Results 271 to 280 of about 1,080,302 (365)

Survey Paper on a Pairwise Learning to Rank Model for Answer Selection in Community Question Answer (CQA) System

, 2018
Rahul Patil, Sunny Shah, Tejas Bavaskar, Sourabh S. Ukhale, Akash S. Kalyankar   +4 more
openalex   +1 more source

Printing Nacre‐Mimetic MXene‐Based E‐Textile Devices for Sensing and Breathing‐Pattern Recognition Using Machine Learning

Advanced Functional Materials, EarlyView.
This study presents a Ti3C2Tx MXene/WPU nacre‐mimetic nanomaterial as a printable ink for direct‐write printing onto textiles‐based sensors. The resulting wearable device demonstrates high sensitivity, biocompatibility, and mechanical strength. Furthermore, NFC‐enabled humidity sensor produces time‐series data, which informs a machine learning ...
Lulu Xu, Wenqing Chen, Qian Li, Rohit Gupta, Biswajoy Bagchi, Laurence B. Lovat, Manish K. Tiwari   +6 more
wiley   +1 more source

When drug discovery meets web search: Learning to Rank for ligand-based virtual screening. [PDF]

J Cheminform, 2015
Zhang W, Ji L, Chen Y, Tang K, Wang H, Zhu R, Jia W, Cao Z, Liu Q.   +8 more
europepmc   +1 more source

Engineering Topographical Cues to Enhance Neural Regeneration in Spinal Cord Injury: Overcoming Challenges and Advancing Therapies

Advanced Functional Materials, EarlyView.
Spinal cord injury (SCI) poses significant challenges for regeneration due to a series of secondary injury mechanisms. How to use biomaterial approach to target the failed regeneration after SCI remains a critical challenge. This review systematically evaluates current strategies to optimize biomaterial topographies for neurite outgrowth, axonal ...
Wei Xu, Fenghui Wang, Joshua Stein, Siqiao Wang, Pengfei Jiang, Letao Yang, Liming Cheng, Ki‐Bum Lee   +7 more
wiley   +1 more source

Decoding potential lncRNA and disease associations through graph representation learning and gradient boosting with histogram. [PDF]

Sci Rep
Tang L, Liu L, Jiang Y, Yuan Y.
europepmc   +1 more source

A Low-rank Tensor Dictionary Learning Method for Multi-spectral Images Denoising

, 2018
Xiao Gong, Wei Chen
openalex   +2 more sources

Artificial Intelligence‐Driven Development in Rechargeable Battery Materials: Progress, Challenges, and Future Perspectives

Advanced Functional Materials, EarlyView.
AI is transforming the research paradigm of battery materials and reshaping the entire landscape of battery technology. This comprehensive review summarizes the cutting‐edge applications of AI in the advancement of battery materials, underscores the critical challenges faced in harnessing the full potential of AI, and proposes strategic guidance for ...
Qingyun Hu, Junyuan Lu, Jian Hui, Ziyuan Rao, Yang Ren, Hong Wang   +5 more
wiley   +1 more source

Consistent Position Bias Estimation without Online Interventions for Learning-to-Rank

, 2018
Aman Agarwal, Ivan Zaitsev, Thorsten Joachims   +2 more
openalex   +2 more sources

Experimentally Validated Design Principles of D‐Block Transition Metal Single‐Atom Non‐Dissociative Chemisorption Solid‐State Hydrogen Storage Materials

Advanced Functional Materials, EarlyView.
A novel descriptor and a bottom‐up design principle are established to enable the rational design of hydrogen storage materials based on d‐block transition metal single‐atom COFs. By modulating H₂ adsorption through d‐orbital tuning, this approach achieves both high storage capacity and fast kinetics, while revealing a volcano‐type relationship between
Qiuyan Yue, Chao Li, Yong Gao, Zhenglong Li, Wen‐Gang Cui, Xinqiang Wang, Guoquan Na, Xiaowei Wang, Yiyang Wan, Mingchang Zhang, Yanxia Liu, Fulai Qi, Chenchen Li, Xu Xue, Jian Miao, Jing Zhang, Xiao Han, Pan Wang, Chang Guo, Xiacui Liu, Mingxia Gao, Wenping Sun, Jian Chen, Zhenhai Xia, Hongge Pan   +24 more
wiley   +1 more source

Contrastive learning enhanced pseudo-labeling for unsupervised domain adaptation in person re-identification. [PDF]

PLoS One
Bai X, Zhang Y, Zhang C, Wang Z.
europepmc   +1 more source