Optimizing and Visualizing Drone Station Sites for Cultural Heritage Protection and Research Using Genetic Algorithms by Seok Kim, Younghee Noh

“…Visualization clearly illustrates the optimization process. …”
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Cross-Modal Complementarity Learning for Fish Feeding Intensity Recognition via Audio–Visual Fusion by Jian Li, Yanan Wei, Wenkai Ma, Tan Wang

“…To address these problems, we propose the Adaptive Cross-modal Attention Fusion Network (ACAF-Net), a cross-modal complementarity learning framework with a two-stage attention fusion mechanism: (1) a cross-modal enhancement stage that enriches individual representations through Low-rank Bilinear Pooling and learnable fusion weights; (2) an adaptive attention fusion stage that dynamically weights acoustic and visual features based on complementarity and environmental reliability. …”
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Comparison of cervical cancer screening by visual inspection with acetic acid versus cervical-cytology in pregnancy by Saritha Shamsunder, Deepika Pannu, Geetika Khanna, Ananya Banerjee, Vijay Zutshi, Sunita Malik

“…Aims: The aim of this study was to compare visual inspection with acetic acid (VIA) with cervical cytology for cervical cancer screening in pregnant women. …”
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Adaptive and Asymmetrical Blending for Bi-Directional Inter Prediction of Various Visual Contents in Video Coding by Minhun Lee, Donggyu Sim

“…Experimental results demonstrate that the algorithm achieves a Bjøntegaard Delta bitrate (BD-rate) savings of 0.86% and 0.50% for low-delay B and random-access configurations, respectively, compared to VVC. …”
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Comparative Study of Cervical Pap Smear and Visual Inspection of The Cervix To Detect Premalignant Disease of The Cervix by Rozhan Yassin Khalil, Khanda Abdolrahman Qader

“…In conclusion, cervix visual inspection method for cancer had a low rate sensitivity compare with pap smear with a non-significant relationship between the two methods and Pap smear needed to conform visual inspection for cervical cancer. …”
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A hybrid local-global neural network for visual classification using raw EEG signals by Shuning Xue, Bu Jin, Jie Jiang, Longteng Guo, Jing Liu

“…Abstract EEG-based brain-computer interfaces (BCIs) have the potential to decode visual information. Recently, artificial neural networks (ANNs) have been used to classify EEG signals evoked by visual stimuli. …”
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Fusion of Visual Attention and Scene Descriptions With Deep Reinforcement Learning for AAV Indoor Autonomous Navigation by Hussein Samma, Ahmed Abubaker, Mubarak Badamasi Aremu, Mohammed Abdel-Nasser, Sami El-Ferik

“…Autonomous indoor AAV navigation in GPS-denied environments is challenging. Issues include low lighting and obstacles. This work proposes a dual guidance framework to address these challenges. …”
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Clinical Characteristics, Treatment, and Visual Prognosis in Pediatric Endophthalmitis: A 232-Case Retrospective Study by Fantao Lv, Haiyan Wang, Dawei Zhang, Shengwei Wu

“…The main purpose of this study is to investigate the etiology, epidemiology, treatment, and visual prognosis of children’s endophthalmitis and to conduct an in-depth analysis. …”
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Clinical Features and Visual Acuity Outcomes in Culture-Positive Endogenous Fungal Endophthalmitis in Southern China by Fang Duan, Yao Yang, Zhaohui Yuan, Yongxin Zheng, Zhixing Cheng, Xiaofeng Lin

“…To report the causative organisms, management strategies, and visual outcomes of culture-proven endogenous fungal endophthalmitis in a case series from southern China. …”
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Efficient Visual-Aware Fashion Recommendation Using Compressed Node Features and Graph-Based Learning by Umar Subhan Malhi, Junfeng Zhou, Abdur Rasool, Shahbaz Siddeeq

“…The VAGCN framework employs a deep-stacked autoencoder to convert the input image’s high-dimensional raw CNN visual features into more manageable low-dimensional representations. …”
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Visual Outcomes of Ultrathin-Descemet Stripping Endothelial Keratoplasty versus Descemet Stripping Endothelial Keratoplasty by Konstantinos Droutsas, Myrsini Petrelli, Dimitrios Miltsakakis, Konstantinos Andreanos, Anastasia Karagianni, Apostolos Lazaridis, Chrysanthi Koutsandrea, George Kymionis

