Design and evaluation of clock-gating-based approximate multiplier for error-tolerant applications by Venkata Sudhakar Chowdam, Suresh Babu Potladurty, Prasad Reddy karipireddy

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Study on Damage of the OGFC Mixture Based on Characteristics of Void Distribution by Teng Xu-qiu, Zhao Dongdong, Zhang Fuqiang

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Hybrid deep learning enables multi-institutional delineation of active bone marrow for gynecologic radiotherapy by Zhe Zhang, Xiao Lu, Sicheng He, Tao Huang, Shaobin Wang, Mingjun Lu, Xiaomin Zhang, Zhibo Tan, John Moraros, Lei Zhang, Xin Li, Zhan Li, Zihao Deng, Yimeng Zhang, Mengjie Dong, Shuihua Wang, Yajie Liu

“…Conclusion: This multi-institutional study confirms that the hybrid nnU-Net accurately segments ABM from CT images, showing potential for ABM-sparing radiotherapy.…”
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Deep Learning Technology for Weld Defects Classification Based on Transfer Learning and Activation Features by Chiraz Ajmi, Juan Zapata, Sabra Elferchichi, Abderrahmen Zaafouri, Kaouther Laabidi

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Concrete Pavement Service Condition Assessment Using Infrared Thermography by Yang Lu, Aidin J. Golrokh, MD Aminul Islam

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Viscoelastic Equivalent Creep Behavior and Its Influencing Factors of Basalt Fiber-Reinforced Asphalt Mixture under Indirect Tensile Condition by Xiaoyuan Zhang, Yu Zhang, Yichun Wu, Peng Xia

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Effect of Tea Waste on Cracking of Foundation Soil by Binbin Yang, Zepeng Zhang, Wenlong Ma, Mingming Hu, Yaning Zhang

“…This paper investigates the effect of tea waste on the change of water content and cracking characteristics of foundation soil during drying. Digital image processing was carried out based on laboratory experiments. …”
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In-situ grown carbon nanotubes on waste glass powder: Resource-efficient preparation and machine-learning based dispersion evaluation by Tingquan Shao, Hongrui Zhang, Zhenjun Wang, Tonghuan Zhang, Xu Xu, Haibao Zhang, Xiaofeng Wang, Haoyan Guo

“…The dispersibility of in-situ grown CNTs and MWCNT in aqueous and cement pore solutions is evaluated based on DLS and improved machine learning and image processing methods. The conductivity as well as the compressive strength of the electrically conductive cementitious materials increases linearly with increasing dispersion. …”
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Demonstration of therapeutic effect of plasma-synthesized polypyrrole/iodine biopolymer in rhesus monkey with complete spinal cord section by Camilo Ríos, Hermelinda Salgado-Ceballos, Israel Grijalva, Axayacatl Morales-Guadarrama, Araceli Diaz-Ruiz, Roberto Olayo, Juan Morales-Corona, María G. Olayo, Guillermo J. Cruz, Rodrigo Mondragón-Lozano, Laura Alvarez-Mejia, Carlos Orozco-Barrios, Stephanie Sánchez-Torres, Omar Fabela-Sánchez, Angélica Coyoy-Salgado, Braulio Hernández-Godínez, Alejandra Ibáñez-Contreras, Marisela Mendez-Armenta

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BEACON—automated aberration correction for scanning transmission electron microscopy using Bayesian optimization by Alexander J. Pattison, Stephanie M. Ribet, Marcus M. Noack, Georgios Varnavides, Kunwoo Park, Earl J. Kirkland, Jungwon Park, Colin Ophus, Peter Ercius

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Biotechnological Potential of Isolated Bacteria from Post-Consumer LED Lamps for Solubilization of Critical Metals by Isabela Natália da Silva Ferreira, Emanuele Caroline Araujo Eschtiler, Adriana Ferreira Souza, Débora Machado de Souza, Rosileide Fontenele da Silva Andrade, Galba Campos-Takaki, Victor Hugo Valiati, Carlos Alberto Mendes Moraes, Feliciane Andrade Brehm

“…The Scanning Electron Microscopy images showed changes in the LED particles size after the bioleaching process, confirming the degradation of the material from the metabolites produced by the microorganism during the process.…”
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Resolution enhancement of scanning electron micrographs using artificial intelligence by T. Reclik, S. Medghalchi, P. Schumacher, M.A. Wollenweber, T. Al-Samman, S. Korte-Kerzel, U. Kerzel

“…Microscopic imaging of materials often requires the examination of large sample areas at high magnification to identify and analyse rare structural features. …”
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Advancements in operando X-ray techniques for metal additive manufacturing by Kaushalendra K. Singh, Akane Wakai, Atieh Moridi

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An automated Machine Learning based approach for a reproducible and efficient evaluation of industrial Charpy V-notch specimens by Adrian Herges, Björn-Ivo Bachmann, Sebastian Scholl, Frank Mücklich

“…The findings presented in this study highlight the significant potential of machine learning and computer vision in the realm of a reproducible and objective, automated macroscopic fracture analysis on an industrial scale, providing valuable benefits for materials engineering and quality control in manufacturing processes.…”
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Evaluation method of spatial distribution characteristics for asphalt mixture structure based on Sholl analysis by Tengjiang Yu, Ziqi Chen, Fushou Zhao, Xiangrui Ji, Haitao Zhang, Shengsheng Ma

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Evaluation of electron/ion sources effect and number of shots on Fe-Ta thin films using plasma focus device by ArezooSadat EbneRasool, Shaghayegh AdibAmini, Amir Hossein Sari

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Metabolic modulation-driven self-reinforcing pyroptosis-STING nanoadjuvant for potentiated metalloimmunotherapy by Linzhu Zhang, Di Wang, Yiming Liu, Nailin Yang, Shumin Sun, Chunjie Wang, Duo Wang, Jihu Nie, Juan Qin, Lei Zhang, Liang Cheng, Haidong Zhu

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Novel ultrathin ferrous sulfide nanosheets: Towards replacing black phosphorus in anticancer nanotheranostics by Yuan Gao, Mengyao Mu, Yiju Wei, Bowen Yan, Hui Liu, Kai Guo, Mengmeng Zhang, Xiaohui Dai, Xiao Sun, David Tai Leong

“…Furthermore, due to its superparamagnetic nature, FeS NSs could accumulate at the tumor site and provide a strong magnetic resonance imaging (MRI) signal for imaging-guided tumor therapy. …”
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Metal flow mechanisms during alternating current arc welding and additive manufacturing of aluminium alloy by Bin Xu, Chengyu Zhang, Guokai Zhang, Fan Jiang, Shinichi Tashiro, Manabu Tanaka, Shujun Chen

“…Abstract Alternating current (AC) arc melting technology has been developed for the manufacturing of lightweight materials and provides a potential heat source in welding and additive manufacturing. …”
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Characterization of the mechanical properties for mild steel alloyed reinforcement with nanomaterials using powder technology by Abbas Ali Diwan, Mohammed Ali Diwan, Saddam K. Al-Raheem, Ammar Muslim Hadi, Mohammed J. Alshukri

“…Abstract Powder technology is considered one of the promising technologies that industrial companies have resorted to in the manufacture of mechanical parts in recent years instead of casting processes and traditional manufacturing methods that lead to a large loss of materials and high energy consumption. …”
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