Results 91 to 100 of about 254,753 (253)
Preprocessing of spectroscopic data to highlight spectral features of materials
The study of the extensive data sets generated by spectrometers, which are of the type commonly referred to as big data, plays a crucial role in extracting valuable information on mineral composition in various fields, such as chemistry, geology ...
Francisco Javier Esquivel +2 more
doaj +1 more source
Advances in Sustainable and Wearable Textile Based Soft Robotics
This Review examines advances in wearable textile‐based soft robotics, focusing on sustainable materials, integrated sensing, and scalable actuation. It discusses manufacturing and system integration across healthcare, assistive robotics, prosthetics, and human–machine interfaces, and highlights key challenges in circular design, including life‐cycle ...
Zahir Abbas +6 more
wiley +1 more source
Detection of OSA Through the Application of Deep Learning on Polysomnography Data
This paper presents a comprehensive study on the application of deep learning techniques to accurately detect sleep apnea. The study leverages a dataset obtained from the Sleep Laboratory of the Department of Chest Diseases of Yozgat Bozok University ...
Hasan Ulutas +7 more
doaj +1 more source
Implantable Ionic Memristors Based on Natural Polymer Heterojunctions
We report an implantable natural polymer‐based ionic memristor composed of hyaluronic acid, chitosan, and PDMS. The device achieved 98.94% accuracy in MNIST classification while reducing training time by 36.8% compared with a conventional artificial neural network (ANN).
Dong‐yup Lee +6 more
wiley +1 more source
Cardiovascular diseases (CVDs) remain a major global health challenge, requiring early-detection models that are both accurate and generalizable across diverse data settings. This study introduces a preprocessing-enhanced stacking ensemble for binary CVD
Adeel Ashraf +7 more
doaj +1 more source
Hyperspectral Prediction Models of Chlorophyll Content in Paulownia Leaves under Drought Stress
This study explored the quantitative inversion of the chlorophyll content in Paulownia seedling leaves under drought stress and analyzed the factors influencing the chlorophyll content from multiple perspectives to obtain the optimal model.
Yamei Zhang +3 more
doaj +1 more source
Tandem 2D vdW ferroelectric heterojunctions enable spectrally selective, self‐powered bipolar opto‐synaptic responses for retinal ON/OFF bipolar cell emulation and wavelength‐programmable logic operations. This work establishes vdW ferroelectric heterojunctions as a compelling materials platform for energy‐efficient, adaptive, and human‐like artificial
Rajiv Kumar Pandey +4 more
wiley +1 more source
Guidance for Interactive Visual Analysis in Multivariate Time Series Preprocessing
Multivariate time series analysis presents significant challenges due to its dynamism, heterogeneity, and scalability. Given this, preprocessing is considered a crucial step to ensure analytical quality.
Flor de Luz Palomino Valdivia +1 more
doaj +1 more source
Certified MaxSAT Preprocessing
Building on the progress in Boolean satisfiability (SAT) solving over the last decades, maximum satisfiability (MaxSAT) has become a viable approach for solving NP-hard optimization problems, but ensuring correctness of MaxSAT solvers has remained an important concern.
Hannes Ihalainen +5 more
openaire +2 more sources
Multimode Oxide‐Based Optoelectronic Memtransistor for In‐Sensor Vision Processing
A multimode optoelectronic memtransistor (OEMT) is demonstrated for vision explainable artificial intelligence (VXAI) hardware. By integrating optical sensing, electrical masking, and non‐volatile memory, the device enables key operations required for generating saliency information.
Min Gu Lee +10 more
wiley +1 more source

