Results 171 to 180 of about 683,409 (316)
Advanced Intelligent Discovery, EarlyView.Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley +1 more source
Comparative Study of Different Algorithms for Human Motion Direction Prediction Based on Multimodal Data. [PDF]
Sensors (Basel)Zhao H +8 more
europepmc +1 more source
Fault Diagnosis of Centrifugal fan Bearings Based on I-CNN and JMMD in the Context of Sample Imbalance [PDF]
Yang Gao, Xueyi Li
openalex +1 more source
Advanced Intelligent Discovery, EarlyView.Exosomes are emerging as powerful biomarkers for disease diagnosis and monitoring. This review highlights the integration of surface‐enhanced Raman spectroscopy with artificial intelligence to enhance molecular fingerprinting of exosomes. Machine learning and deep learning techniques improve spectral interpretation, enabling accurate classification of ...
Munevver Akdeniz +2 more
wiley +1 more source
Short-Time Homomorphic Deconvolution (STHD): A Novel 2D Feature for Robust Indoor Direction of Arrival Estimation. [PDF]
Sensors (Basel)Park Y, Kim JH.
europepmc +1 more source
CNN in drug design — Recent developments
, 2015 Joerg Wichard +2 more
openalex +2 more sources
Probabilistic Object Classification using CNN ML-MAP layers [PDF]
, 2020 Gledson Melotti +4 more
openalex +1 more source
Toward Environmentally Friendly Hydrogel‐Based Flexible Intelligent Sensor Systems
Advanced Intelligent Discovery, EarlyView.This review summarizes environmentally and biologically friendly hydrogel‐based flexible sensor systems focusing on physical, chemical, and physiological sensors. Furthermore, device concepts moving forward for the practical application are discussed about wireless integration, the interface between hydrogel and dry electronics, automatic data analysis
Sudipta Kumar Sarkar, Kuniharu Takei
wiley +1 more source
Advancing SAR Target Recognition Through Hierarchical Self-Supervised Learning with Multi-Task Pretext Training. [PDF]
Sensors (Basel)Siam MA, Noor DF, Ndoye M, Khan JF.
europepmc +1 more source
Phishing URL Detection Using Deep Learning: A CNN-Based Approach
Maryam Saeed +2 more
openalex +2 more sources