Chandra Singh

Prof. Chandra Singh

Electronics & Communication, NMAM Institute of Technology, Nitte, Kārkala, India
orcid

Research Focus & Metrics

Academic Career Length

10Years (2017-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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29 January 2022
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Book Chapter
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SSShruthi H. Shetty
Shruthi H. Shetty
SSSumiksha Shetty
Sumiksha Shetty
Chandra SinghChandra Singh
Chandra Singh
ARAshwath Rao
Ashwath Rao

30 April 2021 in SN Computer Science
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Journal Article
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TKThejas Karkera
Thejas Karkera
Chandra SinghChandra Singh
Chandra Singh

1 October 2017
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Conference Paper
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RSRahul Vijay Soans
Rahul Vijay Soans
RARanjith
Ranjith
AHAbhilash Hegde
Abhilash Hegde
Chandra SinghChandra Singh
Chandra Singh
AKAdithya Kumar
Adithya Kumar
Automation has led to growth of industries in recent years. For better performance of industrial process automated robots are used. Image processing has led to advancements in applications of robotics and embedded systems. Using Computer Vision techniques, a robotic vehicle is developed which can identify and track objects. It has many applications in the automation and security.

15 August 2023
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Book
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AHA. Harisha
A. Harisha
Amarnath MishraAmarnath Mishra
Amarnath Mishra
Chandra SinghChandra Singh
Chandra Singh
Vast manpower and resources are needed to investigate cybercrimes. The use of new advanced technologies, such as machine learning combined with automation, are effective in providing significant additional support in prevention of cyber-attacks, in the speedy recovery of data, and in reducing human error. This new volume offers a comprehensive study of the advances that have been made in cybercrime investigations and digital forensics, highlighting the most up-to-date tools that help to mitigate cyber-attacks and to extract digital evidence for forensic investigations to recover lost, purposefully deleted, or damaged files. The chapters look at technological cybersecurity tools such as artificial intelligence, machine learning, data mining, and others for mitigation and investigation. <!----> <!----> <!----> <!---->

27 November 2024
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Book Chapter
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MBManjunatha Badiger
Manjunatha Badiger
SASookshma Adiga
Sookshma Adiga
ANAkshatha Naik
Akshatha Naik
SSSumiksha Shetty
Sumiksha Shetty
ASA. B. Smitha
A. B. Smitha
Chandra SinghChandra Singh
Chandra Singh
Advances in AI and data analytics are revolutionizing healthcare by enhancing patient well-being, and system performance, and addressing deep-rooted health challenges. Key trends include precision medicine, which forecasts health outcomes based on genotype and phenotype, real-time monitoring with intelligent wearables, improved diagnostics, greater process efficiency, rapid drug development, and genomics integration. Other significant trends encompass NLP, federated learning, blockchain for data protection, explainable AI, and clinician decision support tools. The application of AI holds immense potential, making the vision of improved patient care, higher health outcomes, operational efficiency, and innovative health solutions increasingly achievable.

1 December 2017
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Conference Paper
Closed access
Chandra SinghChandra Singh
Chandra Singh
KSK.V.S.S.S.S. Sairam
K.V.S.S.S.S. Sairam
The optical Fiber Technology has created a lot of opportunities in the area of telecommunications. This Paper outlines a concept for survivable fiber networks interms of global optimization. It can be designed by using Digital Signal Levels w.r.t Digital Cross Connectivity (DCC) and Protection Mechanisms. This can be implemented by using C Programming Language.