Optimization of Three-Dimensional Model of Landscape Space Based on Big Data Analysis by Cuixia Wang

“…The results show that the improved edge folding region algorithm can reduce errors on the basis of ensuring image quality, and the adaptive search algorithm can shorten the search time and improve the compression rate. This method provides a technical reference for the visualization experience and simulation system of garden landscape design and improves the presentation quality of virtual garden landscape design scenes.…”
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Mapping the learning curves of deep learning networks. by Yanru Jiang, Rick Dale

“…We reflect on the theoretical implications of this method for cognitive processing, language models and representations from multiple modalities.…”
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Spatial Ability and Digital Literacy Profiles: Preceding Survey on the Need of Augmented Reality Media in Chemistry Instruction by Yuyun Yulianti, Indarini Dwi Pursitasari, Irvan Permana

“…This research is aimed to analyze both spatial ability and digital literacy skills along with the media that could help develop the two skills. The research method used is descriptive qualitative method uses a survey to collect the data. …”
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Design and Application of Risk Early Warning System for Subway Station Construction Based on Building Information Modeling Real-Time Model by Qianlong Tang, Mingfeng Lei, Binbin Zhu, Limin Peng, Weimin Wu, Chenghua Shi

“…The operation process of the risk early warning system is established through the grey prediction method to propose the operation method of the early warning system. …”
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DFT-analysis of protolytic equivalents of 5-(aryl)-4-(methyl,amino)-1,2,4-triazole-3(2H)-thione by O. A. Bihdan, N. A. Alk Khalaf

“…The use of modern computer methods in aspects of quantum chemistry and systematic analysis of their results give an idea of the reactivity of organic compounds, as well as to understand the essence of known experimental data, correct predictions, and quantitative estimates. …”
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THE AGE-RELATED FEATURES OF ALVEOLAR JAWS BONE MINERAL DENSITY IN GROWING CHILDREN by V.F. Makeev, A-S.A. Krupnyk

“…Computer tomography technology (3D) uses for maxillofacial area bone structures visualization in modern dentistry. The advantages of this method are the high accuracy, low cost, short time survey. …”
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Clinical evaluation of semi-automatic open-source algorithmic software segmentation of the mandibular bone: Practical feasibility and assessment of a new course of action. by Jürgen Wallner, Kerstin Hochegger, Xiaojun Chen, Irene Mischak, Knut Reinbacher, Mauro Pau, Tomislav Zrnc, Katja Schwenzer-Zimmerer, Wolfgang Zemann, Dieter Schmalstieg, Jan Egger

“…In the cranio-maxillofacial complex the used method could represent an algorithmic alternative for image-based segmentation in the clinical practice for e.g. surgical treatment planning or visualization of postoperative results and offers several advantages. …”
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An online clustering algorithm predicting model for prostate cancer based on PHI-related variables and PI-RADS in different PSA populations by Jiyuan Hu, Qi Miao, Jiayi Ren, Hongbo Su, Xianlu Zhang, Jianbin Bi, Gejun Zhang

“…Abstract Background and aim Prostate cancer is the most common male malignancy. Current diagnostic methods using single TPSA and PHI lack specificity. …”
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Electronic control of directional properties of reconfigurable plasmonic graphene-based antenna arrays with frequency scanning in the mid-IR range by G.S. Makeeva

“…To solve the electrodynamic problem using the CST MWS 2023 program, designed for numerical modeling of high-frequency antennas and devices, the Perfect Boundary Approximation (PBA) method is used, complementing the Finite Integration Technique (FIT) method, which works in the time domain. …”

Optimization of dual-layer flow field in a water electrolyzer using a data-driven surrogate model by Lizhen Wu, Zhefei Pan, Shu Yuan, Xiaoyu Huo, Qiang Zheng, Xiaohui Yan, Liang An

“…Therefore, machine learning methods are adopted to accelerate the optimization. …”
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Generative Artificial Intelligence-Enabled Facility Layout Design Paradigm by Fuwen Hu, Chun Wang, Xuefei Wu

“…This study proposes a generative-AI-enabled facility layout design, a novel paradigm aligning with Industry 4.0, to address these challenges by integrating generative artificial intelligence (AI), semantic models, and data-driven optimization. The proposed method evolves from three historical paradigms: experience-based methods, operations research, and simulation-based engineering. …”
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Weakly Supervised Semantic Segmentation of Remote Sensing Images Using Siamese Affinity Network by Zheng Chen, Yuheng Lian, Jing Bai, Jingsen Zhang, Zhu Xiao, Biao Hou

