Results 31 to 40 of about 1,287 (133)
Estimation of Driver Lane Change Intention Based on the LSTM and Dempster–Shafer Evidence Theory
Journal of Advanced Transportation, 2021 Rapid and correct estimation of driver lane change intention plays an important role in the advanced driver assistance system (ADAS), which could make the driver improve the reliability of the ADAS system and help to decrease driver workload.
Zhi-Qiang Liu +2 more
doaj +1 more source
Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 2, April 2026.Abstract Lithological mapping is essential for the exploration of critical minerals supporting energy transition and national defense. Although recent advancements have incorporated multi‐source data sets and leveraged machine learning and deep learning (DL) methods, lithological mapping continues to face significant challenges, such as data imbalance,
Liang Ding +3 more
wiley +1 more source
International Journal of Mechanical System Dynamics, Volume 6, Issue 1, Page 140-152, March 2026.ABSTRACT Modern engineering systems require advanced uncertainty‐aware model updating methods that address parameter correlations beyond conventional interval analysis. This paper proposes a novel framework integrating Riemannian manifold theory with Gaussian Process Regression (GPR) for systems governed by Symmetric Positive‐Definite (SPD) matrix ...
Yanhe Tao +3 more
wiley +1 more source
Blockchain and Digital Technologies in the Telecommunications Industry
Thunderbird International Business Review, Volume 68, Issue 2, Page 139-163, March/April 2026.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
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
Entropy, 2021 The multi-agent information fusion (MAIF) system can alleviate the limitations of a single expert system in dealing with complex situations, as it allows multiple agents to cooperate in order to solve problems in complex environments.
Jingyu Liu, Yongchuan Tang
doaj +1 more source
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
Navigation risk assessment scheme based on fuzzy Dempster–Shafer evidence theory
International Journal of Advanced Robotic Systems, 2018 In order to reduce the influence of subjective factors on navigation risk assessment, we present a novel scheme based on the fuzzy Dempster–Shafer evidence theory in this article.
Bo Li
doaj +1 more source
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
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
doaj +1 more source