Multi-Stage Audio-Visual Fusion for Dysarthric Speech Recognition With Pre-Trained Models by Chongchong Yu, Xiaosu Su, Zhaopeng Qian

“…The experiments based on UASpeech are designed to evaluate our proposed method. Compared with the results of the baseline method, the best word error rate (WER) of our proposed method was reduced by 13.5% on moderate dysarthric speech. …”
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Validation of the visual body image classification in adolescent idiopathic scoliosis: a retrospective study by Han Sol Kim, Jae Yoon Jeong, Yoon Jae Cho, Tae Sik Goh, Jung Sub Lee

“…Therefore, we sought to determine whether a classification method based on visual body images obtained through photography can be used to diagnose scoliosis. …”
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Seg-Eigen-CAM: Eigen-Value-Based Visual Explanations for Semantic Segmentation Models by Ching-Ting Chung, Josh Jia-Ching Ying

“…However, in this study, we highlight a common issue with gradient-based methods when generating visual explanations—these methods tend to emphasize background information, resulting in significant noise, especially when dealing with image segmentation tasks involving complex or cluttered backgrounds. …”
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Damage identification in RC bridges by confronting two approaches: visual inspection and numerical analysis by Mohammed Ayad, Nadir Boumechra, Karim Hamdaoui

“…The diagnosis of a real reinforced concrete bridge by a visual inspection is presented. Then, three numerical damage detection and localization methods, namely the eigenfrequency change method, the eigenstrain change method (Coordinate Modal Assurance Criterion – CO-MAC), and the strain energy change method, are explicitly presented. …”
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Enhanced nuclear information fusion and visual transformer for pathological breast cancer image classification by Qinyi Zhang, Honglei Gao, Wenhao Li, Zhipeng Xu, Ting Ouyang, Zongyun Gu

“…Furthermore, through visual representation, this study underscores the significance of nuclear information enhancement and wavelet position transformation in the EVT model, thereby further confirming the effectiveness and effectiveness of the method we proposed.…”
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Robust visual tracking using temporal regularization correlation filter with high-confidence strategy by Xiao-Gang Dong, Ke-Xuan Li, Hong-Xia Mao, Chen Hu, Tian Pu

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Post-integration based point-line feature visual SLAM in low-texture environments by Yanli Liu, Zhengyuan Feng, Heng Zhang, Wang Dong

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Streamlining Visual UI Design: Mining UI Design Patterns for Top App Bars by Ming Li, Zhenbo Zhang, Tao Lin

“…This method not only enhances the design efficiency of novice designers but also helps them understand successful design practices in various contexts. …”
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Visual Arts as a Participatory Design Technique Designing Better Environments with Youth and Children by Marjan Shahbzadeh

“…Despite their significant population and role, youth and children are usually neglected in the planning process. Use of visual arts is an effective method to stimulate participation of the younger generation and facilitate their expression of needs and concerns. …”
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Introducing Aberrations into Human Eye Models with High Precision for Objective Visual Quality Evaluation by Shuai Zhang, Xinheng Zhao, Da Li, Xing Zhao, Lin Zhang, Yan Wang

“…With the proposed method, it is expected to aid in clinical visual quality testing and assess the effect of refractive correction.…”
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Advanced Diabetic Retinopathy Detection with the R–CNN: A Unified Visual Health Solution by Sravya Valluri Sri, Srinivasu Parvathaneni Naga, Shafi Jana, Hołubowski Waldemar, Zielonka Adam

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Effectiveness of Self-determination Training Program on Social Self-efficacy in Adolescents with Visual Impairment by Razieh Ghanbari Sheikh Shabani, Mohammad Ashori

“…The statistical population included all adolescents with visual impairment in Isfahan City. The sample included 30 adolescents with visual impairment from Tawakkul Rehabilitation Center and Shahid Abedi School, who were selected using the convenience method. …”
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“Taman Telaga Teratai” Batik Motif as a Traditional Aesthetic Visual Communication Media by Komarudin Kudiya, Saftiyaningsih Ken Atik

“…The diversity of these ornamental styles is characteristic and unique within the Kasepuhan Palace, Kanoman Palace, Kacirebonan Palace, and Peguron Kaprabonan. The method used is a qualitative approach combined with an analytical descriptive method in the form of observations and interviews with cultural stakeholders of the Cirebon palace. …”
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Mamba-DQN: Adaptively Tunes Visual SLAM Parameters Based on Historical Observation DQN by Xubo Ma, Chuhua Huang, Xin Huang, Wangping Wu

“…To achieve parameter adaptation in visual SLAM, we propose the Mamba-DQN method, which transforms complex parameter adjustment tasks into policy learning assignments for the agent. …”
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Affective Image Captioning for Visual Artworks Using Emotion-Based Cross-Attention Mechanisms by Shintaro Ishikawa, Komei Sugiura

“…Moreover, we introduce affective tokens that fuse grid- and region-based image features to cover both contextual and object-level information. We validated our method on the ArtEmis dataset, and the results demonstrated that our method outperformed baseline methods on all metrics in the emotion-conditioned task.…”
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Intelligent recognition technology of high speed moving target contour in dynamic visual scene by Min Qiu

“…The experimental results show that when using this method for high-speed moving target recognition, the recognition effect is good and the accuracy is high.…”
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A Neurolinguistic View of the Visual Stimulus Selection System and the Auditory Processing of Children's Language by Ni Luh Sukanadi, I Ketut Wardana, Putu Sri Astuti

“…The informants of this study were 22 elementary school children. The method used to collect data in this study is the method of observation and literature with recording and note-taking techniques. …”
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Back to the Context: Tuning Visual Localization Using Structural and Edge Context Within Image by Nanda Febri Istighfarin, Seongwon Lee, HyungGi Jo

“…Among various methods, the scene coordinate regression network is a recent approach. …”
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Sine Cosine Optimization With Deep Learning–Driven Object Detector for Visually Impaired Persons by Hadeel Alsolai, Fahd N. Al-Wesabi, Abdelwahed Motwakel, Suhanda Drar

“…In real-time, visually impaired persons face challenging issues in identifying and avoiding obstacles in their path, making it difficult to move around freely and confidently. …”
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Material Visual Perception and Discharging Robot Control for Baijiu Fermented Grains in Underground Tank by Yan Zhao, Zhongxun Wang, Hui Li, Chang Wang, Jianhua Zhang, Jingyuan Zhu, Xuan Liu

“…According to its structural characteristics and working conditions, a visual-perception-based motion control method of discharging fermented grains is determined. …”
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