Results 41 to 50 of about 1,117,093 (260)

A New Method to Improve Frequent-Handover Problem in High-Mobility Communications Using RIC and Machine Learning

IEEE Access, 2023
The current trend of newer cellular network technology, such as 5G, is using a higher frequency spectrum that causes a smaller cell size. This will further cause a more frequent handover in the high-mobility users like the ones that happen in the high ...
Baud Haryo Prananto, Iskandar, Adit Kurniawan   +2 more
doaj   +1 more source

Evaluating GenAI‐produced feedback on undergraduate bioscience essays against good higher education feedback practice

FEBS Open Bio, EarlyView.
This pilot study investigates the potential of Generative AI to provide formative feedback to students. ChatGPT was prompted to provide feedback on Year 1 Bioscience essays, which were evaluated against established good feedback practices. GenAI‐authored feedback had useful elements, but was limited in scope. GenAI may have potential to provide instant,
Annabel Court, Nigel Francis, Andrew Shore, Stephen Rutherford   +3 more
wiley   +1 more source

Energy Consumption of Machine Learning Enhanced Open RAN: A Comprehensive Review

IEEE Access
The Open Radio Access Network (RAN) emerges as a revolutionary architecture promising unprecedented levels of openness, flexibility, and intelligence within radio access networks. Central to this innovation is the integration of Machine Learning (ML) and
Xuanyu Liang, Qiao Wang, Ahmed Al-Tahmeesschi, Swarna B. Chetty, David Grace, Hamed Ahmadi   +5 more
doaj   +1 more source

Feedback Control for QoS-Aware Radio Resource Allocation in Adaptive RAN

IEEE Access, 2022
In order to meet the quality requirements of various communication services in the advanced 5G era around 2025, the authors have proposed an Adaptive radio access network (RAN) that changes the placement of virtualized base station functions according to
Haruhisa Hirayama, Yu Tsukamoto, Hiroyuki Shinbo   +2 more
doaj   +1 more source

Intelligent automated guided vehicle controller with reverse strategy [PDF]

, 2011
This paper describes the intelligent Automated Guided Vehicle (AGV) control system using Fuzzy Rule Interpolation (FRI) method. The AGV used in this paper is a virtual vehicle simulated using computer.
Wong, K.W., Kato, S.
core  

Elevated Connectivity During Language Processing Is Associated With Cognitive Performance in SeLECTS

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Self‐Limited Epilepsy with Centrotemporal Spikes (SeLECTS) is associated with language impairments despite seizures originating in the motor cortex, suggesting aberrant cross‐network interactions. Here we tested whether functional connectivity in SeLECTS during language tasks predicts language performance.
Wendy Qi, Katharine Lee, Kerry C. Nix, Miguel Menchaca, Xiwei Shé, Lorelei Santa Maria, Wei Wu, Zihuai He, Fiona M. Baumer   +8 more
wiley   +1 more source

AI/ML Enabled Automation System for Software Defined Disaggregated Open Radio Access Networks: Transforming Telecommunication Business

Big Data Mining and Analytics
Open Air Interface (OAI) alliance recently introduced a new disaggregated Open Radio Access Networks (O-RAN) framework for next generation telecommunications and networks. This disaggregated architecture is open, automated, software defined, virtual, and
Sunil Kumar
doaj   +1 more source

Memory and Resting‐State Connectivity in Acute Transient Global Amnesia: A Case–Control fMRI Study

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background and Objectives Transient global amnesia (TGA) is a striking model of isolated amnesia. While hippocampal lesions are well described, the network‐level mechanisms and the precise neuropsychological profile remain debated. Our objective was thus to characterize functional and neuropsychological correlates of acute TGA and their ...
Elias El Otmani, Emmanuel Barbeau, Béatrice Lemesle, Emilie Milongo‐Rigal, Sophie Fernandez, Sandrine Charpentier, Jean‐François Albucher, Nicolas Raposo, Fabrice Bonneville, Patrice Péran, Jérémie Pariente   +10 more
wiley   +1 more source

Techno-Economic and SLA-Aware Control of 5G Cloud-RAN via Multi-Objective and Penalty-Constrained Reinforcement Learning

Network
Fifth-generation (5G) mobile networks must simultaneously satisfy stringent latency targets, high user density, and energy-aware operation across heterogeneous services.
Sherif M. Aboul, Hala M. Abd El Kader, Esraa M. Eid, Shimaa S. Ali   +3 more
doaj   +1 more source

Sparsity-Aware Intelligent Massive Random Access Control in Open RAN: A Reinforcement Learning Based Approach

CoRR, 2023
Massive random access of devices in the emerging Open Radio Access Network (O-RAN) brings great challenge to the access control and management. Exploiting the bursting nature of the access requests, sparse active user detection (SAUD) is an efficient enabler towards efficient access management, but the sparsity might be deteriorated in case of ...
Xiao Tang 0001, Sicong Liu 0002, Xiaojiang Du, Mohsen Guizani   +3 more
openaire   +3 more sources