Results 131 to 140 of about 30,985 (264)

Deep learning‐based prediction of cervical lymph node metastasis and genetic alterations from whole‐slide images of thyroid cancer frozen sections

Interdisciplinary Medicine, EarlyView.
Deep learning models accurately predict cervical lymph node metastasis and key genetic mutations (BRAF/TERT) directly from thyroid cancer frozen sections. This AI‐driven pipeline provides a rapid real‐time tool to guide intraoperative surgical decisions, helping to optimize surgical extent and prevent both over‐ and under‐treatment without the need for
Mingxing Qiu, Jinbang Li, Shujing Guo, Danyi Li, Chengyu Lu, Chenglong Zhao, Jiankun He, Hanxi Wang, Qiao Bai, Aihetaimu Aimaier, Zhijian Cen, Rui Mao, Zimo Ye, Jiaxue Zang, Zhining Zhuo, Lijuan Qu, Yueping Liu, Jing Cui, Xiaohong Yao, Xiuwu Bian, Li Liang   +20 more
wiley   +1 more source

A caveat regarding the unfolding argument: implications of plasticity. [PDF]

Neurosci Conscious
O'Reilly-Shah VN, Selvitella AM, Schurger A.   +2 more
europepmc   +1 more source

Residual Neural Network Compensation of Temperature‐Induced Gamma Shift in OLED Display

Journal of the Society for Information Display, EarlyView.
The figure summarizes the proposed white‐only sensing framework and highlights its key advantages in improving color accuracy and reducing calibration time ABSTRACT Organic light‐emitting diode (OLED) displays exhibit temperature‐induced chromatic shifts and luminance‐dependent nonlinear responses, causing CIEDE2000 color difference (ΔE) and local ...
Ching‐Hsiang Hsu, Mang Ou‐Yang
wiley   +1 more source

Independence and coherence in temporal sequence computation across the fronto-parietal network. [PDF]

Nat Commun
Imamura H, Imamura F, Hira R, Isomura Y, Hira R.   +4 more
europepmc   +1 more source

Application of Principal Component Analysis and Probabilistic Neural Networks in Ferralsols Recovery Evaluation Through Planting of Mabea Fistulifera and Eucalyptus Urograndis

Land Degradation &Development, EarlyView.
ABSTRACT This study presents an innovative assessment model for analyzing the evolution of degraded soils subjected to different reclamation strategies. The proposal combines statistical and artificial intelligence tools to jointly integrate multiple physical and chemical soil properties, allowing for a more synthetic view of the processes.
Melissa Alexandre Santos, Borja Velázquez‐Martí, Jorge João Delfim, Laura Silva Nantes, Jose Augusto Liberato de Souza, Gabriel Augusto da Silva Lunardelli, Dayara Vivian Alvares, Carolina dos Santos Batista Bonini   +7 more
wiley   +1 more source

Stochastic Grey Wolf Optimization for Hyperparameter Tuning of LSTM and RNN Models in Energy Forecasting. [PDF]

Sci Rep
Albser OA, Mouhamed MR, Shatta SA, Sweilem NH, Darwish A.   +4 more
europepmc   +1 more source

AI/ML Enabled High‐Throughput Design and Synthesis for Energetic Molecules

Materials Genome Engineering Advances, EarlyView.
Novel design methods for a special kind of functional molecules — the energetic molecules—are summarized. Both classic Machine Learning (ML) and Artificial Intelligence (AI) generative models are utilized for the high‐throughput design of these energetic molecules, and a sort of high‐energy low‐sensitivity molecules are obtained.
Wen Qian
wiley   +1 more source

Robust and Lightweight Federated Learning for NB-IoT Security: A Blockchain-Verified CNN-RNN Approach. [PDF]

Sensors (Basel)
Özmen G, Yiltas-Kaplan D.
europepmc   +1 more source

A Review of Advances in Composite Materials, Structural Optimization, and Machine Learning for Wind Turbine Blades: Challenges and Future Perspectives

Polymer Composites, EarlyView.
Overview of the holistic engineering lifecycle and core research pillars for wind turbine blades. ABSTRACT This paper reviews recent advancements across the lifecycle of wind turbine blades, focusing on three interconnected areas: advanced composites, structural optimization, and machine learning (ML) diagnostics. In materials, we highlight progress in
Kemal Hasirci, Denizhan Yavas, Alaeddin Burak Irez   +2 more
wiley   +1 more source

RNN-based detection of IoT malware using diverse feature engineering methods. [PDF]

Sci Rep
Abd-Ellah MK, Alsayed NA, Elkomy OM, El-Hady WM.   +3 more
europepmc   +1 more source