Results 231 to 240 of about 204,781 (309)

Intelligent machining error prediction and compensation system based on convolutional neural networks and improved genetic algorithm. [PDF]

Sci Rep
Bai W.
europepmc   +1 more source

Enhancing Super‐Resolution Spatial Transcriptomics Data by Transfer Learning

Advanced Science, EarlyView.
SpotZoomer employs a transfer‐learning‐based strategy to enhance the resolution of Visium data by leveraging available high‐resolution priors. The resulting super‐resolved maps enable sharper delineation of cell boundaries and more precise inference of cell–cell communication patterns that would otherwise remain obscured at native resolution.
Xiaoyu Li, Lihua Zhang, Wenwen Min
wiley   +1 more source

Blind Image Quality Assessment Using Convolutional Neural Networks. [PDF]

Sensors (Basel)
Frackiewicz M, Palus H, Trojanowski W.
europepmc   +1 more source

A Unified Flash Memory Platform for Mode‐Adaptive and Robust AI Computation

Advanced Science, EarlyView.
A unified AND‐type flash memory platform enables both transistor‐mode and capacitor‐mode computing‐in‐memory operations within the same device structure. By selectively switching the sensing mode through peripheral reconfiguration, the platform provides adaptable trade‐offs between computational accuracy, robustness, and energy efficiency for AI ...
Dayeon Yu, Hwiho Hwang, Byeongchan Oh, Junmo Lee, Shimeng Yu, Tae‐Hyeon Kim, Hyungjin Kim   +6 more
wiley   +1 more source

Brain tumour detection from magnetic resonance imaging using convolutional neural networks

Contemporary Oncology
Irene Rethemiotaki
doaj   +1 more source

Age Prediction of Hematoma from Hyperspectral Images Using Convolutional Neural Networks. [PDF]

J Imaging
Keshavarz A, Bieber G, Wulff D, Babian C, Lüdtke S.   +4 more
europepmc   +1 more source

A Dual‐Modal Wearable PPG Smartwatch with AI‐Enhanced Correction for High‐Accuracy and Continuous AF Burden Assessment

Advanced Science, EarlyView.
ABSTRACT Atrial fibrillation (AF) increases the risk of stroke and heart failure, yet accurate quantification of AF burden in daily life remains difficult. Although smartwatch photoplethysmography (PPG) supports continuous monitoring, complex rhythms and signal noise can impair burden estimation.
Song Zuo, Jinglei Wang, Xin Wang, Han Feng, Yize Zhao, Fadong Li, Shaobin Wei, Le Zhou, Zixu Zhao, Songjie Chen, Xiangyi Kong, Jue Wang, Liu He, Shijun Xia, Xin Li, Junmeng Zhang, Xiaoxia Liu, Xueyuan Guo, Ning Zhou, Songnan Li, Chenxi Jiang, Ribo Tang, Caihua Sang, Deyong Long, Xin Du, Jianzeng Dong, Wenwu Zhu, Changsheng Ma   +27 more
wiley   +1 more source

Impact of Simulated Artifacts on the Classification Performance of Apical Views in Transthoracic Echocardiography Using Convolutional Neural Networks. [PDF]

Bioengineering (Basel)
Orzeł-Łomozik GB, Łomozik Ł, Podolski M, Rożek M, Światlak K, Radwan W, Przybylska Z, Michalska P, Pruski M, Mizia-Stec K.   +9 more
europepmc   +1 more source

Maximizing Nanoscale Disorder in Block Copolymers for Orientation‐Independent SERS Platform Toward Non‐Invasive Diagnostics

Advanced Science, EarlyView.
Maximizing Nanoscale Disorder in Block Copolymers for Orientation‐Independent SERS Platform toward Non‐Invasive Diagnostics is a nature‐inspired strategy that engineers controlled randomness within block copolymer lamellae to achieve optical isotropy without compromising nanoscale periodicity.
Jin Man Kim, Wonsik Kim, Wansun Kim, Yeon‐Hee Kim, Samjin Choi, Jang Hwan Kim, Hyeong Min Jin   +6 more
wiley   +1 more source

Predictive modeling of gene expression and localization of DNA binding site using deep convolutional neural networks. [PDF]

PLoS Comput Biol
Karshenas A, Röschinger T, Garcia HG.
europepmc   +1 more source