NTIRE 2024 Quality Assessment of AI-Generated Content Challenge

Autor: Liu, Xiaohong, Min, Xiongkuo, Zhai, Guangtao, Li, Chunyi, Kou, Tengchuan, Sun, Wei, Wu, Haoning, Gao, Yixuan, Cao, Yuqin, Zhang, Zicheng, Wu, Xiele, Timofte, Radu, Peng, Fei, Fu, Huiyuan, Ming, Anlong, Wang, Chuanming, Ma, Huadong, He, Shuai, Dou, Zifei, Chen, Shu, Zhang, Huacong, Xie, Haiyi, Wang, Chengwei, Chen, Baoying, Zeng, Jishen, Yang, Jianquan, Wang, Weigang, Fang, Xi, Lv, Xiaoxin, Yan, Jun, Zhi, Tianwu, Zhang, Yabin, Li, Yaohui, Li, Yang, Xu, Jingwen, Liu, Jianzhao, Liao, Yiting, Li, Junlin, Yu, Zihao, Lu, Yiting, Li, Xin, Motamednia, Hossein, Hosseini-Benvidi, S. Farhad, Guan, Fengbin, Mahmoudi-Aznaveh, Ahmad, Mansouri, Azadeh, Gankhuyag, Ganzorig, Yoon, Kihwan, Xu, Yifang, Fan, Haotian, Kong, Fangyuan, Zhao, Shiling, Dong, Weifeng, Yin, Haibing, Zhu, Li, Wang, Zhiling, Huang, Bingchen, Saha, Avinab, Mishra, Sandeep, Gupta, Shashank, Sureddi, Rajesh, Saha, Oindrila, Celona, Luigi, Bianco, Simone, Napoletano, Paolo, Schettini, Raimondo, Yang, Junfeng, Fu, Jing, Zhang, Wei, Cao, Wenzhi, Liu, Limei, Peng, Han, Yuan, Weijun, Li, Zhan, Cheng, Yihang, Deng, Yifan, Li, Haohui, Qu, Bowen, Li, Yao, Luo, Shuqing, Wang, Shunzhou, Gao, Wei, Lu, Zihao, Conde, Marcos V., Wang, Xinrui, Chen, Zhibo, Liao, Ruling, Ye, Yan, Wang, Qiulin, Li, Bing, Zhou, Zhaokun, Geng, Miao, Chen, Rui, Tao, Xin, Liang, Xiaoyu, Sun, Shangkun, Ma, Xingyuan, Li, Jiaze, Yang, Mengduo, Xu, Haoran, Zhou, Jie, Zhu, Shiding, Yu, Bohan, Chen, Pengfei, Xu, Xinrui, Shen, Jiabin, Duan, Zhichao, Asadi, Erfan, Liu, Jiahe, Yan, Qi, Qu, Youran, Zeng, Xiaohui, Wang, Lele, Liao, Renjie

This paper reports on the NTIRE 2024 Quality Assessment of AI-Generated Content Challenge, which will be held in conjunction with the New Trends in Image Restoration and Enhancement Workshop (NTIRE) at CVPR 2024. This challenge is to address a major

Externí odkaz: http://arxiv.org/abs/2404.16687

Multi-material topology optimization of adhesive backing layers via J-integral and strain energy minimizations

Autor: Tong, Zhiyuan, Benvidi, Farid H., Bacca, Mattia

Strong adhesives rely on reduced stress concentrations, often obtained via specific geometry or composition of materials. In many examples in nature and engineering prototypes, the adhesive performance relies on structural rigidity being placed in sp

Externí odkaz: http://arxiv.org/abs/2210.04392

Theoretical limits in detachment strength for axisymmetric bi-material adhesives

Autor: Benvidi, Farid Hoseynian, Bacca, Mattia

Dry adhesives rely on short-ranged intermolecular bonds, hence requiring a low elastic modulus to conform to the surface roughness of the adhered material. Under external loads, however, soft adhesives accumulate strain energy, which release drives t

Externí odkaz: http://arxiv.org/abs/2102.11324

Investigation of Copper/Sodium Alendronate Drug Doped TiO2 Nanoparticle Array on Ti as a Hybrid Material for Implant Application.

Autor: Aryan, Neda¹, Benvidi, Ali¹ abenvidi@yazd.ac.ir, Behpour, Mohsen², Kashi, Fereshteh Jookar³, Azimzadeh, Mostafa⁴, Zare, Hamid R.¹

Publikováno v: Journal of Nanostructures. Spring2024, Vol. 14 Issue 2, p437-451. 15p.

Sensitive nanobiosensor for miR-155 detection using a novel nanocomposite of carbon nanofiber, metal-organic framework, and two quantum dots

Autor: Amin Sadrabadi, Emadoddin, Benvidi, Ali, Shiralizadeh Dezfuli, Amin, Asgharnejad, Leila, Daneshpour, Maryam, Azimzadeh, Mostafa, Khashayar, Patricia

Publikováno v: In Microchemical Journal October 2023 193