Akhil Garg - researchr alias

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Viewing Publication 1 - 19 from 19

2026

Assessment of free vibration frequencies of nano-scale functionally graded materials using hybrid machine learning approachesMohamed-Ouejdi Belarbi, Abdelhak Khechai, Abdelfodhil Bouhdjar, Pham Van Vinh, Aman Garg, Li Li, Akhil Garg. ijon, 665:132194, 2026. [doi]

2024

Risk-Based Design Optimization via Scenario Generation and Genetic Programming Under Hybrid UncertaintiesWei Li 0173, Xiaowei Zhou, Haihong Huang, Akhil Garg, Liang Gao. jcise, 24(10), 2024. [doi]

2022

A Genetic Algorithm and RNN-LSTM Model for Remaining Battery Capacity PredictionMukul Singh, Shrey Bansal, Vandana, Bijaya K. Panigrahi, Akhil Garg. jcise, 22(4), 2022. [doi]

2021

Sequence-in-Sequence Learning for SOH Estimation of Lithium-Ion BatteryThien Pham, Loi Truong, Mao Nguyen, Akhil Garg, Liang Gao, Tho Quan. cecnet 2021: 14-25 [doi]

Hybrid Strategy of Multiple Optimization Algorithms Applied to 3-D Terrain Node Coverage of Wireless Sensor NetworkLi-Gang Zhang, Fang Fan, Shu-Chuan Chu, Akhil Garg, Jeng-Shyang Pan 0001. wicomm, 2021, 2021. [doi]

2020

Welding and Cutting Case Studies with Supervised Machine LearningS. Arungalai Vendan, Rajeev Kamal, Abhinav Karan, Liang Gao 0001, Xiaodong Niu, Akhil Garg. Volume 1 of Springer, 2020. [doi]

2018

A hybrid method for overlapping speech detection in classroom environmentDazhi Jiang, Yifei Chen, Akhil Garg. caee, 26(1):171-180, 2018. [doi]

2014

An integrated SRM-multi-gene genetic programming approach for prediction of factor of safety of 3-D soil nailed slopesAkhil Garg, Ankit Garg, K. Tai, S. Sreedeep. eaai, 30:30-40, 2014. [doi]

Efficient testing of hierarchical core-based SOCsBrion L. Keller, Krishna Chakravadhanula, Brian Foutz, Vivek Chickermane, Akhil Garg, Richard Schoonover, James Sage, Don Pearl, Thomas J. Snethen. itc 2014: 1-10 [doi]

2013

Genetic Programming for Modeling Vibratory Finishing Process: Role of Experimental Designs and Fitness FunctionsAkhil Garg, Kang Tai. semcco 2013: 23-31 [doi]

2011

State of the art low capture power methodologySwapnil Bahl, Roberto Mattiuzzo, Shray Khullar, Akhil Garg, S. Graniello, Khader S. Abdel-Hafez, Salvatore Talluto. itc 2011: 1-10 [doi]

2010

Study of Read Recovery Dynamic Faults in 6T SRAMS and Method to Improve Test TimePrashant Dubey, Akhil Garg, Shashank Mahajan. et, 26(6):659-666, 2010. [doi]

2008

Low Power TestSwapnil Bahl, Rajiv Sarkar, Akhil Garg. itc 2008: 1 [doi]

On Chip Jitter Measurement through a High Accuracy TDCAkhil Garg, Prashant Dubey. isqed 2008: 844-847 [doi]

2007

Low Area Adaptive Fail-Data Compression Methodology for Defect Classification and Production Phase PrognosisPrashant Dubey, Akhil Garg, Sravan Kumar Bhaskarani. isvlsi 2007: 171-178 [doi]

GALS Based Shared Test Architecture for Embedded MemoriesPrashant Dubey, Akhil Garg, Sravan Kumar Bhaskarani. iscas 2007: 157-160 [doi]

Built in Defect Prognosis for Embedded MemoriesPrashant Dubey, Akhil Garg, Sravan Kumar Bhaskarani. ddecs 2007: 167-172

2006

Fuse Area Reduction based on Quantitative Yield Analysis and Effective Chip CostAkhil Garg, Prashant Dubey. dft 2006: 166-174 [doi]

Fuse Area Reduction Based on Quantitative Yield Analysis and Effective Chip CostAkhil Garg, Prashant Dubey. socc 2006: 235-238 [doi]

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