NSTL国家科技图书文献中心

1. Enhancing Stock Prediction ability through News Perspective and Deep Learning with attention mechanisms NSTL国家科技图书文献中心

Mei,Yang | Fanjie,Fu ... - 《Soft computing》 - 2025,29(1) - 117～126 - 共10页

摘要： study innovatively merges the capacity of attention | mechanisms to focus crucial information with the ability of | patterns, proposing a new algorithm named “Attention-TCN | ”. The results indicate that the Attention-TCN model | utilizing a TCN model combined with an attention* mechanism*

关键词： Attention mechanisms | News, stock prediction | Deep learning | Temporal convolutional network

2. Adversarial Robust Modulation Recognition Guided by Attention Mechanisms NSTL国家科技图书文献中心

Quanhai Zhan | Xiongwei Zhang ... - 《IEEE Open Journal of Signal Processing》 - 2025,6 - 17～29 - 共13页

摘要： order to address this issue, an Attention-Guided | optimized attention* mechanism within the Transformer* | filtered based on the weights of the attention* module* | Deep neural networks have demonstrated | considerable effectiveness in recognizing complex

关键词： Modulation | Training | Feature extraction | Computational modeling | Accuracy | Robustness | Perturbation methods | Transformers | Attention mechanisms | Deep learning

3. Combining residual convolutional LSTM with attention mechanisms for spatiotemporal forest cover prediction NSTL国家科技图书文献中心

Liu B. | Chen S.... - 《Environmental modelling & software》 - 2025,183(Jan.) - 1.1～1.18 - 共18页 - 被引量：1

摘要： Short-Term Memory (ConvLSTM) networks, and attention | mechanisms. We evaluated ResConvLSTM-Att against four deep | © 2024 The AuthorsUnderstanding spatiotemporal | variations in forest cover is crucial for effective forest | resource management. However, existing models often lack

关键词： Attention mechanisms | Convolutional LSTM | Forest cover prediction | Residual connect | Spatiotemporal

4. HybridCBAMNet: Enhancing time series binary classification with convolutional recurrent networks and attention mechanisms NSTL国家科技图书文献中心

Huang, Mei-Ling | Yang, Yi-Ting - 《Measurement》 - 2025,241(Pt.2) - 115746.1～115746.16 - 共16页

摘要： recurrent networks and attention* mechanisms for binary* | extract relevant features, alongside attention | enhancement modules and convolutional block attention | The rapid advancement of Internet of Things | technology and the increasing availability of big data have

关键词： Time series classification | UCR dataset | Convolutional recurrent networks | Attention mechanisms | Binary classification

5. Forecasting Trends in Cloud-Edge Computing: Unleashing the Power of Attention Mechanisms NSTL国家科技图书文献中心

Berend J. D. Gort | Godfrey M. Kibalya ... - 《IEEE Communications Magazine》 - 2025,63(1) - 108～114 - 共7页

摘要：, attention* mechanisms have emerged thanks to their* | article pioneers the exploration of attention mechanisms | -complexity attention* mechanism (i.e., informer model* | not only highlights the importance of attention | mechanisms in cloud-edge scenarios, but also paves the way

关键词： Attention mechanisms | Forecasting | Transformers | Computational modeling | Predictive models | Data models | Computer architecture | Accuracy | Training | Long short term memory...

6. Improving Vision-Language Models With Attention Mechanisms for Aerial Video Classification NSTL国家科技图书文献中心

Nguyen Anh Tu | Nartay Aikyn - 《IEEE geoscience and remote sensing letters》 - 2025,22 - 1～5 - 共5页

摘要：-enriched transformer that employs self-attention | mechanisms to adaptively refine visual and textual | Vision-language models (VLMs), particularly | contrastive language-image pretraining (CLIP), have recently | demonstrated great success across various vision tasks

关键词： Visualization | Transformers | Three-dimensional displays | Semantics | Feature extraction | Encoding | Spatiotemporal phenomena | Bidirectional control | Attention mechanisms | Dynamics

7. Cutting path planning using reinforcement learning with adaptive sequence adjustment and attention mechanisms NSTL国家科技图书文献中心

Wang, Kaiqi | Zhang, Shijin ... - 《The International Journal of Advanced Manufacturing Technology》 - 2025,136(11/12) - 5599～5612 - 共14页

摘要： adjustment and attention* mechanisms. Compared to* | In industrial manufacturing, cutting path | planning is very important since it directly affects | cutting quality and efficiency. However, traditional | methods are no longer suitable for large-scale and real

关键词： Cutting path planning | Deep reinforcement learning | Attention mechanisms | Adaptive sequence adjustment

8. Enhanced YOLOv8 Integrated Brain-Inspired Attention Mechanisms for Weed Detection NSTL国家科技图书文献中心

Maosheng Wang | Yuan Fang - 《Intelligent Robotics and Applications,Part IX》 - International Conference on Intelligent Robotics and Applications - 2025, - 259～272 - 共14页

