Results 171 to 180 of about 43,821 (259)

Early feature extraction drives model performance in high-resolution chromatin accessibility prediction. [PDF]

Genome Res
Grover A, Muser T, Kasak L, Zhang L, Krymova E, Boeva V.   +5 more
europepmc   +1 more source

Dual‐Scale Transformer Fusion With Meta Learning for Micro Metastasis Detection in Thyroid Cancer

Advanced Intelligent Systems, EarlyView.
A dual‐scale transformer model enhanced by meta‐learning enables accurate detection of tiny metastatic lesions in thyroid cancer. By combining cellular and tissue‐level features, the method outperforms existing models and shows strong adaptability to rare cases with limited data.
Jingtao Wang, Junhai Shi, Hengli Ni, Limei Zhao, Jing Huang, Jianming Li   +5 more
wiley   +1 more source

Activation‐Integrated and Memory‐Assisted Dynamic‐Latch Quantizer for Variation‐Tolerant and Low‐Energy Neuromorphic Computing

Advanced Intelligent Systems, EarlyView.
A memory‐assisted dynamic‐latch ADC integrating charge‐trap flash enables ultra‐low‐energy quantization and in‐ADC nonlinear activation for variation‐tolerant neuromorphic computing. Analog‐to‐digital converters (ADCs) remain the dominant area/energy bottleneck in neuromorphic computing (NC) systems.
Jonghyun Ko, Jiseong Im, Ryun‐Han Koo, Sung‐Ho Park, Jong‐Ho Lee   +4 more
wiley   +1 more source

Spatio-temporal Attention driven Rainfall Inference using Transformative Architecture (SARITA). [PDF]

Sci Rep
Sharma I, Azad S, Suri A, Omar AH.
europepmc   +1 more source

AI‐Assisted IoT‐Enabled ECG Monitoring: Integrating Foundational and Generative AI Tools for Sustainable Smart Healthcare—Recent Trends

AI &Innovation, EarlyView.
ABSTRACT The rapid evolution of the Internet of Things (IoT) has significantly advanced the field of electrocardiogram (ECG) monitoring, enabling real‐time, remote, and patient‐centric cardiac care. This paper presents a comprehensive survey of AI assisted IoT‐based ECG monitoring systems, focusing on the integration of emerging technologies such as ...
Amrita Choudhury, Kandarpa Kumar Sarma, Lachit Dutta   +2 more
wiley   +1 more source

Parameter-efficient convolutional neural network for drug treatment outcome studies of pediatric epilepsy. [PDF]

Sci Rep
Zhao C, Liao Z, Jiang D, Zhao X, Yuan B, Lin R, Tang J, Gong B, Liao J, Lin L, Hu Z.   +10 more
europepmc   +1 more source

Integrated photonic 3D tensor processing engine. [PDF]

Light Sci Appl
Wu Y, Ni Z, Li X, Wang Y, Lu L, Chen J, Zhou L.   +6 more
europepmc   +1 more source

Hierarchical Complementary Enhanced Autoencoder Integrating Spatio‐Temporal Interaction Feature for Soft Sensor

Asia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT To address the issues of neglecting the spatiotemporal correlations among process variables, low‐level features are vulnerable to noise interference, and the gradual loss of key information layer by layer during deep network training in traditional stacked autoencoder‐based soft‐sensor models, this paper proposes a hierarchical complementary ...
Xiaoping Guo, Jinghong Guo, Yuan Li
wiley   +1 more source

Genomic Characterization of Lung Cancer in Never-Smokers Using Deep Learning. [PDF]

Mod Pathol
Saha M, Tran TV, Bhawsar PM, Zhang T, Zhao W, Hoang PH, Mutreja K, Lawrence SM, Rothman N, Lan Q, Homer R, Baine MK, Sholl LM, Joubert P, Leduc C, Travis WD, Chanock SJ, Shi J, Yang SR, Almeida JS, Landi MT.   +20 more
europepmc   +1 more source

Software‐Defined Terahertz Beam Manipulation via Active Light‐Controlled Frequency Coding Information Metasurface

Advanced Physics Research, EarlyView.
This paper proposes an integrated active light‐controlled frequency coding metasurface and a software‐defined array control system. Utilizing spatially encoded structured light and a “Decision‐Optimization‐Execution” intelligent closed‐loop architecture, the system overcomes traditional electrical control interference, achieves real‐time dynamic ...
Chao Zhao, Min Jia, Rong Lu, Yifan Ma, Gaole Fan, Qing Guo, Yanhong Tian, Siyuan Yu   +7 more
wiley   +1 more source