Retraction: Application of local fully Convolutional Neural Network combined with YOLO v5 algorithm in small target detection of remote sensing image. [PDF]
PLoS One, 2023 PLOS ONE Editors.
europepmc +1 more source
The Future of Research in Cognitive Robotics: Foundation Models or Developmental Cognitive Models?
Advanced Robotics Research, EarlyView.Research in cognitive robotics founded on principles of developmental psychology and enactive cognitive science would yield what we seek in autonomous robots: the ability to perceive its environment, learn from experience, anticipate the outcome of events, act to pursue goals, and adapt to changing circumstances without resorting to training with ...
David Vernon
wiley +1 more source
Retracted: Fully Convolutional Neural Network Deep Learning Model Fully in Patients with Type 2 Diabetes Complicated with Peripheral Neuropathy by High-Frequency Ultrasound Image. [PDF]
Comput Math Methods Med, 2023 Methods In Medicine CAM.
europepmc +1 more source
, 2019 This paper designs a hybridized deep learning framework that integrates the Convolutional Neural Network for pattern recognition with the Long Short-Term Memory Network for half-hourly global solar radiation (GSR) forecasting.
Deo, Ravinesh C. +3 more
core +1 more source
3D Printing of Soft Robotic Systems: Advances in Fabrication Strategies and Future Trends
Advanced Robotics Research, EarlyView.Collectively, this review systematically examines 3D‐printed soft robotics, encompassing material selections, function integration, and manufacturing methodologies. Meanwhile, fabrication strategies are analyzed in order of increasing complexity, highlighting persistent challenges with proposed solutions.
Changjiang Liu +5 more
wiley +1 more source
Automated localization and segmentation of cervical lymph nodes on contrast-enhanced CT using a 3D foveal fully convolutional neural network. [PDF]
Eur Radiol Exp, 2023 Rinneburger M +12 more
europepmc +1 more source
Convolutional neural network architecture.
, 2018 The structure of the convolutional neural network is displayed. Initially, two convolution and max pooling layers are used. Then, the feature maps are flattened and input into a fully connected network.
Zohaib Iqbal (3117342) +12 more
core +1 more source
A Review on Sensor Technologies, Control Approaches, and Emerging Challenges in Soft Robotics
Advanced Robotics Research, EarlyView.This review provides an introspective of sensors and controllers in soft robotics. Initially describing the current sensing methods, then moving on to the control methods utilized, and finally ending with challenges and future directions in soft robotics focusing on the material innovations, sensor fusion, and embedded intelligence for sensors and ...
Ean Lovett +5 more
wiley +1 more source
N-Net: A novel dense fully convolutional neural network for thyroid nodule segmentation. [PDF]
Front Neurosci, 2022 Nie X +11 more
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Fully Automatic Karyotyping via Deep Convolutional Neural Networks
IEEE AccessChromosome karyotyping is an important yet labor-intensive procedure for diagnosing genetic diseases. Automating such a procedure drastically reduces the manual work of cytologists and increases congenital disease diagnosing precision. Researchers have contributed to chromosome segmentation and classification for decades.
Chengyu Wang 0005 +6 more
openaire +3 more sources