Results 51 to 60 of about 1,774 (135)
Predictive processing's flirt with transcendental idealism
Noûs, Volume 60, Issue 1, Page 87-109, March 2026.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
Sensors, 2019 Multi-sensor data fusion technology in an important tool in building decision-making applications. Modified Dempster−Shafer (DS) evidence theory can handle conflicting sensor inputs and can be applied without any prior information.
Md Nazmuzzaman Khan, Sohel Anwar
doaj +1 more source
Features of the application of the dumpster-shafer theory when adopting management decisions in construction operations [PDF]
E3S Web of Conferences, 2019 The article discusses the features of the application of the Dempster-Shafer theory in the management and planning of construction operations. An example of expert evaluation is given, the most possible reasons for the delay of construction and ...
Pogodin Denis +2 more
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Omni Geometry Representation Learning Versus Large Language Models for Geospatial Entity Resolution
Transactions in GIS, Volume 30, Issue 1, February 2026.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
Energies, 2020 To effectively predict the rolling bearing fault under different working conditions, a rolling bearing fault prediction method based on quantum particle swarm optimization (QPSO) backpropagation (BP) neural network and Dempster−Shafer evidence ...
Lanjun Wan +3 more
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Rare Metals, Volume 45, Issue 1, January 2026.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
Systems Engineering, Volume 29, Issue 1, Page 99-113, January 2026.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
Fault detection in an engine by fusing information from multivibration sensors
International Journal of Distributed Sensor Networks, 2017 Fault detection based on the vibration signal of an engine is an effective non-disassembly method for engine diagnosis because a vibration signal includes a lot of information about the condition of the engine.
Ruili Zeng +4 more
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Multimodal Sentiment Recognition via Residual‐Contraction Convolution and Cross‐Attention
IET Image Processing, Volume 20, Issue 1, January/December 2026.We propose a structured fusion‐based multimodal emotion recognition (SF‐MER) method to enhance emotion recognition capabilities. SF‐MER extracts EEG and facial expression features separately, classifies them using independent classifiers and fuses the classification results to generate the final emotion category.
Fang Liu, Simiao Jiang, Ningxi Su
wiley +1 more source
IET Intelligent Transport Systems, Volume 20, Issue 1, January/December 2026.A multi‐layer information fusion framework for proactive traffic congestion detection in V2V scenario is proposed; The underlying correlation between vehicle motion characteristics and real‐time traffic states is addressed; The feasibility and priority of the proposed congestion detection model in low CVs penetration rate scenario is validated ...
Tian Lei +5 more
wiley +1 more source