Results 171 to 180 of about 1,587,623 (364)

Edge Information‐Augmented Auxiliary Diagnosis Method for Cervical Cancer in Medical Decision‐Making Systems

Advanced Intelligent Systems, EarlyView.
To address the problems of insufficient utilization of multiscale features and inefficient feature sharing between tasks in the model, this study proposes an edge‐enhanced intelligent cervical cancer screening method that achieves feature reuse and improves efficiency by jointly optimizing nucleolus segmentation and lesion classification.
Li Wen, Xiaoqing Zhang, Tingyi Dai, Fangfang Gou, Jia Wu   +4 more
wiley   +1 more source

A 65 nm CMOS Synthesizable Digital Low-Dropout Regulator Based on Voltage-to-Time Conversion with 99.6% Current Efficiency at 10-mA Load

, 2019
Naoki Ojima, Toru Nakura, Tetsuya Iizuka, Kunihiro Asada   +3 more
openalex   +2 more sources

Soft Robotic Sim2Real via Conditional Flow Matching

Advanced Intelligent Systems, EarlyView.
A new framework based on conditional flow matching addresses the persistent Sim2Real gap in soft robotics. By learning a conditional probability path, the model directly transforms inaccurate simulation data to match physical reality, successfully capturing complex phenomena like hysteresis.
Ge Shi, Xing Wang, André Farinha, Joshua Pinskier, Xing Shen, Richard Scalzo, David Howard   +6 more
wiley   +1 more source

Swarm intelligence-optimized deep neural network for intelligent diagnosis of lithium‑ion battery state of health. [PDF]

Sci Rep
Li C, Yan B, Zhu C, Zhou X, Jia Y.
europepmc   +1 more source

Dropout Kolmogorov–Arnold Networks: A Novel Data-Driven Impedance Modeling Approach for Voltage-Source Converters

Moetasem Ali, Yasser Abdel‐Rady I. Mohamed   +1 more
openalex   +1 more source

Comparison of low-dropout voltage regulators designed with line and nanowire tunnel-FET experimental data including a simple process variability analysis

, 2023
Wenita de Lima Silva, Rodrigo do Nascimento Tolêdo, Walter Gonçalez Filho, Alexandro de Moraes Nogueira, Paula Ghedini Der Agopian, João Antônio Martino   +5 more
openalex   +1 more source

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 High-PSRR LDO with Low Noise and Ultra-Low Power Consumption. [PDF]

Micromachines (Basel)
Guo N, Cheng J, Yue C, Chen C, Liu C, Dong L.   +5 more
europepmc   +1 more source

Nano-Power Low-Dropout Voltage Regulator Circuit in 90-nm CMOS Technology for RF SoC Applications

, 2021
Hicham Akhamal, Mostafa Chakir, Hatim Ameziane, Mohammed Akhamal, Kamal Zared, Hassan Qjidaa   +5 more
openalex   +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