Results 71 to 80 of about 170,121 (217)

A Framework for Quality-Driven Delivery in Distributed Multimedia Systems [PDF]

open access: yes, 2006
In this paper, we propose a framework for Quality-Driven Delivery (QDD) in distributed multimedia environments. Quality-driven delivery refers to the capacity of a system to deliver documents, or more generally objects, while considering the users ...
Gerbé, Olivier   +3 more
core   +1 more source

Generative AI Implementation in Enterprises: Lessons From a Case Study of Enhanced IT Service Management

open access: yesInformation Systems Journal, EarlyView.
ABSTRACT The recent rise of Generative Artificial Intelligence (GenAI) is fundamentally changing the way businesses operate, with many now investing heavily in this technology. However, businesses are still exploring ways to extract value from GenAI and develop organisational capabilities.
Ashish Jagdish Sharma   +4 more
wiley   +1 more source

Satisfaction Equilibrium: A General Framework for QoS Provisioning in Self-Configuring Networks

open access: yes, 2010
This paper is concerned with the concept of equilibrium and quality of service (QoS) provisioning in self-configuring wireless networks with non-cooperative radio devices (RD).
Debbah, Merouane   +3 more
core   +3 more sources

QoS-LI: QoS Loss Inference in Disadvantaged Networks [PDF]

open access: yes21st International Conference on Advanced Information Networking and Applications Workshops (AINAW'07), 2007
Quality of Service (QoS) of disadvantaged networks is considered from a purely network standpoint in existing works. Adversarial intervention in such networks is not analyzed, nor is it possible to infer if a QoS loss is benign or otherwise. In this paper, we present a QoS loss inference module, where the end nodes can infer the nature of a QoS loss in
Vidyaraman Sankaranarayanan   +2 more
openaire   +1 more source

Generating Pattern‐Based Datasets for Cyber Attack Detection Using Machine‐Learning Techniques

open access: yesWIREs Data Mining and Knowledge Discovery, Volume 16, Issue 2, June 2026.
The aim of this work is to review the state of the art in the design, generation, and labeling of attack pattern datasets for training of detection systems based on machine learning. ABSTRACT This work aims to review the state of the art in the design, generation, and labeling of attack pattern datasets for the training of detection systems based on ...
Pedro Díaz García   +4 more
wiley   +1 more source

Deployment and Measurement of Quality of Service Parameters for Triple Play Services in Optical Access Networks

open access: yesCommunications, 2017
Broadband telecommunication networks are the future of communication and distribution of multimedia services. Thanks to the high transmission potential and capacity of optical fibres, the optical networks are predestined to be more widely used in ...
Jan Latal   +4 more
doaj   +1 more source

A Comprehensive Study of the Enhanced Distributed Control Access (EDCA) Function [PDF]

open access: yes, 2006
This technical report presents a comprehensive study of the Enhanced Distributed Control Access (EDCA) function defined in IEEE 802.11e. All the three factors are considered.
Hou, Jennifer C., Hu, Chunyu
core  

The HIT Network for Children and Adolescents With CNS Tumors Facilitates Improvements of Diagnostic Assessments, Multimodal Treatments, Individual Counseling, and Research in Germany, Austria, and Switzerland

open access: yesPediatric Blood &Cancer, Volume 73, Issue 5, May 2026.
ABSTRACT Background The HIT network was established in 2000 to create a population‐based structure aiming to improve survival rates and reduce late effects for children with central nervous system (CNS) tumors by conducting comprehensive clinical trials.
Stefan Rutkowski   +59 more
wiley   +1 more source

Robust Linear Precoder Design for Multi-cell Downlink Transmission

open access: yes, 2010
Coordinated information processing by the base stations of multi-cell wireless networks enhances the overall quality of communication in the network. Such coordinations for optimizing any desired network-wide quality of service (QoS) necessitate the base
Prasad, Narayan   +2 more
core   +1 more source

An Overview of Deep Learning Techniques for Big Data IoT Applications

open access: yesInternational Journal of Communication Systems, Volume 39, Issue 4, 10 March 2026.
Reviews deep learning integration with cloud, fog, and edge computing in IoT architectures. Examines model suitability across IoT applications, key challenges, and emerging trends Provides a comparative analysis to guide future deep learning research in IoT environments.
Gagandeep Kaur   +2 more
wiley   +1 more source

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