ESC-Track: A computer workflow for 4-D segmentation, tracking, lineage tracing and dynamic context analysis of ESCs by Laura Fernández-de-Manúel, Covadonga Díaz-Díaz, Daniel Jiménez-Carretero, Miguel Torres, María C. Montoya

“…Here, we present the ESC-Track (ESC-T) workflow, which includes an automated cell and nuclear segmentation and tracking tool for 4-D (3-D + time) confocal image data sets as well as a manual editing tool for visual inspection and error correction. …”
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Wavelet-Enhanced Desnowing: A Novel Single Image Restoration Approach for Traffic Surveillance Under Adverse Weather Conditions by Zihan Shen, Yu Xuan, Qingyu Yang

“…Image restoration under adverse weather conditions refers to the process of removing degradation caused by weather particles while improving visual quality. Most existing deweathering methods rely on increasing network scale and data volume to achieve better performance, which requires more expensive computing power. …”
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Research on accurate fire source localization and seconds-level autonomous fire extinguishing technology by Xu Ren, Keyu Qu, Junlong Guo, Hesheng Yin, Bo Huang

“…So we proposed to use the visual information, thermal imaging morphological and thermal data of the flame for deep learning, which greatly improves the adaptability of flame recognition. …”
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Enhanced path planning for robot navigation in Gaussian noise environments with YOLO v10 and depth deterministic strategies by Feng Xiao, Shiwei Chu, Xing Guo, Youhai Zhang, Rubing Huang

“…The weighted average method is used to fuse the visual information of YOLO v10 with LiDAR data. The robot’s status and surrounding environment are tracked through real-time feedback mechanism. …”
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Integrating Technology Acceptance Model With UTAUT to Increase the Explanatory Power of the Effect of HCI on Students’ Intention to Use E-Learning System and Perceive Succes... by Fareed Al-Sayid, Gokhan Kirkil

“…This paper proposes a comprehensive model, integrating the technology acceptance model (TAM) and unified theory of acceptance and use of technology (UTAUT). The data were collected via an online survey conducted on 232 students utilizing the Khas Learn system of Kadir has University in Turkey. …”
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Reflection-AI: artificial intelligence as a redefining force for expressive filmmaking in film schools by Ana Laura Monserrat, Ana Laura Monserrat, Nahuel Matias Srnec, Nahuel Matias Srnec

“…Results reveal a consistent ambivalence: while text-based AI tools were perceived as helpful, visual AI outputs were often described as inauthentic, overly polished, or hegemonic. …”
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HETMCL: High-Frequency Enhancement Transformer and Multi-Layer Context Learning Network for Remote Sensing Scene Classification by Haiyan Xu, Yanni Song, Gang Xu, Ke Wu, Jianguang Wen

“…To solve this problem, we propose a novel method based on High-Frequency Enhanced Vision Transformer and Multi-Layer Context Learning (HETMCL), which can effectively learn the comprehensive features of high-frequency and low-frequency information in visual data. First, Convolutional Neural Networks (CNNs) extract low-level spatial structures, and the Adjacent Layer Feature Fusion Module (AFFM) reduces semantic gaps between layers to enhance spatial context. …”
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Interactions Between Sea Turtles and Fishing Along the Aegean Coast of Turkey by Akile Esenlioğulları Mete, Zafer Tosunoğlu

“…In this study, the interactions (encountering and bycatching) of the sea turtles with fisheries in the Aegean Sea were investigated. Data were collected by face-to-face survey with a total of 404 fishermen in 98 fisheries cooperatives for 5 provinces (Çanakkale, Balıkesir, İzmir, Aydın and Muğla) between August 2016 and October 2017. …”
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Religious affiliation and perceptions of healthcare access during and after COVID-19 in Poland by Magdalena Tuczyńska, Maja Matthews-Kozanecka, Ewa Baum, Ewa Baum

“…The research employed a cross-sectional survey design with a validated questionnaire. Data collection occurred during the third wave of the pandemic and the post-pandemic period. …”
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The Effect of Pictorial versus Linguistic Context on Iranian EFL Learners’ Reading Comprehension by Mohammad Reza Khodadust, Sheida Ahmadi Navareh, Fatemeh Faramarzi Kohnehshahri

