Results 181 to 190 of about 28,240 (208)

QoS Prediction-based Radio Resource Management

2022 IEEE 96th Vehicular Technology Conference (VTC2022-Fall), 2022
Jose Perdomo, M.A. Gutierrez-Estevez, Apostolos Kousaridas, Chan Zhou, Jose F. Monserrat   +4 more
openaire   +1 more source

NordicDat: A Cross-Border Predictive QoS Dataset

GLOBECOM 2024 - 2024 IEEE Global Communications Conference
The advent of 5G and beyond systems is expected to shape the automotive vertical, as safety-critical vehicular applications rely on the network to meet their stringent Quality of Service (QoS) requirements. Predictive QoS (pQoS) has been proposed as a mechanism that allows automotive applications to proactively adapt in view of forthcoming QoS changes.
Miekkala, Topi, Pyykönen, Pasi, Drainakis, Georgios, Pantazopoulos, Panagiotis, Muller, Tobias, Katsaros, Konstantinos, Sourlas, Vasilis, Amditis, Angelos, Kaklamani, Dimitra   +8 more
openaire   +1 more source

Model-Based QoS Prediction of Web Services

2012
The neighborhood-based QoS prediction approach has several drawbacks, including (1) the computation complexity is too high and (2) it is not easy to find similar users/items when the user-item matrix is very sparse. To address these drawbacks, this chapter proposes a neighborhood-integrated matrix factorization (NIMF) approach for Web service QoS value
Zibin Zheng, Michael R. Lyu
openaire   +1 more source

Predicting Location-Dependent QoS for Wireless Networks

2005
In wireless networks the quality of service (QoS) delivered to an end user will be a complex function of location and time. “QoS Seeker” is a new system which informs a user what location in the wireless network he should move to in order deliver the required QoS for his real-time applications.
Robert A. Malaney, Ernesto Exposito, Xun Wei, Dao Trong Nghia   +3 more
openaire   +1 more source

Web Service QoS Prediction Approach

Journal of Software, 2009
Ling-Shuang SHAO, Li ZHOU, Jun-Feng ZHAO, Bing XIE, Hong MEI   +4 more
openaire   +1 more source

Neighborhood-Based QoS Prediction of Web Services

2012
To accurately predict the Web service QoS values, this chapter proposes a neighborhood-based collaborative filtering approach for predicting the QoS values for the current user by employing historical Web service QoS data from other similar users. The proposed approach systematically combines the user-based approach and the item-based approach.
Zibin Zheng, Michael R. Lyu
openaire   +1 more source

Integrative oncology: Addressing the global challenges of cancer prevention and treatment

Ca-A Cancer Journal for Clinicians, 2022
Jun J Mao,, Msce, Lorenzo Cohen, Karen M Mustian   +2 more
exaly  

Obesity and adverse breast cancer risk and outcome: Mechanistic insights and strategies for intervention

Ca-A Cancer Journal for Clinicians, 2017
Cynthia Morata-Tarifa, Joyce M Slingerland   +1 more
exaly  

Multidisciplinary standards of care and recent progress in pancreatic ductal adenocarcinoma

Ca-A Cancer Journal for Clinicians, 2020
Aaron J Grossberg, William L Hwang, Anirban Maitra   +2 more
exaly  

Oral complications of cancer and cancer therapy

Ca-A Cancer Journal for Clinicians, 2012
Joel B Epstein, Rene-Jean Bensadoun, Andrei Barasch   +2 more
exaly