Results 41 to 50 of about 13,518,769 (291)

Regulatory incentives and financial reporting quality in public healthcare organisations [PDF]

, 2017
English National Health Service Foundation Trusts are subject to a regulatory regime in which the level of monitoring and intervention is determined by performance against two key performance metrics: a ‘financial risk rating’, based on a number of ...
Baylis, Richard M., Greenwood, Margaret J., Tao, Lei   +2 more
core   +4 more sources

Reactivity to sustainability metrics: A configurational study of motivation and capacity [PDF]

, 2020
Previous research on reactivity – defined as changing organisational behaviour to better conform to the criteria of measurement in response to being measured – has found significant variation in company responses towards sustainability metrics.
Crilly, D., Gond, J-P., Slager, R.
core   +3 more sources

Pragmatic Study of Botnet Attack Detection In An IoT Environment [PDF]

E3S Web of Conferences
A comprehensive search for primary research published between 2014 and 2023 was carried across several databases. Studies that describe the application of machine learning (ML) and deep learning techniques for if they was carried out across several ...
Vennapureddy Rajasree, Srinivasulu T.
doaj   +1 more source

On using Multiple Quality Link Metrics with Destination Sequenced Distance Vector Protocol for Wireless Multi-Hop Networks

, 2012
In this paper, we compare and analyze performance of five quality link metrics forWireless Multi-hop Networks (WMhNs). The metrics are based on loss probability measurements; ETX, ETT, InvETX, ML and MD, in a distance vector routing protocol; DSDV. Among
Bibi, A., Djouani, K., Javaid, N., Khan, Z. A.   +3 more
core   +1 more source

The Locus Algorithm IV: Performance metrics of a grid computing system used to create catalogues of optimised pointings [PDF]

, 2020
This paper discusses the requirements for and performance metrics of the the Grid Computing system used to implement the Locus Algorithm to identify optimum pointings for differential photometry of 61,662,376 stars and 23,779 quasars. Initial operational
Creaner, Oisín, Hickey, Eugene, Nolan, Kevin, Walsh, John   +3 more
core   +1 more source

Improved Classification of Blockchain Transactions Using Feature Engineering and Ensemble Learning

Future Internet, 2021
Although the blockchain technology is gaining a widespread adoption across multiple sectors, its most popular application is in cryptocurrency. The decentralized and anonymous nature of transactions in a cryptocurrency blockchain has attracted a ...
Chandrashekar Jatoth, Rishabh Jain, Ugo Fiore, Subrahmanyam Chatharasupalli   +3 more
doaj   +1 more source

Examining the Performance of Fog-Aided, Cloud-Centered IoT in a Real-World Environment

Sensors, 2021
The fog layer provides substantial benefits in cloud-based IoT applications because it can serve as an aggregation layer and it moves the computation resources nearer to the IoT devices; however, it is important to ensure adequate performance is achieved
Mohammed A. Aleisa, Abdullah Abuhussein, Faisal S. Alsubaei, Frederick T. Sheldon   +3 more
doaj   +1 more source

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, EarlyView.
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

PERFORMANCE COMPARISON OF CLASSICAL ALGORITHMS AND DEEP NEURAL NETWORKS FOR TUBERCULOSIS PREDICTION

Techno Nusa Mandiri: Journal of Computing and Information Technology
This study compares the performance of several classical machine learning algorithms and deep neural networks for the prediction of tuberculosis in the Democratic Republic of Congo (DRC), using a sample of 1000 cases including clinical and demographic ...
Gilgen Mate Landry, Rodolphe Nsimba Malumba, Fiston Chrisnovi Balanganayi Kabutakapua, Bopatriciat Boluma Mangata   +3 more
doaj   +1 more source

New Detection Paradigms to Improve Wireless Sensor Network Performance under Jamming Attacks

Sensors, 2019
In this work, two new self-tuning collaborative-based mechanisms for jamming detection are proposed. These techniques are named (i) Connected Mechanism and (ii) Extended Mechanism.
Carolina Del-Valle-Soto, Carlos Mex-Perera, Ivan Aldaya, Fernando Lezama, Juan Arturo Nolazco-Flores, Raul Monroy   +5 more
doaj   +1 more source