“…Experimental results on the large-scale remote sensing datasets DRLSD and ISPRS Vaihingen demonstrate that our method achieves segmentation performance close to that of fully supervised semantic segmentation (FSSS) methods on both datasets. …”
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Automated Identification and Representation of System Requirements Based on Large Language Models and Knowledge Graphs by Lei Wang, Ming-Chao Wang, Yuan-Rong Zhang, Jian Ma, Hong-Yu Shao, Zhi-Xing Chang

“…In the product design and manufacturing process, the effective management and representation of system requirements (SRs) are crucial for ensuring product quality and consistency. However, current methods are hindered by document ambiguity, weak requirement interdependencies, and limited semantic expressiveness in model-based systems engineering. …”
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SingleRecon: Reconstructing Building 3-D Models of LoD1 From a Single Off-Nadir Remote Sensing Image by Ruizhe Shao, JiangJiang Wu, Jun Li, Shuang Peng, Hao Chen, Chun Du

“…Experimental results demonstrate that our method for reconstructing 3-D models of urban building scenes has strong visualization effects, with an average height error of 3.3 m.…”
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Simultaneous Remote Non-Invasive Blood Glucose and Lactate Measurements by Mid-Infrared Passive Spectroscopic Imaging by Ruka Kobashi, Daichi Anabuki, Hibiki Yano, Yuto Mukaihara, Akira Nishiyama, Kenji Wada, Akiko Nishimura, Ichiro Ishimaru

“…Mid-infrared passive spectroscopic imaging is a novel non-invasive and remote sensing method based on Planck’s law. It enables the acquisition of component-specific information from the human body by measuring naturally emitted thermal radiation in the mid-infrared region. …”
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Imaging and evaluation of cervicothoracic lymphatic drainage pathways in single ventricle patients with Fontan circulation using the mDixon steady state MR angiography by Monika Huhndorf, Patrick Langguth, Hatim Seoudy, Olav Jansen, Anselm Uebing, Jan Hinnerk Hansen, Inga Voges

“…The method also allows to visualize and evaluate the cervicothoracic lymphatic anatomy with high image quality. 3D mDixon steady state MR angiography is therefore particularly useful to comprehensively assess Fontan patients, a patient group prone not only to cardiac but also lymphatic failure.…”
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3D Reconstruction of the Human Colon From Capsule Endoscope Video by Pal Anders Floor, Ivar Farup, Marius Pedersen

“…The graphical model also provides a ground truth, enabling computation of geometric distortion introduced by the 3D reconstruction method. In this paper, most distortions and artifacts are first left out to determine if it is feasible to reconstruct whole sections of the human gastrointestinal system by existing methods. …”
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Efficient Fault Localization in Smart Grid Through Analysis of the Wave Matrix Image Using Convolutional Neural Networks by Jose Carlos Filho, Francisco C. M. Abreu, Mauricio Silva, Fabbio Borges, Ricardo A. L. Rabelo

“…With approximately 80% of power supply interruptions attributed to Distribution System faults, the need for effective fault localization methods is evident. By extracting voltage signal characteristics at measurement points during disturbances and transforming them into a panoramic representation of the system in the form of an image, the panoramic image generation, derived from simulated short-circuit values at each system bus, provides a comprehensive visualization of the network, enabling precise fault localization. …”
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A Deep Neural Network Framework for Dynamic Two-Handed Indian Sign Language Recognition in Hearing and Speech-Impaired Communities by Vaidhya Govindharajalu Kaliyaperumal, Paavai Anand Gopalan

“…In order to solve local optimization constraints when adjusting the position for the tuna update process, a mutation operator was introduced. The dataset visualization that demonstrates the best effectiveness compared to alternative cutting-edge methods, recognition accuracy, and convergences serves as a means to measure performance of this suggested framework.…”
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Abstract 148: Balloon‐assisted retrograde Cerebral Venography in Cerebral Venous Interventions: A novel avenue for diagnostic venous imaging by Omar Choudhri

“…We identified a method of cerebral phlebography under temporary venous balloon occlusion of jugular vein or venous sinus to obtain high resolution 2D and 3D images for diagnosis and treatment of cerebral venous pathology. …”
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