An efficient method for identifying surface damage in hydraulic concrete buildings by Libo Yang, Dawei Zhu, Xuemei Liu

“…The efficacy of deep learning models is frequently constrained by the size of available data, resulting in limited scalability and flexibility. …”
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A DNA-Level Convolutional Neural Network Based on Strand Displacement Reaction for Image Recognition by Shiyin Li, Zhixiang Yin, Chunlin Chen, Jing Yang, Zhen Tang

“…Nevertheless, the operational environment of CNN is facing significant challenges, including poor parallelism and high energy consumption due to the explosive growth in data scale and the rise of multi-modal data. DNA-based molecular computing systems, which are known for their high parallelism and low energy consumption, have the potential to provide an ideal operating platform for CNN. …”
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Assessment of five global gridded precipitation estimates over a southern Mediterranean basin (Tensift, Morocco) by Kaoutar Oukaddour, Younes Fakir, Michel Le Page

“…ERA5 and TerraClimate, the longest data series, were used to visualize the precipitation trends in the basin.…”
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ROBOT NAVIGATION IN INDOOR ENVIRONMENT THROUGH SELF LEARNING by Chandan Kalita, Kishore Kashyap, Mirzanur Rahman, Satyajit Sarma, Parvez Aziz Boruah

“…The simulation is conducted using Gazebo, a tool for creating virtual environments and visualizing data. The process involves collecting environmental data using a LiDAR sensor camera, which captures information about the surroundings. …”
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Quantifying task-locked information transmission between cortical areas with TMS-EEG by Zhaohuan Ding, Wenbo Ma, Leixiao Feng, Mingsha Zhang, Xiaoli Li

“…Approach: 30 participants performed visually guided gap saccade tasks while TMS-EEG data were recorded, with the TMS pulses delivered to prefrontal cortex (PFC) and posterior parietal cortex (PPC) at different task stages. …”
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The GWAS-MAP platform for aggregation of results of genome-wide association studies and the GWAS-MAP|homo database of 70 billion genetic associations of human traits by T. I. Shashkova, D. D. Gorev, E. D. Pakhomov, A. S. Shadrina, S. Zh. Sharapov, Y. A. Tsepilov, L. C. Karssen, Y. S. Aulchenko

“…To address these issues, we developed GWAS-MAP, a high-throughput platform for aggregating, storing, analyzing, visualizing and providing access to a database of big data that result from region- and genome-wide association studies. …”
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Building Type Classification Using CNN-Transformer Cross-Encoder Adaptive Learning From Very High Resolution Satellite Images by Shaofeng Zhang, Mengmeng Li, Wufan Zhao, Xiaoqin Wang, Qunyong Wu

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Wavelet-Based Analysis of Subsidence Patterns and High-Risk Zone Delineation in Underground Metal Mining Areas Using SBAS-InSAR by Jiang Li, Zhuoying Tan, Nuobei Zeng, Linsen Xu, Yinglin Yang, Aboubakar Siddique, Junfeng Dang, Jianbing Zhang, Xin Wang

“…However, due to the long operational timespan of mines and incomplete data from early collapse events, coupled with the inaccessibility of collapse zones for field measurements, it is challenging to obtain accurate displacement data, thereby posing significant difficulties for follow-up research. …”
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Building renovation Roadmapping: an automated methodology framework for energy efficiency improvement and sustainable renovation planning by Nikolaos Mpouzianas, Stavros Koltsios, Ioannis Pastaltzidis, Nikolaos Katsaros, Georgios Giannopoulos, Panagiotis Klonis, Panagiota Chatzipanagiotidou, Dimosthenis Ioannidis, Dimitrios Tzovaras

“…IFCs are processed by a parsing tool, which translates IFC files into a comprehensible data model. The proposed framework initially examines the asset-based elements and calculates as-designed energy consumption by extracting information from the produced data model. …”
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Distributed Strapdown Inertial Navigation System Error and Inertial Sensory Bias Compensation by Nargess Sadeghzadeh Nokhodberiz, Javad Poshatn

