Results 191 to 200 of about 7,686 (261)

Protocol for AI-powered classification of IDH-mutant astrocytoma using GUIDE. [PDF]

STAR Protoc
Tang J, Qiao Y, Ruan Y, Wang J.
europepmc   +1 more source

Review on enhancing clinical decision support system using machine learning

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract Clinical decision‐making is a complex patient‐centred process. For an informed clinical decision, the input data is very thorough ranging from detailed family history, environmental history, social history, health‐risk assessments, and prior relevant medical cases.
Anum Masood, Usman Naseem, Junaid Rashid, Jungeun Kim, Imran Razzak   +4 more
wiley   +1 more source

Enabling pandemic‐resilient healthcare: Narrowband Internet of Things and edge intelligence for real‐time monitoring

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract The Internet of Things (IoT) in deploying robotic sprayers for pandemic‐associated disinfection and monitoring has garnered significant attention in recent research. The authors introduce a novel architectural framework designed to interconnect smart monitoring robotic devices within healthcare facilities using narrowband Internet of Things ...
Md Motaharul Islam, Mohammad Kamrul Hasan, Shayla Islam, Mohammed Balfaqih, Ahmed Ibrahim Alzahrani, Nasser Alalwan, Nurhizam Safie, Zaheed Ahmed Bhuiyan, Rahul Thakkar, Taher M. Ghazal   +9 more
wiley   +1 more source

Lightweight Federated Learning Approach for Resource-Constrained Internet of Things. [PDF]

Sensors (Basel)
Baqer M.
europepmc   +1 more source

RES‐AD: An AutoML‐Driven Robust Ensemble Framework for Real‐Time Anomaly Detection and Energy Forecasting in Smart Grids

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Accurate load forecasting and reliable anomaly detection are critical for the stable operation of modern smart grids (SGs), which increasingly rely on cyber‐connected infrastructures. However, the integration of smart metres and two‐way communication exposes SGs to data integrity attacks that can manipulate consumption measurements, degrade ...
Murad Ali Khan, Naeem Iqbal, Syed Shehryar Ali Naqvi, Muhammad Faseeh, Do‐Hyeun Kim   +4 more
wiley   +1 more source

Integrating real-time polling into modified Delphi methodology: lessons from a consensus study on cardiac implantable electronic device remote monitoring. [PDF]

BMC Med Res Methodol
O'Hagan E, Sheahen B, Cho K, Turnbull S, Wong KC, Rock Z, Chow CK.   +6 more
europepmc   +1 more source

Targeted digital voter suppression efforts likely decrease voter turnout. [PDF]

Proc Natl Acad Sci U S A
Kim YM, Dahlke R, Song H, Heinrich R.
europepmc   +1 more source

Using Machine Learning Methods to Predict Early Treatment Outcomes for Multidrug-Resistant or Rifampicin-Resistant Tuberculosis to Enhance Patient Cure Rates: Development and Validation of Multiple Models. [PDF]

J Med Internet Res
Zhang F, Yang Z, Geng X, Dong Y, Li S, Yao C, Shang Y, Ren W, Liu R, Kuang H, Li L, Pang Y.   +11 more
europepmc   +1 more source

Link Prediction in Heterogeneous Information Networks: Improved Hypergraph Convolution with Adaptive Soft Voting. [PDF]

Entropy (Basel)
Zhang S, Huang Y, Luo Z, Zhou J, Wu B, Sun K, Mao H.   +6 more
europepmc   +1 more source

Unlocking citizen participation: Network characteristics, sense of power, and place attachment as key factors in regional settings

Australian Journal of Public Administration, EarlyView.
Abstract This article analyses key factors related to citizen participation in place governance processes. We study how network characteristics (ties and trust), sense of power (ability to influence outcomes), and affective characteristics such as bond with place (place attachment) relate to resource‐intensive and resource‐extensive citizen ...
Laura Ripoll González, Erik Hans Klijn, Jasper Eshuis, Maria Belén Yanotti   +3 more
wiley   +1 more source