Results 11 to 20 of about 3,356,206 (287)
Brain Sciences, 2023 The ability to navigate and orient in spatial surroundings is critical for effective daily functioning. Such ability is perturbed in clinically diagnosed mood and anxiety disorders, with patients exhibiting poor navigational skills. Here, we investigated
Isma Zafar +6 more
doaj +1 more source
SAN : Scale-Space Attention Networks [PDF]
2020 IEEE 36th International Conference on Data Engineering (ICDE), 2020 Deep neural networks (DNNs), especially convolutional neural networks (CNNs), have been effective in various data-driven applications. Yet, DNNs suffer from several major challenges; in particular, in many applications where the input data is relatively sparse, DNNs face the problems of overfitting to the input data and poor generalizability.
Garg Y., Candan K. S., Sapino M. L.
openaire +1 more source
A Congestion Control Approach for Licklider Transmission Protocol
IEEE Access, 2019 Delay Tolerant Networks (DTN) are designed to deal with the long delay of space network and frequent link interruption, in 2002. Licklider Transmission Protocol (LTP) was designed to replace the Internetworking Protocol (IP) and Transmission Control ...
Yongjing Ni, Guoyan Huang
doaj +1 more source
Remote Sensing, 2020 The authors wish to make the following corrections to this paper [...]
Hubert Skoneczny +5 more
doaj +1 more source
Remote Sensing, 2020 The effective and rapid detection of Fire Blight, an important bacterial disease caused by the quarantine pest E.amylovora, is crucial for today’s horticulture. This study explored the application of non-invasive proximal hyperspectral remote sensing (RS)
Hubert Skoneczny +5 more
doaj +1 more source
SSD7-FFAM: A Real-Time Object Detection Network Friendly to Embedded Devices from Scratch
Applied Sciences, 2021 The high requirements for computing and memory are the biggest challenges in deploying existing object detection networks to embedded devices. Living lightweight object detectors directly use lightweight neural network architectures such as MobileNet or ...
Qing Li, Yingcheng Lin, Wei He
doaj +1 more source
, 2023 Network pruning techniques, including weight pruning and filter pruning, reveal that most state-of-the-art neural networks can be accelerated without a significant performance drop. This work focuses on filter pruning which enables accelerated inference with any off-the-shelf deep learning library and hardware.
He, Xuanyu +7 more
openaire +2 more sources
IEEE Access, 2020 Conductor galloping seriously threatens the safe operation of power systems and may lead to various damages such as wire fractures or tower collapses and large-scale grid breakdowns.
Decheng Wu +3 more
doaj +1 more source
FirePhysChem, 2022 This paper discusses the potential use of hydrogen peroxide as oxidizer for solid rocket propulsion. While hydrogen peroxide is a liquid in normal conditions, it may be used in solid rocket motor grains.
Wioleta Kopacz +5 more
doaj +1 more source
A Lightweight Attention-Based Network towards Distracted Driving Behavior Recognition
Applied Sciences, 2022 Distracted driving is currently a global issue causing fatal traffic crashes and injuries. Although deep learning has achieved significant success in various fields, it still faces the trade-off between computation cost and overall accuracy in the field ...
Yingcheng Lin +4 more
doaj +1 more source