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Centralized and Distributed Age of Information Minimization with non-linear Aging Functions in the Internet of Things
Resource management in Internet of Things (IoT) systems is a major chall...
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Performance Analysis of Age of Information in Ultra-Dense Internet of Things (IoT) Systems with Noisy Channels
In this paper, a dense Internet of Things (IoT) monitoring system is stu...
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Detecting Video Game Player Burnout with the Use of Sensor Data and Machine Learning
Current research in eSports lacks the tools for proper game practising a...
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Collection and Validation of Psycophysiological Data from Professional and Amateur Players: a Multimodal eSports Dataset
Proper training and analytics in eSports require accurately collected an...
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Long-distance tiny face detection based on enhanced YOLOv3 for unmanned system
Remote tiny face detection applied in unmanned system is a challeng-ing ...
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AIM 2020 Challenge on Real Image Super-Resolution: Methods and Results
This paper introduces the real image Super-Resolution (SR) challenge tha...
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Simultaneous Denoising and Motion Estimation for Low-dose Gated PET using a Siamese Adversarial Network with Gate-to-Gate Consistency Learning
Gating is commonly used in PET imaging to reduce respiratory motion blur...
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Limited View Tomographic Reconstruction Using a Deep Recurrent Framework with Residual Dense Spatial-Channel Attention Network and Sinogram Consistency
Limited view tomographic reconstruction aims to reconstruct a tomographi...
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On extremal leaf status and internal status of trees
For a vertex u of a tree T, the leaf (internal, respectively) status of ...
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Age of Information in Ultra-Dense IoT Systems: Performance and Mean-Field Game Analysis
In this paper, a dense Internet of Things (IoT) monitoring system is con...
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DeepFaceLab: A simple, flexible and extensible face swapping framework
DeepFaceLab is an open-source deepfake system created by iperov for face...
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A deep learning-facilitated radiomics solution for the prediction of lung lesion shrinkage in non-small cell lung cancer trials
Herein we propose a deep learning-based approach for the prediction of l...
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Risk-Aware Optimization of Age of Information in the Internet of Things
For time-sensitive Internet of Things (IoT) applications, a risk-neutral...
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On the Age of Information in Internet of Things Systems with Correlated Devices
In this paper, a real-time Internet of Things (IoT) monitoring system is...
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Age of Information Analysis for Dynamic Spectrum Sharing
Timely information updates are critical to time-sensitive applications i...
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DuDoRNet: Learning a Dual-Domain Recurrent Network for Fast MRI Reconstruction with Deep T1 Prior
MRI with multiple protocols is commonly used for diagnosis, but it suffe...
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Efficient and Robust Reinforcement Learning with Uncertainty-based Value Expansion
By integrating dynamics models into model-free reinforcement learning (R...
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Minimum status, matching and domination of graphs
The minimum status of a graph is the minimum of statuses of all vertices...
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CT Data Curation for Liver Patients: Phase Recognition in Dynamic Contrast-Enhanced CT
As the demand for more descriptive machine learning models grows within ...
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Soft Subdivision Motion Planning for Complex Planar Robots
The design and implementation of theoretically-sound robot motion planni...
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On the Reliability of Wireless Virtual Reality at Terahertz (THz) Frequencies
Guaranteeing ultra reliable low latency communications (URLLC) with high...
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Artificial Intelligence for Prosthetics - challenge solutions
In the NeurIPS 2018 Artificial Intelligence for Prosthetics challenge, p...
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Minimum Age of Information in the Internet of Things with Non-uniform Status Packet Sizes
In this paper, a real-time Internet of Things (IoT) monitoring system is...
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Intervention Aided Reinforcement Learning for Safe and Practical Policy Optimization in Navigation
Combining deep neural networks with reinforcement learning has shown gre...
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A Progressively-trained Scale-invariant and Boundary-aware Deep Neural Network for the Automatic 3D Segmentation of Lung Lesions
Volumetric segmentation of lesions on CT scans is important for many typ...
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Generation of Virtual Dual Energy Images from Standard Single-Shot Radiographs using Multi-scale and Conditional Adversarial Network
Dual-energy (DE) chest radiographs provide greater diagnostic informatio...
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Joint Status Sampling and Updating for Minimizing Age of Information in the Internet of Things
The effective operation of time-critical Internet of things (IoT) applic...
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A Weakly Supervised Adaptive DenseNet for Classifying Thoracic Diseases and Identifying Abnormalities
We present a weakly supervised deep learning model for classifying disea...
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Respond-CAM: Analyzing Deep Models for 3D Imaging Data by Visualizations
The convolutional neural network (CNN) has become a powerful tool for va...
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Model compression for faster structural separation of macromolecules captured by Cellular Electron Cryo-Tomography
Electron Cryo-Tomography (ECT) enables 3D visualization of macromolecule...
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Feature Decomposition Based Saliency Detection in Electron Cryo-Tomograms
Electron Cryo-Tomography (ECT) allows 3D visualization of subcellular st...
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Simultaneously Learning Neighborship and Projection Matrix for Supervised Dimensionality Reduction
Explicitly or implicitly, most of dimensionality reduction methods need ...
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Validation of Internal Meters of Mobile Android Devices
In this paper we outline our results for validating the precision of the...
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Transforming Sensor Data to the Image Domain for Deep Learning - an Application to Footstep Detection
Convolutional Neural Networks (CNNs) have become the state-of-the-art in...
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