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Subramaniam Ganesan
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2020 – today
- 2023
- [j18]Saad Almutairi
, Manimurugan Shanmuganathan
, Majed Mohammed Aborokbah
, C. Narmatha
, Subramaniam Ganesan
, P. Karthikeyan
:
An Efficient USE-Net Deep Learning Model for Cancer Detection. Int. J. Intell. Syst. 2023: 1-14 (2023) - [j17]Saeed Alqahtani, Ali Alqahtani
, Mohamed A. Zohdy, Abdulaziz A. Alsulami
, Subramaniam Ganesan
:
Severity Grading and Early Detection of Alzheimer's Disease through Transfer Learning. Inf. 14(12): 646 (2023) - [c26]Ishan Tyagi, Subramaniam Ganesan:
Autonomous Vehicle Algorithm Decision-Making Considering Other Road Users. AICV 2023: 436-446 - 2022
- [j16]Manimurugan Shanmuganathan
, Saad Almutairi
, Majed Mohammed Aborokbah
, C. Narmatha, Subramaniam Ganesan
, Naveen K. Chilamkurti
, Riyadh A. Alzaheb, Hani Almoamari:
Two-Stage Classification Model for the Prediction of Heart Disease Using IoMT and Artificial Intelligence. Sensors 22(2): 476 (2022) - [c25]Farag Mohamed E. Lagnf, Subramaniam Ganesan:
The Improved Implementation of the Message freshness on CAN XL using FPGA. EIT 2022: 215-220 - 2021
- [j15]Fayadh S. Alenezi
, Subramaniam Ganesan
:
Geometric-Pixel Guided Single-Pass Convolution Neural Network With Graph Cut for Image Dehazing. IEEE Access 9: 29380-29391 (2021) - [j14]Danilo Pelusi, B. Nagaraj, Subramaniam Ganesan:
A Special Section on Emerging Challenges and Impacts of Computational Intelligence in Medical Signal Processing Applications. J. Medical Imaging Health Informatics 11(4): 1099-1100 (2021) - [c24]Farag Mohamed E. Lagnf, Subramaniam Ganesan
:
Securing CAN FD by implementing AES-128, SHA256, and Message Counter based on FPGA. EIT 2021: 91-96 - [c23]Dingwang Wang, Subramaniam Ganesan
:
Automotive Network Security. EIT 2021: 193-196 - [c22]Tien-Chuong Lim, Ka C. Cheok, Subramaniam Ganesan
:
Tractor Automated Ground Leveling (AGL) Simulation using Artificial Neural Network. EIT 2021: 202-208 - 2020
- [j13]Manimurugan Shanmuganathan
, Saad Almutairi
, Majed Mohammed Aborokbah, Naveen K. Chilamkurti
, Subramaniam Ganesan
, Rizwan Patan
:
Effective Attack Detection in Internet of Medical Things Smart Environment Using a Deep Belief Neural Network. IEEE Access 8: 77396-77404 (2020) - [j12]Manimurugan Shanmuganathan, Saad Almutairi
, Majed Mohammed Aborokbah, Subramaniam Ganesan
, Varatharajan Ramachandran:
Review of advanced computational approaches on multiple sclerosis segmentation and classification. IET Signal Process. 14(6): 333-341 (2020) - [j11]Nagaraj Balakrishnan, Danilo Pelusi, Subramaniam Ganesan
:
Special issue on "Big Data Analytics and Deep Learning for E-Business Outcomes". Inf. Syst. E Bus. Manag. 18(3): 281-282 (2020) - [j10]Priyank Srivastava
, Dinesh Khanduja, Subramaniam Ganesan
:
Fuzzy methodology application for risk analysis of mechanical system in process industry. Int. J. Syst. Assur. Eng. Manag. 11(2): 297-312 (2020) - [c21]Ali Alqahtani, Subramaniam Ganesan
, Mohamed A. Zohdy, Richard Olawoyin
:
A Novel Non-Coherent OQPSK Detection Based on Interactive Kalman Filtering with Applications in Zigbee Receiver. EIT 2020: 601-608 - [c20]Saeed Alqahtani, Subramaniam Ganesan, Mohamed A. Zohdy:
The Comparison between PI and PID Controllers in Engine Speed Control Model. EIT 2020: 629-634 - [c19]Nayef Alqahtani
, Subramaniam Ganesan, Mohamed A. Zohdy, Richard Olawoyin
:
Optimal Asynchrophasor In PMU Using Second Order Kalman Filter. EIT 2020: 635-637
2010 – 2019
- 2019
- [j9]Jaegeol Yim
, Subramaniam Ganesan
, Byeong Ho Kang
:
Location-Based Mobile Marketing Innovations 2018. Mob. Inf. Syst. 2019: 2164708:1-2164708:2 (2019) - [c18]Ali Alqahtani, Mohamed A. Zohdy, Subramaniam Ganesan, Richard Olawoyin
:
A Novel Phase Tracking in ZigBee Receiver Using Extended Kalman Filtering over AWGN Channel. UEMCON 2019: 158-162 - 2018
- [c17]Maninder Kahlon, Subramaniam Ganesan:
Driver Drowsiness Detection System Based on Binary Eyes Image Data. EIT 2018: 209-215 - 2017
- [j8]Jaegeol Yim
, Subramaniam Ganesan
, Byeong Ho Kang
:
Location-Based Mobile Marketing Innovations. Mob. Inf. Syst. 2017: 1303919:1-1303919:3 (2017) - 2016
