Deep Learning for Visual Leading of Ships: AI for Human Factor Accident Prevention by Manuel Vázquez Neira, Genaro Cao Feijóo, Blanca Sánchez Fernández, José A. Orosa

“…To address this issue, this study explores the use of convolutional neural networks (CNNs), evaluating different training strategies and hyperparameter configurations to assist officers in identifying deviations from proper visual leading. …”
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An Efficient and Automated Classification System for Rocks Based on Visually Explainable Deep Learning by Shan Lin, Quanke Hu, Hongwei Guo, Miao Dong, Kaiyang Zhao, Hong Zheng, Zhijun Liu

“…To enhance convolutional neural network interpretability and reliability, we further dive into visual interpretation maps generated by various class activation mapping methods. …”
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Resist-as-Needed ADL Training With SPINDLE for Patients With Tremor by Nikhil Tej Kantu, Ryan Osswald, Amit Kandel, Jiyeon Kang

“…A new game-based robotic training paradigm is suggested to perform ADL tasks at various intensity levels of resistance as needed. …”
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Masked pre-training of transformers for histology image analysis by Shuai Jiang, Liesbeth Hondelink, Arief A. Suriawinata, Saeed Hassanpour

“…Our experiments demonstrate that the pre-training procedure enables context-aware understanding of WSIs, facilitates the learning of representative histological features based on patch positions and visual patterns, and is essential for the ViT model to achieve optimal results on WSI-level tasks. …”
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The Effective Evaluation of Emotions in the Visual Emotion Images Using Convolutional Neural Networks by Modestas Motiejauskas, Gintautas Dzemyda

“…Our research allows us to improve the performance of visual emotion classification: for the WEBEmo dataset by 1.6%, the FI-8 dataset by 2.2%, and for the EmoSet-118K dataset by 2.52% higher accuracies than the baseline case.…”
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The data visualization and intelligent text analysis for effective evaluation of English language teaching by Zihe Wu, Ye Zhang

“…In this study, data visualization technology is used to transform students’ learning data into intuitive charts, and intelligent text analysis technology is used to deeply explore students’ writing and oral performance in order to achieve accurate teaching decisions. …”
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Transformer-Based Model for Monocular Visual Odometry: A Video Understanding Approach by Andre O. Francani, Marcos R. O. A. Maximo

“…Our approach achieved competitive state-of-the-art performance compared with geometry-based and deep learning-based methods on the KITTI visual odometry dataset, outperforming the DeepVO implementation highly accepted in the visual odometry community. …”
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Visual assessment of leaf area index in coffee (Coffea arabica L.) fields by Sergio A. Castro-Pacheco, María I. González-Lutz, José M. Araya-Alfaro, Mariano Vargas-Chinchilla, Marco V. Gutiérrez-Soto

“…The objective of this study was to develop a methodology for the visual assessment of LAI in coffee fields and to establish a protocol for training, evaluation, and feedback for evaluators. …”
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Deep Neural Framework With Visual Attention and Global Context for Predicting Image Aesthetics by Yifei Xu, Nuo Zhang, Pingping Wei, Genan Sang, Li Li, Feng Yuan

“…Specifically, the framework can be any state-of-the-art convolution classification network compatible with visual attention. Further, self-generated global feature compensates for the loss of global context information during training stage, and the hybrid loss guides the network to learn the similarity between the predicted aesthetic scores and the ground-truths through fusing soft-max-entropy and Earth Mover’s Distance(EMD). …”
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MULTIDISCIPLINARY APPROACH TO THE CORRECTION OF ACCOMMODATION REFRACTION DISORDERS IN VISUALLY INTENSIVE LABOR PERSONS by I. G. Ovechkin, V. E. Yudin, G. A. Emel’yanov, A. V. Mironov

“…Increased load on the visual analyzer of an operator, increase in everyday visual performance, universal introduction of information displaying on cathode-ray tubes result in temporary and stable visual disturbances. …”
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Unsupervised Visual-to-Geometric Feature Reconstruction for Vision-Based Industrial Anomaly Detection by Dinh-Cuong Hoang, Phan Xuan Tan, Anh-Nhat Nguyen, Duc-Thanh Tran, Van-Hiep Duong, Anh-Truong Mai, Duc-Long Pham, Khanh-Toan Phan, Minh-Quang Do, Ta Huu Anh Duong, Tuan-Minh Huynh, Son-Anh Bui, Duc-Manh Nguyen, Viet-Anh Trinh, Khanh-Duong Tran, Thu-Uyen Nguyen

