Results 261 to 270 of about 107,251 (304)

Synthetic Electrocardiogram Spectrogram Generation Using Generative Adversarial Network‐Based Models: A Comparative Study

Advanced Intelligent Systems, EarlyView.
Cardiovascular diseases are leading death causes; electrocardiogram (ECG) analysis is slow, motivating machine learning and deep learning. This study compares deep convolutional generative adversarial network, conditional GAN, and Wasserstein GAN with gradient penalty (WGAN‐GP) for synthetic ECG spectrograms; Fréchet Inception Distance (FID) and ...
Giovanny Barbosa‐Casanova, Norelli Schettini, Winston Percybrooks, Begoña García‐Zapirain   +3 more
wiley   +1 more source

A Generalizable Transformer Framework for Gene Regulatory Network Inference from Single‐Cell Transcriptomes

Advanced Intelligent Systems, EarlyView.
FTGRN introduces an LLM‐enhanced framework for gene regulatory network inference through a two‐stage workflow. It combines a Transformer‐based model, pretrained on GPT‐4 derived gene embeddings and regulatory knowledge, with a fine‐tuning stage utilizing single‐cell RNA‐seq data.
Guangzheng Weng, Hyobin Kim, Patrick Martin, Junil Kim, Tae‐Hyung Kim, Gi‐Hoon Nam, Dongha Kim, Kyoung Jae Won   +7 more
wiley   +1 more source

Review of Memristors for In‐Memory Computing and Spiking Neural Networks

Advanced Intelligent Systems, EarlyView.
Memristors uniquely enable energy‐efficient, brain‐inspired computing by acting as both memory and synaptic elements. This review highlights their physical mechanisms, integration in crossbar arrays, and role in spiking neural networks. Key challenges, including variability, relaxation, and stochastic switching, are discussed, alongside emerging ...
Mostafa Shooshtari, Teresa Serrano‐Gotarredona, Bernabé Linares‐Barranco   +2 more
wiley   +1 more source

Iterative Data Curation for Machine Learning‐Based Inverse Design of Active Composite Plates for Four‐Dimensional Printing

Advanced Intelligent Systems, EarlyView.
A machine learning framework is developed for the inverse design of 4D‐printed active composite plates. It utilizes a forward model to predict shapes from patterns and an inverse model to suggest initial patterns for desired shapes. This framework integrates a genetic algorithm to refine the predicted patterns, ensuring higher accuracy in achieving ...
Teerapong Poltue, Chao Zhang, Frédéric Demoly, Kun Zhou, H. Jerry Qi   +4 more
wiley   +1 more source

Feature Disentangling and Combination Implemented by Spin–Orbit Torque Magnetic Tunnel Junctions

Advanced Intelligent Systems, EarlyView.
Spin–orbit torque magnetic tunnel junctions (SOT‐MTJs) enable efficient feature disentangling and integration in image data. A proposed algorithm leverages SOT‐MTJs as true random number generators to disentangle and recombine features in real time, with experimental validation on emoji and facial datasets.
Xiaohan Li, Yingqian Xu, Caihua Wan, Ran Zhang, Meike Hindenberg, Raik Hoffmann, Shiqiang Liu, Tianyi Zhang, Shilong Xiong, Dehao Kong, Jihao Xia, Fangshuo Gao, Zhuyang Nie, Thomas Kämpfe, Guoqiang Yu, Xiufeng Han   +15 more
wiley   +1 more source

A Fully Soft Sensing Suit With Optimal Sensor Placement for Real‐Time Motion Tracking

Advanced Intelligent Systems, EarlyView.
A fully soft, skin‐conformable sensing suit integrating stretchable sensors, liquid metal wiring, and soft electrodes was developed using direct ink writing, with sensor placement optimized through an automated algorithmic pipeline. This system enables accurate and unobtrusive real‐time motion tracking, providing a scalable, material‐based solution to ...
Jinhyeok Oh, Joonbum Bae
wiley   +1 more source

Transforming RNA Degradation into Accurate RNA Detection: RNase I–Assisted Rolling Circle Amplification for Clinical Samples

Angewandte Chemie, EarlyView.
Here, we transform this otherwise destructive enzymatic activity into a powerful diagnostic advantage through an RNase I–assisted rolling circle amplification (RI‐RCA) strategy. By integrating controlled RNase I–mediated RNA digestion with circular DNA templates, this approach enables direct and highly sensitive detection of target RNA sequences. Using
Amal Mathai, Cheng‐Yu Lee, Zijie Zhang, Jimmy Gu, John D. Brennan, Yingfu Li   +5 more
wiley   +2 more sources

A Neural Network‐Based Self‐Sensing Embedded Position Control System for Shape Memory Alloy Wire Actuators

Advanced Intelligent Systems, EarlyView.
Shape memory alloy wires exhibit thermally induced phase changes that generate actuation strain and resistance variations enabling self‐sensing. However, hysteretic electromechanical behavior complicates accurate state estimation. This paper presents an artificial in‐based self‐sensing method to reconstruct SMA actuator position in real time, achieving
Krunal Koshiya, Gianluca Rizzello, Paul Motzki   +2 more
wiley   +1 more source

Molecular Electrocatalyst Enables Direct Electrochemical Capture and Conversion of CO2 up to Atmospheric Concentration

Angewandte Chemie, EarlyView.
A molecular manganese electrocatalyst enables the direct electrochemical capture and conversion of dilute CO2 (1% – 0.2%) to CO with nearly unit Faradaic efficiency, achieving high efficiency even at atmospheric concentrations (420 ppm). By bypassing energy‐intensive pre‐concentration steps, this integrated approach highlights a sustainable pathway for
Mattia Vettori, Federico Franco, Sergio Fernández, Guillem Pey, Vlad Martin Diaconescu, Josep M. Luis, Julio Lloret‐Fillol   +6 more
wiley   +2 more sources

When Does Alzheimer's Disease Start? Plasma Aβ42/40 Assays Show Steep Changes at Aβ‐PET Centiloid 15, Mean Age of 66 Years

Annals of Neurology, EarlyView.
Objective Sporadic late‐onset Alzheimer's disease (AD) is characterized by a long pre‐clinical phase where amyloid‐beta (Aβ) and tau begin to accumulate in the brain. The primary objective was to determine the age at which AD starts by finding the average population age when both positron emission tomography (PET) Aβ (Aβ‐PET) and plasma Aβ42/40 become ...
Rodrigo Cánovas, Timothy Cox, Vincent Doré, Pierrick Bourgeat, Jurgen Fripp, Azadeh Feizpour, Rosita Shishegar, Christopher J. Fowler, Simon M. Laws, Tenielle Porter, Stephanie Rainey‐Smith, Leslie M. Shaw, Randall J. Bateman, Yan Li, Ovod Vitaliy, Michael W. Weiner, John C. Morris, Tammie L.S. Benzinger, Suzanne E. Schindler, Akinori Nakamura, Takeshi Iwatsubo, Takeshi Ikeuchi, Takashi Kato, Paul Maruff, Hamid R. Sohrabi, Christopher C. Rowe, Ralph N. Martins, Colin L. Masters, James D. Doecke, for the Alzheimer's Disease Neuroimaging Initiative   +29 more
wiley   +1 more source