Results 51 to 60 of about 1,309,182 (144)

Intelligent Fault Diagnosis of Rolling-Element Bearings Using a Self-Adaptive Hierarchical Multiscale Fuzzy Entropy

, 2021
The fuzzy-entropy-based complexity metric approach has achieved fruitful results in bearing fault diagnosis. However, traditional hierarchical fuzzy entropy (HFE) and multiscale fuzzy entropy (MFE) only excavate bearing fault information on different ...
Yadong Xu, Minping Jia, Xiaoan Yan
core   +1 more source

Improving Multiscale Fuzzy Entropy Robustness in EEG-Based Alzheimer’s Disease Detection via Amplitude Transformation [PDF]

This study investigates the effectiveness of amplitude transformation in enhancing the performance and robustness of Multiscale Fuzzy Entropy for Alzheimer’s disease detection using electroencephalography signals.
Raissa Schiavoni, Marisa Pesola, Antonio Masciullo, Egidio De Benedetto, Pasquale Arpaia, Maria Cacciapuoti, Sabatina Criscuolo, Andrea Cataldo, Masciullo A., Cacciapuoti M., De Benedetto E., Criscuolo, Sabatina, Arpaia, Pasquale, Schiavoni, Raissa, Cataldo, Andrea, Cataldo A., De Benedetto, Egidio, Cacciapuoti, Maria, Schiavoni R., Pesola M., Criscuolo S., Arpaia P., Masciullo, Antonio, Pesola, Marisa   +23 more
core   +2 more sources

A Generative AI Framework to Predict Cardiomyocyte Contraction Function From Single Static Images

Advanced Intelligent Discovery, EarlyView.
A single static hiPSC‐cardiomyocyte image is fed into a U‐Net‐GAN framework, which directly predicts a pixel‐resolved contraction heatmap without time‐lapse imaging. StyleGAN2‐generated synthetic cell–heatmap pairs augment training, improving prediction fidelity (SSIM = 0.84).
Andrew Kowalczewski, Chenyan Wang, Xinrui Wang, Huaxiao Yang, Zhao Qin, Zhen Ma   +5 more
wiley   +1 more source

Exponential entropy on intuitionistic fuzzy sets [PDF]

, 2013
summary:In the present paper, based on the concept of fuzzy entropy, an exponential intuitionistic fuzzy entropy measure is proposed in the setting of Atanassov's intuitionistic fuzzy set theory. This measure is a generalized version of exponential fuzzy
Verma, Rajkumar, Sharma, Bhu Dev
core   +1 more source

SFMFNet: Spatial‐Frequency Multiscale Fusion Network for Left Ventricle Segmentation in Echocardiography

Advanced Intelligent Systems, EarlyView.
Automatic left ventricular segmentation in echocardiography is critical for cardiac function assessment but remains challenging due to limited crossdomain feature interaction. This paper proposes SFMFNet, a Spatial‐Frequency Multi‐Scale Fusion Network that integrates multiscale convolution, wavelet transform, and Fourier transform.
Dang Li, Patrick Pang, Chi‐Kin Lam, Tao Tan   +3 more
wiley   +1 more source

Beyond the Camera: Epidermal Sensor Platforms for Intelligent Facial Expression Recognition and Interactive Human Monitoring

Advanced Intelligent Systems, EarlyView.
Skin‐conformal epidermal sensors enable camera‐free intelligent facial monitoring by converting facial deformation and muscle activity into electrical signals through piezoresistive, capacitive, electrophysiologic, and self‐powered mechanisms. Coupled with artificial intelligence (AI), these platforms support facial expression recognition, human ...
Jeehyun Joung, Manchi Nagaraju, Jun‐Gyu Choi, Jaeil Park, Sungjun Park, Daegun Kim   +5 more
wiley   +1 more source

Real‐time lithology identification while drilling based on drill cuttings image analysis with ensemble learning

Deep Underground Science and Engineering, EarlyView.
A lithology identification while drilling method was developed, integrating an automated cuttings sampling system, a smart drilling rig, and an ensemble learning model. Underground trials achieved 97.42% accuracy in real‐time identification of cuttings lithology and composition, enhancing hazard management and supporting unmanned drilling technology in
Kun Li, Ting Ren, Ningping Yao, Jon Roberts, Haitao Song, Zhongbei Li, Xueqiu He, Liang Zhao   +7 more
wiley   +1 more source

Tissue Clearing for Lymph Nodes: 3D Mapping of Nerves and the Immune Microenvironment

iNew Medicine, EarlyView.
ABSTRACT Lymph nodes (LNs) are central hubs of adaptive immunity and key relay sites for metastatic tumour cells. However, conventional two‐dimensional histology samples only a small fraction of each node, potentially missing micrometastases and multifocal involvement while obscuring long‐range spatial relationships among tumour deposits, immune ...
Guang‐Hong Su, Fei Wang, Ting‐Hong Wei, Rui Lu, Wen‐Jun Huang, Xiang Zhang, Ling Yin, Jun Li   +7 more
wiley   +1 more source

Why Use Immersive Virtual Reality to Assess Gait in Functional Motor Disorders?

Movement Disorders, EarlyView.
Abstract Background Functional motor disorders (FMD) are disabling conditions modulated by attentional demands. Immersive virtual reality (iVR) engages multiple attentional and sensory networks, but its application in people with FMD (PwFMD) remains limited.
Marialuisa Gandolfi, Chiara Bonetto, Corrado Perin, Angela Sandri, Giulia Bonardi, Ilaria Antonella Di Vico, Laura Avanzino, Elisa Pelosin, Mauro Crestani, Christian Geroin, Denis Vidale, Marco Pirini, Mirta Fiorio, Michele Tinazzi, Francesca Salaorni   +14 more
wiley   +1 more source

Detecting Plateau Zokor (Eospalax baileyi) Mounds in UAV Imagery of Alpine Meadows Using Deep Learning Algorithms

Remote Sensing in Ecology and Conservation, EarlyView.
We developed PZM‐YOLO to automatically detect plateau zokor mounds in UAV imagery of alpine meadows. The model achieved reliable detection of small and densely distributed mounds under complex backgrounds, outperforming the baseline YOLOv5s. This framework supports mound counting, mound position, rodent impact assessment, and grassland restoration ...
Yang Yang, Limin Hua, Lianguo Wang, Jiazhen Li, Rui Dong, Siwei Yang   +5 more
wiley   +1 more source