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08/24/2023
Uncertainty and Explainable Analysis of Machine Learning Model for Reconstruction of Sonic Slowness Logs
Logs are valuable information for oil and gas fields as they help to det...
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07/20/2023
Sensing User's Activity, Channel, and Location with Near-Field Extra-Large-Scale MIMO
This paper proposes a grant-free massive access scheme based on the mill...
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06/09/2023
DP-HyPO: An Adaptive Private Hyperparameter Optimization Framework
Hyperparameter optimization, also known as hyperparameter tuning, is a w...
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03/09/2023
A Lite Fireworks Algorithm with Fractal Dimension Constraint for Feature Selection
As the use of robotics becomes more widespread, the huge amount of visio...
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01/28/2023
Non-Hermitian Physics-Inspired Voltage-Controlled Oscillators with Resistive Tuning
This paper presents a non-Hermitian physics-inspired voltage-controlled ...
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12/13/2022
A fast and Accurate Sketch Method for Estimating User Similarities over Trajectory Data
In a complex urban environment, due to the unavoidable interruption of G...
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12/13/2022
Trajectory Privacy Protection Mechanism based on Social Attributes
The current trajectory privacy protection technology only considers the ...
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11/22/2022
Deep-Learning-Based Computer Vision Approach For The Segmentation Of Ball Deliveries And Tracking In Cricket
There has been a significant increase in the adoption of technology in c...
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10/10/2022
SMiLE: Schema-augmented Multi-level Contrastive Learning for Knowledge Graph Link Prediction
Link prediction is the task of inferring missing links between entities ...
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08/08/2022
SLAM-TKA: Real-time Intra-operative Measurement of Tibial Resection Plane in Conventional Total Knee Arthroplasty
Total knee arthroplasty (TKA) is a common orthopaedic surgery to replace...
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06/09/2022
Analytical Composition of Differential Privacy via the Edgeworth Accountant
Many modern machine learning algorithms are composed of simple private a...
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05/18/2022
Demonstration of fully integrated parity-time-symmetric electronics
Harnessing parity-time (PT) symmetry with balanced gain and loss profile...
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01/06/2022
Deep Learning Assisted End-to-End Synthesis of mm-Wave Passive Networks with 3D EM Structures: A Study on A Transformer-Based Matching Network
This paper presents a deep learning assisted synthesis approach for dire...
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10/11/2021
Imitating Deep Learning Dynamics via Locally Elastic Stochastic Differential Equations
Understanding the training dynamics of deep learning models is perhaps a...
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08/02/2021
Angle Estimation for Terahertz Ultra-Massive MIMO-Based Space-to-Air Communications
This paper investigates terahertz ultra-massive (UM)-MIMO-based angle es...
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06/24/2021
A Modelling and Experimental Framework for Battery Lifetime Estimation in NB-IoT and LTE-M
To enable large-scale Internet of Things (IoT) deployment, Low-power wid...
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03/18/2021
Human-Oriented Autonomous Traffic Simulation
We present an innovative framework, Crowdsourcing Autonomous Traffic Sim...
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03/15/2021
Automatic Generation of Large-scale 3D Road Networks based on GIS Data
How to automatically generate a realistic large-scale 3D road network is...
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03/14/2021
Exact Sparse Orthogonal Dictionary Learning
Over the past decade, learning a dictionary from input images for sparse...
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03/02/2021
Terahertz Ultra-Massive MIMO-Based Aeronautical Communications in Space-Air-Ground Integrated Networks
The emerging space-air-ground integrated network has attracted intensive...
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08/25/2020
Residual Network Based Direct Synthesis of EM Structures: A Study on One-to-One Transformers
We propose using machine learning models for the direct synthesis of on-...
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07/21/2020
The Complete Lasso Tradeoff Diagram
A fundamental problem in the high-dimensional regression is to understan...
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07/01/2020
The Price of Competition: Effect Size Heterogeneity Matters in High Dimensions
In high-dimensional linear regression, would increasing effect sizes alw...
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06/17/2020
Exploiting Review Neighbors for Contextualized Helpfulness Prediction
Helpfulness prediction techniques have been widely used to identify and ...
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05/12/2020
Finite Element Methods For Interface Problems On Local Anisotropic Fitting Mixed Meshes
A simple and efficient interface-fitted mesh generation algorithm is dev...
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05/05/2020
NTIRE 2020 Challenge on Video Quality Mapping: Methods and Results
This paper reviews the NTIRE 2020 challenge on video quality mapping (VQ...
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01/16/2020
GMD-Based Hybrid Beamforming for Large Reconfigurable Intelligent Surface Assisted Millimeter-Wave Massive MIMO
Reconfigurable intelligent surface (RIS) is considered to be an energy-e...
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11/06/2019
Reversible Adversarial Examples based on Reversible Image Transformation
Recent studies show that widely used deep neural networks (DNNs) are vul...
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11/06/2019
Reversible Adversarial Example based on Reversible Image Transformation
At present there are many companies that take the most advanced Deep Neu...
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09/24/2019
Deformable Non-local Network For Video Super-Resolution
The video super-resolution (VSR) task aims to restore a high-resolution ...
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06/29/2019
Robust Linear Discriminant Analysis Using Ratio Minimization of L1,2-Norms
As one of the most popular linear subspace learning methods, the Linear ...
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05/15/2019
War: Detecting adversarial examples by pre-processing input data
Deep neural networks (DNNs) have demonstrated their outstanding performa...
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03/21/2019
Principal Component Analysis Based Broadband Hybrid Precoding for Millimeter-Wave Massive MIMO Systems
Hybrid analog-digital precoding is challenging for broadband millimeter-...
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03/16/2019
Spherical Principal Component Analysis
Principal Component Analysis (PCA) is one of the most important methods ...
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03/05/2019
Closed-Loop Sparse Channel Estimation for Wideband MmWave FD-MIMO Systems
This paper proposes a closed-loop sparse channel estimation (CE) scheme ...
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01/31/2019
ACSEE: Antagonistic Crowd Simulation model with Emotional contagion and Evolutionary game
Antagonistic crowd behaviors are often observed in cases of serious conf...
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09/10/2018
Machine Learning Based Hybrid Precoding for MmWave MIMO-OFDM with Dynamic Subarray
Hybrid precoding design can be challenging for broadband millimeter-wave...
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09/10/2018
Wideband Hybrid Precoding for Next-Generation Backhaul/Fronthaul Based on mmWave FD-MIMO
Millimeter-wave (mmWave) communication is considered as an indispensable...
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02/21/2018
Intent Classification using Feature Sets for Domestic Violence Discourse on Social Media
Domestic Violence against women is now recognized to be a serious and wi...
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02/02/2018
Preserving Patient-centred Controls in Electronic Health Record Systems: A Reliance-based Model Implication
As a consequence of the huge advancement of the Electronic Health Record...
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02/02/2018
Scalable Architecture for Personalized Healthcare Service Recommendation using Big Data Lake
The personalized health care service utilizes the relational patient dat...
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01/19/2018
Crowd Behavior Simulation with Emotional Contagion in Unexpected Multi-hazard Situations
In this paper we present a novel crowd simulation method by modeling the...
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11/11/2017
Deep Residual Text Detection Network for Scene Text
Scene text detection is a challenging problem in computer vision. In thi...
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06/29/2017
R2CNN: Rotational Region CNN for Orientation Robust Scene Text Detection
In this paper, we propose a novel method called Rotational Region CNN (R...
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05/04/2017
Auto-painter: Cartoon Image Generation from Sketch by Using Conditional Generative Adversarial Networks
Recently, realistic image generation using deep neural networks has beco...
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07/20/2016