Predictive Control and Communication Co-Design via Two-Way Gaussian Process Regression and AoI-Aware Scheduling
This article studies the joint problem of uplink-downlink scheduling and power allocation for controlling a large number of control systems that upload […]
Origins and minimization of intermodulation distortion in a pseudo-differential CMOS beamforming receiver
This paper studies how nonlinear distortion is generated in the combination of an inverter-based low-noise amplifier and a passive mixer. The dominant […]
Ka-Band Stacked Power Amplifier Supporting 3GPP New Radio FR2 Band n258 Implemented Using 45 nm CMOS SOI
This paper presents a fully integrated, four-stack, single-ended, single stage power amplifier (PA) for millimeter-wave (mmWave) wireless applications that was fabricated and […]
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 […]
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 […]
Robust semi-supervised classification based on data augmented online ELMs with deep features
One important strategy in semi-supervised learning is to utilize the predicted pseudo labels of unlabeled data to relieve the overdependence on the […]
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 […]
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 […]