Results 91 to 100 of about 1,703,304 (282)

Artificial intelligence-driven resource management in edge-cloud computing continuum for internet of things applications: new trends and future directions

Frontiers in the Internet of Things
The rapid proliferation of Internet of Things (IoT) devices across domains such as smart transportation, healthcare, and smart city infrastructure has intensified the demand for low-latency, energy-efficient, and scalable computing paradigms. While cloud
Zhiyu Wang, Nilotpal Kapri, Nilotpal Kapri, Nilotpal Kapri, Luiz Fernando Bittencourt, Rajkumar Buyya   +5 more
doaj   +1 more source

Efficient Resources Distribution for an Ephemeral Cloud/Edge continuum

, 2021
This paper presents the idea and the concepts behind the vision of an Ephemeral Cloud/Edge Continuum, a cloud/edge computing landscape that enables the exploitation of a widely distributed, dynamic, and context-aware set of resources.
Mordacchini, Matteo, Dazzi, Patrizio, Ferrucci, Luca, Carlini, Emanuele   +3 more
core   +1 more source

Multimodal Human–Robot Interaction Using Human Pose Estimation and Local Large Language Models

Advanced Robotics Research, EarlyView.
A multimodal human–robot interaction framework integrates human pose estimation (HPE) and a large language model (LLM) for gesture‐ and voice‐based robot control. Speech‐to‐text (STT) enables voice command interpretation, while a safety‐aware arbitration mechanism prioritizes gesture input for rapid intervention.
Nasiru Aboki, Ilche Georgievski, Marco Aiello   +2 more
wiley   +1 more source

Dynamic Decision-Making for Resource Collaboration in Complex Computing Networks: A Differential Game and Intelligent Optimization Approach

Mathematics
End–edge–cloud collaboration enables significant improvements in system resource utilization by integrating heterogeneous resources while ensuring application-level quality of service (QoS).
Cai Qi, Zibin Zhang
doaj   +1 more source

Mobility usecase: intelligent service migration in cloud-edge continuum

As industries increasingly embrace digital and intelligent transformation, enterprises face significant challenges in the containerization upgrades for their Artificial Intelligence(AI) applications and dynamic service migration and management in Cloud ...
Datsika, Eftychia, Dalgitsis, Michail, Santaella Sánchez, Javier, Nou Castell, Ramon, Antonopoulos, Angelos, Guitart Fernández, Jordi, Berral García, Josep Lluís, Palacín Marfil, Marc, Serrano, María A., Liu, Peini, Oliveras Torra, Joan   +10 more
core   +1 more source

Intelligent Maintenance Review for Robots: Multimodal Information, Deep Diagnosis and Embodied Artificial Intelligence

Advanced Robotics Research, EarlyView.
This review maps the methods to monitor robots’ health by fusing vibration, sound, control signals, vision, force, and oil information with artificial intelligence. It identifies deep learning, transfer learning, digital twins, and physics‐informed models as key methodological pathways enabling earlier diagnosis, safer human–robot collaboration, and ...
Yuting Qiao, Hongbo Wang, Naipeng Li, Shuo Wang, Yaguo Lei, Tonghai Wu, Junyi Cao   +6 more
wiley   +1 more source

Discovery of 6G Services and Resources in Edge-Cloud-Continuum

IEEE Network
10 pages, 5 ...
Farhoudi, Mohammad, Shokrnezhad, Masoud, Taleb, Tarik, Li, Renwei (Richard), Song, JaeSeung   +4 more
openaire   +3 more sources

Situation Awareness in the Cloud-Edge Continuum

Edge Computing is becoming a promising computing paradigm that addresses the limitations of cloud computing concerning latency, autonomy, and costs. To facilitate more intelligent applications made possible by the Edge Computing paradigm, it is essential
Fortino, G.,, Flammini, Francesco,, Gaeta, M.,, D’Aniello, G.,   +3 more
core   +2 more sources

Data-Connector: an agent-based framework for autonomous ML-based smart management in cloud-edge continuum

Machine Learning (ML) is becoming pervasive and integrated into different kinds of intelligent applications, and the collaborative Cloud-Edge continuum has been introduced as an emerging trend to support their adoption into use cases.
Nou Castell, Ramon, Guitart Fernández, Jordi, Berral García, Josep Lluís, Palacín Marfil, Marc, Liu, Peini, Oliveras Torra, Joan   +5 more
core   +1 more source

Learning‐Based Soft Robotic Grasping: Recent Progress and Remaining Challenges

Advanced Robotics Research, EarlyView.
This review analyzes learning‐based soft robotic grasping from a pipeline‐oriented perspective, encompassing soft gripper design, multimodal sensing, and learning‐based planning and control. It surveys key neural network architectures and benchmark datasets and identifies critical challenges such as sim‐to‐real transfer, generalization, and continual ...
Arnab Majumder, Jelizaveta Konstantinova, Graham Deacon, Kaspar Althoefer   +3 more
wiley   +1 more source