- [j7]Suresh Sankaranarayanan
, Subramaniam Ganesan
:
Applications of Intelligent Agents in Health Sector-A Review. Int. J. E Health Medical Commun. 7(1): 1-30 (2016) - [c16]Mohammad Shams Arman Rupok, Hare K. Patnaik, Xuewen Ding, Subramaniam Ganesan:
MEMS accelerometer based low-cost collision impact analyzer. EIT 2016: 393-396 - [c15]Swathi Vadde, Subramaniam Ganesan:
Effect of fault in single load distribution with FIFO(first in, first out) back propagation of results. EIT 2016: 804-810 - 2015
- [c14]Tushar Singh Bohra, Vishal Kumar
, Subramaniam Ganesan:
Segmenting music library for generation of playlist using machine learning. EIT 2015: 421-425 - [c13]Rohollah Mazrae Khoshki, Subramaniam Ganesan:
Improved Automatic License Plate Recognition (ALPR) system based on single pass Connected Component Labeling (CCL)and reign property function. EIT 2015: 426-431 - 2014
- [j6]Suresh Sankaranarayanan
, Subramaniam Ganesan:
Applications of Intelligent Agents in Mobile Commerce: A Review. Int. J. Agent Technol. Syst. 6(4): 35-71 (2014) - [j5]Sami Oweis, Subramaniam Ganesan, Ka C. Cheok:
Illustration of Centralized Command and Control for Flocking Behavior. Int. J. Handheld Comput. Res. 5(2): 1-22 (2014) - [c12]Shumei Wang, Subramaniam Ganesan:
A large-size image watermarking algorithm based on pseudo-random. EIT 2014: 122-129 - [c11]Sami Oweis, Subramaniam Ganesan, Ka C. Cheok:
Server based control flocking for aerial-systems. EIT 2014: 314-319 - 2012
- [c10]Aqeel F. Aqeel, Subramaniam Ganesan:
Sensory system device for suture-manipulation tension measurement for surgery. EIT 2012: 1-6 - 2011
- [c9]Subramaniam Ganesan, Manish Shakya, Aqueel F. Aqueel, Lakshmi M. Nambiar:
Small disaster relief robots with swarm intelligence routing. ACWR 2011: 123-127
2000 – 2009
- 2008
- [c8]Gaurav Saxena, Subramaniam Ganesan, Manohar Das:
Real time implementation of adaptive noise cancellation. EIT 2008: 431-436 - 2006
- [c7]Subramaniam Ganesan, Kenneth Ong:
Mesh simplification using ellipsoidal schema for isotropic quantization of face-normal vectors. APVIS 2006: 31-34 - [c6]Quoc-Thuan Ho, Terence Hung, Wei Jie
, Hoong-Maeng Chan, Emilda Sindhu, Subramaniam Ganesan, Tianyi Zang, Xiaorong Li:
GRASG - A Framework for "Gridifying" and Running Applications on Service-Oriented Grids. CCGRID 2006: 305-312 - 2003
- [c5]Gilles-Eric Descamps, Satish Bagalkotkar, Subramaniam Ganesan, Satish Iyengar, Alain Pirson:
Design of a 17-million gate network processor using a design factory. DAC 2003: 844-849 - [c4]Gilles-Eric Descamps, Satish Bagalkotkar, Subramaniam Ganesan, Sridhar Subramaniam
, Hem Hingarh:
The iFlow Design Factory: Evolving Chip Design from an Art to a Process, through Adaptive Resource Management, and Qualified Data Exchange. ISQED 2003: 144-149
1990 – 1999
- 1998
- [j4]Varsha Kamat-Sadekar, Subramaniam Ganesan
:
Complete description of multiple line segments using the Hough transform. Image Vis. Comput. 16(9-10): 597-613 (1998) - [c3]Varsha Kamat, Subramaniam Ganesan:
A Robust Hough Transform Technique for Description of Multiple Line Segments in an Image. ICIP (1) 1998: 216-220 - [c2]Ali M. Eydgahi, Subramaniam Ganesan:
Genetic-based fuzzy model for inverse kinematics solution of robotic manipulators. SMC 1998: 2196-2201 - 1995
- [c1]Varsha Kamat, Subramaniam Ganesan
:
An efficient implementation of the Hough transform for detecting vehicle license plates using DSP'S. IEEE Real Time Technology and Applications Symposium 1995: 58-59 - 1991
- [j3]Subramaniam Ganesan
, Jeff Hemingway, Robert Haddad:
Standalone modem design using the Am79C12. Microprocess. Microsystems 15(2): 113-117 (1991) - [j2]Subramaniam Ganesan
:
A dual-DSP microprocessor system for real-time digital correlation. Microprocess. Microsystems 15(7): 379-384 (1991) - [j1]Paruvachi V. R. Raja, Subramaniam Ganesan:
An SIMD multiple DSP microprocessor system for image processing. Microprocess. Microsystems 15(9): 493-501 (1991)
Coauthor Index
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last updated on 2024-08-23 19:28 CEST by the dblp team
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