Showing posts with label research. Show all posts
Showing posts with label research. Show all posts

Friday, December 15, 2023

Top Searches from “IEEE Xplore Digital Library" - 14th December 2023

 


SN

RESEARCH DOMAIN

RESOURCE

MOST CITED BY PAPERS 1

MOST CITED BY PAPERS 2

1

IMAGE PROCESSING

IEEE XPLORE

J. Deng, W. Dong, R. Socher, L. -J. Li, Kai Li and Li Fei-Fei, "ImageNet: A large-scale hierarchical image database,"

2009 IEEE Conference on Computer Vision and Pattern Recognition, Miami, FL, USA, 2009, pp. 248-255,

doi: 10.1109/CVPR.2009.5206848.

URL: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5206848&isnumber=5206488

C. Szegedy et al., "Going deeper with convolutions," 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Boston, MA, USA, 2015, pp. 1-9, doi: 10.1109/CVPR.2015.7298594.

 

URL: URL: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298594&isnumber=7298593

2

MACHINE LEARNING

IEEE XPLORE

C. Szegedy et al., "Going deeper with convolutions," 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Boston, MA, USA, 2015, pp. 1-9, doi: 10.1109/CVPR.2015.7298594.

URL: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298594&isnumber=7298593

J. D. Hunter, "Matplotlib: A 2D Graphics Environment," in Computing in Science & Engineering, vol. 9, no. 3, pp. 90-95, May-June 2007, doi: 10.1109/MCSE.2007.55.

URL: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4160265&isnumber=4160244

3

DEEP LEARNING

IEEE XPLORE

K. B. Lee and H. S. Shin, "An Application of a Deep Learning Algorithm for Automatic Detection of Unexpected Accidents Under Bad CCTV Monitoring Conditions in Tunnels," 2019 International Conference on Deep Learning and Machine Learning in Emerging Applications (Deep-ML), Istanbul, Turkey, 2019, pp. 7-11, doi: 10.1109/Deep-ML.2019.00010.

URL: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8876906&isnumber=8876888

D. Goularas and S. Kamis, "Evaluation of Deep Learning Techniques in Sentiment Analysis from Twitter Data," 2019 International Conference on Deep Learning and Machine Learning in Emerging Applications (Deep-ML), Istanbul, Turkey, 2019, pp. 12-17, doi: 10.1109/Deep-ML.2019.00011.

URL: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8876896&isnumber=8876888

4

ARTIFICIAL INTELLIGENCE

IEEE XPLORE

J. Canny, "A Computational Approach to Edge Detection," in IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. PAMI-8, no. 6, pp. 679-698, Nov. 1986, doi: 10.1109/TPAMI.1986.4767851.

URL: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4767851&isnumber=4767846

S. G. Mallat, "A theory for multiresolution signal decomposition: the wavelet representation," in IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 11, no. 7, pp. 674-693, July 1989, doi: 10.1109/34.192463.

URL: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=192463&isnumber=4963

5

CLOUD COMPUTING

IEEE XPLORE

J. Deng, W. Dong, R. Socher, L. -J. Li, Kai Li and Li Fei-Fei, "ImageNet: A large-scale hierarchical image database," 2009 IEEE Conference on Computer Vision and Pattern Recognition, Miami, FL, USA, 2009, pp. 248-255, doi: 10.1109/CVPR.2009.5206848.

URL: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5206848&isnumber=5206488

S. G. Mallat, "A theory for multiresolution signal decomposition: the wavelet representation," in IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 11, no. 7, pp. 674-693, July 1989, doi: 10.1109/34.192463.

URL: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=192463&isnumber=4963

6

BIG DATA

IEEE XPLORE

J. Deng, W. Dong, R. Socher, L. -J. Li, Kai Li and Li Fei-Fei, "ImageNet: A large-scale hierarchical image database," 2009 IEEE Conference on Computer Vision and Pattern Recognition, Miami, FL, USA, 2009, pp. 248-255, doi: 10.1109/CVPR.2009.5206848.

URL: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5206848&isnumber=5206488

C. Szegedy et al., "Going deeper with convolutions," 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Boston, MA, USA, 2015, pp. 1-9, doi: 10.1109/CVPR.2015.7298594.

URL: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298594&isnumber=7298593

7

IOT

IEEE XPLORE

A. Al-Fuqaha, M. Guizani, M. Mohammadi, M. Aledhari and M. Ayyash, "Internet of Things: A Survey on Enabling Technologies, Protocols, and Applications," in IEEE Communications Surveys & Tutorials, vol. 17, no. 4, pp. 2347-2376, Fourthquarter 2015, doi: 10.1109/COMST.2015.2444095.

