracted based on physicians ′ experience and machine features extracted by ResNeSt network for fine classification , and uses active learning iteratively to expand the cervical cell categories and fuse the ACBlock module in the BBN model to process the long-tail data; finally, the diagnostic indexes of abnormal cells are refined and abnormal cells are screened according to the TBS diagnostic criteria and the physician ′s diagnostic experience. …”
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A Simple Neural Network for Estimating Fine Sediment Sources Using XRF and XRD by Selline Mutiso, Keisuke Nakayama, Katsuaki Komai

“…Herein, we used a simplified neural network analysis (NNA) model to identify the sources of SS in Japan’s Oromushi River Catchment Basin. …”
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Optical flow estimation based on global cross information and dynamic encoder–dynamic decoder by Haoxin Guo, Yifan Wang, Xiaobo Guo

“…The experimental results show that compared with the RAFT benchmark network, the model in this paper preserves the global features and edge detail information of large-scale motion without significantly increasing the number of model parameters.…”
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Effective cell membrane tension protects red blood cells against malaria invasion. by Haleh Alimohamadi, Padmini Rangamani

“…In this study, we use a theoretical model for lipid bilayer mechanics, cytoskeleton deformation, and membrane-merozoite interactions to systematically investigate the influence of effective RBC membrane tension, which includes contributions from the lipid bilayer tension, spontaneous tension, interfacial tension, and the resistance of cytoskeleton against shear deformation on the progression of membrane wrapping during the process of malaria invasion. …”
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THE EVALUATION SYSTEM OF DESIGN SOLUTIONS FOR RESIDENTIAL PROPERTY ON THE PRE-INVESTMENT STAGE THROUGH NEURAL NETWORK TECHNOLOGY by G. D. Kostsikava, G. V. Zemliakov

“…Also great attention is paid to the virtual object modeling. It is urgent to include the behavior prediction of an investment construction project model at each stage of its life cycle. …”
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Automated Morphology Detection of Nail-Fold Capillaries Through Enhanced Object Detection Network by Hang Thi Phuong Nguyen, Hieyong Jeong

“…This study proposes a non-invasive methodology for detecting nail-fold capillary morphology by integrating an object detection model for improvement within a deep learning framework. …”
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Axisymmetric problem of smoothing the surface of a viscous liquid by surface tension forces by Vitalii Myntiuk, Olga Shypul, Oleh Tryfonov, Yevgen Tsegelnyk

“…This study aims to extend Orchard’s formula to axisymmetric surface irregularities and develop an analytical model for predicting levelling time, thereby ensuring efficient process control in thermal treatment applications. …”
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Graph-informed convolutional autoencoder to classify brain responses during sleep by Sahar Zakeri, Somayeh Makouei, Sebelan Danishvar

“…Furthermore, an attention layer based on recurrence rate features extracted from EEGs was incorporated into the GICA classifier to enhance the dynamic ability of the model. …”
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Multi-task feature integration and interactive active learning for scene image resizing by Ludan Shi, Xianhua Yan, Sen Wang

“…The primary advantages of LIAL are twofold: firstly, it maintains the local coherence of varied scenes efficiently, and secondly, it allows for the active selection process to be shaped by human interaction. By employing LIAL, we methodically represent a GSP for every scene and calculate its corresponding deep features by a multi-layer aggregating algorithm. …”
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SCENet: Small Kernel Convolution with Effective Receptive Field Network for Brain Tumor Segmentation by Bin Guo, Ning Cao, Ruihao Zhang, Peng Yang

“…Accurate brain tumor segmentation based on deep learning plays an important role in the preoperative treatment planning process and has achieved good performance. However, one of the challenges involved is an insufficient ability to extract features with a large receptive field in encoder layers and guide the selection of deep semantic information in decoder layers. …”
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Preparation and performance study of dust suppressant based on D-optimal design method by Jianyun QIN, Tao LIU, Dongtao LI, Xiaochao LI

“…To effectively control the coal dust generated in the coal production process, taking the respirable coal dust of Yushuling Coal Mine as the research object, the D-optimal design method was used to establish the regression model between the ratio of the dust suppressant and the evaporation amount, film-forming time, to investigate the optimal ratio of sodium fatty acid methyl ester sulfonate, sodium polyacrylate, and calcium chloride, to analyze the single-factor effect of the three factors and the factor interaction, and to study its dust suppression performance by the characteristic parameters such as the hardness, the wind erosion resistance, water retention, etc. …”
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Deep structure of South Kamchatka according to geophysical data by Yu. F. Moroz, L. I. Gontovaya

“…We propose a geoelectric model showing the depths along the profile constructed across the zone. …”
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Flow characteristics of caved ore and rock in the multiple draw-point condition by SUN Hao, JIN Ai-bing, GAO Yong-tao, MENG Xin-qiu

“…Based on the particle flow theory and PFC3D code,a draw model was constructed to research the flow characteristics of caved ore and rock in the multiple draw-point condition and visualize the form-changing process of the isolated extraction zone(IEZ) and the ridge hangover body. …”
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