Farmers grapple with the task of feeding a growing population amidst climate-induced strains on farmland, water, and energy resources. While embedded sensors present advantages over drones and satellites in precision agriculture by providing high-...

We present an efficient design to enable location-aware operation in decentralized IoT communications. Large-scale IoT systems represent the backbone of a smart city functioning, allowing pervasive environmental sensing across devices and networks. ...

Precise detection of the presence of a signal in low signal-to-noise ratio (SNR) environments has significance in many wireless applications, such as primary user detection in a dynamic spectrum access (DSA) model, localization of signals, or operating ...

Cryptocurrency is a fast-moving space, with a continuous influx of new projects every year. However, an increasing number of incidents in the space, such as hacks and security breaches, threaten the growth of the community and the development of ...

Online communities are groups of people who interact primarily via the Internet, often sharing common interests. Some of these groups, particularly supporters of Q who created the far-right conspiracy theory known as QAnon, are highly toxic and ...

The kick-off of vaccination campaigns in Europe, starting in late December 2020, has been followed by the online spread of controversies and conspiracies surrounding vaccine validity and efficacy. We study Twitter discussions in three major European ...

Deep learning-based massive MIMO CSI feedback has received a lot of attention in recent years. Now, there exists a plethora of CSI feedback models that exploit a wide variety of deep learning models and techniques ranging from convolutional neural ...

In this work, we perform Physics guided data synthesis. Proposed method uses seed data from the observed source state / domain for data generation of unobserved target state / domain. Our method adapts the variation of features with respect to the ...

Games of skill provide an excellent source of entertainment to realize self-esteem, relaxation and social gratification. Engagement in online skill gaming platforms is however heavily dependent on the outcomes and experience (e.g., wins/losses). A user ...

The emergence of 5G allows the network to be sliced to meet multiple service requirements. However, current design systems are policy-driven, which limits the ability to redesign the 5G network adaptively for requirements or traffic patterns. In this ...

Data synthesis is an important need in many real-life applications. However, generating data with preserving causal relations is a challenge. Causal relation preservation is an utmost need to boost the explainability of ML-DL based applications. Some of ...

Multi-object tracking in video sequences plays a critical role in various computer vision applications. The primary objective is to accurately localize and track objects across consecutive frames. However, existing approaches often suffer from ...

Social media and networking platforms provide a rich source of data that exposes valuable semantic insights into social interactions. Particularly, user conversations on these platforms exhibit distinctive characteristics, primarily through user replies ...

In federated learning, benign participants aim to optimize a global model collaboratively. However, the risk of privacy leakage cannot be ignored in the presence of semi-honest adversaries. Existing research has focused either on designing protection ...

IEEE 802.15.4-based industrial wireless sensor-actuator networks (WSANs) have been widely deployed to connect sensors, actuators, and controllers in industrial facilities. Configuring an industrial WSAN to meet the application-specified quality of service ...

Machine translation—the automatic transformation of one natural language (source language) into another (target language) through computational means—occupies a central role in computational linguistics and stands as a cornerstone of research within the ...

The proliferation of multimodal big data in cities provides unprecedented opportunities for modeling and forecasting urban problems, such as crime prediction and house price prediction, through data-driven approaches. A fundamental and critical issue in ...

The popularization of video streaming brings challenges in satisfying diverse Quality of Service (QoS) requirements. The multipath extension of the Quick UDP Internet Connection (QUIC) protocol, also called MPQUIC, has the potential to improve video ...

Ranging plays a crucial role in many wireless sensing applications. Among the wireless techniques employed for ranging, Ultra-Wideband (UWB) has received much attention due to its excellent performance and widespread integration into consumer-level ...

In this paper, we offer a formal framework to automatically synthesize a hybrid controller for continuous-time nonlinear stochastic control systems while addressing control challenges closely integrated with logical decision-making processes. The ...