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

Celebration of "Mathematics Week" from 18 to 22 December, 2023

Hey friends!

It's that time of the year again!

Mathematics Week is just around the corner and we can't contain our excitement!

With reference to the Circular received for the celebration of Mathematics Week from AICTE and to celebrate the brilliant mind of Srinivasa Ramanujan - the greatest Mathematician of all times, SFIT LIRC and NDLI Club are organizing a fun and challenging quiz on his life and contributions to mathematics.

We know you're all math geniuses and we would love to have you join us in this celebration!

So get your thinking caps on and let's see who comes out on top!

Tag your math-loving friends below and let's make this quiz a memorable one!

Link to the Quiz: http://tinyurl.com/npujsfhx

#MathematicsWeek #SrinivasaRamanujan #QuizTime #mathgeniuses

Date of Event: December 18-22, 2023

Overview:

National Mathematics Week at St. Francis Institute of Technology featured two main events: a Mathematics Quiz and a Display of Information on Srinivasa Ramanujan. These events were designed to engage students with mathematical concepts and celebrate the legacy of one of India's greatest mathematicians. 

1. Mathematics Quiz Objective: To test and enhance mathematical knowledge and problem-solving skills among students. 

Key Statistics: Total Participants: 28

2. Display of Information on Srinivasa Ramanujan

Objective: To educate students and faculty about the life and contributions of Srinivasa Ramanujan.

Key Statistics:

• Number of Display Panel: 1
• Content Covered:
  • Biography of Srinivasa Ramanujan
  • Major Mathematical Theorems and Contributions
  • Historical Context and Impact
  • Personal Letters and Manuscripts
• Target Audience: All students and staff of SFIT
• Average Time Spent at Display: 15 minutes

Overall Impact

• Increased Engagement: The events led to a notable increase in interest and participation in mathematics-related activities and resources.
• Educational Value: Provided valuable insights into Ramanujan's contributions and encouraged a deeper appreciation for mathematics.
• Community Building: Fostered a sense of community and intellectual curiosity among students and faculty.

Top Scorers:

Sucheta Prabhudesai	Library	Faculty / Staff
Sweta Vijaykumar Patil	Information Technology	Student