Results 101 to 110 of about 448,451 (289)
Advanced Electronic Materials, EarlyView.In this work, low‐resolution infrared imaging is combined with a 28 nm FeFET IMC architecture to enable compact, energy‐efficient edge inference. MLC FeFET devices are experimentally characterized, and controlled multi‐level current accumulation is validated at crossbar array level.
Alptekin Vardar +9 more
wiley +1 more source
Advanced Electronic Materials, EarlyView.Selector integration enables scalable memristor crossbar arrays by suppressing sneak‐path currents and improving array selectivity. This review summarizes integration strategies, device requirements, challenges, and opportunities for high‐density memory, compute‐in‐memory, and neuromorphic computing systems.
Zohreh Hajiabadi +3 more
wiley +1 more source
Scientific ReportsInterval-valued picture fuzzy (IVPF) set is an extension of the picture fuzzy set theory used to represent uncertainty and vagueness in the processes of decision-making.
Muhammad Azeem +3 more
doaj +1 more source
IEEE AccessIn many real-world applications, data are described by high-dimensional feature spaces, posing new challenges for current ensemble clustering methods.
Ines Lahmar +4 more
doaj +1 more source
Improving the fuzzy system performance by fuzzy system ensemble
, 2019 This paper proposes a fuzzy system ensemble (FSE) that can improve the system performance in non-linear and complex problems. Each fuzzy system in the FSE is built from two design stages, each stage of which is performed by different genetic algorithms ...
D, Kim
core +1 more source
Advancing Energy Materials by In Situ Atomic Scale Methods
Advanced Energy Materials, Volume 15, Issue 11, March 18, 2025.Progress in in situ atomic scale methods leads to an improved understanding of new and advanced energy materials, where a local understanding of complex, inhomogeneous systems or interfaces down to the atomic scale and quantum level is required. Topics from photovoltaics, dissipation losses, phase transitions, and chemical energy conversion are ...
Christian Jooss +21 more
wiley +1 more source
A group decision making-based parallel multi-label feature selection for big data applications
Journal of King Saud University: Computer and Information SciencesExtracting knowledge from data is challenging in real-world scenarios. Particularly in big data learning, the volume of the data is a significant challenge. Therefore, scalable feature selection algorithms are essential for datasets of this scale.
S. S. Mohanrasu +2 more
doaj +1 more source
BEHAVIOR BASED CONTROL AND FUZZY Q-LEARNING FOR AUTONOMOUS FIVE LEGS ROBOT NAVIGATION [PDF]
, 2009 This paper presents collaboration of behavior based control and fuzzy Q-learning for five legs robot navigation systems. There are many fuzzy Q-learning algorithms that have been proposed to yield individual behavior like obstacle avoidance, find target ...
Adil, Ratna
core
Model predictive control with inline parameter adaptation for direct crystal growth rate regulation
AIChE Journal, EarlyView.Abstract In batch cooling crystallization, many interactive factors, including supersaturation, reactor dimensions, and operating conditions, govern crystal growth and significantly influence product properties. Variables such as temperature or refractive index are used as surrogate control variables but have limitations in capturing growth rate ...
Huitian Yu, Jiewen Zhao, Heiko Briesen
wiley +1 more source
Designing a successful trading agent using fuzzy techniques
, 2004 Software agents are increasingly being used to represent humans in on-line auctions. Such agents have the advantages of being able to systematically monitor a wide variety of auctions and then make rapid decisions about what bids to place in what ...
He, M. +3 more
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