Monocular vision measurement error prediction and feedback control for a planar manipulator by Yong Chen, Jiahua Zou, Mian Jiang, Lingbo Xie, Zhen Xu

“…In this paper, a monocular visual measurement error prediction and feedback control method is proposed for a planar manipulator. …”
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Results of neurotrophic keratopathy treatment by direct corneal neurotization by M.B. Gushchina, S.B. Butsan, V.Yu. Sergeeva, K.S. Salikhov, A.V. Tereshchenko, E.V. Erokhina, S.A. Mal’kov

“…The only pathogenetically justified method of treating this pathology is corneal neurotization. …”
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Investigating the metastability of amorphous calcium carbonate by droplet microfluidics experiments using machine learning by Ryan Santoso, Lisa Guignon, Guido Deissmann, Jenna Poonoosamy

“…However, accurate quantification of this transformation requires analyzing more than thousands of droplets identifying the different polymorphs of calcium carbonate during an experiment, which is labor-intensive. Here we develop a visual-based machine learning method, combining cascading U-Net and K-Means clustering, to allow efficient analysis of droplet microfluidics experiment results. …”
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Three-dimensional model reconstruction of pipeline with inner wall corrosion based on ultrasonic phased array technology by Yulong ZHANG, Rongguo HOU, Rui WANG, Miaomiao ZHANG, Zhe LYU

“…The inner wall corrosion of pipelines is concealed and hard to monitor in time. In order to visualize the shape of the internally corroded pipeline, as well as the defect volume and its spatial distribution, a three-dimensional (3D) model reconstruction method based on the ultrasonic phased array technology was proposed for the internally corroded pipeline. …”
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ITT: Long-Range Spatial Dependencies for Sea Ice Semantic Segmentation by Javier Noa Turnes, Mingzhe Jiang, Saeid Taleghanidoozdoozan, Linlin Xu, David A. Clausi

“…The method is trained to capture long-range spatial dependencies to overcome nonstationary class statistics. …”
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Spatiotemporal survival analysis for movement trajectory tracking in virtual reality by Omar Fahmi Jubran, Maximilian Philipp Wolkersdorfer, Vera Eymann, Nicole Burkard, Daniela Czernochowski, Marc Herrlich, Cees van Leeuwen, Thomas Lachmann

“…Abstract We present a novel method for analyzing response trajectory tracking data. …”
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Genotype-specific retinal and choroidal perfusion patterns in inherited retinal diseases: an SS-OCTA analysis by Yu Rong, Junfeng Li, Jianquan He, Daowei Zhang, Jiawen Wu, Hongli Liu, Ting Li, Ping Xu, Qing Chang, Jihong Wu

“…Methods This study included 62 patients and 21 matched controls. …”
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Learning Developmental Age From 3D Infant Kinetics Using Adaptive Graph Neural Networks by Daniel Holmberg, Manu Airaksinen, Viviana Marchi, Andrea Guzzetta, Anna Tuiskula, Leena Haataja, Sampsa Vanhatalo, Teemu Roos

“…Reliable methods for the neurodevelopmental assessment of infants are essential for early detection of problems that may need prompt interventions. …”
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Factors affecting the design of the management dashboard framework with an emphasis on the components of human resources productivity by Hassan Barmaki, Farshad Faezy Razi, Ehtesham Rashidi

“…AbstractThe purpose of this research is the effective factors on the design of the management dashboard framework with an emphasis on the components of human resources productivity. The research method is applicable in terms of purpose, qualitative in terms of execution method, and cross-sectional survey in terms of nature. …”
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The Orthotropy Effect of Underground Inclusion on the Seismic Response of Ground Surface by S. Mojtabazadeh-Hasanlouei, M. Panji, M. Kamalian

