Results 181 to 190 of about 30,189 (295)

ECG‐TransCovNet: A hybrid transformer model for accurate arrhythmia detection using Electrocardiogram signals

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract Abnormalities in the heart's rhythm, known as arrhythmias, pose a significant threat to global health, often leading to severe cardiac conditions and sudden cardiac deaths. Therefore, early and accurate detection of arrhythmias is crucial for timely intervention and potentially life‐saving treatment.
Hasnain Ali Shah, Faisal Saeed, Muhammad Diyan, Nouf Abdullah Almujally, Jae‐Mo Kang   +4 more
wiley   +1 more source

Robust steganographic framework for securing sensitive healthcare data of telemedicine using convolutional neural network

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract Data is the key element that runs the modern society. Large amounts of data are being released day by day as a result of many activities. The digital data is transferred through the Internet which may be vulnerable to attacks while transmitting. Especially, the medical data is observed to be of at most importance.
Rupa Ch, Venkayya Yadlapalli, Suhana Sulthana Sk, G. Thippa Reddy, Sandeep Kautish   +4 more
wiley   +1 more source

Missing data imputation in hourly CO measurements for air quality monitoring: a case study in the city of Salvador, Brazil. [PDF]

Environ Monit Assess
de Assis TCB, Fontes CH, Albuquerque ÉL.   +2 more
europepmc   +1 more source

Short‐Term Multi‐Horizon Line Loss Rate Forecasting of a Distribution Network Using Attention‐GCN‐LSTM

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Accurately predicting line loss rates is crucial for effective management in distribution networks, particularly for short‐term multihorizon forecasts ranging from 1 hour to 1 week. In this study, we propose attention‐GCN–LSTM, a novel method that integrates graph convolutional networks (GCN), long short‐term memory (LSTM) and a three‐level ...
Jie Liu, Yijia Cao, Yong Li, Yixiu Guo, Wei Deng   +4 more
wiley   +1 more source

A Review of Deep Learning Methods for Irregularly Sampled Medical Time Series Data. [PDF]

Health Data Sci
Sun C, Song M, Cai D, Zhang B, Li H, Hong S.   +5 more
europepmc   +1 more source

Peramalan Penjualan Semen Menggunakan Backpropagation Neural Network Dan Recurrent Neural Network

, 2019
Backpropagation Neural Netwrok (BPNN) adalah Neural Network (NN) yang tidak memiliki loop, sedangkan Recurrent Neural Network (RNN) adalah NN yang memiliki minimal satu feedback loop.
Sugiman, -, Aisyah Fany Achmalia, -, Walid, Mipa Matematika   +2 more
core  

Convergent Interval Confirmation for Three‐Step Discrete Specific Zeroing Neural Dynamics Illustrated With Repetitive Motion Planning of Redundant Manipulators

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Repetitive motion planning (RMP) for redundant manipulators with high convergent precision becomes an intense research topic due to its more degrees of freedom. In this paper, a specific zeroing neural dynamics (SZND) model for the RMP is first set up via zeroing neurodynamics.
Ying Kong, Shaoyuan Sun, Yunliang Jiang, Lin Wei   +3 more
wiley   +1 more source

Computational mechanisms for temporal integration in the anterior claustrum. [PDF]

Elife
Sohn K, Yoon D, Lee J, Choi S.
europepmc   +1 more source

Measuring Public Sentiment on Corporate Sustainability Through Big Data and Social Media Analytics

Business Ethics, the Environment &Responsibility, EarlyView.
ABSTRACT Currently, corporate sustainability is primarily assessed through companies' own sustainability reports and evaluations conducted by NGOs and rating agencies. These approaches present several limitations, including potential reporting bias and limited transparency in evaluation methodologies. In response, this paper proposes CSR‐IRIS‐v2, a big
Adriana M. Barbeito‐Caamaño, Ricardo Chalmeta   +1 more
wiley   +1 more source

Independence and coherence in temporal sequence computation across the fronto-parietal network. [PDF]

Nat Commun
Imamura H, Imamura F, Hira R, Isomura Y, Hira R.   +4 more
europepmc   +1 more source