Results 181 to 190 of about 874,374 (290)

Average Mean Absolute Percentage Error (MAPE) of different forecasting methods.

Md Shakhawath Hossain (17537148), Farjana Parvin (790298)   +1 more
openalex   +1 more source

Recent Progress on Flexible Multimodal Sensors: Decoupling Strategies, Fabrication and Applications

Advanced Materials, EarlyView.
In this review, we establish a tripartite decoupling framework for flexible multimodal sensors, which elucidates the underlying principles of signal crosstalk and their solutions through material design, structural engineering, and AI algorithms. We also demonstrate its potential applications across environmental monitoring, health monitoring, human ...
Tao Wu, Yu‐Tao Li, Luyu Zhao, Yi Zhang, Zhaojie Zhang, Jian Yuan, Yiwen Wu, Anqi Che, Yuanxiao Ma, Yang Chai, Yeliang Wang   +10 more
wiley   +1 more source

Development and validation of a machine learning model for real-time blood glucose prediction for ICU patients. [PDF]

BMC Med Inform Decis Mak
Cai S, Hu Y, Hong Y, Qian L, Lin S, Lin X, Zhong M, Zhang Y.   +7 more
europepmc   +1 more source

Atomically Resolved Acoustic Dynamics Coupled with Magnetic Order in a Van der Waals Antiferromagnet

Advanced Materials, EarlyView.
Magnetically coupled acoustic phonon modes (f1, f2, f3) are captured by ultrafast X‐ray diffraction in a prototypical van der Waals antiferromagnet FePS3, including their atomic displacement vectors (u) and the acoustic propagation wave vectors (k). Notably, the atomic displacement vector and amplitude of these modes, represented by the direction and ...
Faran Zhou, Kyle Hwangbo, Sung Soo Ha, Xiao‐Wei Zhang, Sae Hwan Chun, Jaeku Park, Intae Eom, Qianni Jiang, Zekai Yang, Marc Zajac, Sungwon Kim, Sungwook Choi, Zhaodong Chu, Kyoung Hun Oh, Yifan Su, Alfred Zong, Elton J. G. Santos, Ting Cao, Jiun‐Haw Chu, Stephan O. Hruszkewycz, Nuh Gedik, Di Xiao, Hyunjung Kim, Xiaodong Xu, Haidan Wen   +24 more
wiley   +1 more source

Performance Analysis of Boosting-Based Machine Learning Models for Predicting the Compressive Strength of Biochar-Cementitious Composites. [PDF]

Materials (Basel)
Kim J, Ryu D, Hwan H, Lee H.
europepmc   +1 more source

Mean absolute percentage error (%) between energy expenditure measured by four smartwatches and MM3B during cycling (N = 20).

Yongfu Liu (2030617), Fei Liu (21082), Wenjun Yu (644052), Yuxin Xiao (6481145), Di Liu (30843), Zhi Li (72309), Weiwei Chen (349099), Feng Gao (3548), Shenglong Le (10288373)   +8 more
openalex   +1 more source

Ultra‐Improved Interfacial Strength Between Metallic Surface and Polyurethane via Cost‐Effective Anodizing Process

Advanced Materials Interfaces, EarlyView.
SAA significantly enhanced Al/PU bonding, increasing SLSS by up to 920% and fracture energy by 15 100% through optimized micro‐nano porous surfaces. RSM identified the optimal anodizing conditions, while ML confirmed sulfuric acid concentration and roughness as dominant predictors of strength.
Umut Bakhbergen, Sherif Araby, Zhandos Tauanov, Nursultan Turdakyn, Reza Montazami, Fethi Abbassi, Gulnur Kalimuldina   +6 more
wiley   +1 more source

Defect Properties and Band Energetics of Atomic Layer Deposited MoOX on Crystalline Si

Advanced Materials Interfaces, EarlyView.
Atomic layer deposited MoOx thin films grown using oxygen plasma and ozone co‐reactants exhibit tunable defect densities and band energetics. Optical and X#x02010;ray photoelectron spectroscopies reveal oxygen#x02010;vacancy#x02010;induced defect and polaron states and their impact on band alignment at the c#x02010;Si/MoOx interface, providing insight ...
Namitha Dsouza, Tim Rieth, Ian D Sharp, Jatin K Rath   +3 more
wiley   +1 more source

Prediction of the disease burden of nasopharyngeal carcinoma in China: A comparative analysis of ARIMA, LSTM, and DNN models. [PDF]

Medicine (Baltimore)
Chen Y, Zhang K, Luo J.
europepmc   +1 more source