“…In this paper, error dynamic model of Strapdown inertial navigation system (SINS) is employed for error compensation of Strapdown algorithm. Perfect visual sensor data is fused with inertial sensors to produce deviation vectors as noisy measurement models. …”
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THE IMPORTANCE OF USING GIS IN INCREASING THE EFFICIENCY OF AGRICULTURAL FARMS - A BIBLIOMETRIC APPROACH by Mirela PLESA, Liviu MARCUTA, Alina MARCUTA, Alexandru FINTINERU, Andreea Roxana FIRĂŢOIU, Ovidiu GUSAN

“…GIS technology provides solutions to these problems through its ability to collect, analyze and visualize complex geospatial data. This technology allows farmers and researchers to make informed decisions based on accurate and up-to-date data, which is why they play an essential role in modern agriculture, enabling the development of innovative solutions to global challenges, contributing to more efficient, sustainable and productive agriculture higher. …”
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Epidemiology of venous thromboembolism in people with active tuberculosis: a systematic review and meta-analysis protocol by Celestin Danwang, Joel Noutakdie Tochie, Jean Joel Bigna, Philippe Armel Awana

“…This review is expected to provide relevant data on the epidemiology of VTE in people with tuberculosis. …”
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Identifikasi Varietas Kayu Menggunakan Radially Average Power Spectrum Value Dan Orde Satu by Arya Mandiri, Soffiana Agustin

“…Penelitian ini menggunakan 4.200 citra dengan resolusi 1000x1000 piksel. Citra dibagi dalam data latih dan data uji menggunakan 10-fold validation. …”
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Digital imaging and vision analysis in science project improves the self-efficacy and skill of undergraduate students in computational work. by Tessa Durham Brooks, Raychelle Burks, Erin Doyle, Mark Meysenburg, Tim Frey

“…In many areas of science, the ability to use computers to process, analyze, and visualize large data sets has become essential. The mismatch between the ability to generate large data sets and the computing skill to analyze them is arguably the most striking within the life sciences. …”
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Identification of unmet palliative care needs of nursing home residents: A scoping review protocol. by Patrice Crowley, Mohamad M Saab, Nicola Cornally, Isabel Ronan, Sabin Tabirca, David Murphy

“…Results will be synthesised, and a narrative synthesis will be used to illustrate the findings of this review. Data will be presented visually using tables, figures, and word clouds, as appropriate.…”
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Experimental Study of a Deep-Learning RGB-D Tracker for Virtual Remote Human Model Reconstruction by Shahram Payandeh, Jeffrey Wael

“…The tracking information can be mapped and visualized using a virtual avatar model of the tracked person. …”
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On The Pros and Cons of Using Excel for Regression Analysis by Sencer Buzrul

“…It is also possible to visually examine the model fit and experimental data together on the same graph. …”
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Automatic detection of pupil reactions in cataract surgery videos. by Natalia Sokolova, Klaus Schoeffmann, Mario Taschwer, Stephanie Sarny, Doris Putzgruber-Adamitsch, Yosuf El-Shabrawi

“…This would be especially true if large data files could be evaluated automatically. In this work, we automatically detect pupil reactions in cataract surgery videos. …”
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Digital Twin-Based and Knowledge Graph-Enhanced Emergency Response in Urban Infrastructure Construction by Chao Chen, Yanyun Lu, Bo Wu, Linhai Lu

“…This bidirectional interaction between the digital twin and the knowledge graph ensured that the real-world data informed the automated reasoning, while the inference results were visualized within the digital twin for intuitive decision support. …”
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Using infographics to empower nursing students on integrating Ubuntu, HIV/AIDS and TB at a selected University, South Africa by M. N. Kgatla, T. I. Ramavhoya, M. M. Rasweswe, F. M. Mulaudzi

“…The participants were purposively sampled based on their creative skills and understanding of the use of infographics. Textual data from discussions, visual data from infographics, and field notes were triangulated and subjected to thematic analysis. …”
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