Microphone Array Speech Separation Algorithm Based on TC-ResNet
Traditional separation methods have limited ability to handle the speech separation problem in high reverberant and low signal-to-noise ratio (SNR) environments, and […]
Emerging ExG-based NUI Inputs in Extended Realities
Incremental and quantitative improvements of two-way interactions with extended realities (XR) are contributing toward a qualitative leap into a state of XR […]
Car Parking User’s Behavior Using News Articles Mining Based Approach
Studying individual’s parking choice behavior can considerably contribute towards evidence-based policing in urban area. This study investigates evidence gathered by mining Finland […]
Predicting Depression From Smartphone Behavioral Markers Using Machine Learning Methods, Hyperparameter Optimization, and Feature Importance Analysis
Background: Depression is a prevalent mental health challenge. Current depression assessment methods using self-reported and clinician-administered questionnaires have limitations. Instrumenting smartphones to […]
The Effect of Drop Shape, Sensing Volume and Raindrop Size Statistics to the Scattered Field on 300 GHz
Scattering and attenuation properties of rain using various drop models are calculated using Mie theory, the T-matrix method and numerical technique respectively. […]
Low-Complexity Large MIMO Detection via Layered Belief Propagation in Beam Domain
In large multi-user multi-input multi-output systems the computational cost and circuit scale of base stations (BSs) are effectively reduced using two-stage signal […]
Energy Efficiency Maximization in the Uplink Delta-OMA Networks
Delta-orthogonal multiple access (D-OMA) has been recently investigated as a potential technique to enhance the spectral efficiency in the sixth-generation (6G) networks. […]
Time Domain Propagation Characteristics with Causal Channel Model for Terahertz Band
In recent years, as more devices are connected to wireless communication systems, the demand for spectrum has increased. As conventional spectrum resources […]
Deep Reinforcement Based Optimization of Function Splitting in Virtualized Radio Access Networks
Virtualized Radio Access Network (vRAN) is one of the key enablers of future wireless networks as it brings the agility to the […]
Cooperative Edge Caching via Federated Deep Reinforcement Learning in Fog-RANs
In this paper, cooperative edge caching problem is investigated in fog radio access networks (F-RANs). By considering the non-deterministic polynomial hard (NP-hard) […]