Results 11 to 20 of about 5,413,035 (337)

Device-Centric Monitoring for Mobile Device Management [PDF]

open access: yesElectronic Proceedings in Theoretical Computer Science, 2016
The ubiquity of computing devices has led to an increased need to ensure not only that the applications deployed on them are correct with respect to their specifications, but also that the devices are used in an appropriate manner, especially in ...
Luke Chircop   +2 more
doaj   +5 more sources

Modelling on mobile devices [PDF]

open access: yesSoftware and Systems Modeling, 2021
Modelling is central to many disciplines in engineering and the natural and social sciences. A wide variety of modelling languages and tools have been proposed along the years, traditionally for static environments such as desktops and laptops. However, the availability of increasingly powerful mobile devices makes it possible to profit from their ...
Brunschwig, Léa   +2 more
openaire   +3 more sources

Walking Recognition in Mobile Devices [PDF]

open access: yesSensors, 2020
Presently, smartphones are used more and more for purposes that have nothing to do with phone calls or simple data transfers. One example is the recognition of human activity, which is relevant information for many applications in the domains of medical diagnosis, elderly assistance, indoor localization, and navigation.
Fernando E. Casado   +5 more
openaire   +6 more sources

Resource Management and Scheduling for Satellite Internet

open access: yes中国工程科学, 2023
Supporting seamless global coverage, satellite Internet is an important expansion and extension of terrestrial communication systems, plays a key role in the space–air–ground integrated network, and acts as an important information infrastructure for ...
Wang Longhe   +6 more
doaj   +1 more source

Benign and malignant diagnosis of spinal tumors based on deep learning and weighted fusion framework on MRI

open access: yesInsights into Imaging, 2022
Background The application of deep learning has allowed significant progress in medical imaging. However, few studies have focused on the diagnosis of benign and malignant spinal tumors using medical imaging and age information at the patient level. This
Hong Liu   +11 more
doaj   +1 more source

Breast Cancer Molecular Subtype Prediction on Pathological Images with Discriminative Patch Selection and Multi-Instance Learning

open access: yesFrontiers in Oncology, 2022
Molecular subtypes of breast cancer are important references to personalized clinical treatment. For cost and labor savings, only one of the patient’s paraffin blocks is usually selected for subsequent immunohistochemistry (IHC) to obtain molecular ...
Hong Liu   +16 more
doaj   +1 more source

Statistical Multiplexing Gain Analysis of Processing Resources in Centralized Radio Access Networks

open access: yesIEEE Access, 2019
The next generation of wireless networks faces the challenges of the explosion of mobile data traffic, the associated power consumption, and operation cost.
Zongshuai Zhang   +7 more
doaj   +1 more source

Possessing Mobile Devices [PDF]

open access: yesIEEE Security & Privacy, 2015
{"references": ["[1] R. Anderson. Security engineering. 2nd ed. John Wiley & Sons, 2008.\n[2] P. Bright. Google won't \ufffdx bug hitting 60 percent of Android phones. 13th Jan. 2015.\nurl: tinyurl.com/o2d5hho.\n[3] M. D. Cavelty. \\Breaking the cyber-security dilemma: Aligning security needs and\nremoving vulnerabilities\".
openaire   +2 more sources

Students and mobile devices [PDF]

open access: yesResearch in Learning Technology, 2010
Many educators advocate, promote and encourage the dreams of agency, control, ownership and choice amongst students whilst educational institutions take the responsibility for provision, equity, access, participation and standards. The institutions traditionally procure, provide and control the technology for learning but now students are acquiring ...
openaire   +5 more sources

BgNet: Classification of benign and malignant tumors with MRI multi-plane attention learning

open access: yesFrontiers in Oncology, 2022
ObjectivesTo propose a deep learning-based classification framework, which can carry out patient-level benign and malignant tumors classification according to the patient’s multi-plane images and clinical information.MethodsA total of 430 cases of spinal
Hong Liu   +17 more
doaj   +1 more source

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