Results 71 to 80 of about 7,109,793 (234)
Unmanned Aerial Vehicles (UAVs) have become essential tools across various sectors due to their versatility and advanced capabilities in autonomy, perception, and networking. Despite over a decade of experimental efforts in multi-UAV systems, substantial
Ercan Erkalkan, Vedat Topuz, Ali Buldu
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19th European Symposium on Computer Aided Process Engineering /
The 19th European Symposium on Computer Aided Process Engineering contains papers presented at the 19th European Symposium of Computer Aided Process Engineering (ESCAPE 19) held in Cracow, Poland, June 14-17, 2009. The ESCAPE series serves as a forum for
Thullie, Jan. +2 more
core
Two Coexisting Pathways to Volatility in Valence‐Change Memory Devices
Volatile VCM‐type memristive devices exhibit current relaxation after resistive switching, but their microscopic origin remains debated. Using pulsed measurements and a new Tunnel‐DLTS approach on Pt/SrTiO3/Nb:SrTiO3 devices, we show that post‐SET volatility is predominantly ionic, while electronic contributions—arising from quasi‐Fermi‐level ...
Johannes Hellwig +3 more
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This book contains papers presented at the 13th European Symposium on Computer Aided Process Engineering (ESCAPE-13). The ESCAPE symposia bring together scientists, students and engineers from academia and industry, who are active in the research and ...
European Federation of Chemical Engineering.Working Party on Computer Aided Process Engineering. +3 more
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Memristive‐Gated RC‐Delay Synaptic Transistors for Time‐Encoded Analog in‐Memory Computing
A Memristive‐Gated Transistor for Time‐Encoded Analog In‐Memory Computing — By exploiting the RC delay of a self‐rectifying interface‐type memristor, nonlinear I–V distortion is structurally bypassed, enabling 3‐bit nonvolatile memory, spike‐timing‐based analog encoding, and hardware‐calibrated reservoir‐computing validation within a unified device ...
Yun‐Seo Shin +7 more
wiley +1 more source
The physical realization of artificial neurons is a critical challenge for energy‐efficient neuromorphic computing. This review presents a comprehensive analysis of the evolution of artificial neuron implementations from conventional CMOS to emerging post‐CMOS technologies.
Kannan Udaya Mohanan +4 more
wiley +1 more source
A defect‐engineered Ag/Gd2O3:Nb2O5/Pt rare earth composite oxide memristor enables stable multilevel reservoir states through pulse driven conductance modulation. Experimentally measured device responses are incorporated into a device aware reservoir computing framework for CIFAR‐100 image classification, highlighting the potential of rare earth ...
Hammad Ghazanfar +9 more
wiley +1 more source
Inspired by skeletal muscles’ precision and endurance, CoilLCE integrates a self‐sensing liquid crystal elastomer/graphene artificial muscle with an embedded Joule‐heating copper coil, enabling closed‐loop multistage actuation with programmable intermediate states (strain accuracy of 2%), and antagonistic coordination (32% total strain). These features
Ziyun Zhang +9 more
wiley +1 more source
A hybrid additive manufacturing platform integrates direct droplet writing of metallic composite with VAT photopolymerization to fabricate architected soft magnetic composites. This approach enables microscale patterning of high‐viscosity materials for programmable actuators, adaptive fluidic devices, and switchable adhesives, offering tunable ...
Yeowon Yoon +4 more
wiley +1 more source
Mitigating students’ reliance on generative AI in computer engineering education: a case study
The rapid evolution of artificial intelligence (AI) has a significant impact on teaching and learning, particularly with large language models (LLMs). LLMs were developed in the electronics and computer engineering sector, complicating the delivery of ...
Tee Hui Teo, Maoyang Xiang
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