3-D Raman Imaging Using Time-Resolving CMOS SPAD Line Sensor and 2-D Mapping
The capability of Raman imaging to produce 2-D and 3-D chemical presentations of samples has gained a lot of interest in different […]
Perspectives on Negative Research Results in Pervasive Computing
Not all research leads to fruitful results; trying new ways or methods may surpass state of the art, but sometimes the hypothesis […]
Unbiased Scene Graph Generation via Two-Stage Causal Modeling
Despite the impressive performance of recent unbiased Scene Graph Generation (SGG) methods, the current debiasing literature mainly focuses on the long-tailed distribution […]
A Wideband IF Receiver Chip for Flexibly Scalable mmWave Subarray Combining and Interference Rejection
Large-scale multibeam phased array systems suffer from interbeam interference (IBI) that should be canceled either in the analog or digital domain. In […]
Facial Micro-Expressions: An Overview
Micro-expression (ME) is an involuntary, fleeting, and subtle facial expression. It may occur in high-stake situations when people attempt to conceal or […]
Facial Micro-Expressions
Micro-expression (ME) is an involuntary, fleeting, and subtle facial expression. It may occur in high-stake situations when people attempt to conceal or […]
Innovation Management in 6G research: the case of Hexa-X project
Very often in the past, innovations from research communities have been disconnected from industry adoption, leading to a lack of exploitation of […]
Nonorthogonal Replication Scheme for ALOHA Uplink in LPWAN
In this work, we address a novel replication scheme for Internet-of-Things (IoT) low power wide area networks (LPWAN), considering the ability of […]
Joint Design of Long-Term Base Station Activation and Short-Term Beamforming for Green Wireless Networks
Base station (BS) activation is a widely-used approach to alleviate the system power cost for device maintenance. However, frequently switching on/off BSs […]
Accuracy-Security Tradeoff with Balanced Aggregation and Artificial Noise for Wireless Federated Learning
In federated learning (FL), a number of devices train their local models and upload the corresponding parameters or gradients to the base […]