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Anil Kumar Uppugunduru
Anil Kumar Uppugunduru
Other namesU Anil Kumar
ICFAI Foundation for Higher Education
Verified email at ifheindia.org
Title
Cited by
Cited by
Year
Low-power compressor-based approximate multipliers with error correcting module
UA Kumar, SK Chatterjee, SE Ahmed
IEEE Embedded Systems Letters 14 (2), 59-62, 2021
452021
DeBAM: Decoder-based approximate multiplier for low power applications
S Nambi, UA Kumar, K Radhakrishnan, M Venkatesan, SE Ahmed
IEEE Embedded Systems Letters 13 (4), 174-177, 2020
262020
Compressor based hybrid approximate multiplier architectures with efficient error correction logic
AK Uppugunduru, SV Bharadwaj, SE Ahmed
Computers and Electrical Engineering 104, 108407, 2022
82022
CAAM: Compressor-Based Adaptive Approximate Multiplier for Neural Network Applications
UA Kumar, SV Bharadwaj, AB Pattaje, S Nambi, SE Ahmed
IEEE Embedded Systems Letters 15 (3), 117-120, 2022
72022
Design of efficient approximate multiplier for image processing applications
C Sai Revanth Reddy, U Anil Kumar, SE Ahmed
Modelling, Simulation and Intelligent Computing: Proceedings of MoSICom 2020 …, 2020
72020
Hardware-efficient approximate multiplier architectures for media processing applications
AK Uppugunduru, SE Ahmed
Circuit World 48 (2), 223-232, 2022
62022
A high-speed and power-efficient approximate adder for image processing applications
UA Kumar, G Sahith, SK Chatterjee, SE Ahmed
Journal of Circuits, Systems and Computers 31 (03), 2250049, 2022
62022
Low-power compressor-based approximate multipliers with error correcting module. IEEE Embedded Syst Lett 14 (2): 59–62
UA Kumar, SK Chatterjee, SE Ahmed
52022
Approximate Multiplier Architectures for Error Resilient Applications
UA Kumar, RK Chintakunta, S Kumar, K Jamal, SE Ahmed
2021 IEEE International Symposium on Smart Electronic Systems (iSES), 89-92, 2021
52021
Improved approximate multiplier architecture for image processing and neural network applications
P Alamuri, UA Kumar, V Vannuru, SE Ahmed
Microprocessors and Microsystems 101, 104909, 2023
42023
Design methodology for highly accurate approximate multipliers for error resilient applications
S Guturu, UA Kumar, SV Bharadwaj, SE Ahmed
Computers and Electrical Engineering 110, 108798, 2023
42023
Power efficient approximate divider architecture for error resilient applications
A Shriram, A Tiwari, UA Kumar, BRT Karri, S Veeramachaneni, SE Ahmed
2022 IEEE 6th Conference on Information and Communication Technology (CICT), 1-6, 2022
42022
Automatic Waste Segregator Using Raspberry Pi
UA Kumar, B Renuka, G Kiranmai, G Sowjanya, B Tech
Int. J. Adv. Technol. Eng. Sci 5 (3), 578-583, 2017
42017
Power efficient approximate multiplier architectures for error resilient applications
UA Kumar, P Bikki, S Veeramachaneni, SE Ahmed
2022 IEEE 19th India Council International Conference (INDICON), 1-5, 2022
32022
Power Efficient Approximate Booth Multipliers for Error Resilient Applications
SS Prakash, N Vilva, UA Kumar, SE Ahmed
2022 IEEE 19th India Council International Conference (INDICON), 1-6, 2022
32022
Lower part OR based Approximate Multiplier for Error Resilient Applications
UA Kumar, GN Sandesh, D Ojusteja, SE Ahmed
2021 IEEE International Symposium on Smart Electronic Systems (iSES), 161-164, 2021
32021
Evaluation of multiplier-less DCT transform using in-exact computing
UA Kumar, N Jain, SK Chatterjee, SE Ahmed
Machine Learning, Image Processing, Network Security and Data Sciences …, 2020
32020
Iot Based Noise and Air Pollution Monitoring System
UA Kumar, G Keerthi, G Sumalatha, MS Reddy
International Journal of Advance Technology in Engineering And Science 5 (3), 2017
32017
IoT based noise and air pollution monitoring system using Raspberry Pi
U Anil Kumar, G Keerthi, M Sumalatha, R Sushma
Int. J. Adv. Technol. Eng. Sci 5 (3), 183-187, 2017
32017
G sumalatha, M
UA Kumar, G Keerthi
Sushma Reddy," IOT BASED NOISE AND AIR POLLUTION MONITORING SYSTEM USING …, 2017
32017
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