Results 91 to 100 of about 254,753 (253)

Preprocessing of spectroscopic data to highlight spectral features of materials

open access: yesAnalytical Science Advances
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

open access: yesAdvanced Functional Materials, EarlyView.
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

open access: yesElektronika ir Elektrotechnika
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

open access: yesAdvanced Functional Materials, EarlyView.
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

A preprocessing-enhanced stacking classifier for generalized cardiovascular disease detection across diverse datasets

open access: yesScientific Reports
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

open access: yesSensors
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

Spectrally Selective Bipolar Self‐Powered Opto‐Synaptic Responses in Tandem 2D van Der Waals Ferroelectric Heterojunctions

open access: yesAdvanced Functional Materials, EarlyView.
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

open access: yesSensors
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

open access: yesCoRR
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

open access: yesAdvanced Functional Materials, EarlyView.
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

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