Quantifying lens obstructions in minimally invasive surgery: the impact on performance and outcomes by Maciej Łącki, Megha Kalia, Nidhi Abraham, Sukesh Adiga Vasudeva, Dicken S. C. Ko, Timothée Bernard, Amy Lorincz

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Why to Fail Fast and Often: A Strategy for OT Safety and Security Evaluation by Mukund Bhole, Thilo Sauter, Sabrina Semper, Wolfgang Kastner

“…Next, compliance checks and risk assessments are conducted using standards such as IEC 62443-3-3 and methods like LOPA, SEFR (HAZID), STRIDE, and DREAD. …”
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ATDMNet: Multi-Head Agent Attention and Top-k Dynamic Mask for Camouflaged Object Detection by Rui Fu, Yuehui Li, Chih-Cheng Chen, Yile Duan, Pengjian Yao, Kaixin Zhou

“…Camouflaged object detection (COD) encounters substantial difficulties owing to the visual resemblance between targets and their environments, together with discrepancies in multiscale representation of features. …”
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Determination of pedestrian accessibility for urban public transport stops by S. S. Voitenkov, M. V. Banket

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Current trends and landscape of drug resistance in renal cell carcinoma: a bibliometric analysis by Kenan Zhang, Shixu Chen, Zhenzhen Zhou, Shuanbao Yu, Yonghao Zhan, Xuepei Zhang

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DNEA: an R package for fast and versatile data-driven network analysis of metabolomics data by Christopher Patsalis, Gayatri Iyer, Marci Brandenburg, Alla Karnovsky, George Michailidis

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Bibliometric analysis of current trends and emerging patterns in the application of nanomaterials for non-small cell lung cancer by Shanshan Cai, Weichang Yang, Hongquan Xing, Jiale Yang, Hongdan Luo, Xiaoqun Ye

“…For the bibliometric and visual analyses, we employed VOSviewer (version 1.6.20), CiteSpace (version 6.1.6), and R-bibliometrix (version 4.3.2). …”
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Cancer immunotherapy nursing care from 2004 to 2023: a bibliometric analysis by Linjuan Li, Ruyu Ge, Tingting Wu, Hongyan Du, Xuanwei Zhang, Shiqi Tao, Linjun Zhong, Mingxia Li, Yan Fu, Yang Zhang

“…Tools such as GraphPad, CiteSpace, and VOSviewer were used to visualize the data and identify influential authors, journals, and research topics.ResultsA total of 4526 publications were included. …”
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InCrowd-VI: A Realistic Visual–Inertial Dataset for Evaluating Simultaneous Localization and Mapping in Indoor Pedestrian-Rich Spaces for Human Navigation by Marziyeh Bamdad, Hans-Peter Hutter, Alireza Darvishy

“…Simultaneous localization and mapping (SLAM) techniques can be used to navigate the visually impaired, but the development of robust SLAM solutions for crowded spaces is limited by the lack of realistic datasets. …”
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Visual Cortical Function Changes After Perceptual Learning with Dichoptic Attention Tasks in Adults with Amblyopia: A Case Study Evaluated Using fMRI by Chuan Hou, Zhangziyi Zhou, Ismet Joan Uner, Spero C. Nicholas

“…While studies demonstrated that perceptual learning improves visual acuity and stereopsis in adults with amblyopia, accompanying changes in visual cortical function remain unclear. …”
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Re-Visioning Ethnography Through Meditative Practice: The Proposal for a Contemplative Anthropology and Its Experience through Visual Elicitation Technique by Federico Divino

“…This article introduces a novel method presently in development that integrates ethnography and visual elicitation techniques to explore meditative experiences and investigate consciousness. …”

Spatial Distribution of Poverty Clusters and Its Prediction Algorithms: A Visual Analytics Approach to Understanding the Disparities of Poverty Across Zones by Ngong'ho Bujiku Sende, Snehanshu Saha, Leon Fidele Ruganzu Uwimbabazi

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An intelligent object detection and classification framework for assisting visually challenged persons using deep learning and improved crow search optimization by Alaa O. Khadidos, Ayman Yafoz

“…This study proposes a Hybrid DL Model for Object Detection and Classification Using an Improved Crow Search Algorithm (HDLMODC-ICSA) method. The HDLMODC-ICSA method primarily focuses on an accurate and real-time object recognition method to assist visually challenged persons. …”
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Enhancing transportation network intelligence through visual scene feature clustering analysis with 3D sensors and adaptive fuzzy control by Jing Xu

“…To enhance the level of intelligence in transportation networks, we propose a visual scene feature clustering analysis method based on 3D sensors and adaptive fuzzy control to address the various complex environments encountered. …”
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Visual search of neuropil-enriched RNAs from brain in situ hybridization data through the image analysis pipeline hippo-ATESC. by Roberto Ugolotti, Pablo Mesejo, Samantha Zongaro, Barbara Bardoni, Gaia Berto, Federico Bianchi, Federico Bianchi, Ivan Molineris, Mario Giacobini, Stefano Cagnoni, Ferdinando Di Cunto

“…Moreover, we show that our method can also highlight genes revealed by microdissection-based methods but missed by human visual inspection. …”
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The Effect of Audio Visual-Based Inquiry Learning Model on Elementary Student Learning Outcomes in Science and Technology Subjects in Class IV by Nelli Kristina Sianturi, Juliana, Patri Janson Silaban, Bogor Lumbanraja, Nova Florentina Ambarwati

“…The research method used is an experimental method with quantitative research. …”
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DSC-Net: Enhancing Blind Road Semantic Segmentation with Visual Sensor Using a Dual-Branch Swin-CNN Architecture by Ying Yuan, Yu Du, Yan Ma, Hejun Lv

“…In modern urban environments, visual sensors are crucial for enhancing the functionality of navigation systems, particularly for devices designed for visually impaired individuals. …”
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Deep Learning-Based Fake-Banknote Detection for the Visually Impaired People Using Visible-Light Images Captured by Smartphone Cameras by Tuyen Danh Pham, Chanhum Park, Dat Tien Nguyen, Ganbayar Batchuluun, Kang Ryoung Park

“…Moreover, the types of fake banknotes created by imaging devices such as smartphone cameras or scanners are sometimes cannot be recognized by especially the visually impaired people. Addressing these problems, we propose a method for classifying fake and genuine banknotes using visible-light images captured by smartphone cameras based on convolutional neural networks. …”
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EVI‐SAM: Robust, Real‐Time, Tightly‐Coupled Event–Visual–Inertial State Estimation and 3D Dense Mapping by Weipeng Guan, Peiyu Chen, Huibin Zhao, Yu Wang, Peng Lu

“…Event cameras demonstrate substantial potential in handling challenging situations, such as motion blur and high dynamic range. Herein, event–visual–inertial state estimation and 3D dense mapping (EVI‐SAM) are introduced to tackle the problem of pose tracking and 3D dense reconstruction using the monocular event camera. …”
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A Novel Approach for Visual Speech Recognition Using the Partition-Time Masking and Swin Transformer 3D Convolutional Model by Xiangliang Zhang, Yu Hu, Xiangzhi Liu, Yu Gu, Tong Li, Jibin Yin, Tao Liu

“…Visual speech recognition is a technology that relies on visual information, offering unique advantages in noisy environments or when communicating with individuals with speech impairments. …”
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