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

Celebration of National Reading Day - 19th June 2023

 

"The journey of a lifetime starts with the turning of a page!"

@sfit_engg_official wishes everyone a very Happy National Reading Day!

19th June is celebrated as National Reading Day in India to honour the Keralite teacher, P.N. Panicker. This celebration of reading did not begin until 1996. However, it has grown into a large-scale movement over the years, with many participants rejoicing, learning, imbibing, and celebrating the habit of reading.

Puthuvayil Narayana Panicker is known as the father of the library movement in Kerala. He died on 19th June 1995, after which in 1996, National Reading Day was celebrated as a tribute to the legend. The Ministry of Education of Kerala also observes Vayana Varam (reading week) for the week between the 19th to 25th of June.

The 27th P N Panicker National Reading Day/ Digital Reading Month Celebrations 2023 are being celebrated as previous years in collaboration with Govt. of India, Ministry of Education, NITI Aayog, National Digitial Library of India (NDLI), Govt. of Kerala, P.N. Panicker Foundation, P.N. Panicker Vigyan Vikas Kendra and various other stakeholders from 19th June to 19th July, 2023.

Following activities were conducted to celebrate the National Reading Day from 18 June to 19th July 2023:

1) Take the Pledge at: Reading Day Pledge 2023 

Total Pledges taken: 164 (Faculty and Staff: 21 and Students: 143)

An online badge was shared with all the participants who took the Pledge as a recognition of their active and wholehearted participation.

2) Go Fish: An innovative reading game which received active participation from staff and students.

As part of the celebrations, we also invited Book Suggestions and General Suggestions from

all the stakeholders. These suggestions are noted and those feasible will be implemented in

the near future.

3) Memory Game: In the bustling world of libraries, fostering a love for reading among young minds is paramount. Beyond the realm of traditional story time sessions, incorporating interactive and engaging activities can further ignite children's passion for books and spark their curiosity about the vast world of literature. Introducing a memory game centred on books presents a delightful opportunity to not only enhance memory and concentration skills but also deepen children's familiarity with diverse genres and authors.

A memory game was played with the books available in our library. It received active participation from staff members. The objectives of this Memory Game were to improve memory and concentration skills and to learn about different types of books.

4) Book Mark Making Activity: The art of bookmark making offers a delightful and hands-on approach to fostering creativity and self-expression among children. By providing a platform for artistic exploration and personalization, bookmark making activities engage young minds, cultivate their fine motor skills.

Incorporating all the above activities into library demonstrated a commitment to providing engaging and stimulating experiences that nurtured young minds and cultivated a passion for creativity, self-expression, and the joy of reading.

#reading #nationalreadingday #India #celebrations #books #loveforreading #readingisfun #trending #engineering #bestengineeringcollege #engineeringadmissions #admissions2023 #dahisar #borivali #excellence #placements #library #libraries #academics #readbooks