Results 91 to 100 of about 49,524 (290)

Brain benefits of deep learning-based noise management in experienced hearing aid users using functional near infrared spectroscopy

Scientific Reports
There is growing interest in using neuroimaging to understanding listening effort in individuals with hearing loss, with a particular focus on how innovative hearing aid features impact listening effort.
Jonathan M. Vaisberg, Carmen Dang, Yan Jiang, Jinyu Qian, Frank A. Russo   +4 more
doaj   +1 more source

Loss Aversion Correlates With the Propensity to Deploy Model-Based Control

Frontiers in Neuroscience, 2019
Reward-based decision making is thought to be driven by at least two different types of decision systems: a simple stimulus–response cache-based system which embodies the common-sense notion of “habit,” for which model-free reinforcement learning serves ...
Alec Solway, Terry Lohrenz, P. Read Montague, P. Read Montague, P. Read Montague   +4 more
doaj   +1 more source

Revising Fascial Anatomy With a Focus on the Fusion Fascia in Mesenteric Gastrointestinal Cancer Surgery

Annals of Gastroenterological Surgery, EarlyView.
This review critically reassesses our prior hypothesis and proposes a revised anatomical model of the fusion fascia that is broadly applicable to GI cancer surgeries grounded in the principles of mesenteric resection. Our synthesis suggests that the fusion fascia is neither a dense connective tissue membrane nor a remnant of mesothelial fusion, but ...
Hisashi Shinohara, Yasunori Kurahashi, Jun Watanabe, Yuichi Nagakawa, Tatsuro Nakamura, Eiichiro Nakao, Yudai Hojo, Shugo Kohno, Motoki Murakami, Yoshinori Ishida   +9 more
wiley   +1 more source

A cyber–physical system prospect theoretic game through a VANET lens

IET Wireless Sensor Systems
In this paper, the problem of attack mitigation in an intelligent transportation network or vehicular network is considered as a game. The player’s perception of uncertainty and decision making is studied under a subjective prospect theoretic (PT) model ...
Ahmed A. Alabdel Abass
doaj   +1 more source

The subjective discount factor and the coefficient of relative risk aversion under time-additive isoelastic expected utility model [PDF]

, 2016
Andrzej Mazur
openalex   +2 more sources

Accelerating Primary Screening of USP8 Inhibitors from Drug Repurposing Databases with Tree‐Based Machine Learning

Advanced Intelligent Discovery, EarlyView.
This study introduces a tree‐based machine learning approach to accelerate USP8 inhibitor discovery. The best‐performing model identified 100 high‐confidence repurposable compounds, half already approved or in clinical trials, and uncovered novel scaffolds not previously studied. These findings offer a solid foundation for rapid experimental follow‐up,
Yik Kwong Ng, Sharon Ai Er Lam, Wei Chun Lim, Hannah Hui Min Toh, Shi Jun Ang   +4 more
wiley   +1 more source

Autonomous Recognition of Retained Secretions in Central‐Airway Based on Deep Learning for Adult Patients Receiving Invasive Mechanical Ventilation

Advanced Intelligent Systems, EarlyView.
This work presents a deep learning model to autonomously recognize and classify the secretion retention into three levels for patients receiving invasive mechanical ventilation, achieving 89.08% accuracy. This model can be implemented to ventilators by edge computing, whose feasibility is approved.
Shuai Wang, Zhuoran Xiao, Meng Wang, Jianchao Li, Chunjing Tao, Jiangzhen Guo, Yubo Fan   +6 more
wiley   +1 more source

Loss‐Based Ensemble Generative Adversarial Network Model for Enhancing the Sperm Morphology Classification

Advanced Intelligent Systems, EarlyView.
A loss‐based ensemble generative adversarial network (GAN) framework is proposed to address mode collapse in sperm morphology classification. By integrating spatial augmentation and multiple GAN models, the study enhances synthetic data quality. The Shifted Window Transformer achieves 95.37% accuracy on the HuSHeM dataset, outperforming previous ...
Berke Cansiz, Hamza Osman Ilhan, Gorkem Serbes   +2 more
wiley   +1 more source

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

Robust Dysarthric Speech Recognition with GAN Enhancement and LLM Correction

Advanced Intelligent Systems, EarlyView.
This study tackles dysarthric speech recognition by combining generative adversarial network (GAN)‐generated synthetic data with large language model (LLM)‐based error correction. The approach integrates three key elements: an improved CycleGAN to generate synthetic dysarthric speech for data augmentation, a multimodal automatic speech recognition core
Yibo He, Kah Phooi Seng, Chee Shen Lim, Li Minn Ang   +3 more
wiley   +1 more source