URL: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7123563&isnumber=7331734

W. Shi, J. Cao, Q. Zhang, Y. Li and L. Xu, "Edge Computing: Vision and Challenges," in IEEE Internet of Things Journal, vol. 3, no. 5, pp. 637-646, Oct. 2016, doi: 10.1109/JIOT.2016.2579198.

URL: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7488250&isnumber=7563473

8

VLSI

IEEE XPLORE

P. N. Belhumeur, J. P. Hespanha and D. J. Kriegman, "Eigenfaces vs. Fisherfaces: recognition using class specific linear projection," in IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 19, no. 7, pp. 711-720, July 1997, doi: 10.1109/34.598228.

URL: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=598228&isnumber=13123

P. Perona and J. Malik, "Scale-space and edge detection using anisotropic diffusion," in IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 12, no. 7, pp. 629-639, July 1990, doi: 10.1109/34.56205.

URL: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=56205&isnumber=2032

9

CYBER SECURITY

IEEE XPLORE

A. Al-Fuqaha, M. Guizani, M. Mohammadi, M. Aledhari and M. Ayyash, "Internet of Things: A Survey on Enabling Technologies, Protocols, and Applications," in IEEE Communications Surveys & Tutorials, vol. 17, no. 4, pp. 2347-2376, Fourthquarter 2015, doi: 10.1109/COMST.2015.2444095.

URL: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7123563&isnumber=7331734

E. G. Larsson, O. Edfors, F. Tufvesson and T. L. Marzetta, "Massive MIMO for next generation wireless systems," in IEEE Communications Magazine, vol. 52, no. 2, pp. 186-195, February 2014, doi: 10.1109/MCOM.2014.6736761.

URL: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6736761&isnumber=6736727

10

BLOCKCHAIN

IEEE XPLORE

K. Christidis and M. Devetsikiotis, "Blockchains and Smart Contracts for the Internet of Things," in IEEE Access, vol. 4, pp. 2292-2303, 2016, doi: 10.1109/ACCESS.2016.2566339.

URL: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7467408&isnumber=7419931

W. Saad, M. Bennis and M. Chen, "A Vision of 6G Wireless Systems: Applications, Trends, Technologies, and Open Research Problems," in IEEE Network, vol. 34, no. 3, pp. 134-142, May/June 2020, doi: 10.1109/MNET.001.1900287.

URL: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8869705&isnumber=9105918

11

NOMA

IEEE XPLORE

L. Dai, B. Wang, Y. Yuan, S. Han, I. Chih-lin and Z. Wang, "Non-orthogonal multiple access for 5G: solutions, challenges, opportunities, and future research trends," in IEEE Communications Magazine, vol. 53, no. 9, pp. 74-81, September 2015, doi: 10.1109/MCOM.2015.7263349.

URL: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7263349&isnumber=7263333

Z. Ding, X. Lei, G. K. Karagiannidis, R. Schober, J. Yuan and V. K. Bhargava, "A Survey on Non-Orthogonal Multiple Access for 5G Networks: Research Challenges and Future Trends," in IEEE Journal on Selected Areas in Communications, vol. 35, no. 10, pp. 2181-2195, Oct. 2017, doi: 10.1109/JSAC.2017.2725519.

URL: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7973146&isnumber=8038094

12

WIND TURBINE MONITORING

IEEE XPLORE

J. M. Guerrero, J. C. Vasquez, J. Matas, L. G. de Vicuna and M. Castilla, "Hierarchical Control of Droop-Controlled AC and DC Microgrids—A General Approach Toward Standardization," in IEEE Transactions on Industrial Electronics, vol. 58, no. 1, pp. 158-172, Jan. 2011, doi: 10.1109/TIE.2010.2066534.

URL: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5546958&isnumber=5662271

J. Rocabert, A. Luna, F. Blaabjerg and P. Rodríguez, "Control of Power Converters in AC Microgrids," in IEEE Transactions on Power Electronics, vol. 27, no. 11, pp. 4734-4749, Nov. 2012, doi: 10.1109/TPEL.2012.2199334.

