Results 171 to 180 of about 6,305,527 (245)

Evaluating machine learning performance using python for neural network models in urban transportation in New York city case study

Mohsen Mohammadagha, Saeed Asadi, Hajar Kazemi Naeini   +2 more
openalex   +1 more source

HazChemNet: A Deep Learning Model for Hazardous Chemical Prediction. [PDF]

Int J Mol Sci
Zhang N, Qiu H, Cai H, Li Z, Li Y, Li Z, Qi L, Du H, Pan Y, Jing H, Ning J, Xian B, Gao S.   +12 more
europepmc   +1 more source

Evidence-theory-based Reliability Analysis Method Using Active-learning Kriging Model

WEI Xinpeng, YAO Zhongyang, BAO Wenli, ZHANG Zhe, JIANG Chao   +4 more
openalex   +1 more source

Cross-institutional evaluation of deep learning and radiomics models in predicting microvascular invasion in hepatocellular carcinoma: validity, robustness, and ultrasound modality efficacy comparison [PDF]

Weibin Zhang, Qiang Guo, Yuli Zhu, Meng Wang, Tong Zhang, Guangwen Cheng, Qi Zhang, Hong Ding   +7 more
openalex   +1 more source

RP3Net: a deep learning model for predicting recombinant protein production in Escherichia coli. [PDF]

Bioinformatics
Tankhilevich E, Martinez Cuesta S, Barrett I, Berg C, Holmberg Schiavone L, Leach AR.   +5 more
europepmc   +1 more source

DEEP LEARNING MODELS FOR EARLY DETECTION OF LUNG ADENOCARCINOMA

Bushra Amber,Nadia shareef,Fatima Abbas,Iqra Munir,Fawad Nasim
openalex   +1 more source

Predicting myopia risk using a machine learning model based on fundus imageomics. [PDF]

Sci Rep
Zhang X, Wang Z, Yu J, Wang J, Song D, Zhang B, Li X, Du B, Wei R.   +8 more
europepmc   +1 more source

Models & Dataset of Machine-Learning-Accelerated Rational Design of Aggregation-Induced Emission Luminogens

Wenjie, Zhang
openalex   +1 more source

Comment to the article: Machine-learning model for postoperative atrial fibrillation. [PDF]

Turk Gogus Kalp Damar Cerrahisi Derg
Yiğit F, Adademir T, Kırali K.
europepmc   +1 more source

AllergenAI: a deep learning model predicting allergenicity based on protein sequence. [PDF]

BMC Bioinformatics
Liu J, Negi SS, Yang C, Zhou X, Schein CH, Braun W, Kim P.   +6 more
europepmc   +1 more source