摘要： incorporation of attention* mechanisms further improves its* | model incorporating brain-inspired attention | mechanisms, in terms of weed detection. The comparison | This study explores the application of YOLOv8 | in agricultural weed detection and compares the

关键词： Weed detection | YOLO algorithm | Brain-inspired model | Attention mechanism | Smart agriculture

9. Underwater Image Enhancement via Multiple Attention Mechanisms and Adversarial Learning NSTL国家科技图书文献中心

Juntao Gu | Xiantao Jiang ... - 《Sixteenth International Conference on Graphics and Image Processing (ICGIP 2024)》 - International Conference on Graphics and Image Processing - 2025, - 135391O.1～135391O.12 - 共12页

摘要：. Furthermore, the model incorporates multiple attention | mechanisms to mitigate information redundancy. Our | Due to the complex nature of the underwater | environment, underwater images often suffer from degradation | issues such as low contrast, blurring, and color

关键词： Underwater image enhancement | Deep learning | Convolution neural network | Generative neural network

10. SNN using color-opponent and attention mechanisms for object recognition NSTL国家科技图书文献中心

Yao, Zhiwei | Gao, Shaobing ... - 《Pattern Recognition》 - 2025,158 - 共13页

摘要： from color-opponency mechanisms* (COM) and classical* | attention mechanism to enhance differentiation among | kernel computes attention, which is then applied via | The current spiking neural network (SNN | ) relies on spike-timing-dependent plasticity (STDP

关键词： Attention mechanisms | News, stock prediction | Deep learning | Temporal convolutional network

摘要： order to address this issue, an Attention-Guided | optimized attention* mechanism within the Transformer* | filtered based on the weights of the attention* module* | Deep neural networks have demonstrated | considerable effectiveness in recognizing complex

关键词： Modulation | Training | Feature extraction | Computational modeling | Accuracy | Robustness | Perturbation methods | Transformers | Attention mechanisms | Deep learning

摘要： Short-Term Memory (ConvLSTM) networks, and attention | mechanisms. We evaluated ResConvLSTM-Att against four deep | © 2024 The AuthorsUnderstanding spatiotemporal | variations in forest cover is crucial for effective forest | resource management. However, existing models often lack

关键词： Attention mechanisms | Convolutional LSTM | Forest cover prediction | Residual connect | Spatiotemporal

摘要： recurrent networks and attention* mechanisms for binary* | extract relevant features, alongside attention | enhancement modules and convolutional block attention | The rapid advancement of Internet of Things | technology and the increasing availability of big data have

关键词： Time series classification | UCR dataset | Convolutional recurrent networks | Attention mechanisms | Binary classification

摘要：, attention* mechanisms have emerged thanks to their* | article pioneers the exploration of attention mechanisms | -complexity attention* mechanism (i.e., informer model* | not only highlights the importance of attention | mechanisms in cloud-edge scenarios, but also paves the way

关键词： Attention mechanisms | Forecasting | Transformers | Computational modeling | Predictive models | Data models | Computer architecture | Accuracy | Training | Long short term memory...

摘要：-enriched transformer that employs self-attention | mechanisms to adaptively refine visual and textual | Vision-language models (VLMs), particularly | contrastive language-image pretraining (CLIP), have recently | demonstrated great success across various vision tasks

关键词： Visualization | Transformers | Three-dimensional displays | Semantics | Feature extraction | Encoding | Spatiotemporal phenomena | Bidirectional control | Attention mechanisms | Dynamics

摘要： adjustment and attention* mechanisms. Compared to* | In industrial manufacturing, cutting path | planning is very important since it directly affects | cutting quality and efficiency. However, traditional | methods are no longer suitable for large-scale and real

关键词： Cutting path planning | Deep reinforcement learning | Attention mechanisms | Adaptive sequence adjustment

摘要： incorporation of attention* mechanisms further improves its* | model incorporating brain-inspired attention | mechanisms, in terms of weed detection. The comparison | This study explores the application of YOLOv8 | in agricultural weed detection and compares the

关键词： Weed detection | YOLO algorithm | Brain-inspired model | Attention mechanism | Smart agriculture

摘要：. Furthermore, the model incorporates multiple attention | mechanisms to mitigate information redundancy. Our | Due to the complex nature of the underwater | environment, underwater images often suffer from degradation | issues such as low contrast, blurring, and color

关键词： Underwater image enhancement | Deep learning | Convolution neural network | Generative neural network

摘要： from color-opponency mechanisms* (COM) and classical* | attention mechanism to enhance differentiation among | kernel computes attention, which is then applied via | The current spiking neural network (SNN | ) relies on spike-timing-dependent plasticity (STDP