“…This has implications for educational policymakers, textbook designers, material developers, language teachers, and learners, advocating for the use of adequate visual contexts to facilitate more effective learning.…”
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Real-Life Efficacy of Bevacizumab Treatment for Macular Edema Secondary to Central Retinal Vein Occlusion according to Pro Re Nata or Treat-and-Extend Regimen in Eyes with or witho... by Moustafa Hamam, Neil Lagali, Elie Abdulnour, Helen Setterud, Björn Johansson, Pierfrancesco Mirabelli

“…Purpose. To present real-life data of patients with macular edema (ME) secondary to central retinal vein occlusion (CRVO) treated with bevacizumab (BVZ); determine the possible influence of epiretinal membrane (ERM) on treatment efficacy; and compare treatment outcomes in a treat-and-extend regimen (TER) versus pro re nata (PRN). …”
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Practices and Attitudes of Dental Loupes and Their Relationship to Musculoskeletal Disorders among Dental Practitioners by Khalid Aboalshamat, Ola Daoud, Lina Ayman Mahmoud, Sakina Attal, Rahaf Alshehri, Duaa Bin Othman, Reem Alzahrani

“…A dental loupe is a tool used by many dentists and dental students to improve visual field and performance. This study aims to assess the practices and attitudes about dental magnification loupes and their relationship to musculoskeletal disorders. …”
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Inspection of Defective Glass Bottle Mouths Using Machine Learning by Daiki Tomita, Yue Bao

“…Although cosmetic bottles are subject to strict quality inspections from the standpoint of safety, the complicated shape of the glass bottle mouths makes automated inspections difficult, and visual inspections have been the norm. Visual inspections conducted by workers have become problematic because it has become clear that the standard of judgment differs from worker to worker and that inspection accuracy deteriorates after long hours of work. …”
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Coverage estimation of benthic habitat features by semantic segmentation of underwater imagery from South-eastern Baltic reefs using deep learning models by Andrius Šiaulys, Evaldas Vaičiukynas, Saulė Medelytė, Kazimieras Buškus

“…With the development of new camera systems, from hand-held or simple “drop-down” cameras to ROV/AUV-mounted video systems, video data collection has increased considerably. However, the processing and analysing of vast amounts of imagery can become very labour-intensive, thus making it ineffective both time-wise and financially. …”
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A importância da equipe interdisciplinar no diagnóstico de dislexia do desenvolvimento: relato de caso The importance of interdisciplinary staff in the diagnosis of developmental d... by Magda S. Vanzo Pestun, Sylvia Ciasca, Vanda Maria Gimenes Gonçalves

“…These data suggest that the child has developmental dyslexia of mixed type, requiring psychopedagogic follow-up.…”
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Ocular abnormalities in patients with chronic renal failure on haemodial-ysis: A study from a rural tertiary care teaching institute. by Inchara N, Narayan M, Praveen Kumar B A

“…Statistical analysis used: Data were analyzed using Microsoft excel and represented using mean, standard deviation, ratio, and percentages. …”
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Characteristics of Local Anisotropy Fields of Paper Structure and Deformation Properties by Mariya M. Lysachenkova, Yakov V. Kazakov, Dmitry G. Chukhchin

“…Analysis of experimental data and their statistical processing has made it possible to obtain a visual representation of the distribution of local characteristics of the structure, as well as deformation and strength properties. …”
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A Hybrid Framework for Referring Image Segmentation: Dual-Decoder Model with SAM Complementation by Haoyuan Chen, Sihang Zhou, Kuan Li, Jianping Yin, Jian Huang

“…These methods, although effective, often overlook the interconnectedness of pixels, which can be crucial for interpreting complex visual scenes. Furthermore, while the PolyFormer model has shown impressive performance in RIS, its large number of parameters and high training data requirements pose significant challenges. …”
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Childhood Obesity and Overweight in Ghana: A Systematic Review and Meta-Analysis by Prince Kwaku Akowuah, Emmanuel Kobia-Acquah

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Image-based yield prediction for tall fescue using random forests and convolutional neural networks by Sarah Ghysels, Bernard De Baets, Dirk Reheul, Steven Maenhout

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