Results 191 to 200 of about 222,622 (291)

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

open access: yesIET 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   +6 more
wiley   +1 more source

Proteomic Profiling Informs Mechanisms of Esophageal Adenocarcinoma Inhibition by Cranberry Proanthocyanidins

open access: yesMolecular Nutrition &Food Research, EarlyView.
In this study we utilized proteomic profiling to investigate mechanisms linked to the cancer‐inhibitory effect of cranberry proanthocyanidins (CPACs) on reflux‐induced esophageal adenocarcinoma in a rat model. The results indicate that CPAC inhibits cancer through targeting multiple hallmarks of cancer known to be dysregulated in progression to ...
Yun Zhang   +7 more
wiley   +1 more source

A multi‐agent K‐means with case‐based reasoning for an automated quality assessment of software requirement specification

open access: yesIET Communications, EarlyView., 2022
This paper proposed an Automated Quality Assessment of SRS (AQA‐SRS) framework by integrating four popular methods which are; NLP, K‐means, MAS, and CBR to assess the quality of SRS documents. The NLP utilize for feature extraction, K‐means for features clustering, MAS for interactive assessment and feature selection decision, and CBR for managing the ...
Mohammed Ahmed Jubair   +6 more
wiley   +1 more source

A graphical user interface for Monte Carlo dose calculations for brachytherapy with egs_brachy

open access: yesMedical Physics, EarlyView.
Abstract Background Recent advancements in brachytherapy necessitate precise dose calculations, transitioning from the traditional TG43 planning methods to the more sophisticated TG186 recommendations. However, the availability of accessible and efficient Monte Carlo (MC) codes capable of interfacing with clinical data for these advanced calculations ...
Narjes Moghadam   +7 more
wiley   +1 more source

Resolution independent person re‐identification network

open access: yesIET Computer Vision, EarlyView., 2022
Abstract Does a query image with much higher resolution than that of the gallery image also affect the pedestrian re‐identification performance? If so, and how does it affect performance? The study proposes a novel framework for performing high‐resolution image reconstruction and pedestrian re‐identification tasks, independent of the query image ...
Li Zhang   +3 more
wiley   +1 more source

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