关键词： Color-opponency | Attention mechanism | STDP | SNN | Unsupervised learning

4008-161-200 800-990-8900

国家科技图书文献中心

关键词： Attention mechanisms | News, stock prediction | Deep learning | Temporal convolutional network

摘要： order to address this issue, an Attention-Guided | optimized attention mechanism within the Transformer | filtered based on the weights of the attention module | Deep neural networks have demonstrated | considerable effectiveness in recognizing complex

关键词： Modulation | Training | Feature extraction | Computational modeling | Accuracy | Robustness | Perturbation methods | Transformers | Attention mechanisms | Deep learning

摘要： Short-Term Memory (ConvLSTM) networks, and attention | mechanisms. We evaluated ResConvLSTM-Att against four deep | © 2024 The AuthorsUnderstanding spatiotemporal | variations in forest cover is crucial for effective forest | resource management. However, existing models often lack

关键词： Attention mechanisms | Convolutional LSTM | Forest cover prediction | Residual connect | Spatiotemporal

摘要： recurrent networks and attention mechanisms for binary | extract relevant features, alongside attention | enhancement modules and convolutional block attention | The rapid advancement of Internet of Things | technology and the increasing availability of big data have

关键词： Time series classification | UCR dataset | Convolutional recurrent networks | Attention mechanisms | Binary classification

摘要：, attention mechanisms have emerged thanks to their | article pioneers the exploration of attention mechanisms | -complexity attention mechanism (i.e., informer model | not only highlights the importance of attention | mechanisms in cloud-edge scenarios, but also paves the way

关键词： Attention mechanisms | Forecasting | Transformers | Computational modeling | Predictive models | Data models | Computer architecture | Accuracy | Training | Long short term memory...

摘要：-enriched transformer that employs self-attention | mechanisms to adaptively refine visual and textual | Vision-language models (VLMs), particularly | contrastive language-image pretraining (CLIP), have recently | demonstrated great success across various vision tasks

关键词： Visualization | Transformers | Three-dimensional displays | Semantics | Feature extraction | Encoding | Spatiotemporal phenomena | Bidirectional control | Attention mechanisms | Dynamics

摘要： adjustment and attention mechanisms. Compared to | In industrial manufacturing, cutting path | planning is very important since it directly affects | cutting quality and efficiency. However, traditional | methods are no longer suitable for large-scale and real

关键词： Cutting path planning | Deep reinforcement learning | Attention mechanisms | Adaptive sequence adjustment

摘要： incorporation of attention mechanisms further improves its | model incorporating brain-inspired attention | mechanisms, in terms of weed detection. The comparison | This study explores the application of YOLOv8 | in agricultural weed detection and compares the

关键词： Weed detection | YOLO algorithm | Brain-inspired model | Attention mechanism | Smart agriculture

摘要：. Furthermore, the model incorporates multiple attention | mechanisms to mitigate information redundancy. Our | Due to the complex nature of the underwater | environment, underwater images often suffer from degradation | issues such as low contrast, blurring, and color

关键词： Underwater image enhancement | Deep learning | Convolution neural network | Generative neural network

摘要： from color-opponency mechanisms (COM) and classical | attention mechanism to enhance differentiation among | kernel computes attention, which is then applied via | The current spiking neural network (SNN | ) relies on spike-timing-dependent plasticity (STDP

关键词： Color-opponency | Attention mechanism | STDP | SNN | Unsupervised learning

4008-161-200 800-990-8900

国家科技图书文献中心

摘要： order to address this issue, an Attention-Guided | optimized attention* mechanism within the Transformer* | filtered based on the weights of the attention* module* | Deep neural networks have demonstrated | considerable effectiveness in recognizing complex

摘要： recurrent networks and attention* mechanisms for binary* | extract relevant features, alongside attention | enhancement modules and convolutional block attention | The rapid advancement of Internet of Things | technology and the increasing availability of big data have

摘要：, attention* mechanisms have emerged thanks to their* | article pioneers the exploration of attention mechanisms | -complexity attention* mechanism (i.e., informer model* | not only highlights the importance of attention | mechanisms in cloud-edge scenarios, but also paves the way

摘要： adjustment and attention* mechanisms. Compared to* | In industrial manufacturing, cutting path | planning is very important since it directly affects | cutting quality and efficiency. However, traditional | methods are no longer suitable for large-scale and real

摘要： incorporation of attention* mechanisms further improves its* | model incorporating brain-inspired attention | mechanisms, in terms of weed detection. The comparison | This study explores the application of YOLOv8 | in agricultural weed detection and compares the

摘要： from color-opponency mechanisms* (COM) and classical* | attention mechanism to enhance differentiation among | kernel computes attention, which is then applied via | The current spiking neural network (SNN | ) relies on spike-timing-dependent plasticity (STDP