المؤلفون: Chanin Panjapornpon, Thanatip Satjeenphong, Santi Bardeeniz, Mohamed Azlan Hussain

المصدر: Discover Chemical Engineering, Vol 4, Iss 1, Pp 1-21 (2024)

مصطلحات موضوعية: Renewable energy integration, Load management, Artificial intelligence in energy systems, Climate variability, Palm oil industry, Deep Q-learning, Chemical engineering, TP155-156

وصف الملف: electronic resource

Relation: https://doaj.org/toc/2730-7700

URL الوصول: https://doaj.org/article/9fde333811e64ff695d7f7824fb2cb2f

المؤلفون: Imtiyaz Hussain, Uzair Sajjad, Naseem Abbas, Muhammad Sultan, Thangavel Sangeetha, Hafiz Muhammad Ali, Zafar Said, Wei-Mon Yan

المصدر: Alexandria Engineering Journal, Vol 87, Iss , Pp 424-447 (2024)

مصطلحات موضوعية: Humidifier technology, Proton exchange membrane fuel cells, Artificial intelligence in energy systems, Optimization with genetic algorithms, Deep learning applications in renewable energy, Energy efficiency, Engineering (General). Civil engineering (General), TA1-2040

وصف الملف: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S1110016823011250; https://doaj.org/toc/1110-0168

URL الوصول: https://doaj.org/article/013a4f5968464b979076f6c085131946

المؤلفون: Ali Akbar Firoozi, Farzad Hejazi, Ali Asghar Firoozi

المصدر: Energies, Vol 17, Iss 12, p 2919 (2024)

مصطلحات موضوعية: aerodynamic optimization, wind turbine blades, Computational Fluid Dynamics (CFD), renewable energy, material innovation, artificial intelligence in energy, Technology

وصف الملف: electronic resource

Relation: https://www.mdpi.com/1996-1073/17/12/2919; https://doaj.org/toc/1996-1073

URL الوصول: https://doaj.org/article/3bfaafd8513b4c51a0a2ce39316c445f

المؤلفون: Chetna Radke, Sharvari Pakmode, Romit Mendhe, Ayushi Punwatkar, Yash Sattabhayya, Maurya, Manoj

مصطلحات موضوعية: Home energy management, Artificial intelligence, renewable energy, solar energy, energy management, energy saving, energy storage

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8aeed5d892c24a9021f57b2c079cd15d

المؤلفون: Khodabakhshian, A., Rampini, L., Re Cecconi, F.

مصطلحات موضوعية: Artificial Intelligence, Energy saving, Building Retrofit, Decision Support Systems, Clustering, Building Retrofit, Artificial Intelligence, Clustering, Energy saving, Decision Support Systems

URL الوصول: https://explore.openaire.eu/search/publication?articleId=od______3731::abcd2876506f4d787929fb8faf5e7c14
https://hdl.handle.net/11311/1228904

المؤلفون: Zende, Pradnya

المساهمون: Dalir, Hamid

المصدر: Theses and Dissertations Available from ProQuest

مصطلحات موضوعية: Artificial intelligence|Design|Energy|Materials science|Mechanics|Polymer chemistry

Relation: https://docs.lib.purdue.edu/dissertations/AAI30505548

الاتاحة: https://docs.lib.purdue.edu/dissertations/AAI30505548

المؤلفون: Rajabifar, Bahram

المساهمون: Raman, Arvind

المصدر: Theses and Dissertations Available from ProQuest

مصطلحات موضوعية: Mechanics|Analytical chemistry|Artificial intelligence|Chemistry|Energy|Marketing|Materials science|Optics|Polymer chemistry

Relation: https://docs.lib.purdue.edu/dissertations/AAI30504783

الاتاحة: https://docs.lib.purdue.edu/dissertations/AAI30504783

المؤلفون: Chowdhury, Prabudhya Roy

المساهمون: Ruan, Xiulin

المصدر: Theses and Dissertations Available from ProQuest

مصطلحات موضوعية: Artificial intelligence|Design|Energy|Thermodynamics

Relation: https://docs.lib.purdue.edu/dissertations/AAI30504814

الاتاحة: https://docs.lib.purdue.edu/dissertations/AAI30504814

المؤلفون: Singh, Ashutosh

المساهمون: Aggarwal, Vaneet

المصدر: Theses and Dissertations Available from ProQuest

مصطلحات موضوعية: Artificial intelligence|Economics|Energy|Management|Recreation|Statistics|Transportation

Relation: https://docs.lib.purdue.edu/dissertations/AAI30504752

الاتاحة: https://docs.lib.purdue.edu/dissertations/AAI30504752

المؤلفون: Gohil, Karan N

المساهمون: Jain, Neera

المصدر: Theses and Dissertations Available from ProQuest

مصطلحات موضوعية: Artificial intelligence|Design|Energy|Mathematics|Statistics|Thermodynamics

Relation: https://docs.lib.purdue.edu/dissertations/AAI30503315

الاتاحة: https://docs.lib.purdue.edu/dissertations/AAI30503315

المؤلفون: Giambattista Guidi, Sofia Agostinelli, Claudio Tomazzoli, Fabrizio Cumo

مصطلحات موضوعية: Heat pumps, High energy, Architectural engineering, Artificial intelligence, Energy management, Computer science, 020209 energy, Buildings , Heat pumps , Air conditioning , Artificial intelligence , Renewable energy sources , Europe, 02 engineering and technology, 010501 environmental sciences, 01 natural sciences, Renewable energy sources, 0202 electrical engineering, electronic engineering, information engineering, Buildings, 0105 earth and related environmental sciences, Zero-energy building, Apartment, business.industry, Automation, Renewable energy, Europe, Air conditioning, artificial intelligence, digital Twin, building Information, modeling (BIM), geographic information systems (GIS), business, Energy (signal processing)

