Lenke Classification Report Generation Method for Scoliosis Based on Spatial and Context Dual Attention by Yu Tang, Zhiqin He, Qinmu Wu, Xiao Wang, Yuhang Wang

“…Therefore, this paper proposes an automatic generation model of the end-to-end scoliosis Lenke classification report. …”
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A Hybrid Deep Learning Framework Based on Diffusion Model and Deep Residual Neural Network for Defect Detection in Composite Plates by Tianrui Huang, Yang Gao, Zhenglin Li, Yue Hu, Fuzhen Xuan

“…In this study, DM is used as the generation model of data enhancement, and the optimized and improved DDPM model is constructed in this experiment. …”
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GEOAI FOR MARINE ECOSYSTEM MONITORING: A COMPLETE WORKFLOW TO GENERATE MAPS FROM AI MODEL PREDICTIONS by J. Talpaert Daudon, M. Contini, I. Urbina-Barreto, B. Elliott, F. Guilhaumon, A. Joly, S. Bonhommeau, J. Barde

“…Here, we describe and share the code of a generic method to train a deep learning model with spatial annotations and use it to directly generate model predictions as spatial features. This workflow has been tested and validated in three use cases related to marine ecosystem monitoring at different geographic scales: (i) segmentation of corals on orthomosaics made of underwater images to automate coral reef habitats mapping, (ii) detection and classification of fishing vessels on remote sensing satellite imagery to estimate a proxy of fishing effort (iii) segmentation of marine species and habitats on underwater images with a simple geolocation. …”
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Graph Transformer Collaborative Filtering Method for Multi-Behavior Recommendations by Wenhao Zhu, Yujun Xie, Qun Huang, Zehua Zheng, Xiaozhao Fang, Yonghui Huang, Weijun Sun

“…This method utilizes an unsupervised subgraph generation model that divides users with similar preferences and their interaction items into subgraphs. …”
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Environmental Life Cycle Assessment of Refrigerator Modelled with Application of Various Electricity Mixes and Technologies by Anna Lewandowska, Przemysław Kurczewski, Katarzyna Joachimiak-Lechman, Marek Zabłocki

“…, and “what differences are there in the environmental impact of electricity generation modelled as residual and supplier mixes?”. From the life cycle perspective, not only may differences in national electricity systems between countries turn out to be important, but equally significant may be the choice between different types of mixes for a certain country.…”
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Intent-Controllable Citation Text Generation by Shing-Yun Jung, Ting-Han Lin, Chia-Hung Liao, Shyan-Ming Yuan, Chuen-Tsai Sun

“…We propose a controllable citation text generation model that extends a pre-trained sequence to sequence models, namely, BART and T5, by using the citation intent as the control code to generate the citation text, meeting the paper authors’ citation intent. …”
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Low Voltage Ride-through in DFIG Wind Generators by Controlling the Rotor Current without Crowbars by Jaime Rodríguez Arribas, Adrián Fernández Rodríguez, Ángel Hermoso Muñoz, Carlos Veganzones Nicolás

“…The strategy described here uses an electric generator model based on space-phasor theory that provides a direct control over the position of the rotor magnetic flux. …”
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Optimization of Calcination Conditions for Cu/ZnO/Al₂O₃-ZrO₂ Catalyst by Nur Insyirah Zulkifli, Nor Hafizah Berahim, Noor Asmawati Mohd Zabidi, Sara Faiz Hanna Tasfy

“…The calcination variables studied include temperature, A (181–518 °C), ramping rate, B (1–30 °C/min), and duration, C (1–7 h). From the RSM-generated model, the optimum calcination condition for this catalyst was 350 °C with 17.5 °C/min ramping rate for a 4 h duration. …”
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Examining the impact of Ground Control point quantity on the geometric accuracy of UAV photogrammetric products formed using Structure-from-Motion approach by Nikolić Ratko R., Brodić Nenad D., Božić Branko S.

