Results 211 to 220 of about 60,977 (298)

AML‐Net: Attention‐based multi‐scale lightweight model for brain tumour segmentation in internet of medical things

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract Brain tumour segmentation employing MRI images is important for disease diagnosis, monitoring, and treatment planning. Till now, many encoder‐decoder architectures have been developed for this purpose, with U‐Net being the most extensively utilised. However, these architectures require a lot of parameters to train and have a semantic gap. Some
Muhammad Zeeshan Aslam, Basit Raza, Muhammad Faheem, Aadil Raza   +3 more
wiley   +1 more source

MNBC: a multithreaded Minimizer-based Naïve Bayes Classifier for improved metagenomic sequence classification. [PDF]

Bioinformatics
Lu R, Dumonceaux T, Anzar M, Zovoilis A, Antonation K, Barker D, Corbett C, Nadon C, Robertson J, Eagle SHC, Lung O, Rudar J, Surujballi O, Laing C.   +13 more
europepmc   +1 more source

Towards applying internet of things and machine learning for the risk prediction of COVID-19 in pandemic situation using Naive Bayes classifier for improving accuracy. [PDF]

Mater Today Proc, 2022
Deepa N, Sathya Priya J, Devi T.
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

Naïve Bayes Classifiers and accompanying dataset for Pseudomonas syringae isolate characterization. [PDF]

Sci Data
Fautt C, Couradeau E, Hockett KL.
europepmc   +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

GAN-Augmented Naïve Bayes for identifying high-risk coronary artery disease patients using CT angiography data. [PDF]

Sci Rep
Zhang L, Haldorai A, Naik N.
europepmc   +1 more source

Classification of Broadband Oscillations Using Wavelet Convolution and Multi‐Channel Attention Network

Energy Internet, EarlyView.
ABSTRACT Accurate identification of broadband oscillation types is a prerequisite for implementing appropriate control strategies. The strongly nonlinear, nonstationary and multi‐modal characteristics of broadband oscillation signals impose higher demands on identification methods. Practical applications face challenges such as coupling effects between
Jinduo Yang, Ji Li, Yiyan Li, Yang Gao, Qingyuan Zhang, Yang Kou, Xiao Hu, WeiLe Liang   +7 more
wiley   +1 more source

Classification of short-term flood events using stochastic variable selection and Gaussian Naïve Bayes classifier: A case study of Sirajganj district, Bangladesh. [PDF]

Heliyon
Mondal C, Uddin MJ.
europepmc   +1 more source

Naïve Bayes is an interpretable and predictive machine learning algorithm in predicting osteoporotic hip fracture in-hospital mortality compared to other machine learning algorithms. [PDF]

PLOS Digit Health
Wang JD.
europepmc   +1 more source