Results 21 to 30 of about 536,964 (263)

A Temporal-Spectral Fused and Attention-Based Deep Model for Automatic Sleep Staging

IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2023
Sleep staging is a vital process for evaluating sleep quality and diagnosing sleep-related diseases. Most of the existing automatic sleep staging methods focus on time-domain information and often ignore the transformation relationship between sleep ...
Guidan Fu, Yueying Zhou, Peiliang Gong, Pengpai Wang, Wei Shao, Daoqiang Zhang   +5 more
doaj   +1 more source

Prediction of photovoltaic power output based on similar day analysis using RBF neural network with adaptive black widow optimization algorithm and K-means clustering

Frontiers in Energy Research, 2022
Solar photovoltaic power generation has become the focus of the world energy market. However, weak continuity and variability of solar power data severely increase grid operating pressure.
Hui Liu, Hui Liu, Yongquan Zhou, Yongquan Zhou, Yongquan Zhou, Qifang Luo, Qifang Luo, Huajuan Huang, Huajuan Huang, Xiuxi Wei, Xiuxi Wei   +10 more
doaj   +1 more source

Exploration in Sequential Recommender Systems via Graph Representations

IEEE Access, 2022
Temporal graph networks are powerful tools for solving the cold-start problem in sequential recommender systems. However, graph models are susceptible to feedback loops and data distribution shifts.
Dmitrii Kiselev, Ilya Makarov
doaj   +1 more source

Smart Healthcare in the Age of AI: Recent Advances, Challenges, and Future Prospects

IEEE Access, 2021
The significant increase in the number of individuals with chronic ailments (including the elderly and disabled) has dictated an urgent need for an innovative model for healthcare systems.
Mahmoud Nasr, Md. Milon Islam, Shady Shehata, Fakhri Karray, Yuri Quintana   +4 more
doaj   +1 more source

Research and application exploration of threat intelligence system of telecom operators

Dianxin kexue, 2022
With the increasing inequality of network attack and defense in the Internet era, threat intelligence has become one of the important tools to narrow this gap.Based on the analysis of the research status of threat intelligence at home and abroad, a set ...
Haitao ZHANG, Yi JIANG, Shijie ZHU, Qi CHEN   +3 more
doaj  

Krigsførelsens Kredsløb – en fornuftig hypotesegenerator: En bro fra organiseret intuition til videnskabelig analyse

Scandinavian Journal of Military Studies, 2020
After a long and – from an analytical and philosophical perspective – relatively dormant existence as an analytical tool taught and used by Danish officers since the early 1960s, the Capability Cycle (the literal translation from Danish, “the Cycle, of ...
Mikkel Storm Jensen
doaj   +1 more source

Uncertainty is not sufficient for identifying noisy labels in training data for binary segmentation of building footprints

Frontiers in Remote Sensing, 2023
Obtaining high quality labels is a major challenge for the application of deep neural networks in the remote sensing domain. A common way of acquiring labels is the usage of crowd sourcing which can provide much needed training data sets but also often ...
Hannah Ulman, Jonas Gütter, Julia Niebling   +2 more
doaj   +1 more source

A Spiking Neural Network With Adaptive Graph Convolution and LSTM for EEG-Based Brain-Computer Interfaces

IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2023
Electroencephalography (EEG) signals classification is essential for the brain-computer interface (BCI). Recently, energy-efficient spiking neural networks (SNNs) have shown great potential in EEG analysis due to their ability to capture the complex ...
Peiliang Gong, Pengpai Wang, Yueying Zhou, Daoqiang Zhang   +3 more
doaj   +1 more source

Boosting intelligence analysts’ judgment accuracy: What works, what fails?

Judgment and Decision Making, 2018
A routine part of intelligence analysis is judging the probability of alternative hypotheses given available evidence. Intelligence organizations advise analysts to use intelligence-tradecraft methods such as Analysis of Competing Hypotheses (ACH) to ...
David R. Mandel, Christopher W. Karvetski, Mandeep K. Dhami   +2 more
doaj   +1 more source

Ironic Medications: A Narrative‐Based Psycho‐Educational Intervention to Explore Patient–Provider Communication in Adolescents With Haematological Cancer

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Adolescents with haematological malignancies face significant emotional and relational challenges, often accompanied by difficulties in communicating their needs within the healthcare context. To address these issues, a narrative‐based psycho‐educational intervention based on the creation and prescription of Ironic Medications was ...
Marta Stoppa, Elena Pagani Bagliacca, Selena Russo, Giulia Rampoldi, Maria Grazia Strepparava, Adriana Cristina Balduzzi, Andrea Biondi, Marco Spinelli   +7 more
wiley   +1 more source