“…The influence of the quantity of Ground Control Points (GCPs) on the geometric quality of generated models and the stability of camera calibration parameters assessed through self-calibration in the block-aerotriangulation process was investigated in this study. …”
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Research on the Intelligent Modeling Design of a Truck Front Face Driven by User Imagery by Zhixian Li, Feng Zheng, Shihao Wang, Zitong Zhao

“…Finally, the physiological data of the Electroencephalogram (EEG) experiment are used to evaluate the degree of objective matching between the generated modeling design scheme and the expected image. …”
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Using Effective Generator Impedance for Forced Oscillation Source Location by Chevalier, Samuel C., Vorobev, Petr, Turitsyn, Konstantin

“…It is shown that a generator can be represented as an effective admittance matrix with respect to low-frequency oscillations, and an explicit form for this matrix, for various generator models, is derived. Furthermore, it is shown that a source generator, in addition to its effective admittance, is characterized by the presence of an effective current source, thus giving a natural qualitative distinction between source and nonsource generators. …”
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Measuring Growth and Gene Expression Dynamics of Tumor-Targeted S. Typhimurium Bacteria by Danino, Tal, Prindle, Arthur, Hasty, Jeff, Bhatia, Sangeeta N., Bhatia, Sangeeta N

“…The goal of these experiments is to generate quantitative time-course data on the growth and gene expression dynamics of attenuated S. typhimurium bacterial colonies growing inside tumors. We generated model xenograft tumors in mice by subcutaneous injection of a human ovarian cancer cell line, OVCAR-8 (NCI DCTD Tumor Repository, Frederick, MD). …”
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Identification of factors affecting the travel time reliability of public bus transportation - a case study along federal road F0050-route Kluang-A/Hitam-B/Pahat by Hareth A. Al-barakani, Nasradeen A. Khalifa, M. A. Alkubati, Ahmed N. Al-Olof

“…SPSS is also used to examine the data and generate models.…”
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Optimization of batch conditions for COD and ammonia nitrogen removal using cockle shells through response surface methodology by Daud, Zawawi, Abubakar, Mahmoud Hijab, Awang, Halizah, Ahmed, Zainab Belel, Rosli, Mohd Arif, Ridzuan, Mohd Baharudin, Aliyu, Ruwaida, Tajarudin, Husnul Azan

“…The predicted response versus the experimental response depicted that the experimental data were relatively close to the predicted data. Thus, the generated models significantly enclosed the correlation between the process variables and the response.…”
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Challenges and barriers of building information modelling (BIM) implementation in construction industry by Nur Farhana, Hamzah

“…It also represents the process of development and use of a computer generated model to simulate the planning, design, construction and operation of a facility. …”
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A THz Passive Image Generation Method Based on Generative Adversarial Networks by Guan Yang, Chao Li, Xiaojun Liu, Guangyou Fang

“…In this paper, a GAN-based generation model is proposed to generate terahertz passive images. …”
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Combustion Modeling and Simulation of Recycled Anode-off-Gas from Solid Oxide Fuel Cell by Sataish Asghar Kashmiri, Muhammad Wasim Tahir, Umer Afzal

“…For effective integration of a combustor, reformer, and power generator, modeling and simulation is of great utility. …”
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Methodology for Carbon Emissions Neutrality in Industrial Manufacturing by Suzanne O'Keeffe, Dominic O'Sullivan, Ken Bruton

“…The Analyse step involves an energy audit, and heat and renewable energy studies to generate modelling tool input. The Improve step models the potential emissions abatement measures in priority order of efficiency, new technology, heat recovery, and renewables, with the budget or timeline as the dominant parameter. …”
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Speech quality assessment with WARP‐Q: From similarity to subsequence dynamic time warp cost by Wissam A. Jassim, Jan Skoglund, Michael Chinen, Andrew Hines

“…Existing objective speech quality models (e.g., ViSQOL and POLQA) cannot be used to accurately evaluate the quality of coded speech from generative models as they penalise based on signal differences not apparent in subjective listening test results. …”
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Action Generative Networks Planning for Deformable Object with Raw Observations by Ziqi Sheng, Kebing Jin, Zhihao Ma, Hankz-Hankui Zhuo

“…We first learn a <i>state-abstractor model</i> to abstract states from raw observations, a <i>state-generator model</i> to generate raw observations from states, a <i>heuristic model</i> to predict actions to be executed in current states, and a <i>transition model</i> to transform current states to next states after executing specific actions. …”
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