Land use/land cover (LULC) classification using hyperspectral images: a review
C Lou, MAA Al-qaness, D AL-Alimi… - Geo-spatial …, 2024 - Taylor & Francis
In the rapidly evolving realm of remote sensing technology, the classification of
Hyperspectral Images (HSIs) is a pivotal yet formidable task. Hindered by inherent …
Hyperspectral Images (HSIs) is a pivotal yet formidable task. Hindered by inherent …
LCFE-X: Pluggable Local Channel Feature Extraction model enhancement method for hyperspectral image classification
X Li, Y Su, J Yao, H Gu, Y Jiao - Knowledge-Based Systems, 2024 - Elsevier
Spectral information of hyperspectral images offers high-dimensional features for
downstream tasks. Local spectral signatures in different wavelength ranges are critical for …
downstream tasks. Local spectral signatures in different wavelength ranges are critical for …
QLDT: adaptive Query Learning for HOI Detection via vision-language knowledge Transfer
Human-object interaction detection can be mainly categorized into two core problems,
namely human-object association detection and interaction understanding. Firstly, for …
namely human-object association detection and interaction understanding. Firstly, for …
State space models meet transformers for hyperspectral image classification
In recent years, convolutional neural networks and vision transformers have emerged as
predominant models for hyperspectral remote sensing image classification task, leveraging …
predominant models for hyperspectral remote sensing image classification task, leveraging …
Application of Entity-BERT model based on neuroscience and brain-like cognition in electronic medical record entity recognition
W Lu, J Jiang, Y Shi, X Zhong, J Gu… - Frontiers in …, 2023 - frontiersin.org
Introduction In the medical field, electronic medical records contain a large amount of textual
information, and the unstructured nature of this information makes data extraction and …
information, and the unstructured nature of this information makes data extraction and …
Assessment of fish health status for waterless transportation based on image features and deep learning models
N Shang, C Zhang, W Zhang, X Zhang, Y Zhang - Aquaculture, 2025 - Elsevier
In the current aquaculture industry, the detection of physiological stress indicators in fish
during waterless transportation is considered to be an effective method to monitor their …
during waterless transportation is considered to be an effective method to monitor their …
Research on CNN-LSTM DC power system fault diagnosis and differential protection strategy based on reinforcement learning
Y Yang, F Tu, S Huang, Y Tu, T Liu - Frontiers in Energy Research, 2023 - frontiersin.org
Introduction: With the development of artificial intelligence technology, more and more fields
are applying deep learning and reinforcement learning techniques to solve practical …
are applying deep learning and reinforcement learning techniques to solve practical …
Miner fatigue detection from electroencephalogram-based relative power spectral topography using convolutional neural network
L Xu, J Li, D Feng - Sensors, 2023 - mdpi.com
Fatigue of miners is caused by intensive workloads, long working hours, and shift-work
schedules. It is one of the major factors increasing the risk of safety problems and work …
schedules. It is one of the major factors increasing the risk of safety problems and work …
Zero-shot stance detection based on multi-perspective transferable feature fusion
Zero-shot stance detection involves predicting stances that have not previously been
encountered by adapting models to learn transferable features by aligning the source and …
encountered by adapting models to learn transferable features by aligning the source and …
Multiview Deep Learning-Based Molecule Design and Structural Optimization Accelerates Inhibitor Discover
In this work, we propose MEDICO, a multiview deep generative model for molecule
generation, structural optimization, and the SARS-CoV-2 inhibitor discovery. To the best of …
generation, structural optimization, and the SARS-CoV-2 inhibitor discovery. To the best of …