Results 51 to 60 of about 783 (170)
Health Science Reports, Volume 9, Issue 7, July 2026.ABSTRACT Background and Aims Alzheimer's disease (AD) is a progressive neurodegenerative disorder characterized by cognitive decline, behavioral disturbances, and loss of functional independence. As the global prevalence of AD continues to rise, traditional episodic care models are increasingly inadequate for providing continuous and individualized ...
Aynaz Esmailzadeh +4 more
wiley +1 more source
Location Accuracy of Commercial IP Address Geolocation Databases
Information Technology and Control, 2017 This paper deals with finding the geographical location of Internet nodes remotely with no need to communicate with the nodes located (client-independently). IP geolocation is used in a number of areas, such as content personalisation, on-line fraud prevention and detection, and digital media law enforcement. One of the main concerns when studying the
Dan Komosny +2 more
openaire +4 more sources
Machine Learning‐Based Swath Bias Correction for OCO‐3 Snapshot Area Mapping Mode Observations
Earth and Space Science, Volume 13, Issue 7, July 2026.Abstract Space‐based monitoring of urban carbon dioxide (CO2) emissions is essential for climate policy, but systematic measurement biases can compromise emission quantification accuracy. NASA's Orbiting Carbon Observatory‐3 (OCO‐3) provides unique Snapshot Area Mapping (SAM) mode observations that can capture city‐scale CO2 plumes in single overpasses,
Steffen Mauceri +7 more
wiley +1 more source
Evaluation of Device-Independent Internet Spatial Location
ISPRS International Journal of Geo-Information, 2017 Device-independent Internet spatial location is needed for many purposes, such as data personalisation and social behaviour analysis. Internet spatial databases provide such locations based the IP address of a device.
Dan Komosny +3 more
doaj +1 more source
Water Resources Research, Volume 62, Issue 7, July 2026.Abstract Accurate three‐dimensional (3D) lake bathymetry reconstruction is critical for water resources assessment and hydrological modeling yet remains constrained by data scarcity and oversimplified geometric assumptions. To address these challenges, we propose the Geomorphologically informed deep learning (GIDL) framework for high‐resolution 3D lake
Minglei Hou +7 more
wiley +1 more source
Determination of Interrupt-Coalescence Latency of Remote Hosts Through Active Measurement
IEEE Access, 2018 Recently, hosts connected to the Internet through network interface cards (NICs) are equipped with a hardware artifact called interrupt coalescence (IC).
Khondaker Salehin +2 more
doaj +1 more source
Canadian Journal of Administrative Sciences / Revue Canadienne des Sciences de l'Administration, Volume 43, Issue 2, June 2026.ABSTRACT Digital contact tracing (DCT) has emerged as a promising tool for controlling infectious disease outbreaks, yet its adoption has been hampered by widespread privacy concerns. Prior research studies mainly rely on privacy calculus theory. We extend this view by integrating agency theory to explain how delegating sensitive data to government ...
Félix Joly +2 more
wiley +1 more source
The Curriculum Journal, Volume 37, Issue 2, Page 422-442, June 2026.Abstract Transnational guidelines on skills and competencies for lifelong learning, along with curriculum reforms to promote curriculum flexibility and autonomy in schools, are pressing teachers to be engaged in curriculum and pedagogical innovation focused on student‐centred approaches favourable to developing learner autonomy.
Thiago Freires +3 more
wiley +1 more source
Monitoring of historical structural materials with computed tomography
Structural Concrete, Volume 27, Issue 3, Page 2882-2894, June 2026.Abstract Computed tomography (CT) is an excellent tool to solve certain engineering problems connected to material science (such as sulfate swelling, internal degradation due to freezing, and alkali silicate swelling) and to understand specific processes (frost peeling, acid action).
Kristóf Csorba +5 more
wiley +1 more source
A Novel Deep Learning Approach for Online Payment Fraud Detection [PDF]
EPJ Web of ConferencesWith rapid growth of digital transaction online payment systems have become increasingly vulnerable to fraudulent activities. This paper present novel deep learning based framework for detecting online payment fraud using hybrid architecture that ...
More Reena, Dashore Pankaj
doaj +1 more source