Results 91 to 100 of about 510,572 (297)

Enhanced visibility graph for EEG classification

Frontiers in Neuroscience
Electroencephalography (EEG) holds immense potential for decoding complex brain patterns associated with cognitive states and neurological conditions. In this paper, we propose an end-to-end framework for EEG classification that integrates power spectral
Asma Belhadi, Pedro G. Lind, Pedro G. Lind, Pedro G. Lind, Youcef Djenouri, Youcef Djenouri, Anis Yazidi, Anis Yazidi   +7 more
doaj   +1 more source

Video anomaly detection using deep incremental slow feature analysis network

IET Computer Vision, 2016
Existing anomaly detection (AD) approaches rely on various hand‐crafted representations to represent video data and can be costly. The choice or designing of hand‐crafted representation can be difficult when faced with a new dataset without prior ...
Xing Hu, Shiqiang Hu, Yingping Huang, Huanlong Zhang, Hanbing Wu   +4 more
doaj   +1 more source

Deep Feature Learning for Disease Risk Assessment Based on Convolutional Neural Network With Intra-Layer Recurrent Connection by Using Hospital Big Data

IEEE Access, 2018
This paper presents the analysis of real-life medical big data obtained from a hospital in central China from 2013 to 2015 for risk assessment of cerebral infarction disease.
Mohd Usama, Belal Ahmad, Jiafu Wan, M. Shamim Hossain, Mohammed F. Alhamid, M. Anwar Hossain   +5 more
doaj   +1 more source

Navigating new norms: a systematic review of factors for the development of effective digital tools in higher education

FEBS Open Bio, EarlyView.
What factors make for an effective digital learning tool in Higher Education? This systematic review identifies elements of a digital tool that published examples reveal to be features of an engaging and impactful digital tool. A systematic literature search yielded 25 research papers for analysis.
Akmal Arzeman, Jessica Haines, Connie Pritchard, Stephen Rutherford, Nigel Francis   +4 more
wiley   +1 more source

A Novel Transformer-Based Multiscale Siamese Framework for High-Resolution Remote Sensing Change Detection

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Change detection (CD) in remote sensing based on deep convolutional neural networks and transformers has played a crucial role in surface monitoring and resource development. However, the inadequate extraction of local and global features, along with the
Liangjun Wang, Weitao Chen, Haoyi Wang, Zhengchao Chen   +3 more
doaj   +1 more source

Enzymatic degradation of biopolymers in amorphous and molten states: mechanisms and applications

FEBS Open Bio, EarlyView.
This review explains how polymer morphology and thermal state shape enzymatic degradation pathways, comparing amorphous and molten biopolymer structures. By integrating structure–reactivity principles with insights from thermodynamics and enzyme engineering, it highlights mechanisms that enable efficient polymer breakdown.
Anđela Pustak, Aleksandra Maršavelski
wiley   +1 more source

Feature learning and generalization in deep networks with orthogonal weights

Machine Learning: Science and Technology
Fully-connected deep neural networks with weights initialized from independent Gaussian distributions can be tuned to criticality, which prevents the exponential growth or decay of signals propagating through the network.
Hannah Day, Yonatan Kahn, Daniel A Roberts   +2 more
doaj   +1 more source

A Multi-Input Channel U-Net Landslide Detection Method Fusing SAR Multisource Remote Sensing Data

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Accurate and efficient landslide identification is an important basis for landslide disaster prevention and control. Due to the diversity of landslide features, vegetation occlusion, and the complexity of the surrounding surface environment in remote ...
Hesheng Chen, Yi He, Lifeng Zhang, Wang Yang, Yaoxiang Liu, Binghai Gao, Qing Zhang, Jiangang Lu   +7 more
doaj   +1 more source

A Comprehensive Evaluation of Approaches for Built-Up Area Extraction from Landsat OLI Images Using Massive Samples

Remote Sensing, 2018
Detailed information about built-up areas is valuable for mapping complex urban environments. Although a large number of classification algorithms for such areas have been developed, they are rarely tested from the perspective of feature engineering and ...
Tao Zhang, Hong Tang
doaj   +1 more source

Can Feature Engineering Help Quantum Machine Learning for Malware Detection? [PDF]

, 2023
Ran Liu, Maksim E. Eren, Charles Nicholas   +2 more
openalex   +1 more source