Results 41 to 50 of about 99,473 (265)

Matching model of flow table for networked big data

open access: yes, 2020
Networking for big data has to be intelligent because it will adjust data transmission requirements adaptively during data splitting and merging. Software-defined networking (SDN) provides a workable and practical paradigm for designing more efficient ...
AR Curtis   +4 more
core   +1 more source

Applicability of mitotic figure counting by deep learning: a development and pan‐cancer validation study

open access: yesFEBS Open Bio, EarlyView.
In this study, we developed a deep learning method for mitotic figure counting in H&E‐stained whole‐slide images and evaluated its prognostic impact in 13 external validation cohorts from seven different cancer types. Patients with more mitotic figures per mm2 had significantly worse patient outcome in all the studied cancer types except colorectal ...
Joakim Kalsnes   +32 more
wiley   +1 more source

Intelligent Urban Sensing for Gas Leakage Risk Assessment

open access: yesIEEE Access, 2023
In order to mitigate gas leakage damage, it is important to assess systematic risk of gas leakage in utility networks. In practice, leakage detection systems heavily rely on tedious and expensive human efforts, such as manually checking and assessing the
Tao Tao   +5 more
doaj   +1 more source

Deep Detection of People and their Mobility Aids for a Hospital Robot

open access: yes, 2017
Robots operating in populated environments encounter many different types of people, some of whom might have an advanced need for cautious interaction, because of physical impairments or their advanced age.
Burgard, Wolfram   +3 more
core   +1 more source

Digital twins to accelerate target identification and drug development for immune‐mediated disorders

open access: yesFEBS Open Bio, EarlyView.
Digital twins integrate patient‐derived molecular and clinical data into personalised computational models that simulate disease mechanisms. They enable rapid identification and validation of therapeutic targets, prediction of drug responses, and prioritisation of candidate interventions.
Anna Niarakis, Philippe Moingeon
wiley   +1 more source

Load forecasting of urban gas users in West-to-East Gas Pipeline System

open access: yesYou-qi chuyun, 2021
In order to realize the intelligent distribution function of natural gas distribution stations in the construction of intelligent pipeline networks, load forecasting should be carried out for users, especially the urban gas users who are greatly affected
Yan WU   +5 more
doaj   +1 more source

Development of a Prediction Model for Progression Risk in High‐Grade Gliomas Based on Habitat Radiomics and Pathomics

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To investigate the value of constructing models based on habitat radiomics and pathomics for predicting the risk of progression in high‐grade gliomas. Methods This study conducted a retrospective analysis of preoperative magnetic resonance (MR) images and pathological sections from 72 patients diagnosed with high‐grade gliomas (52 ...
Yuchen Zhu   +14 more
wiley   +1 more source

Approach of big data analysis and suggestions on development of natural gas pipeline network

open access: yesYou-qi chuyun, 2020
Due to the characteristics, such as massiveness, multi-source, diversity and great difference of value density, of the data of natural gas pipeline network, it is of great difficulty to do data analysis and application.
Huai SU, Jingjun ZHANG
doaj   +1 more source

Network Uncertainty Informed Semantic Feature Selection for Visual SLAM

open access: yes, 2019
In order to facilitate long-term localization using a visual simultaneous localization and mapping (SLAM) algorithm, careful feature selection can help ensure that reference points persist over long durations and the runtime and storage complexity of the
Ganti, Pranav, Waslander, Steven L.
core   +1 more source

Multidimensional Profiling of MRI‐Negative Temporal Lobe Epilepsy Uncovers Distinct Phenotypes

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Although hippocampal sclerosis (TLE‐HS) represents the most frequent cause of temporal lobe epilepsy (TLE), up to 30% of patients show no lesion on visual MRI inspection (TLE‐MRIneg). These cases pose diagnostic and therapeutic challenges and are underrepresented in surgical series.
Alice Ballerini   +28 more
wiley   +1 more source

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