Results 51 to 60 of about 8,931 (261)
IEEE Access, 2018 Research on the uncertainty of wind power has a significant influence on power system planning and decision-making. This paper proposes a novel method for wind power interval forecasting based on rough sets theory, weighted Markov chain, and kernel ...
Xiyun Yang +3 more
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Advanced Functional Materials, EarlyView.Autonomous scanning probe microscopy and multi‐objective Bayesian optimization navigate a ternary (Al,Sc,B)N combinatorial library. Registered photoluminescence, electron‐probe compositional mapping, and X‐ray diffraction connect local electromechanical function to defect‐sensitive emission, composition, and crystal structure.
Yu Liu +12 more
wiley +1 more source
Fuzzy kernel feature selection with multi-objective differential evolution algorithm
Connection Science, 2019 In this paper, we propose a multi-objective differential evolution-based filter approach for feature selection that interconnects fuzzy- and kernel-based information theory measures to find feature subsets that are optimal responses to the targets.
Emrah Hancer
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NOVEL SEGMENTATION AND CLASSIFICATION TECHNIQUES FOR MRI BRAIN TUMOR IMAGES [PDF]
ICTACT Journal on Image and Video Processing, 2019 Medical image process is that the most difficult and rising field these days. To solve various problems in medical imaging such as medical image segmentation, object extraction and image classification etc.
M P Abinaya, S I Padma
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Kernel-based fuzzy-rough nearest neighbour classification [PDF]
2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011), 2011 Fuzzy-rough sets play an important role in dealing with imprecision and uncertainty for discrete and real-valued or noisy data. However, there are some problems associated with the approach from both theoretical and practical viewpoints. These problems have motivated the hybridisation of fuzzy-rough sets with kernel methods.
Yanpeng Qu +4 more
openaire +2 more sources
Advanced Functional Materials, EarlyView.This work presents a closed‐loop optimization workflow integrating CatBot, an automated synthesis and testing system, to discover NiMo hydrogen‐evolution catalysts. CatBot synthesised and evaluated 228 unique samples, identifying the best performing catalysts for transfer to nickel‐foam electrodes. The best candidate is highly active, reaching 1 Acm−2${
Paolo Vincenzo Freiesleben de Blasio +7 more
wiley +1 more source
La genèse architecturale de l’église de la Trinité de Fécamp
Tabularia, 2002 The Church of the Holy Trinity in Fécamp, constructed in three major phases between the eleventh and the fourteenth century, stands where Richard I built a collegiate church in 990.
Katrin Brockhaus
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XTRUDE: A Process‐Informed Framework for High‐Fidelity Analysis of Hydrogel Extrusion
Advanced Functional Materials, EarlyView.Extrusion performance emerges from the interplay between material properties and processing conditions. XTRUDE (eXTrusion Rheology for Understanding and Defining Extrudability) recreates the extrusion environment with in situ pressure and temperature sensing, enabling characteristic pressure signatures to quantify extrusion‐specific phenomena and ...
Farhad Sanaei +4 more
wiley +1 more source
Advanced Materials, EarlyView.The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj +8 more
wiley +1 more source
Drag prediction of rough-wall turbulent flow using data-driven regression
FlowEfficient tools for predicting the drag of rough walls in turbulent flows would have a tremendous impact. However, accurate methods for drag prediction rely on experiments or numerical simulations which are costly and time consuming.
Zhaoyu Shi +5 more
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