Results 51 to 60 of about 6,580,146 (248)

Drop‐on‐Demand Printed Negative Dielectric Anisotropy Liquid Crystal Droplets for Adaptive Complex Beam Manipulation and Assessment

Advanced Functional Materials, EarlyView.
Printed negative‐dielectric‐anisotropy liquid‐crystal droplets enable multidimensional full‐vectorial optical‐field sensing across polarization, phase, and wavelength, while also generating tunable skyrmionic‐like complex optical fields. ABSTRACT Adaptive manipulation of vectorial optical fields is important for optical metrology, imaging, and ...
Jinge Guo, Xuke Qiu, Runchen Zhang, Qihao Han, Liangyu Deng, Yishun Lu, Zimo Zhao, Mengmeng Li, Waqas Kamal, Junseok Ma, Yongge Ma, Steve J. Elston, Alfonso A. Castrejón‐Pita, Stephen M. Morris, Chao He   +14 more
wiley   +1 more source

Machine Learning-Driven Demand Forecasting in the Automotive Supply Chain

Applied Computational Intelligence and Soft Computing
Demand forecasting is a critical component and a major challenge within supply chain management. Accurate forecasts can help reduce costs, improve operational efficiency, and increase overall company performance.
Abdellah Bais, Khalid Amechnoue
doaj   +1 more source

Study of the influence of meteorological factors on HFMD and prediction based on the LSTM algorithm in Fuzhou, China

BMC Infectious Diseases, 2023
Background This study adopted complete meteorological indicators, including eight items, to explore their impact on hand, foot, and mouth disease (HFMD) in Fuzhou, and predict the incidence of HFMD through the long short-term memory (LSTM) neural network
Hansong Zhu, Si Chen, Rui Liang, Yulin Feng, Aynur Joldosh, Zhonghang Xie, Guangmin Chen, Lingfang Li, Kaizhi Chen, Yuanyuan Fang, Jianming Ou   +10 more
doaj   +1 more source

Mean absolute percentage error (MAPE) and error range for the four activity monitors tested irrespective of footwear type.

, 2016
Mean absolute percentage error (MAPE) and error range for the four activity monitors tested irrespective of footwear type.
Orlaith Kilgannon (2742577), Leo R. Quinlan (2742571), Sandra O’Connell (2742574), Sorcha Beirne (2742580), Elaine Murphy (2742586), Niall Burke (407994), Lisa Kelly (2742589), Gearóid ÓLaighin (2742583)   +7 more
core   +1 more source

Intelligent Orthopedics: Machine Learning in Diagnosis of Bone Disease, Implants, and Bone Health Monitoring

Advanced Healthcare Materials, EarlyView.
Efficient recovery from traumatic or degenerative diseases is a great challenge, even after all the advancements in bone and cartilage regeneration. Machine learning (ML) algorithms have presented opportunities to enhance these aspects by accurately analyzing imaging data.
Maryam Kamaei, Hesam Mohammadi, Shamim Golafshan, Mojtaba Alehosseini, Mahsa Mohammadzadeh, Atefeh Golshirazi, Nasim Golafshan, Tatiane Eufrásio‐da‐Silva, Alireza Dolatshahi‐Pirouz, Gorka Orive   +9 more
wiley   +1 more source

Mean absolute percentage error (MAPE) and error range for the four activity monitors tested: all values ± 2SD from the mean observed step count excluded.

, 2016
Mean absolute percentage error (MAPE) and error range for the four activity monitors tested: all values ± 2SD from the mean observed step count excluded.
Orlaith Kilgannon (2742577), Leo R. Quinlan (2742571), Sandra O’Connell (2742574), Sorcha Beirne (2742580), Elaine Murphy (2742586), Niall Burke (407994), Lisa Kelly (2742589), Gearóid ÓLaighin (2742583)   +7 more
core   +1 more source

Sub‐Nanometer Curvature Unlocks Quantum Orbital Flexoelectricity in Graphene

Advanced Materials, EarlyView.
In self‐assembled, reproducible, large‐area, quasi‐pristine graphene nanowrinkles, extreme curvature forces out‐of‐plane π‐electrons toward hybridization, driving a transition from classical to quantum orbital flexoelectricity. As curvature approaches the fundamental physical limit set by the C─C bond length, the resulting polarization increases by ...
Sathvik Ajay Iyengar, James G. McHugh, Jonathan P. Salvage, Robert Vajtai, Venkataramana Gadhamshetty, Alan B. Dalton, Manoj Tripathi, Pulickel M. Ajayan, Vincent Meunier   +8 more
wiley   +1 more source

Leveraging Large Language Models for Discrepancy Value Prediction in Custody Transfer Systems: A Comparative Analysis of Probabilistic and Point Forecasting Approaches

IEEE Access
Discrepancies in custody transfer systems in the oil and gas industry pose significant financial, regulatory, and operational risks. Accurate prediction of these discrepancies is critical to optimizing operations and minimizing potential losses.
Fiki Hidayat, Arbi Haza Nasution, Fajril Ambia, Dike Fitriansyah Putra, Mulyandri   +4 more
doaj   +1 more source

Weighted Mean Absolute Percentage Error (WMAPE) in respect of time series data for various types of calls for ambulance services in the validation phase.

, 2023
Weighted Mean Absolute Percentage Error (WMAPE) in respect of time series data for various types of calls for ambulance services in the validation phase.
Pavithra M.R. (17020629), Balaji Venugopal (11728142), Ashwin Prakash (14114777), Sarthak Gupta (11920366), Bhairav Phukan (17020626), Kandaswamy Paramasivan (12575351)   +5 more
core   +1 more source

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

Advanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena, J. Terence Blaskovits, Kun‐Han Lin, Denis Andrienko   +3 more
wiley   +1 more source