Scene Graph and Natural Language-Based Semantic Image Retrieval Using Vision Sensor Data by Jaehoon Kim, Byoung Chul Ko

“…The experimental results on the Visual Genome dataset show that the proposed method achieves a top nDCG@50 score of 0.745, improving retrieval performance by approximately 7.7 percentage points compared to random sampling with full graphs. …”
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Unsupervised Anomaly Detection for Volcanic Deformation in InSAR Imagery by Robert Popescu, Nantheera Anantrasirichai, Juliet Biggs

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Training marine species object detectors with synthetic images and unsupervised domain adaptation by Heather Doig, Oscar Pizarro, Stefan Williams

“…Visual surveys by autonomous underwater vehicles (AUVs) and other underwater platforms provide a valuable method for analysing and understanding the benthic environment. …”
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Rip Current Identification in Optical Images Using Wavelet Transform by Hsu-Min Wang, Dong-Jiing Doong, Jian-Wu Lai

“…Despite their prevalence, rip currents remain difficult to detect visually, and no universally reliable method exists for their identification by beachgoers. …”
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Research on Abnormal State Detection of CZ Silicon Single Crystal Based on Multimodal Fusion by Lei Jiang, Haotan Wei, Ding Liu

“…The Czochralski method is the primary technique for single-crystal silicon production. …”
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Students Proportional Reasoning Level in Solving Ill Structured Problem on Proportion Material in Terms of Gregorc’s Thinking Style by Yasmine Az Zahra Awwalina Pramono, Abdussakir Abdussakir, Wahyu Henky Irawan, Imam Sujarwo

“…The differences in students' cognitive styles affect how they understand and apply the concept of proportional reasoning, including their ability to choose the appropriate method and maintain consistency in its application.…”
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Vehicle autonomous localization in local area of coal mine tunnel based on vision sensors and ultrasonic sensors. by Zirui Xu, Wei Yang, Kaiming You, Wei Li, Young-Il Kim

“…This paper presents a vehicle autonomous localization method in local area of coal mine tunnel based on vision sensors and ultrasonic sensors. …”
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The effect of virtual social networks on the musical life of North Khorasan from the 80s until now by Seyed Hossein Meisami, Simin Damavandi

“…The main question is how the changes will be made. The research method is qualitative and based on content analysis. …”
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Automated Reconstruction of Parametric BIM for Bridge Based on Terrestrial Laser Scanning Data by Guocheng Qin, Yin Zhou, Kaixin Hu, Daguang Han, Chunli Ying

“…The feasibility of the proposed method is evaluated and verified using theoretical and actual bridge point clouds, respectively. …”
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Research Trends in Project-Based Learning in Elementary Schools (2001-2024): Bibliometric Analysis by Purwandari Purwandari, Farida Huriawati, Viola Dea Amanda Sarry, Ita Susanti

“…This study aims to systematically analyze trends and developments in research related to PjBL in primary schools through a bibliometric approach, providing insights into the method's implementation in primary education. The study employs data retrieved from the Scopus database using the Publish or Perish tool, which is analyzed with VOSviewer to visualize trends in collaboration, keywords, and contributions of prominent authors. …”
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Design, Development, and Optimization of Polymeric Based-Colonic Drug Delivery System of Naproxen by Pooja Sharma, Anuj Chawla, Pravin Pawar

“…The core tablets were prepared by wet granulation method then press coated with hydroxypropyl cellulose (HPC) or Eudragit RSPO : RLPO mixture and further coated with Eudragit S-100 by dip immerse method. …”
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The Orthotropy Effect of Underground Inclusion on the Seismic Response of Ground Surface by S. Mojtabazadeh-Hasanlouei, M. Panji, M. Kamalian

“…This paper presents a formulation of the attenuated orthotropic time-domain half-space boundary element method for analyzing the orthotropic effect of underground inclusions subjected to transient SH-waves. …”
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Stability analysis of surrounding rocks of deeply-buried underground chambers based on the improved block theory and simulation using unwedge computer program by Fugui Tao, Anyi Lan, Lei Han, Xudan Sun, Zhixi Liu

“… To tackle the challenges of extensive drawing workloads and limited precision inherent in the application of block theory, this paper presents an optimization of block theory based on an improved vector method. Additionally, the Unwedge computer program is employed to conduct visual simulations of block theory applications, thereby enhancing the ease of utilizing block theory. …”
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Hand Tremor Characterization from a Spatiotemporal Convolutional Representation by Jessica Pedraza Cadena, John Edinson Archila Valderrama, Franklin Sierra-Jerez, Alejandra Moreno Tarazona, Fabio Martínez Carrillo

“…As for the resting scheme, the proposed method obtained an average accuracy of 90% and sensitivity of 80%. …”
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Imbibition Retention in the Process of Fluid Replacement in Tight Sandstone Reservoir by Xiong Liu, Yang Zhang, Desheng Zhou, Le Yan, Hai Huang, Xinru Li

“…In this study, an experimental method that can visualize the imbibition and displacement process is proposed by combining the core slice displacement experiment. …”
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Borax and Boric Acid Combination As Fire Retardant and Anti-termite Agents on Red Meranti Wood by Mahdi Santoso, Sutjipto A. Hadikusumo, Abdul Aziz

“…Testing the fire resistance referred ASTM E 69-02 B and anti-termite evaluation was conducted by no-choice feeding method. Observed parameters were absorption, actual retention, burn intensity, maximum combustion temperature, glowing time, termite mortality, mass loss, the degree of damage and visual observation. …”
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Using Partial Differential Equation Face Recognition Model to Evaluate Students’ Attention in a College Chinese Classroom by Xia Miao, Ziyao Yu, Ming Liu

“…The partial differential equation learning model is applied to another high-level visual-processing problem: face recognition. A novel feature selection method based on partial differential equation learning model is proposed. …”
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The best angle correction of basketball shooting based on the fusion of time series features and dual CNN by Meicai Xiao

“…However, the current method is limited by the variability of the shape base, ignoring dynamic features and visual information, and there are some problems in the process of feature extraction and correction of related actions. …”
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Identifying Bias in Deep Neural Networks Using Image Transforms by Sai Teja Erukude, Akhil Joshi, Lior Shamir

“…To overcome this, we propose a method to identify dataset bias without the need to crop background information from the images. …”
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Study on Predicting Blueberry Hardness from Images for Adjusting Mechanical Gripper Force by Hao Yin, Wenxin Li, Han Wang, Yuhuan Li, Jiang Liu, Baogang Li

“…Finally, further crushing experiments showed that using the two-parameter method for hardness prediction through parameter extraction via visual recognition resulted in a relative error of less than 8%, with an average relative error of 3.91%. …”
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