Results 61 to 70 of about 13,220,426 (366)

XANet: An Efficient Remote Sensing Image Segmentation Model Using Element-Wise Attention Enhancement and Multi-Scale Attention Fusion

Remote Sensing, 2022
Massive and diverse remote sensing data provide opportunities for data-driven tasks in the real world, but also present challenges in terms of data processing and analysis, especially pixel-level image interpretation.
Chenbin Liang, Baihua Xiao, Bo Cheng, Yunyun Dong   +3 more
doaj   +1 more source

Brain tumor segmentation based on deep learning and an attention mechanism using MRI multi-modalities brain images

Scientific Reports, 2021
Brain tumor localization and segmentation from magnetic resonance imaging (MRI) are hard and important tasks for several applications in the field of medical analysis.
Ramin Ranjbarzadeh, Abbas Bagherian Kasgari, Saeid Jafarzadeh Ghoushchi, Shokofeh Anari, Maryam Naseri, Malika Bendechache   +5 more
semanticscholar   +1 more source

Network topology drives population temporal variability in experimental habitat networks

Population Ecology, EarlyView.
Habitat patches connected by dispersal pathways form habitat networks. We explored how network topology affects population outcomes in laboratory experiments using a model species (Daphnia carinata). Central habitat nodes in complex lattice networks exhibited lower temporal variability in population sizes, suggesting they support more stable ...
Yiwen Xu, J. Angus Webb, William D. Bovill, Elise L. King   +3 more
wiley   +1 more source

Inhibitory attentional mechanisms and aging. [PDF]

Psychology and Aging, 1994
Two experiments sought to elicit distractor suppression in older adults. Experiment 1 used a procedure that increased suppression in younger adults, thus creating a more sensitive measure of suppression in older adults. To compensate for older adults' slowed processing, Experiment 2 used a longer stimulus exposure duration.
Lynn Hasher, Michael J. Kane, Rose T. Zacks, S. L. Connelly, Ellen R. Stoltzfus   +4 more
openaire   +3 more sources

Geographic variation in walking activity in the red flour beetle Tribolium castaneum

Population Ecology, EarlyView.
This study examined whether there is geographic variation in field populations, focusing on the moving activity in the red flour beetle Tribolium castaneum. Results showed significant differences in moving activity among field populations but no correlation with latitude or meteorological factors.
Kentarou Matsumura
wiley   +1 more source

Double Attention: An Optimization Method for the Self-Attention Mechanism Based on Human Attention

Biomimetics
Artificial intelligence, with its remarkable adaptability, has gradually integrated into daily life. The emergence of the self-attention mechanism has propelled the Transformer architecture into diverse fields, including a role as an efficient and ...
Zeyu Zhang, Bin Li, Chenyang Yan, Kengo Furuichi, Yuki Todo   +4 more
doaj   +1 more source

Multi-Context Attention for Human Pose Estimation

, 2017
In this paper, we propose to incorporate convolutional neural networks with a multi-context attention mechanism into an end-to-end framework for human pose estimation.
Chu, Xiao, Ma, Cheng, Ouyang, Wanli, Wang, Xiaogang, Yang, Wei, Yuille, Alan L.   +5 more
core   +1 more source

Between Droughts and Floods: The Seasonal Response of Freshwater Snails in Artificial Reservoirs in the Brazilian Semiarid Region

Population Ecology, EarlyView.
We investigate the seasonal dynamics of two freshwater snails, Biomphalaria straminea and Melanoides tuberculata, in artificial reservoirs of the Brazilian semiarid region. Despite regulated hydrology, B. straminea exhibited strong seasonal fluctuations associated with dry periods, while M. tuberculata maintained stable populations throughout the year,
Lucas Henrique Sousa da Silva, João Hemerson de Sousa, Adriana Josefa da Rocha, Manuella Feitosa Leal, Lucas Ariel de Sousa Aguiar, Tamaris Gimenez Pinheiro, Edson Lourenço da Silva   +6 more
wiley   +1 more source

Attention to Monkeypox: An Interpretable Monkeypox Detection Technique Using Attention Mechanism

IEEE Access
In the wake of COVID-19, rising monkeypox cases pose a potential pandemic threat. While less severe than COVID-19, its increasing spread underscores the urgency of early detection and isolation to control the disease.
Avi Deb Raha, Mrityunjoy Gain, Rameswar Debnath, Apurba Adhikary, Yu Qiao, Md. Mehedi Hassan, Anupam Kumar Bairagi, Sheikh Mohammed Shariful Islam   +7 more
doaj   +1 more source

A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction

, 2017
The Nonlinear autoregressive exogenous (NARX) model, which predicts the current value of a time series based upon its previous values as well as the current and past values of multiple driving (exogenous) series, has been studied for decades. Despite the
Chen, Haifeng, Cheng, Wei, Cottrell, Garrison, Jiang, Guofei, Qin, Yao, Song, Dongjin   +5 more
core   +1 more source