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Dinesh K. Sharma
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Journal Articles
- 2024
- [j22]Dinesh K. Sharma, H. S. Hota, Aaron Rasheed Rababaah:
Forecasting US stock price using hybrid of wavelet transforms and adaptive neuro fuzzy inference system. Int. J. Syst. Assur. Eng. Manag. 15(2): 591-608 (2024) - [j21]Rabin K. Jana, Dinesh K. Sharma, Subrata Kumar Mitra, Bidushi Chakraborty:
Routing decisions for Buddhist pilgrimage: an elitist genetic algorithm approach. Int. J. Syst. Assur. Eng. Manag. 15(2): 609-620 (2024) - 2023
- [j20]H. S. Hota, Dinesh K. Sharma, Nilesh Verma:
COVID-19: machine learning methods applied for twitter sentiment analysis of Indians before, during and after lockdown. Int. J. Comput. Sci. Math. 17(1): 95-105 (2023) - [j19]H. S. Hota, Dinesh K. Sharma, Nilesh Verma:
Integration of deep learning techniques for sentiment and emotion analysis of social media data. Int. J. Intell. Syst. Technol. Appl. 21(1): 1-20 (2023) - 2022
- [j18]Rabin K. Jana, Dinesh K. Sharma, Peeyush Mehta:
A probabilistic fuzzy goal programming model for managing the supply of emergency relief materials. Ann. Oper. Res. 319(1): 149-172 (2022) - [j17]Sumit Kumar Yadav, Dinesh K. Sharma, Madhulika Dube:
Modified exponential family for improved Searls estimation of finite population mean. Int. J. Comput. Sci. Math. 16(2): 149-158 (2022) - [j16]Sumit Kumar Yadav, Dinesh K. Sharma, Abhishek Yadav, Surendra Kumar:
Optimal Searls estimation of population variance under a systematic sampling scheme: a simulation study. Int. J. Comput. Sci. Math. 16(3): 239-251 (2022) - [j15]Dinesh K. Sharma, Surender Singh, Abdul Haseeb Ganie:
Distance-Based Knowledge Measure of Hesitant Fuzzy Linguistic Term Set With Its Application in Multi-Criteria Decision Making. Int. J. Fuzzy Syst. Appl. 11(1): 1-20 (2022) - [j14]Dinesh K. Sharma, Subhash Kumar Yadav, Hari Sharma:
Improvement in estimation of population variance utilising known auxiliary parameters for a decision-making model. Int. J. Math. Model. Numer. Optimisation 12(1): 15-28 (2022) - [j13]Dinesh K. Sharma, Subhash Kumar Yadav:
Optimal generalised Searls estimation procedure of population mean under ranked set sampling scheme. Int. J. Math. Oper. Res. 21(3): 305-320 (2022) - [j12]Sumit Kumar Yadav, Dinesh K. Sharma, Madhulika Dube:
A simulation approach to modified Searls estimation of population mean under two-phase random sampling. Int. J. Math. Oper. Res. 22(2): 235-251 (2022) - 2021
- [j11]Subhash Kumar Yadav, Dinesh K. Sharma, Shanya Baghel:
Upgraded family of estimators of population mean using known parameters of auxiliary and study variables. Int. J. Math. Model. Numer. Optimisation 11(3): 252-274 (2021) - [j10]Subhash Kumar Yadav, Cem Kadilar, Dinesh K. Sharma:
New family of estimators for population mean using regression-cum-ratio exponential estimators. Int. J. Math. Oper. Res. 18(1): 85-114 (2021) - [j9]Sumit Kumar Yadav, Dinesh K. Sharma, Kate Brown:
New class of estimators for enhanced estimation of average production of peppermint yield utilising known auxiliary variable. Int. J. Math. Oper. Res. 20(2): 281-295 (2021) - 2020
- [j8]Barnali Chaudhuri, R. K. Jana, Dinesh K. Sharma, Pranab K. Dan:
A hybrid genetic-goal programming approach for improving group performance in cell formation problems. Int. J. Adv. Oper. Manag. 12(4): 377-395 (2020) - 2019
- [j7]Barnali Chaudhuri, R. K. Jana, Dinesh K. Sharma, Pranab K. Dan:
A goal programming embedded genetic algorithm for multi-objective manufacturing cell design. Int. J. Appl. Decis. Sci. 12(1): 98-114 (2019) - 2018
- [j6]H. S. Hota, Dinesh K. Sharma, Akhilesh Kumar Shrivas:
Development of an efficient classifier using proposed sensitivity-based feature selection technique for intrusion detection system. Int. J. Inf. Comput. Secur. 10(1): 80-101 (2018) - 2016
