An investigation into the comfort and neural response of textured visual stimuli in pediatric SSVEP-based BCI by Emily Schrag, Daniel Comaduran Marquez, Adam Kirton, Eli Kinney-Lang

“…Abstract Steady-state visual evoked potential (SSVEP)-based brain–computer interfaces (BCIs) are widely used due to their reliability and possible training-free setup. …”
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Looming Detection in Complex Dynamic Visual Scenes by Interneuronal Coordination of Motion and Feature Pathways by Bo Gu, Jianfeng Feng, Zhuoyi Song

“…Existing insect‐inspired looming detection models typically rely on either motion‐pathway or feature‐pathway signals, yet both are susceptible to dynamic visual scene interference. Coordinating interneuron signals from both pathways can enhance the looming detection performance under dynamic conditions. …”
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Application of virtual reality technology in elderly frailty rehabilitation: a bibliometric and visual analysis by ZHOU Hui, CHEN Shuo, WENG Changshui, JIANG Tianyu, ZHANG Chi, ZHANG Li

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Metacognitive practices in training for essay writing in a target language by S. Volkov

“…The relevance of the article stems from the problem of common student frustration with their essay writing performance in target language training. The issue is manageable when integrating essay writing skills with practices that use metacognitive strategies in cognitive processes. …”
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Multiple model visual feature embedding and selection method for an efficient ocular disease classification by Isha Kansal, Vikas Khullar, Preeti Sharma, Supreet Singh, Junainah Abd Hamid, A. Johnson Santhosh

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Investigating visual perception abilities in flight cadets: the crucial role of the lingual gyrus and precuneus by Xi Chen, Shicong Zhang, Shipeng Dong, Qingbin Meng, Peiran Xu, Qi Chu, Donglin Huang, Cheng Luo

“…These results provide a foundation for improving flight training programs and selecting suitable flight trainees based on neurophysiological markers of visual perception.…”
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Classifying microfossil radiolarians on fractal pre-trained vision transformers by Kazuhide Mimura, Takuya Itaki, Hirokatsu Kataoka, Ayumu Miyakawa

“…In addition, it has been proposed that the pre-training of classification models using mathematically generated images instead of real images, called formula-driven supervised learning (FDSL), achieves a comparative or even higher performance in visual understanding. …”
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DK-SLAM: Monocular Visual SLAM with Deep Keypoint Learning, Tracking, and Loop Closing by Hao Qu, Lilian Zhang, Jun Mao, Junbo Tie, Xiaofeng He, Xiaoping Hu, Yifei Shi, Changhao Chen

“…The performance of visual SLAM in complex, real-world scenarios is often compromised by unreliable feature extraction and matching when using handcrafted features. …”
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Relationship Between Refractive Error, Visual Acuity, and Postural Stability in Elite Football Players by Miguel Oliveira, Rui Fuste, Javier Gene-Morales, Andrés Gené-Sampedro, Jorge Jorge

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E-CLIP: An Enhanced CLIP-Based Visual Language Model for Fruit Detection and Recognition by Yi Zhang, Yang Shao, Chen Tang, Zhenqing Liu, Zhengda Li, Ruifang Zhai, Hui Peng, Peng Song

“…This problem stems from their reliance on unimodal visual data, which creates a semantic gap between image features and contextual understanding. …”
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Real-Time Deep Intelligence Analysis and Visualization of COVID-19 Using FCNN Mechanism by Cherukuri Triveni, K. Suvarna Vani, M. Likhitha

“…So that covid 19 pandemic data analysis is performed through FCNN (Fully conventional Neural Network) pre-training network. …”
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Glaucoma detection and staging from visual field images using machine learning techniques. by Nahida Akter, Jack Gordon, Sherry Li, Mikki Poon, Stuart Perry, John Fletcher, Thomas Chan, Andrew White, Maitreyee Roy

“…Moreover, four ML models were trained from the global indices: mean deviation (MD), pattern standard deviation (PSD) and visual field index (VFI), using five-fold CV to compare the classification performance with the DL model's result.…”
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Design-LIME: An Interpretable Visualization Method for Electric Motor Design Based on Deep Learning by Kazuhisa Iwata, Hidenori Sasaki

“…We employ a pre-trained deep learning (DL) model to predict the degree of influence of transitions from air to magnetic materials, and build an interpretable linear model to display the visualization result. …”
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Image processing algorithm of visual communication design based on deep learning in digital background by Xugang Hou, Qian Liu, Xiaoying Zhang

“…Abstract This study addresses the growing demand for image processing in visual communication design by proposing a deep learning (DL)-based algorithm to enhance creative efficiency and precision. …”
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Aircraft Skin Machine Learning-Based Defect Detection and Size Estimation in Visual Inspections by Angelos Plastropoulos, Kostas Bardis, George Yazigi, Nicolas P. Avdelidis, Mark Droznika

“…Aircraft maintenance is a complex process that requires a highly trained, qualified, and experienced team. The most frequent task in this process is the visual inspection of the airframe structure and engine for surface and sub-surface cracks, impact damage, corrosion, and other irregularities. …”
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Topical issues of personnel training in the field of unmanned aircraft systems by I. V. Blagodaryashchev, M. A. Kiselev, R. S. Naumov, V. S. Shapkin

“…UAS personnel training programs for various aviation types are not harmonized, which leads to the failure to credit previously received education in training to perform activities in another aviation type. …”
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Reliable Tuberculosis Detection Using Chest X-Ray With Deep Learning, Segmentation and Visualization by Tawsifur Rahman, Amith Khandakar, Muhammad Abdul Kadir, Khandaker Rejaul Islam, Khandakar F. Islam, Rashid Mazhar, Tahir Hamid, Mohammad Tariqul Islam, Saad Kashem, Zaid Bin Mahbub, Mohamed Arselene Ayari, Muhammad E. H. Chowdhury

“…Nine different deep CNNs (ResNet18, ResNet50, ResNet101, ChexNet, InceptionV3, Vgg19, DenseNet201, SqueezeNet, and MobileNet) were used for transfer learning from their pre-trained initial weights and were trained, validated and tested for classifying TB and non-TB normal cases. …”
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Ferroelectric and Optoelectronic Coupling Effects in Layered Ferroelectric Semiconductor‐Based FETs for Visual Simulation by Can Zhao, Zhaotan Gao, Zian Hong, Hongzhi Guo, Zhili Cheng, Yawei Li, Liyan Shang, Liangqing Zhu, Jinzhong Zhang, Zhigao Hu

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Developments in research on monitoring training loads in athletes: bibliometric analysis by Muhamad Fahmi Hasan, Tommy Apriantono, Bagus Winata, Trisha Aryanti Septina, Gifran Rihla Gifarka Latief, Yudhi Teguh Pambudi

“… Monitoring training load can help improve performance, predict injury risk, determine athlete readiness, and keep track of health conditions. …”
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Complex monitoring of the sports training level depending on dietary lipids by Veaceslav MANOLACHI

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