URL: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6200347&isnumber=6222041


Friday, July 21, 2023

Top Searches from “IEEE Xplore Digital Library" - 21st July 2023

 


SN

RESEARCH DOMAIN

RESOURCE

MOST CITED BY PAPERS 1

MOST CITED BY PAPERS 2

1

IMAGE PROCESSING

IEEE XPLORE

S. Ren, K. He, R. Girshick and J. Sun, "Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks," in IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 39, no. 6, pp. 1137-1149, 1 June 2017.
doi: 10.1109/TPAMI.2016.2577031
keywords: {Proposals;Object detection;Convolutional codes;Feature extraction;Search problems;Detectors;Training;Object detection;region proposal;convolutional neural network},
URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7485869&isnumber=7919342

S. J. Pan and Q. Yang, "A Survey on Transfer Learning," in IEEE Transactions on Knowledge and Data Engineering, vol. 22, no. 10, pp. 1345-1359, Oct. 2010.
doi: 10.1109/TKDE.2009.191
keywords: {Machine learning;Training data;Data mining;Knowledge transfer;Space technology;Knowledge engineering;Machine learning algorithms;Labeling;Learning systems;Testing;Transfer learning;survey;machine learning;data mining.},
URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5288526&isnumber=5550977

2

ARTIFICIAL INTELLIGENCE

IEEE XPLORE

L. -C. Chen, G. Papandreou, I. Kokkinos, K. Murphy and A. L. Yuille, "DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs," in IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 40, no. 4, pp. 834-848, 1 April 2018.
doi: 10.1109/TPAMI.2017.2699184
keywords: {Convolution;Image segmentation;Semantics;Image resolution;Computational modeling;Neural networks;Context;Convolutional neural networks;semantic segmentation;atrous convolution;conditional random fields},
URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7913730&isnumber=8306529

V. Badrinarayanan, A. Kendall and R. Cipolla, "SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation," in IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 39, no. 12, pp. 2481-2495, 1 Dec. 2017.
doi: 10.1109/TPAMI.2016.2644615
keywords: {Decoding;Neural networks;Training;Computer architecture;Image segmentation;Semantics;Convolutional codes;Deep convolutional neural networks;semantic pixel-wise segmentation;indoor scenes;road scenes;encoder;decoder;pooling;upsampling},
URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7803544&isnumber=8094206

3

MACHINE LEARNING

IEEE XPLORE

S. Ren, K. He, R. Girshick and J. Sun, "Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks," in IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 39, no. 6, pp. 1137-1149, 1 June 2017.
doi: 10.1109/TPAMI.2016.2577031
keywords: {Proposals;Object detection;Convolutional codes;Feature extraction;Search problems;Detectors;Training;Object detection;region proposal;convolutional neural network},
URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7485869&isnumber=7919342

S. J. Pan and Q. Yang, "A Survey on Transfer Learning," in IEEE Transactions on Knowledge and Data Engineering, vol. 22, no. 10, pp. 1345-1359, Oct. 2010.
doi: 10.1109/TKDE.2009.191
keywords: {Machine learning;Training data;Data mining;Knowledge transfer;Space technology;Knowledge engineering;Machine learning algorithms;Labeling;Learning systems;Testing;Transfer learning;survey;machine learning;data mining.},
URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5288526&isnumber=5550977

4

DEEP LEARNING

IEEE XPLORE

S. Ren, K. He, R. Girshick and J. Sun, "Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks," in IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 39, no. 6, pp. 1137-1149, 1 June 2017.
doi: 10.1109/TPAMI.2016.2577031
keywords: {Proposals;Object detection;Convolutional codes;Feature extraction;Search problems;Detectors;Training;Object detection;region proposal;convolutional neural network},
URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7485869&isnumber=7919342

L. -C. Chen, G. Papandreou, I. Kokkinos, K. Murphy and A. L. Yuille, "DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs," in IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 40, no. 4, pp. 834-848, 1 April 2018.
doi: 10.1109/TPAMI.2017.2699184
keywords: {Convolution;Image segmentation;Semantics;Image resolution;Computational modeling;Neural networks;Context;Convolutional neural networks;semantic segmentation;atrous convolution;conditional random fields},
URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7913730&isnumber=8306529

5

CLOUD COMPUTING

IEEE XPLORE

Y. Bengio, A. Courville and P. Vincent, "Representation Learning: A Review and New Perspectives," in IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 35, no. 8, pp. 1798-1828, Aug. 2013.
doi: 10.1109/TPAMI.2013.50
keywords: {Learning systems;Machine learning;Abstracts;Feature extraction;Manifolds;Neural networks;Speech recognition;Deep learning;representation learning;feature learning;unsupervised learning;Boltzmann machine;autoencoder;neural nets},
URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6472238&isnumber=6541932