- [j5]Shifali Bhargava, Dinesh K. Sharma:
An algorithm for general multilevel linear/linear fractional programming problems. Int. J. Math. Model. Numer. Optimisation 7(1): 33-43 (2016) - 2010
- [j4]R. K. Jana, Dinesh K. Sharma:
Genetic algorithm-based fuzzy goal programming for class of chance-constrained programming problems. Int. J. Comput. Math. 87(4): 733-742 (2010) - 2006
- [j3]Dinesh K. Sharma, Debasis Ghosh, Julius A. Alade:
A fuzzy goal programming approach for regional rural development planning. Appl. Math. Comput. 176(1): 141-149 (2006) - [j2]Supratik Chakraborty, Joycee Mekie, Dinesh K. Sharma:
Reasoning about synchronization in GALS systems. Formal Methods Syst. Des. 28(2): 153-169 (2006) - 2005
- [j1]Dinesh K. Sharma, Rakesh Kumar Sharma, Debasis Ghosh:
Spatial Decision Support System for Zinc Content in Soil. Int. J. Inf. Technol. Decis. Mak. 4(4): 567-580 (2005)
Conference and Workshop Papers
- 2023
- [c9]Willie L. Brown, Etahe Johnson, Lanju Mei, Jason Cornelius, Dinesh K. Sharma, Weiwei Zhu-Stone, Marea de Koning, Tiara T. Cornelius, Ibibia Dabipi, Lei Zhang, Urban T. Wiggins, Enrique Jackson:
A Peer-to-Peer Guide to Academic Transformation Using Research-to-Practice of STEM Learners to Promote a Lifecycle-Oriented Project for Accessibility within the User Community and Environments. FIE 2023: 1-5 - 2022
- [c8]Willie L. Brown, Ibibia Dabipi, Dinesh K. Sharma, Lei Zhang, Weiwei Zhu-Stone, Lanju Mei, Alvernon Walker, Tiara T. Cornelius, Jason Cornelius, Urban T. Wiggins, Etahe Johnson, Lakeisha Harris, John P. Murray, Enrique Jackson, Terence H. Fontaine, Linda B. Hayden:
Research-to-Practice for Peer-to-Peer Learning in Engineering Education using Ensemble Methods to Deploy a Lifecycle Design Roadmap. FIE 2022: 1-9 - [c7]Willie L. Brown, Ibibia Dabipi, Dinesh K. Sharma, Lei Zhang, Weiwei Zhu-Stone, Lanju Mei, Alvernon Walker, Tiara T. Cornelius, Jason Cornelius, Urban T. Wiggins, Etahe Johnson, Lakeisha Harris, John P. Murray, Enrique Jackson, Terence H. Fontaine, Linda B. Hayden:
Integrating Support Vector Machine Models into the Engineering Lifecycle Design Roadmap Process for Innovative Practices using Project Based Learning. FIE 2022: 1-9 - 2021
- [c6]Willie L. Brown, Ibibia Dabipi, Dinesh K. Sharma, Lei Zhang, Weiwei Zhu-Stone, Lanju Mei, Urban T. Wiggins, Tiara T. Cornelius, Sherley Jones, Roland Wescott, J. Anthony Sharp, Furman Glenn:
The Investigation of Logistic Regression Methods Applied to Engineering Education using Project Based Learning for Airport Systems Design. FIE 2021: 1-5 - 2019
- [c5]Willie L. Brown, Lei Zhang, Dinesh K. Sharma, Ibibia Dabipi, Weiwei Zhu, Yuanwei Jin, Donald Bagwell:
Engaging Undergraduate Engineering and Aviation Students to Explore Project Based Learning with regard to Community Impact using Data Analytics in Higher Education. FIE 2019: 1-5 - 2018
- [c4]Willie L. Brown, Lei Zhang, Ellis Lawrence, Yuanwei Jin, Ibibia Dabipi, Weiwei Zhu, Dinesh K. Sharma:
Undergraduate Engineering Education and the Game-Based Learning Methods to Promote a Culture of Laboratory Safety. FIE 2018: 1-7 - [c3]Willie L. Brown, Lei Zhang, Dinesh K. Sharma, Yuanwei Jin, Ibibia Dabipi, Weiwei Zhu, Ellis Lawrence:
The Integration of Data Analytics to Assess Multi-Complex Environments of Research to Practices in Engineering Education. FIE 2018: 1-6 - 2006
- [c2]Joycee Mekie, Supratik Chakraborty, Dinesh K. Sharma, Girish Venkataramani, P. S. Thiagarajan:
Interface Design for Rationally Clocked GALS Systems. ASYNC 2006: 160-171 - 2004
- [c1]Joycee Mekie, Supratik Chakraborty, Dinesh K. Sharma:
Evaluation of pausible clocking for interfacing high speed IP cores in GALS Framework. VLSI Design 2004: 559-564
Coauthor Index
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