Results 71 to 80 of about 272 (134)
Time synchronization is critical for 5G networks, enabling ultra-reliable low-latency communications (URLLC) and massive machine-type communications (mMTC).
Mustafa Serdar Osmanca +3 more
doaj +1 more source
The rapid growth of the Internet of Things (IoT) has led to an exponential increase in connected devices, creating significant challenges for the energy efficiency of 5G networks.
Yi Zhong, Yiting Wu, Yi Zheng, Xiaohu Ge
doaj +1 more source
A Statistical Priority-Based Scheduling Metric for M2M Communications in LTE Networks
Resource allocation, or scheduling, is one of the main challenges that face supporting machine-to-machine (M2M) communications on long term evolution networks. M2M traffic has unique characteristics.
Ahmed Elhamy Mostafa, Yasser Gadallah
doaj +1 more source
Abstract Internet of Medical Things (IoMT) has typical advancements in the healthcare sector with rapid potential proof for decentralised communication systems that have been applied for collecting and monitoring COVID‐19 patient data. Machine Learning algorithms typically use the risk score of each patient based on risk factors, which could help ...
Chandramohan Dhasaratha +9 more
wiley +1 more source
Future wireless communications are expected to support massive connectivity in various applications, such as massive Machine-Type Communications (mMTC) and different types of IoT networks, where many applications have the data traffic of sporadicnature ...
Yi Zhao +2 more
doaj +1 more source
Games and gamification projects in the Australian public sector
Abstract This article surveys the arrival of gameful government into Australian public sector practice. Gameful government is a shorthand, descriptive term denoting the interpenetration of (video)games, and design elements and thinking from them, into public sector work.
David Threlfall, Catherine Althaus
wiley +1 more source
ABSTRACT Tracing the early adoption of computer gang databases by the Los Angeles County Sheriff's Department and the Los Angeles Police Department in the 1980s to the deployment of computationally‐assisted surveillance during the Vietnam War, this paper uses a genealogical approach to compare surveillance technologies developed across the arc of ...
Christina Hughes
wiley +1 more source
ABSTRACT The Personalized Patient Preference Predictor (P4) has been proposed as an AI tool to aid surrogate decision‐making when incapacitated patients lack advance directives. Unlike population‐level Patient Preference Predictors (PPPs), which infer preferences from demographic correlations, P4s fine‐tune large language models (LLMs) on a patient's ...
Beatrice Marchegiani
wiley +1 more source
Abstract Behavioural science research has the potential to develop evidence‐based strategies to fight disinformation about climate science and climate mitigation action; however, this research has yet to be conducted systematically with validated sets of climate disinformation stimuli. Here, we present the Climate Disinformation Corpus, a collection of
Tobia Spampatti +3 more
wiley +1 more source
Interactive Groupwise Comparison for Reinforcement Learning from Human Feedback
The standard RLHF uses pairwise comparisons and therefore requires a large number of comparisons leading to a high workload. The comparison pairs are suggested by the system and cannot be chosen by the user. Our RLHF approach provides more agency to the user and demands less work: we leverage the user's visual abilities to effectively explore the ...
Jan Kompatscher +4 more
wiley +1 more source

