Results 51 to 60 of about 1,375 (136)
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
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
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
IET Energy Systems Integration, Volume 8, Issue 1, January/December 2026.ABSTRACT This study proposes an intelligent scheduling factor‐incorporated optimisation method for energy flow dispatch in integrated energy systems. The methodology innovatively integrates CNN‐based high‐precision load forecasting with D–S evidence theory.
Anan Zhang +4 more
wiley +1 more source
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
Using the Dempster-Shafer Theory of Evidence to Rank Documents
Tsinghua Science and Technology, 2012 Multi-source information can be utilized collaboratively to improve the performance of information retrieval. To make full use of the document and collection information, this paper introduces a new information retrieval model that relies on the Dempster-
Jiuling Zhang, Beixing Deng, Xing Li
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Sensors, 2020 Sensor fusion is a topic central to aerospace engineering and is particularly applicable to unmanned aerial systems (UAS). Evidential Reasoning, also known as Dempster-Shafer theory, is used heavily in sensor fusion for detection classification.
Joel Dunham +3 more
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Dempster-Shafer's Basic Probability Assignment Based on Fuzzy Membership Functions
ELCVIA Electronic Letters on Computer Vision and Image Analysis, 2004 In this paper, an image segmentation method based on Dempster-Shafer evidence theory is proposed. Basic probability assignment (bpa) is estimated in unsupervised way using pixels fuzzy membership degrees derived from image histogram.
Abdel-Ouahab Boudraa +2 more
doaj +1 more source
Comprehensive model development based on Dempster-Shafer evidence theory for pollution source analysis in chemical parks. [PDF]
Heliyon, 2023 Bai X, Yang Y, Tian X, Wen P, Ma Z.
europepmc +1 more source
D-S Evidence Fusion Method Based on High Conflict Correction [PDF]
Jisuanji gongcheng, 2018 Before using D-S(Dempster-Shafer) theory for evidence fusion,the extent of the conflict among evidences should be determined.Aiming at this problem,this paper proposes a conflict measure and correction method based on trust degree and false degree.It ...
MENG Yuanyuan,XU Liancheng,REN Min,WANG Yanfei
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