Showing posts with label Ph.D.. Show all posts
Showing posts with label Ph.D.. 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


Monday, July 29, 2019

MU to resume written test for PhD degree aspirants soon

GAYA: Magadh University is to resume the practice of holding written test for PhD degree aspirants. The practice was discarded a few years ago in view of University Grants Commission (UGC) regulation 2009. In 2016, the UGC amended the guidelines, detailing eligibility, duration and relaxation and other criteria. The MU academic council, at its meeting held on Friday, adopted the UGC regulation that stipulates conditions for award of PhD degrees. MU’s officiating VC Prof D P Tiwari presided over the academic council meet.

MU’s PRO Prof Sidhnath Prasad said the process for conducting the test and holding classes on research methodology will begin soon. “The result of the test, to be known as RET (research eligibility test), will be valid for one year. The RET shall be for qualifying purpose only. Relaxation of 5% in qualifying marks shall be given to SC/ST and persons with disability. The RET syllabus will consist of 50% of research methodology and 50% subject specific,” he said.

As per the Academic Council decision, multiple-choice objective questions with no negative marking will be asked in the RET.
Certain categories of PhD degree aspirants have been exempted from the RET. However, they will have to appear at the interview and viva voce along with the RET qualifiers. In order to qualify, a degree aspirant will have to secure a minimum of 50% in the test.

Those exempted from the written test include NET qualifiers, recipients of All India Fellowship, employees of any other university or institution or college or government department or public sector undertaking or Research and Development (R & D) organization or private industry, who is sponsored as a full-time candidate by the said organization, with at least two years of experience in the relevant area, and who is relieved on study leave for a period of not less than two years for pursuing PhD programme in a department of the university.

Foreign nationals, who are recipient of fellowship by Indian Council for Cultural Relations (ICCR) and sponsored by their government along with self-financing foreign nationals admitted through the embassies or high commission of their country or admitted under a MoU with due clearance from the Indian Missions abroad would also be exempted from written test.

Source: The Times of India dated July 28, 2019

Saturday, March 16, 2019

India likely to benefit as UK lifts limit on PhD level work visas

According to the most recent UK Home Office data, Indians form the largest group of highly-skilled professionals within the Tier 2 (General) category of work visas.

London: Indians are among the largest group of professionals set to benefit from a new UK government plan to remove any limit on the number of PhD-level work visas to be granted.
UK Chancellor Philip Hammond announced on Wednesday in a Budget update, referred to as the annual Spring Statement, that from later this year all such highly-qualified roles will be exempt from any cap on the numbers that can apply and come to work in Britain.
“[A] key pillar of our plan is backing Britain to remain at the forefront of the technology revolution that is transforming our economy. And to support that ambition, from this Autumn we will completely exempt PhD-level roles from the visa caps,” Hammond said in his speech in the House of Commons.
“From Autumn 2019, PhD-level occupations will be exempt from the Tier 2 (General) cap, and at the same time the government will update the immigration rules on 180-day absences so that researchers conducting fieldwork overseas are not penalised if they apply to settle in the UK,” he added in his statement.
According to the most recent UK Home Office data, Indians form the largest chunk of highly-skilled professionals within the Tier 2 (General) category of work visas, accounting for 54 per cent of all such visas granted in 2018.


Indian nationals also marked the largest increase in the grant of Tier 2 visas last year, up by 6 per cent at 3,023 more visas compared to the previous year.
The UK government’s latest PhD-level visa exemption was welcomed by UK universities, who are key employers of international researchers.
“This is fantastic news for Indian researchers who would like to work in the UK, and for UK universities who thrive on bringing together a diversity of brilliant minds from around the world,” said Vivienne Stern, Director of Universities UK International, the main representative body for UK higher education institutions.
“Many of the UK’s leading researchers, in fields ranging from biomechanics to gender politics, come from India. Outside of Europe, India is the third-largest country of origin for academic staff in the UK,” she said.
Universities UK International said that despite making up only 0.9 per cent of the global population, the UK is responsible for 15.9 per cent of the world’s most highly-cited research articles.
“The achievements are made possibly as a result of the international community of researchers that work at and with UK institutions,” Stern said.
The new announcement comes soon after doctors and nurses were removed from the cap to address shortages in the state-funded National Health Service (NHS) last year.
Currently, only a limited number of visas are issued every year under the Tier 2 skilled worker section of the visa system. The government’s latest announcement is seen as the first step towards the complete removal of a cap on visas for skilled workers in 2021, when a new immigration system comes into force.
“We already issue more skilled worker visas to Indian nationals than to the rest of the world combined, and I am delighted to see many Indian students coming to study at our world-class universities,” UK immigration minister Caroline Nokes had said following a Migration Dialogue with Indian government officials in January this year.
“Under the new system, operating from 2021, we will always be open to the brightest and best from India, who wish to come to live and work in the UK,” she said.

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