J. G. Andrews et al., "What Will 5G Be?," in IEEE Journal on Selected Areas in Communications, vol. 32, no. 6, pp. 1065-1082, June 2014.
doi: 10.1109/JSAC.2014.2328098
keywords: {Special issues and sections;Macrocell networks;Wireless communication;IEEE 802.11 Standards;Energy efficiency;Bandwidth;Millimeter wave technology;MIMO;Mobile communication;Cellular systems;energy efficiency;HetNets;massive MIMO;millimeter wave;small cells},
URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6824752&isnumber=6862080

6

BIG DATA

IEEE XPLORE

S. J. Pan and Q. Yang, "A Survey on Transfer Learning," in IEEE Transactions on Knowledge and Data Engineering, vol. 22, no. 10, pp. 1345-1359, Oct. 2010.
doi: 10.1109/TKDE.2009.191
keywords: {Machine learning;Training data;Data mining;Knowledge transfer;Space technology;Knowledge engineering;Machine learning algorithms;Labeling;Learning systems;Testing;Transfer learning;survey;machine learning;data mining.},
URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5288526&isnumber=5550977

V. Badrinarayanan, A. Kendall and R. Cipolla, "SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation," in IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 39, no. 12, pp. 2481-2495, 1 Dec. 2017.
doi: 10.1109/TPAMI.2016.2644615
keywords: {Decoding;Neural networks;Training;Computer architecture;Image segmentation;Semantics;Convolutional codes;Deep convolutional neural networks;semantic pixel-wise segmentation;indoor scenes;road scenes;encoder;decoder;pooling;upsampling},
URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7803544&isnumber=8094206

7

VLSI

IEEE XPLORE

I. Tal and A. Vardy, "List Decoding of Polar Codes," in IEEE Transactions on Information Theory, vol. 61, no. 5, pp. 2213-2226, May 2015.
doi: 10.1109/TIT.2015.2410251
keywords: {Maximum likelihood decoding;Arrays;Complexity theory;Parity check codes;Vectors;Bit error rate;List decoding;polar codes;successive cancellation decoding;List decoding;polar codes;successive cancellation decoding},
URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7055304&isnumber=7088688

C. -C. Liu, S. -J. Chang, G. -Y. Huang and Y. -Z. Lin, "A 10-bit 50-MS/s SAR ADC With a Monotonic Capacitor Switching Procedure," in IEEE Journal of Solid-State Circuits, vol. 45, no. 4, pp. 731-740, April 2010.
doi: 10.1109/JSSC.2010.2042254
keywords: {Capacitors;CMOS technology;Capacitance;Voltage;Power dissipation;Energy consumption;Analog-digital conversion;Energy efficiency;Sampling methods;CMOS process;Analog-to-digital converter;energy efficient;low power;successive approximation register},
URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5437496&isnumber=5437471

8

IOT

IEEE XPLORE

A. Al-Fuqaha, M. Guizani, M. Mohammadi, M. Aledhari and M. Ayyash, "Internet of Things: A Survey on Enabling Technologies, Protocols, and Applications," in IEEE Communications Surveys & Tutorials, vol. 17, no. 4, pp. 2347-2376, Fourthquarter 2015.
doi: 10.1109/COMST.2015.2444095
keywords: {Internet of things;Computer architecture;Radiofrequency identification;Intelligent sensors;Mobile communication;Internet of things;IoT;CoAP;MQTT;AMQP;XMPP;DDS;mDNS;IoT Gateway;Internet of Things (IoT);CoAP;MQTT;AMQP;XMPP;DDS;mDNS;IoT gateway},
URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7123563&isnumber=7331734

W. Shi, J. Cao, Q. Zhang, Y. Li and L. Xu, "Edge Computing: Vision and Challenges," in IEEE Internet of Things Journal, vol. 3, no. 5, pp. 637-646, Oct. 2016.
doi: 10.1109/JIOT.2016.2579198
keywords: {Cloud computing;Internet of things;Bandwidth;Time factors;Mobile handsets;Data privacy;Smart homes;Edge computing;Internet of Things (IoT);smart home and city},
URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7488250&isnumber=7563473

9

CYBER SECURITY

IEEE XPLORE

A. Al-Fuqaha, M. Guizani, M. Mohammadi, M. Aledhari and M. Ayyash, "Internet of Things: A Survey on Enabling Technologies, Protocols, and Applications," in IEEE Communications Surveys & Tutorials, vol. 17, no. 4, pp. 2347-2376, Fourthquarter 2015.
doi: 10.1109/COMST.2015.2444095
keywords: {Internet of things;Computer architecture;Radiofrequency identification;Intelligent sensors;Mobile communication;Internet of things;IoT;CoAP;MQTT;AMQP;XMPP;DDS;mDNS;IoT Gateway;Internet of Things (IoT);CoAP;MQTT;AMQP;XMPP;DDS;mDNS;IoT gateway},
URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7123563&isnumber=7331734