“…After excluding subjects with low visual potential, 34 eyes were divided into two groups based on the postoperative GT as measured with anterior segment optical coherence tomography (AS-OCT): an UT-DSAEK group (GT ≤ 100 μm, n=13 eyes) and a DSAEK group (GT > 100 μm, n=21 eyes). …”
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Visual Performance of Eyes with Residual Refractive Errors after Implantation of an Extended Vision Intraocular Lens by Laureano A. Rementería-Capelo, Inés Contreras, Aida Morán, Pilar Lorente-Hevia, Laura Mariñas, Javier Ruiz-Alcocer

“…Uncorrected (UDVA) and corrected distance visual acuity (CDVA) were measured three months after surgery, considering CDVA as the reference situation of the study. …”
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RT-DETR-Pro: An Enhanced RT-DETR Model for Visual Detection of Photovoltaic Module Defects by Yunliang Chen, Mingtao Shan, Wei Zhou, Bing Ma, Xun Mei

“…An enhanced RT-DETR (Real-Time Detection Transformer) model, RT-DETR-Pro, is proposed to address the problem of low recognition rates for visual detection of PV (photovoltaic) module defects by traditional object detection methods. …”
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Visual Snow Syndrome is unstable: A longitudinal investigation of VSS symptoms in a Naïve population by Amy Claire Thompson, Patrick T. Goodbourn, Jason D. Forte

“…VSS is a recently characterised neurological condition, whose primary symptom is visual snow (dynamic noise in the visual field). There is evidence that VSS may be common in the general population and that it is unnoticed by many who experience it. …”
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Decoding Brain Signals from Rapid-Event EEG for Visual Analysis Using Deep Learning by Madiha Rehman, Humaira Anwer, Helena Garay, Josep Alemany-Iturriaga, Isabel De la Torre Díez, Hafeez ur Rehman Siddiqui, Saleem Ullah

“…This study aims to develop a deep learning model for the decoding of subjects’ responses to rapid-event visual stimuli and highlights the major factors that contribute to low accuracy in the EEG visual classification task.The proposed multi-class, multi-channel model integrates feature fusion to handle complex, non-stationary signals. …”
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A Secure Approach Out-of-Band for e-Bank with Visual Two-Factor Authorization Protocol by Laerte Peotta de Melo, Dino Macedo Amaral, Robson de Oliveira Albuquerque, Rafael Timóteo de Sousa Júnior, Ana Lucila Sandoval Orozco, Luis Javier García Villalba

“…The methodology involves implementing a prototype in Java ME for Android devices and a Java application server, creating a practical, low-computational-cost system, accessible for use across different operating systems and devices. …”
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A lysosome-targeted fluorescent probe with large Stokes shift for visualizing biothiols in vivo and in vitro by Taotao Zhao, Tong Zhang, Zijun Tao, Zhe Zhou, Xiaofeng Xia, Zhengjun Wu, Feiyi Wang, Jun Ren, Erfei Wang

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Price estimation and visual evaluation of actual white fabrics used for dress shirts and their photographic images by Maruyama Tomoya, Kim KyoungOk, Takatera Masayuki

“…In contrast, fabrics containing linen and having a small repeating dobby pattern with roughness were evaluated as having low Delicateness and Glossiness and were assessed at a lower price. …”
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Sparse camera volumetric video applications. A comparison of visual fidelity, user experience, and adaptability by Christopher Remde, Igor M. Sauer, Igor M. Sauer, Moritz Queisner, Moritz Queisner

“…Due to the hardware requirements and associated processing costs, this workflow is resource-intensive and expensive, making it unattainable for creators and researchers with smaller budgets. Low-cost volumetric video systems using RGBD cameras offer an affordable alternative. …”
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Ternary-Emission Molecularly Imprinted Ratiometric Fluorescence Sensor and Kit for the Rapid and Visual Detection of Enrofloxacin by Siwu Liu, Jingyi Yan, Dani Sun, Siyuan Peng, Jinhua Li, Huaying Fan

“…This study can provide a universal approach for the rapid and visual detection of ENR in complicated matrices.…”
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