Results 191 to 200 of about 14,339 (306)

Real‐Time 3D Ultrasound Imaging with an Ultra‐Sparse, Low Power Architecture

Advanced Healthcare Materials, EarlyView.
This article presents a novel, ultra‐sparse ultrasound architecture that paves the way for wearable real‐time 3D imaging. By integrating a unique convolutional array with chirped data acquisition, the system achieves high‐resolution volumetric scans at a fraction of the power and hardware complexity.
Colin Marcus, Md Osman Goni Nayeem, Aastha Shah, Jason Hou, Shrihari Viswanath, Maya Eusebio, David Sadat, Anantha P. Chandrakasan, Tolga Ozmen, Canan Dagdeviren   +9 more
wiley   +1 more source

A Review of Fault Diagnosis Methods: From Traditional Machine Learning to Large Language Model Fusion Paradigm. [PDF]

Sensors (Basel)
Nie Q, Geng J, Liu C.
europepmc   +1 more source

Advanced on-line condition monitoring of, and inter-turn short circuit setectionin, power transformers [PDF]

, 2018
Aburaghiega, Ehnaish, Farrag, M E A, Garcia, Belen, Hepburn, Donald   +3 more
core   +1 more source

Flexible Polypyrrole‐Based pH Sensors via Oxidative Chemical Vapor Deposition

Advanced Healthcare Materials, EarlyView.
Oxidative chemical vapor deposition (oCVD) of polypyrrole (PPy) thin films yields flexible, electrically conductive, and biocompatible pH sensors for monitoring on‐skin biological events. The highly sensitive, oCVD PPy skin‐conformal sensors enable real‐time, spatially resolved sensing of dynamic pH changes within physiologically relevant ranges (4–9 ...
Adrivit Mukherjee, Federico Ferrari, David Garcia Romero, Ilaria Squillante, Job Schoenmaker, Hamoon Hemmatpour, Anton Terpstra, Peter Dijkstra, Julien Es Sayed, L. Jan Anton Koster, Maria Antonietta Loi, Petra Rudolf, Giuseppe Portale, Ajay Giri Prakash Kottapalli, Marleen Kamperman, Ranjita K. Bose   +15 more
wiley   +1 more source

Fault Diagnosis Method for Excitation Dry-Type Transformer Based on Multi-Channel Vibration Signal and Visual Feature Fusion. [PDF]

Sensors (Basel)
Liu Y, Yu M, Wang J, Bao P, Zu W, Deng Y, Chen S, Ma L, Zhao P, Dou J.   +9 more
europepmc   +1 more source

Artificial Intelligence‐Assisted Workflow for Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling

Advanced Materials, EarlyView.
AI‐Assisted Workflow for (Scanning) Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling. Abstract (Scanning) transmission electron microscopy ((S)TEM) has significantly advanced materials science but faces challenges in correlating precise atomic structure information with the functional properties of ...
Marc Botifoll, Ivan Pinto‐Huguet, Enzo Rotunno, Thomas Galvani, Catalina Coll, Payam Habibzadeh Kavkani, Maria Chiara Spadaro, Yann‐Michel Niquet, Martin Børstad Eriksen, Sara Martí‐Sánchez, Georgios Katsaros, Giordano Scappucci, Peter Krogstrup, Giovanni Isella, Andreu Cabot, Gonzalo Merino, Pablo Ordejón, Stephan Roche, Vincenzo Grillo, Jordi Arbiol   +19 more
wiley   +1 more source

Research on engine power-loss fault diagnosis method based on time-series data mining. [PDF]

Sci Rep
Feng L, Liu L, Xu H, Gao S, Tang H, Cui J, Zhang B, Rao Y.   +7 more
europepmc   +1 more source

Transistor‐Level Activation Functions via Two‐Gate Designs: From Analog Sigmoid and Gaussian Control to Real‐Time Hardware Demonstrations

Advanced Materials, EarlyView.
Screen gate‐based transistors are presented, enabling tunable analog sigmoid and Gaussian activations. The SA‐transistor improves MRI classification accuracy, while the GA‐transistor supports precise Gaussian kernel tuning for forecasting. Both functions are implemented in a single device, offering compact, energy‐efficient analog AI processing ...
Junhyung Cho, Youngmin Han, Won Woo Lee, Youngwoo Yoo, Kannan Udaya Mohanan, Chang‐Hyun Kim, Junhwan Choi, Young‐Joon Kim, Wonjun Shin, Hocheon Yoo   +9 more
wiley   +1 more source

Rolling Bearing Fault Diagnosis via Meta-BOHB Optimized CNN-Transformer Model and Time-Frequency Domain Analysis. [PDF]

Sensors (Basel)
Wang Y, Jiang H, Tong B, Song S.
europepmc   +1 more source

Mesoporous Silica Nanoparticles in Biomedicine: Advances and Prospects

Advanced Materials, EarlyView.
Mesoporous silica nanoparticles offer unique properties like high surface area, tunable pores, and functionalization. They excel in drug delivery, tissue engineering, and stimuli‐responsive therapies, enabling targeted and controlled treatments. With roles in cancer therapy and diagnostics, their clinical translation requires addressing challenges in ...
Miguel Manzano, María Vallet‐Regí
wiley   +1 more source