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ORCIDLavika Goel
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2020 – today
- 2024
[j15]Lavika Goel, Nilarnab Debnath, Sanskar Mundaniya:
A visual question and answering system with support for compound emotions using facial landmark identification with MediaPipe and CNN classifier. Neurocomputing 588: 127623 (2024)- [j14]Lavika Goel, Satyansh Mishra:
A hybrid of modified YOLOv3 with BBO/EE optimizer for lung cancer detection. Multim. Tools Appl. 83(17): 52219-52251 (2024) - [j13]Lavika Goel, Pankaj Patel:
Improving YOLOv6 using advanced PSO optimizer for weight selection in lung cancer detection and classification. Multim. Tools Appl. 83(32): 78059-78092 (2024) - [j12]Lavika Goel, Jyotishree Kanhar, Vij Sanjay Patel, Aishwary Vardhan:
Hybrid Elephant Herding Optimization-Big Bang Big Crunch for pattern recognition from natural images. Soft Comput. 28(4): 3431-3447 (2024) - [c11]Vijay Kumari, Miloni Mittal, Yashvardhan Sharma, Lavika Goel:
FAQ-Based Question Answering Systems with Query-Question and Query-Answer Similarity. ICAART (3) 2024: 1189-1196 - 2023
- [c10]Vijay Kumari, Abhimanyu Sethi, Yashvardhan Sharma, Lavika Goel:
Visual Question Answering Analysis: Datasets, Methods, and Image Featurization Techniques. ICPRAM 2023: 281-288 - 2022
- [j11]Lavika Goel:
A novel approach for face recognition using biogeography based optimization with extinction and evolution. Multim. Tools Appl. 81(8): 10561-10588 (2022) - 2021
- [j10]Lavika Goel, Rajat Jain
:
A plate-tectonics based neighborhood search optimizer and its application for fault monitoring in IoT systems. Knowl. Based Syst. 234: 107551 (2021) - 2020
- [j9]Lavika Goel, Sundaresan Raman, Subham Swastik Dora, Anirudh Bhutani, A. S. Aditya, Abhinav Mehta:
Hybrid computational intelligence algorithms and their applications to detect food quality. Artif. Intell. Rev. 53(2): 1415-1440 (2020) - [j8]Lavika Goel:
An extensive review of computational intelligence-based optimization algorithms: trends and applications. Soft Comput. 24(21): 16519-16549 (2020) - [j7]Lavika Goel, Abhilash Neog, Ashish Aman, Arshveer Kaur:
Hybrid Nature-Inspired Optimization Techniques in Face Recognition. Trans. Comput. Sci. 36: 99-126 (2020)
2010 – 2019
- 2019
- [c9]Lavika Goel, Joy Mukherjee:
Characterizing High Level LIGO Gravitational Wave Data Using Deep Learning. IntelliSys (1) 2019: 848-860 - 2018
- [j6]Lavika Goel, Anubhav Garg:
Sentiment Analysis of Social Networking Websites using Gravitational Search Optimization Algorithm. Int. J. Appl. Evol. Comput. 9(1): 76-85 (2018) - 2017
- [c8]Siddharth Bhatia, Yash Sinha, Lavika Goel:
Lung Cancer Detection: A Deep Learning Approach. SocProS (2) 2017: 699-705 - 2016
- [c7]Lavika Goel, Sunita Singhal, Sharthak Mishra, Satyajit Mohanty:
Hybridization of gravitational search algorithm and biogeography based optimization and its application on grid scheduling problem. IC3 2016: 1-6 - 2015
- [j5]Lavika Goel, Daya Gupta, V. K. Panchal:
Two-phase anticipatory system design based on extended species abundance model of biogeography for intelligent battlefield preparation. Knowl. Based Syst. 89: 420-445 (2015) - 2014
- [c6]Daya Gupta, Lavika Goel, Ashish Chopra:
Enhanced heuristic approach for Travelling Tournament Problem based on extended species abundance models of biogeography. ICACCI 2014: 1118-1124 - 2013
- [j4]Lavika Goel, Daya Gupta, V. K. Panchal:
Biogeography and geo-sciences based land cover feature extraction. Appl. Soft Comput. 13(10): 4194-4208 (2013) - [j3]Lavika Goel, Daya Gupta, V. K. Panchal:
Performance Analysis of Biogeography Based Land Cover Feature Extractor for Building Hybrid Intelligent Models. Int. J. Appl. Evol. Comput. 4(4): 1-26 (2013) - [j2]Lavika Goel, Daya Gupta, V. K. Panchal:
Land Cover Feature Extraction of Multi-spectral Satellite Images Based on Extended Species Abundance Model of Biogeography. Trans. Comput. Sci. 21: 90-118 (2013) - [c5]Daya Gupta, Lavika Goel, Vipin Aggarwal:
A hybrid biogeography based heuristic for the mirrored traveling tournament problem. IC3 2013: 325-330 - 2012
- [j1]Lavika Goel, Daya Gupta, V. K. Panchal:
Hybrid bio-inspired techniques for land cover feature extraction: A remote sensing perspective. Appl. Soft Comput. 12(2): 832-849 (2012) - [c4]Lavika Goel, Daya Gupta, V. K. Panchal:
Biogeography based anticipatory computing framework for intelligent battle field planning. HIS 2012: 41-46 - [c3]Lavika Goel, Daya Gupta, V. K. Panchal:
Dynamic Model of Blended Biogeography Based Optimization for Land Cover Feature Extraction. IC3 2012: 8-19 - [c2]Lavika Goel, Daya Gupta, V. K. Panchal, Ajith Abraham:
Taxonomy of nature inspired computational intelligence: A remote sensing perspective. NaBIC 2012: 200-206 - 2011
- [c1]Lavika Goel, Daya Gupta, V. K. Panchal:
Biogeography and Plate Tectonics Based Optimization for Water Body Extraction in Satellite Images. SocProS (2) 2011: 1-13
Coauthor Index
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