Results 131 to 140 of about 1,347,746 (312)

F1-Scores of all trained models on the test set.

The development of urbanization has brought convenience to people, but it has also brought a lot of harmful construction solid waste. The machine vision detection algorithm is the crucial technology for finely sorting solid waste, which is faster and ...
Jianhong Yang (3007035), Lulu Fan (155369), RenCheng Zhang (17797644), Jiantao Li (821445), Tianchen Ji (17797641), Huaiying Fang (6236825)   +5 more
core   +1 more source

Effect of feature vector length on F1 Score of LRM.

, 2019
Effect of feature vector length on F1 Score of LRM.
Renard Xaviero Adhi Pramono (3095163), Syed Anas Imtiaz (3095160), Esther Rodriguez-Villegas (3095166)   +2 more
core   +1 more source

Targeting Supramolecular Active Complexes of Nav1.7/Nav1.8 to Relieve Chronic Neuropathic Pain

Advanced Science, EarlyView.
In mice and patients with severe chronic neuropathic pain (NP), Nav1.7, Nav1.8, TrkB, and five cytoskeletal proteins form supramolecular active complexes (SMACs) with polygonal lattice structures as noxious signal amplifiers in dorsal root ganglion (DRG) neurons.
Liting Sun, Hang Xian, Yunxin Shi, Taotan Yang, Hongyan Shuai, Wenchao Hu, Siying Fei, Miao Xu, Taoyuan Yang, Ruilong Xia, Ting Wen, Fengting Zhu, Yan Fu, Yang Li, Wei Xia, Ran Qian, Yuanying Liu, Zhicheng Tian, Lamei Li, Qian Zhou, Lize Xiong, Rui Cong, Ceng Luo, Shengxi Wu, Xiafeng Shen, Xin Yu, Rou‐Gang Xie, Changgeng Peng   +27 more
wiley   +1 more source

Sensitivity, specificity and F1 score values obtained from Model A.

, 2018
Sensitivity, specificity and F1 score values obtained from Model A.
Jian Zhang (1682)
core   +1 more source

MFPD: A Multiple Fungal Pathogen Detection Pipeline Across Diverse Habitats

Advanced Science, EarlyView.
The MFPD pipeline integrates a comprehensive ITS reference database of fungal pathogens, optimized parameters, and algorithms tailored for both full‐length and subregion sequences that balance accuracy and computational efficiency; it enables high‐throughput, species‐level identification from amplicon sequencing data, supporting large‐scale ...
Yi Shen, Xinrun Yang, Jiabao Yu, Yaozhong Zhang, Tianjie Yang, Yang Gao, Xiaofang Wang, Alexandre Jousset, Waseem Raza, Fang‐Jie Zhao, Qirong Shen, Gaofei Jiang, Zhong Wei, Yangchun Xu   +13 more
wiley   +1 more source

Benchmarking quantum versions of the kNN algorithm with a metric based on amplitude-encoded features

Scientific Reports
This work introduces a quantum subroutine for computing the distance between two patterns and integrates it into two quantum versions of the kNN classifier algorithm: one proposed by Schuld et al. and the other proposed by Quezada et al.
Areli-Yesareth Guerrero-Estrada, L. F. Quezada, Guo-Hua Sun   +2 more
doaj   +1 more source

Sensitivity, specificity and F1 score values obtained from Model B.

, 2018
Sensitivity, specificity and F1 score values obtained from Model B.
Jian Zhang (1682)
core   +1 more source

ANKS1B in the Nucleus Accumbens Controls Escalated Cocaine Self‐Administration via Regulating CBP‐FoxO3 Complex

Advanced Science, EarlyView.
ANKS1B in the nucleus accumbens plays a critical role in the transition from controlled to escalated cocaine intake. Mechanistically, ANKS1B interacts with CBP to epigenetically suppress FoxO3 through H3K27 acetylation. The ANKS1B‐CBP‐FoxO3 signaling cascade presents a novel theraputic target for the treatment of cocaine addiction.
Liping Yang, Xiaoxuan Wu, Xuan Chen, Chao Peng, Zihang Li, Shumin Gao, Shiqiu Meng, Jing Dong, Dong Wu, Liying Lv, Ying Han, Yanxue Xue, Lin Lu, Jie Shi, Jianfeng Liu, Yan Sun   +15 more
wiley   +1 more source

Generative AI‐Driven Accelerated Discovery of Passivation Molecules for Perovskite Solar Cells

Advanced Science, EarlyView.
A generative artificial intelligence (AI) framework combining a discriminative machine learning model (SMILES‐X) and a generative language model (GPT‐2) autonomously discovers new molecular passivators for perovskite solar cells (PSCs). Through an iterative design loop, over 100 000 candidates are generated and screened, and randomly selected molecules
Adroit T. N. Fajar, Guillaume Lambard, Jessie Manopo, Ruili Guo, Kevin Septioga, Rizfi F. Pari, Toshinori Matsushima, Zhanglin Guo   +7 more
wiley   +1 more source

Deep Learning for Detecting and Subtyping Renal Cell Carcinoma on Contrast-Enhanced CT Scans Using 2D Neural Network with Feature Consistency Techniques

Indian Journal of Radiology and Imaging
Objective The aim of this study was to explore an innovative approach for developing deep learning (DL) algorithm for renal cell carcinoma (RCC) detection and subtyping on computed tomography (CT): clear cell RCC (ccRCC) versus non-ccRCC ...
Amit Gupta, Rohan Raju Dhanakshirur, Kshitiz Jain, Sanil Garg, Neel Yadav, Amlesh Seth, Chandan J. Das   +6 more
doaj   +1 more source