“…Specifically, we use pre-trained 2D and 3D models to extract visual features from color images and geometric features from 3D point clouds. …”
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Visual information guided multi-modal model for plant disease anomaly detection by Jiuqing Dong, Yifan Yao, Alvaro Fuentes, Yongchae Jeong, Sook Yoon, Dong Sun Park

“…Therefore, we propose guiding the vision-language model with visual information to address this issue. Additionally, we find that utilizing the general knowledge extracted by the original vision-language model can further enhance anomaly detection performance. …”
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Advancing Model Explainability: Visual Concept Knowledge Distillation for Concept Bottleneck Models by Ju-Hwan Lee, Dang Thanh Vu, Nam-Kyung Lee, Il-Hong Shin, Jin-Young Kim

“…Our methodology shows competitive performance against existing concept models, and the student model, trained via VICO-KD, exhibits enhanced performance compared to the teacher during interventions. …”
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A Hybrid Deep Learning–Based Approach for Visual Field Test Forecasting by Ashkan Abbasi, PhD, Sowjanya Gowrisankaran, PhD, Wei-Chun Lin, MD, PhD, Xubo Song, PhD, Bhavna Josephine Antony, PhD, Gadi Wollstein, MD, Joel S. Schuman, MD, Hiroshi Ishikawa, MD

“…Objective: Longitudinal assessment of visual field (VF) testing is essential in glaucoma management. …”
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Problems and perspectives of family doctors training on the undergraduate stage by Yu. M. Kolesnik, V. D. Syvolap, N. S. Mikhaylovskaya, T.O. Kulinich

“…Computer presentations, videos, case-technology and other innovative methods are widely used for training optimization. For working on practical part of family doctors basic skills it is planned to organize educational and training center at the family ambulatory, and its equipment with the necessary visual means, phantoms, models, simulators, diagnostic, medical apparatus and instruments. …”
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Detection and Recognition of Visual Geons Based on Specific Object-of-Interest Imaging Technology by Yonghao Wu, Minyi Liu, Jun Li

“…Experiments validate the core hypothesis of geon theory, namely that geons are foundational components for the visual system to recognize complex objects. Through training, neural networks are capable of identifying distinct basic geons and, on this basis, performing target recognition in more complex scenarios. …”
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PRE-SERVICE TEACHERS’ SYMBOLIC-VISUAL REPRESENTATION SKILLS IN ADDING AND SUBTRACTING FRACTIONS by Arwan Mhd. Said, Purwanto Purwanto, Erry Hidayanto, Rustanto Rahardi

“…It specifically aimed to analyze the teachers’ ability to construct either a symbolic or visual representation in fraction operations. A case study was conducted by involving 17 fifth-semester students who were enrolled in a teacher training course at one of universities in Ternate, Indonesia. …”
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An anthropomorphic phantom for atrial transseptal puncture simulation training by Aya Mutaz Zeidan, Zhouyang Xu, Lisa Leung, Calum Byrne, Sachin Sabu, Yijia Zhou, Christopher Aldo Rinaldi, John Whitaker, Steven E. Williams, Jonathan Behar, Aruna Arujuna, R. James Housden, Kawal Rhode

“…Conclusions The TSP simulator can be incorporated into training programs, offering trainees the opportunity to improve tool handling, spatial coordination, and manual dexterity prior to performing the procedure on patients. …”
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The impact of time pressure on decision-making and visual search characteristics in basketball players by Zhi Guo, Qiulin Wang

“…ObjectiveThis study aimed to investigate the effects of time pressure on decision-making and visual search behavior among college basketball players with different levels of expertise.MethodsFollowing the expert–novice paradigm, a total of 40 male participants were recruited, including 20 trained basketball athletes and 20 non-athlete college students. …”
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Envisioning Answers: Unleashing Deep Learning for Visual Question Answering in Artistic Images by Erfan Zolghadriha, Kazim Fouladi-Ghaleh, Pouya Ardehkhani

“…The approach involves employing a pre-trained BERT model to understand query nature and using the iQAN model with MLB and MUTAN mechanisms for visual queries, along with an XLNet-based model for knowledge-based information. …”
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