Results 61 to 70 of about 27,643 (149)

“MR Fingerprinting for Imaging Brain Hemodynamics and Oxygenation”

Journal of Magnetic Resonance Imaging, EarlyView.
ABSTRACT Over the past decade, several studies have explored the potential of magnetic resonance fingerprinting (MRF) for the quantification of brain hemodynamics, oxygenation, and perfusion. Recent advances in simulation models and reconstruction frameworks have also significantly enhanced the accuracy of vascular parameter estimation.
T. Coudert, A. Delphin, A. Barrier, E. L. Barbier, B. Lemasson, J. M. Warnking, T. Christen   +6 more
wiley   +1 more source

Does polymixis complicate prediction of high‐frequency dissolved oxygen in lakes and reservoirs?

Limnology and Oceanography, EarlyView.
Abstract As lake and reservoir ecosystems transition across major environmental regimes (e.g., mixing regime) resulting from anthropogenic change, setting predictive expectations is imperative. We tested the hypothesis that (dissolved) oxygen is more predictable in monomictic reservoirs that thermally stratify throughout the summer (warm) season ...
Caleb J. Robbins, Jeffrey M. Sadler, Dennis Trolle, Anders Nielsen, Nicole D. Wagner, J. Thad Scott   +5 more
wiley   +1 more source

A survey on deep reinforcement learning architectures, applications and emerging trends

IET Communications, EarlyView., 2022
Abstract From a future perspective and with the current advancements in technology, deep reinforcement learning (DRL) is set to play an important role in several areas like transportation, automation, finance, medical and in many more fields with less human interaction.
Surjeet Balhara, Nishu Gupta, Ahmed Alkhayyat, Isha Bharti, Rami Q. Malik, Sarmad Nozad Mahmood, Firas Abedi   +6 more
wiley   +1 more source

Decision‐Making in M&A Under Market Mispricing: The Role of Deep Learning Models

Managerial and Decision Economics, EarlyView.
ABSTRACT In the ever‐evolving landscape of financial markets, mergers and acquisitions (M&A) play a pivotal role in shaping the corporate ecosystem. However, the presence of market mispricing, driven by various factors such as information asymmetry, behavioral biases, and external shocks, has been a persistent challenge for investors and corporations ...
Yuxuan Tang
wiley   +1 more source

Kalman and Cauchy clustering for anomaly detection based authentication of IoMTs using extreme learning machine

IET Communications, EarlyView., 2022
Abstract The vulnerabilities of the Internet of Things (IoTs) in general and the Internet of Mobile Things (IoMTs) in particular motivate researchers to equip them with security systems against intruders and attacks. The integration of anomaly detection with intrusion detection for IoMTs has not been addressed adequately.
Tamara Saad Mohamed, Sezgin Aydin, Ahmed Alkhayyat, Rami Q. Malik   +3 more
wiley   +1 more source

Deep learning framework for interpretable quality control of echocardiography video

Medical Physics, EarlyView.
Abstract Background Echocardiography (echo) has become an indispensable tool in modern cardiology, offering real‐time imaging that helps clinicians evaluate heart function and identify abnormalities. Despite these advantages, the acquisition of high‐quality echo is time‐consuming, labor‐intensive, and highly subjective.
Liwei Du, Wufeng Xue, Zhanru Qi, Zhongqing Shi, Guanjun Guo, Xin Yang, Dong Ni, Jing Yao   +7 more
wiley   +1 more source

Prediction of chlorophyll‐a data based on triple‐stage attention recurrent neural network

IET Communications, EarlyView., 2022
This paper proposes the triple‐stage attention‐based recurrent neural network model for chlorophyll‐a prediction. The model builds not only on the chlorophyll‐a data itself but build on several related oceanographic observations related to the outbreak of the red tide, including depth, temperature, salinity, oxygen concentration, dissolved oxygen ...
Wenqing Chang, Xiang Li, Vikas Chaudhary, Huomin Dong, Zhigang Zhao, Tri Gia Nguyen   +5 more
wiley   +1 more source

Actor critic with experience replay‐based automatic treatment planning for prostate cancer intensity modulated radiotherapy

Medical Physics, EarlyView.
Abstract Background Achieving highly efficient treatment planning in intensity‐modulated radiotherapy (IMRT) is challenging due to the complex interactions between radiation beams and the human body. The introduction of artificial intelligence (AI) has automated treatment planning, significantly improving efficiency.
Md Mainul Abrar, Parvat Sapkota, Damon Sprouts, Xun Jia, Yujie Chi   +4 more
wiley   +1 more source

A neuro‐evolutionary approach for software defined wireless network traffic classification

IET Communications, EarlyView., 2022
This paper takes a Software‐Defined Wireless Network (SDWN) architecture for network traffic classification into account. The proposed system uses optimization methods and semi‐supervised machine learning to accurately classify traffic while minimizing communication overhead between the controller and the SDWN switches.
Buddhadeb Pradhan, Mir Wajahat Hussain, Gautam Srivastava, Mrinal K. Debbarma, Rabindra K. Barik, Jerry Chun‐Wei Lin   +5 more
wiley   +1 more source

Computational Method for Designing the Retaining Reinforcement Concrete Wall Under Hydrodynamic Load in Marine

International Journal of Mechanical System Dynamics, EarlyView.
ABSTRACT Health monitoring and damage detection for important and special infrastructures, especially marine structures, are one of the important challenges in structural engineering because they are subjected to corrosion and hydrodynamic loads. Simulation of marine structures under corrosion and hydraulic loads is complex; thus, a combination of ...
Arshia Shishegaran, Aydin Shishegaran
wiley   +1 more source