“…This paper presents a formulation of the attenuated orthotropic time-domain half-space boundary element method for analyzing the orthotropic effect of underground inclusions subjected to transient SH-waves. …”
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Stability analysis of surrounding rocks of deeply-buried underground chambers based on the improved block theory and simulation using unwedge computer program by Fugui Tao, Anyi Lan, Lei Han, Xudan Sun, Zhixi Liu

“… To tackle the challenges of extensive drawing workloads and limited precision inherent in the application of block theory, this paper presents an optimization of block theory based on an improved vector method. Additionally, the Unwedge computer program is employed to conduct visual simulations of block theory applications, thereby enhancing the ease of utilizing block theory. …”
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Hand Tremor Characterization from a Spatiotemporal Convolutional Representation by Jessica Pedraza Cadena, John Edinson Archila Valderrama, Franklin Sierra-Jerez, Alejandra Moreno Tarazona, Fabio Martínez Carrillo

“…As for the resting scheme, the proposed method obtained an average accuracy of 90% and sensitivity of 80%. …”
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Imbibition Retention in the Process of Fluid Replacement in Tight Sandstone Reservoir by Xiong Liu, Yang Zhang, Desheng Zhou, Le Yan, Hai Huang, Xinru Li

“…In this study, an experimental method that can visualize the imbibition and displacement process is proposed by combining the core slice displacement experiment. …”
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Borax and Boric Acid Combination As Fire Retardant and Anti-termite Agents on Red Meranti Wood by Mahdi Santoso, Sutjipto A. Hadikusumo, Abdul Aziz

“…Testing the fire resistance referred ASTM E 69-02 B and anti-termite evaluation was conducted by no-choice feeding method. Observed parameters were absorption, actual retention, burn intensity, maximum combustion temperature, glowing time, termite mortality, mass loss, the degree of damage and visual observation. …”
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Using Partial Differential Equation Face Recognition Model to Evaluate Students’ Attention in a College Chinese Classroom by Xia Miao, Ziyao Yu, Ming Liu

“…The partial differential equation learning model is applied to another high-level visual-processing problem: face recognition. A novel feature selection method based on partial differential equation learning model is proposed. …”
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The best angle correction of basketball shooting based on the fusion of time series features and dual CNN by Meicai Xiao

“…However, the current method is limited by the variability of the shape base, ignoring dynamic features and visual information, and there are some problems in the process of feature extraction and correction of related actions. …”
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Identifying Bias in Deep Neural Networks Using Image Transforms by Sai Teja Erukude, Akhil Joshi, Lior Shamir

“…To overcome this, we propose a method to identify dataset bias without the need to crop background information from the images. …”
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Rice Leaf Disease Image Enhancement Based on Improved CycleGAN by YAN Congkuan, ZHU Dequan, MENG Fankai, YANG Yuqing, TANG Qixing, ZHANG Aifang, LIAO Juan

“…To address these challenges, a data augmentation method for rice leaf disease images was proposed based on an improved CycleGAN model in this reseach which aimed to expand disease image datasets by generating disease features, thereby alleviating the burden of collecting real disease data and providing more comprehensive and diverse data to support automatic rice disease recognition.MethodsThe proposed approach built upon the CycleGAN framework, with a key modification being the integration of a convolutional block attention module (CBAM) into the generator's residual module. …”
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On the Dynamism of Paintings Through the Distribution of Edge Directions by Adrien Deliege, Maria Giulia Dondero, Enzo D’Armenio

“…We demonstrate the applicability of our method in three key areas: studying the temporal evolution of dynamism across different artistic styles, as well as within the works of a single artist (Wassily Kandinsky), visualizing and clustering a large database of abstract paintings through PixPlot, and retrieving similarly dynamic images. …”
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Negative Propagation Effects in Two-Dimensional Silicon Photonic Crystals by Ping Jiang, Kang Xie, Huajun Yang, Zhenhai Wu

“…The finite-difference time-domain (FDTD) method was used to simulate and visualize electromagnetic wave propagation and scattering in the PhCs. …”
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