Results 21 to 30 of about 9,780 (156)
Blockchain and Digital Technologies in the Telecommunications Industry
ABSTRACT This article examines how fourth industrial revolution (4IR) technologies, specifically blockchain and digital twin technologies, can be utilized to address the energy supply challenge and enhance the management of distributed telecom infrastructure assets in a research context.
Charles Okeyia +3 more
wiley +1 more source
Assessing forensic evidence by computing belief functions
We first discuss certain problems with the classical probabilistic approach for assessing forensic evidence, in particular its inability to distinguish between lack of belief and disbelief, and its inability to model complete ignorance within a given ...
Kerkvliet, Timber, Meester, Ronald
core +1 more source
Predictive processing's flirt with transcendental idealism
Abstract The popular predictive processing (PP) framework posits prediction error minimization (PEM) as the sole mechanism in the brain that can account for all mental phenomena, including consciousness. I first highlight three ambitions associated with major presentations of PP: (1) Completeness (PP aims for a comprehensive account of mental phenomena)
Tobias Schlicht
wiley +1 more source
ON THE USE OF THE DEMPSTER SHAFER MODEL IN INFORMATION INDEXING AND RETRIEVAL APPLICATIONS [PDF]
The Dempster Shafer theory of evidence concerns the elicitation and manipulation of degrees of belief rendered by multiple sources of evidence to a common set of propositions.
Hummel, Robert A., Schocken, Shimon
core +1 more source
Omni Geometry Representation Learning Versus Large Language Models for Geospatial Entity Resolution
ABSTRACT The development, integration, and maintenance of geospatial databases rely heavily on efficient and accurate matching procedures of Geospatial Entity Resolution (ER). While resolution of points‐of‐interest (POIs) has been widely addressed, resolution of entities with diverse geometries has been largely overlooked.
Kalana Wijegunarathna +2 more
wiley +1 more source
A Neighborhood Rough Classification with Dempster-Shafer Evidence Theory
In order to further improve the classification mechanism and the performance of neighborhood classifier, a Dempster-Shafer(D-S) evidence-driven neighborhood rough classification method is proposed. Firstly, in attribute reduction, the error rate of neighborhood decision is used as the index of attribute significance, and the attribute reduction method ...
JU Hengrong +4 more
openaire +1 more source
ABSTRACT High‐entropy alloys (HEAs) have emerged as a transformative class of materials distinguished by their complex chemical compositions, unique microstructures, and remarkable mechanical and functional properties. Traditionally, the discovery and optimization of HEAs have relied on conventional methods, including trial‐and‐error experimentation ...
Chrispin Ouko Zamzu +2 more
wiley +1 more source
Assessing the Usefulness of Assurance Cases: Experience With the Large Hadron Collider
ABSTRACT Assurance cases (ACs) are structured arguments designed to show that a system is sufficiently reliable to function properly in its operational environment. They are mandated by safety standards and are largely used in industry to support risk management for systems; however, ACs often contain proprietary information and are not publicly ...
Torin Viger +7 more
wiley +1 more source
Partial Discharge Pattern Recognition Based on Time‐Frequency Multi‐Scale Residual Attention Network
A time‐frequency multi‐scale residual attention network (TFMRAnet) was designed to analyze partial discharge (PD) signals. The network comprises an adaptive denoising network based on multi‐scale residual attention, a frequency‐domain recognition network, and a decision fusion module based on Dempster‐Shafer (D‐S) evidence theory.
Yunguang Gao +4 more
wiley +1 more source
Multidimensional Topological Measure Spaces and Their Applications in Decision‐Making Problems
This paper presents a generalized framework termed the multidimensional topological measure space (MDTMS), developed through multidimensional fuzzy sets, multidimensional topology, and an associated distance measure. The suggested framework enhances traditional fuzzy models by facilitating a more nuanced representation and examination of intricate ...
Jomal Josen +3 more
wiley +1 more source

