Results 81 to 90 of about 1,932,659 (344)

Tailoring the atomic structure of graphene nanoribbons by STM lithography

, 2008
The practical realization of nano-scale electronics faces two major challenges: the precise engineering of the building blocks and their assembly into functional circuits.
A Knoll, AA Tseng, AK Geim, C Berger, C Gomez-Navarro, DA Areshkin, DH Kim, F Miao, Gergely Dobrik, GM Rutter, HA Mizes, J Tersoff, JWG Wildöer, K Keren, KS Novoselov, L Tapasztó, Levente Tapasztó, László P. Biró, M Ishigami, MY Han, P Avouris, P Avouris, Philippe Lambin, Q Yan, RL McCarley, SJ Tans, TR Albrecht, V Barone, V Meunier, Y Yoon, YW Son, Z Chen, Z Yao   +32 more
core   +1 more source

Research Laboratory of Electronics Quarterly progress report, period ending 28 Feb. 1967 [PDF]

General physics, plasma dynamics, engineering, and communication sciences programs at Research Laboratory of ...

core   +1 more source

Novel Cooling Strategy for Electronic Packages: Directly Injected Cooling [PDF]

, 2008
This publication discusses domain integration of various engineering disciplines as an effective methodology to design new and innovative products.
Brok, G.J.H.M., Legtenberg, R., Mannak, J.H., Wits, W.W.   +3 more
core   +1 more source

A project based approach to learning for first year engineering students [PDF]

, 2008
Support for transition from Leaving Certificate and entry to college for 1st year engineering students can be difficult to achieve. This new course offers an innovative project based approach to learning for 1st years with an introduction to design to ...
Corcoran, Brian, Whelan, John
core  

Data‐driven forecasting of ship motions in waves using machine learning and dynamic mode decomposition

International Journal of Adaptive Control and Signal Processing, EarlyView.
Summary Data‐driven forecasting of ship motions in waves is investigated through feedforward and recurrent neural networks as well as dynamic mode decomposition. The goal is to predict future ship motion variables based on past data collected on the field, using equation‐free approaches.
Matteo Diez, Mauro Gaggero, Andrea Serani   +2 more
wiley   +1 more source

Guest Editor's View

CLEI Electronic Journal, 2018
In this special issue of CLEI Electronic Journal, we present selected papers from the First Iberoamerican Conference on Software Engineering and Knowledge Engineering (ICSEKE 2001).
Juan Carlos Augusto, Silvia Teresita Acuña   +1 more
doaj   +1 more source

A Q‐Learning Algorithm to Solve the Two‐Player Zero‐Sum Game Problem for Nonlinear Systems

International Journal of Adaptive Control and Signal Processing, Volume 39, Issue 3, Page 566-581, March 2025.
A Q‐learning algorithm to solve the two‐player zero‐sum game problem for nonlinear systems. ABSTRACT This paper deals with the two‐player zero‐sum game problem, which is a bounded L2$$ {L}_2 $$‐gain robust control problem. Finding an analytical solution to the complex Hamilton‐Jacobi‐Issacs (HJI) equation is a challenging task.
Afreen Islam, Anthony Siming Chen, Guido Herrmann   +2 more
wiley   +1 more source

Oxide Heterostructures from a Realistic Many-Body Perspective

, 2018
Oxide heterostructures are a new class of materials by design, that open the possibility for engineering challenging electronic properties, in particular correlation effects beyond an effective single-particle description.
A Brinkman, A Georges, A Georges, A Ohtomo, A Ohtomo, A Rüegg, AF Santander-Syro, AI Lichtenstein, B Amadon, B Keimer, CA Jackson, D Grieger, E Mikheev, F Lechermann, F Lechermann, F Lechermann, F Lechermann, F Lechermann, G Berner, G Kotliar, G Sclauzero, H Ishida, H Tanaka, HY Hwang, J Chakhalian, J Minár, JG Bednorz, JN Eckstein, L Si, LV Pourovskii, M Behrmann, M Imada, M Potthoff, M Salluzzo, MJ Han, N Marzari, N Nakagawa, N Pavlenko, N Reyren, NF Mott, OK Andersen, P Hansmann, P Seth, P Zubko, PB Marshall, S McKeown Walker, S Okamoto, S Stemmer, SY Savrasov, T Li, VI Anisimov, VI Anisimov, W Meevasana, W Metzner, YZ Chen, Z Zhong   +55 more
core   +1 more source

Neural Network Adaptive Control With Long Short‐Term Memory

International Journal of Adaptive Control and Signal Processing, EarlyView.
ABSTRACT In this study, we propose a novel adaptive control architecture that provides dramatically better transient response performance compared to conventional adaptive control methods. This is accomplished by the synergistic employment of a traditional adaptive neural network (ANN) controller and a long short‐term memory (LSTM) network.
Emirhan Inanc, Abdullah Habboush, Yigit Gurses, Yildiray Yildiz, Anuradha M. Annaswamy   +4 more
wiley   +1 more source

INFORMATION ENGINEERING OF ELECTRONIC TEXTBOOKS IN HIGHER EDUCATION

Современная наука и инновации, 2022
The paper discusses the engineering and development of electronic textbook as a tool for training of future specialists. The use of the suggested technology in teaching process of high educational institutions enables successful activity of a learner in ...
Marina Mikhailovna Konovtsova
doaj