Results 131 to 140 of about 552,282 (301)
Convolutional Neural Networks for Distant Speech Recognition [PDF]
Paweł Świętojański +2 more
openalex +1 more source
Contemporary electronic devices produce significant waste, harming ecosystems. Innovation in design, consumption, materials, and end‐of‐life management is crucial. This review explores advanced materials for sustainable and responsible electronics, highlighting their potential to reduce environmental and health hazards while improving device ...
Rawan Omar +7 more
wiley +1 more source
Head-pose invariant facial expression recognition using convolutional neural networks
Beat Fasel
openalex +2 more sources
Multi‐Level Hybrid Anti‐Counterfeit Labels via Solid‐State Dewetting Under Spatial Confinement
This study presents a hybrid encoding approach combining deterministic patterns fabricated by photolithography and stochastic features formed by the solid‐state dewetting of silver films under strong confinement at the micrometer and nanometer length scales.
Farnaz Foadi +5 more
wiley +1 more source
Efficient Training Algorithms for a Class of Shunting Inhibitory Convolutional Neural Networks
Fok Hing Chi Tivive +1 more
openalex +2 more sources
Multiparameter Closed‐Loop Control to Advance Reliability of Aerosol Jet Printing
A multiparameter framework for closed‐loop control of aerosol jet printing is developed to improve process consistency over both short and long timescales. By creating a control architecture responsive to the dynamic behavior of the printing system, variability in functional electrical properties is significantly reduced over extended duration printing,
Andrew J. Schwartz +2 more
wiley +1 more source
Advances in Optical Techniques for Tumor Detection
Cancer detection is vital for patient survival. Optical technologies overcome conventional cytology's limitations with high sensitivity and molecular specificity. This review highlights five techniques: Raman spectroscopy, fluorescence sensors, fiber optic sensors, photoacoustic imaging, and colorimetric detection for tumor diagnosis via direct ...
Yang Yu +6 more
wiley +1 more source
Distant Supervision for Relation Extraction via Piecewise Convolutional Neural Networks [PDF]
Daojian Zeng +3 more
openalex +1 more source
Applications of QSPR and Machine Learning in Molecular Photonics
Quantitative structureproperty relationships (QSPR) and machine learning (ML) are transforming photochemistry by enabling pre‐synthetic screening of photoactive molecules. This review outlines advances in data‐driven discovery of optical materials and functional dyes, identifies effective descriptors and models for photophysical processes, and provides
Andrey A. Buglak +2 more
wiley +1 more source
Event Extraction via Dynamic Multi-Pooling Convolutional Neural Networks [PDF]
Yubo Chen +4 more
openalex +1 more source