E. G. Larsson, O. Edfors, F. Tufvesson and T. L. Marzetta, "Massive MIMO for next generation wireless systems," in IEEE Communications Magazine, vol. 52, no. 2, pp. 186-195, February 2014.
doi: 10.1109/MCOM.2014.6736761
keywords: {MIMO;Base stations;Antenna arrays;Uplink;Fading;Downlink},
URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6736761&isnumber=6736727

10

BLOCKCHAIN

IEEE XPLORE

K. Christidis and M. Devetsikiotis, "Blockchains and Smart Contracts for the Internet of Things," in IEEE Access, vol. 4, pp. 2292-2303, 2016.
doi: 10.1109/ACCESS.2016.2566339
keywords: {Distributed processing;Internet of things;Cryptography;Privacy;Blockchains;Automation;Peer-to-peer computing;blockchain;distributed systems;Internet of Things;Blockchain;distributed systems;internet of things},
URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7467408&isnumber=7419931

W. Saad, M. Bennis and M. Chen, "A Vision of 6G Wireless Systems: Applications, Trends, Technologies, and Open Research Problems," in IEEE Network, vol. 34, no. 3, pp. 134-142, May/June 2020.
doi: 10.1109/MNET.001.1900287
keywords: {6G mobile communication;5G mobile communication;Market research;Wireless communication;Sensors;Wireless sensor networks},
URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8869705&isnumber=9105918

11

NOMA

IEEE XPLORE

L. Dai, B. Wang, Y. Yuan, S. Han, I. Chih-lin and Z. Wang, "Non-orthogonal multiple access for 5G: solutions, challenges, opportunities, and future research trends," in IEEE Communications Magazine, vol. 53, no. 9, pp. 74-81, September 2015.
doi: 10.1109/MCOM.2015.7263349
keywords: {Multiplexing;Receivers;Silicon carbide;Uplink;Multiaccess communication;Interference;5G mobile communication},
URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7263349&isnumber=7263333

Z. Ding, X. Lei, G. K. Karagiannidis, R. Schober, J. Yuan and V. K. Bhargava, "A Survey on Non-Orthogonal Multiple Access for 5G Networks: Research Challenges and Future Trends," in IEEE Journal on Selected Areas in Communications, vol. 35, no. 10, pp. 2181-2195, Oct. 2017.
doi: 10.1109/JSAC.2017.2725519
keywords: {NOMA;5G mobile communication;Quality of service;Resource management;Millimeter wave communication;MIMO;Cognitive radio;Non-orthogonal multiple access (NOMA);multi-carrier NOMA;MIMO;cooperative NOMA;millimeter-wave networks},
URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7973146&isnumber=8038094

12

WIND TURBINE MONITORING

IEEE XPLORE

J. M. Guerrero, J. C. Vasquez, J. Matas, L. G. de Vicuna and M. Castilla, "Hierarchical Control of Droop-Controlled AC and DC Microgrids—A General Approach Toward Standardization," in IEEE Transactions on Industrial Electronics, vol. 58, no. 1, pp. 158-172, Jan. 2011.
doi: 10.1109/TIE.2010.2066534
keywords: {Standardization;Control systems;Energy resources;Energy storage;Dispatching;Impedance;Power system restoration;Energy management;Power system management;Load flow;Distributed generation (DG);distributed power systems;droop method;hierarchical control;ISA-95;microgrid (MG);parallel operation;smart grid (SG)},
URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5546958&isnumber=5662271

J. Rocabert, A. Luna, F. Blaabjerg and P. Rodríguez, "Control of Power Converters in AC Microgrids," in IEEE Transactions on Power Electronics, vol. 27, no. 11, pp. 4734-4749, Nov. 2012.
doi: 10.1109/TPEL.2012.2199334
keywords: {Voltage control;Synchronization;Impedance;Frequency conversion;Generators;Reactive power;Frequency control;Active and reactive power droop control;ancillary services;distributed energy resources;distributed generation (DG);grid converter control;grid synchronization;microgrids},
URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6200347&isnumber=6222041

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Top Searches from “IEEE Xplore Digital Library" - 22nd March 2024

  The Learning and Information Resource Centre is pleased to inform you about the  Top   Searches  from " IEEE   Xplore   Digital Libra...