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::90d2883d1bb973f1ad2f04e20691896c
http://hdl.handle.net/11573/1458287

المؤلفون: Shin, Hyunjun

المساهمون: Bolton, J. Stuart

المصدر: Theses and Dissertations Available from ProQuest

مصطلحات موضوعية: Acoustics|Artificial intelligence|Design|Energy|Materials science|Packaging

Relation: https://docs.lib.purdue.edu/dissertations/AAI30502376

الاتاحة: https://docs.lib.purdue.edu/dissertations/AAI30502376

المؤلفون: Daniele Ielmini, Cristian Zambelli, Ch. Wenger, Piero Olivo, Valerio Milo, Eduardo Perez, Oscar G. Ossorio

المصدر: ESSDERC 2019-49th European Solid-State Device Research Conference (ESSDERC)
ESSDERC
UVaDOC. Repositorio Documental de la Universidad de Valladolid
instname
UVaDOC: Repositorio Documental de la Universidad de Valladolid
Universidad de Valladolid

مصطلحات موضوعية: Resistive RAM memory (RRAM), Computer science, neural network, Graphics processing unit, 02 engineering and technology, 01 natural sciences, NO, Software, In-Memory Processing, in-memory computing, Machine learning, 0103 physical sciences, PE7_2, PE7_5, Aprendizaje automatizado, Red neuronal, energy efficiency, 010302 applied physics, Artificial neural network, business.industry, 021001 nanoscience & nanotechnology, artificial intelligence, resistive switching memory (RRAM), Neural network, Phase-change memory, backpropagation, machine learning, Computer architecture, artificial intelligence, backpropagation, energy efficiency, in-memory computing, machine learning, neural network, resistive switching memory (RRAM), 1203.04 Inteligencia Artificial, Memoria RAM resistiva (RRAM), Feedforward neural network, 0210 nano-technology, business, MNIST database, Efficient energy use

وصف الملف: application/pdf

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::87572b1fe851c8b9c06f9b1bed2d7c46
http://hdl.handle.net/11311/1127733

المؤلفون: A. Radovic, A. Himmel, T. Wongjirad, Adam Aurisano, Daniele Bonacorsi, Michael Williams, Michael Kagan, Kazuhiro Terao, David Rousseau

المساهمون: Laboratoire de l'Accélérateur Linéaire (LAL), Université Paris-Sud - Paris 11 (UP11)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Radovic A., Williams M., Rousseau D., Kagan M., Bonacorsi D., Himmel A., Aurisano A., Terao K., Wongjirad T.

المصدر: Nature
Nature, 2018, 560 (7716), pp.41-48. ⟨10.1038/s41586-018-0361-2⟩

مصطلحات موضوعية: Particle physics, data analysis method, energy: high, Multidisciplinary, Field (physics), 010308 nuclear & particles physics, Computer science, business.industry, Elementary particle, Machine learning, computer.software_genre, 01 natural sciences, programming, Standard Model, statistical analysis, 0103 physical sciences, [PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex], [INFO]Computer Science [cs], Artificial intelligence, 010306 general physics, business, computer, Intensity (heat transfer), Energy (signal processing), Machine Learning, Deep Learning, Artificial Intelligence, High-Energy Physics

وصف الملف: ELETTRONICO

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2d35ae672c77673d869198b9d7a2990a
https://hal.archives-ouvertes.fr/hal-01861984

المؤلفون: Sodhro, Ali Hassan, Gurtov, Andrei, Zahid, Noman, Pirbhulal, Sandeep, Wang, Lei, Rahman, Muhammad Mahboob Ur, Imran, Muhammad Ali, Abbasi, Qammer H.

مصطلحات الفهرس: Streaming media; Optimization; Internet of Things; Quality of service; Encoding; Receivers; Artificial intelligence; Cloud based; convergence artificial intelligence (AI); energy-efficient communication; Internet of Things (IoT); lazy video transmission algorithm (LVTA); smart homes; video streaming; video transmission rate control algorithm (VTRCA); wireless micro medical devices (WMMDs), Communication Systems, Kommunikationssystem, Article in journal, info:eu-repo/semantics/article, text

URL: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-177852
IEEE Internet of Things Journal, 2327-4662, 2021, 8:12, s. 9664-9671

Additional Titles: An efficient intelligent algorithm based on WSNs of the drug control system

المؤلفون: Zhenjun Luo, Luo Zhong, Yingjiang Zhang, Yongfei Miao, Tianming Ding

المصدر: Tehnički vjesnik; ISSN 1330-3651 (Print); ISSN 1848-6339 (Online); Volume 24; Issue 1

مصطلحات الفهرس: algoritam umjetne inteligencije; energetski učinkovit; IoT (Internet stvari); sustav za reguliranje droge (feromon); WSNs (bežične senzorske mreže), artificial intelligence algorithm; energy efficient; IoT (Internet of Things); the drug control system; WSNs (Wireless Sensor Networks), text, info:eu-repo/semantics/article, info:eu-repo/semantics/publishedVersion

URL: https://hrcak.srce.hr/174735
https://hrcak.srce.hr/file/257889
https://hrcak.srce.hr/file/257888
info:eu-repo/semantics/altIdentifier/doi/10.17559/TV-20160517080419