Results 61 to 70 of about 28,479 (203)

QoS prediction using EMD-BiLSTM for II-IoT-secure communication systems

Journal of Intelligent Systems
To address the challenges of secure and reliable communication and system quality of service (QoS) prediction in intelligent production lines (IPL) in the Industrial Intelligent Internet of Things (II-IOT) environment, a redundant collaborative security ...
Zeng Yun, Li Xiang
doaj   +1 more source

QoS Collaborative Filtering Recommendation of Web Service Based on Spatial and Temporal Similarity Sensing [PDF]

Jisuanji gongcheng, 2017
In Web service recommendation process,the prediction accuracy of missing Web Quality of Service(QoS) value has important impact for the service recommendation rationality.Therefore,this paper puts forward a novel collaborative filtering recommendation ...
LU Feng,LI Hairong,HAN Yan
doaj   +1 more source

Personalized QoS Prediction for Service Recommendation With a Service-Oriented Tensor Model

IEEE Access, 2019
Quality of Service (QoS) value is usually unknown in service recommendation practice. There are some matrix factorization approaches for predicting the unknown value with a user-service model, which uses a single collaboration with the user's neighbor ...
Lantian Guo, Dejun Mu, Xiaoyan Cai, Gang Tian, Fei Hao   +4 more
doaj   +1 more source

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

Information 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, Bhawana Rathore, Baidyanath Biswas, Xiao Xiao, Rohit Gupta   +4 more
wiley   +1 more source

Differential private collaborative Web services QoS prediction [PDF]

World Wide Web, 2018
Collaborative Web services QoS prediction has proved to be an important tool to estimate accurately personalized QoS experienced by individual users, which is beneficial for a variety of operations in the service ecosystem, such as service selection, composition and recommendation.
Liu, An, Shen, Xindi, Li, Zhixu, Liu, Guanfeng, Xu, Jiajie, Zhao, Lei, Zheng, Kai, Shang, Shuo   +7 more
openaire   +2 more sources

Modeling cloud resources using machine learning [PDF]

, 2013
Cloud computing is a new Internet infrastructure paradigm where management optimization has become a challenge to be solved, as all current management systems are human-driven or ad-hoc automatic systems that must be tuned manually by experts. Management
Berral, Josep Ll., Gavaldà Mestre, Ricard, Torres Viñals, Jordi   +2 more
core   +1 more source

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

WIREs 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, Diego López Abril, Javier Bermejo Higuera, Víctor Gonzalez Llorente, Miguel Angel Sicilia Urbán   +4 more
wiley   +1 more source

Web services QoS prediction via matrix completion with structural noise

Tongxin xuebao, 2015
With the rapid development of service-oriented computing, more and more Web services with the same or similar function are deployed on the Internet. Usually, before selecting the most suitable service, users need to predict QoS of unused services from ...
Lei CHEN, Geng YANG, Zheng-yu CHEN, Fu XIAO, Jian XU   +4 more
doaj   +2 more sources

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

Pediatric 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, Michael C. Frühwald, Gudrun Fleischhack, Stephan Tippelt, Pablo Hernáiz‐Driever, Olaf Witt, Astrid Gnekow, Christof Kramm, Matthias Eyrich, Johannes E. A. Wolf, Hermann Müller, Carsten Friedrich, Uwe R. Kordes, Denise Obrecht‐Sturm, Petra Ketteler, Barbara von Zezschwitz, Pascal Johann, Dominik Sturm, Karoline Nemes, Stefan Schönberger, Till Milde, Brigitte Bison, Monika Warmuth‐Metz, Torsten Pietsch, Ulrich Schüller, Arend Koch, David Capper, Martin Hasselblatt, Christian Thomas, Christian Hagel, Stefan M. Pfister, Felix Sahm, David T. W. Jones, Martin U. Schuhmann, Jürgen Krauss, Pedram Emami, Ahmed El Damaty, Rolf D. Kortmann, Rudolf Schwarz, Jürgen Debus, Mechthild Krause, Fabian Pohl, Holger Ottensmeier, Lisa Bußenius, Katja Baust, Andreas Faldum, Cecile Ronckers, Desiree Grabow, Martin Benesch, Thomas Perwein, Karin Dieckmann, Irene Slavc, Johannes Gojo, Nicolas U. Gerber, André O. von Bueren, Katrin Scheinemann, Gabriele Calaminus, Beate Timmermann, Ulrich‐Wilhelm Thomale, Martin Mynarek   +59 more
wiley   +1 more source

Noncausal predictive video codec offering hierarchical QoS [PDF]

2004 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2004
We present a scalable video coding scheme based on a three dimensional (3D) Gauss Markov random process (GMrp) and replenishment extended vector quantization (VQ). The proposed video codec is capable of offering different quality of service (QoS) in the temporal and spatial domains.
M. Kouras, A. Asif
openaire   +1 more source