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プロフィール詳細
専門分野
サービス
Writing
Technical Writing
Research
Feasibility Study,
Gap Analysis,
Scientific and Technical Research,
Systematic Literature Review
Data & AI
Predictive Modeling,
Statistical Analysis,
Image Processing,
Image Analysis,
Algorithm Design-ML,
Data Visualization,
Big Data Analytics,
Data Mining,
Data Cleaning,
Data Processing,
Data Insights
Product Development
Concept Development,
Prototyping
職務経験
Research Scientist
IIT Delhi
10月 2022 - 現在
PhD Research Scholar
Birla Institute of Technology and Science - Hyderabad Campus
1月 2018 - 現在 
学歴
PhD
BITS Pilani Hyderabad Campus
1月 2018 - 7月 2021
認定資格
- 認定資格の詳細は未入力です。
出版物
JOURNAL ARTICLE
Amar Kumar Verma, Pallav Devang Raval, Neha Rajagopalan, Vaishnavi Khariya, Radhika Sudha(2022). Development of an AI-based FSA for real-time condition monitoring for industrial machine . Neural Computing and Applications. 34. (11). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 8597--8615. Springer Science and Business Media {LLC}
Amar Kumar Verma, Inturi Vamsi, Prerna Saurabh, Radhika Sudha, Sabareesh G.R., Rajkumar S.(2021). Wavelet and deep learning-based detection of SARS-nCoV from thoracic X-ray images for rapid and efficient testing . Expert Systems with Applications. 185. Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 115650. Elsevier {BV}
Amar Kumar Verma, Shivika Nagpal, Aditya Desai, Radhika Sudha(2021). An efficient neural-network model for real-time fault detection in industrial machine . Neural Computing and Applications. 33. (4). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 1297--1310. Springer Science and Business Media {LLC}
Amar Kumar Verma, Pragnya Akkulu, Shravvan V. Padmanabhan, Sudha Radhika(2021). Automatic Condition Monitoring of Industrial Machines Using FSA-Based Hall-Effect Transducer . IEEE Sensors Journal. 21. (2). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 1072--1081. Institute of Electrical and Electronics Engineers ({IEEE})
(2020). An efficient neural-network model for real-time fault detection in industrial machine . Neural Computing and Applications.
(2020). Automatic condition monitoring of industrial machines using FSA-based hall-effect transducer . IEEE Sensors Journal.
BOOK CHAPTER
Amar Kumar Verma, Aakruti Jain, Sudha Radhika(2020). Neuro-fuzzy Classifier for Identification of Stator Winding Inter-turn Fault for Industrial Machine . 101--110Springer Singapore
(2020). Quantitative Modeling and Simulation for Stator Inter-turn Fault Detection in Industrial Machine . Intelligent Computing and Communication.
CONFERENCE PAPER
(2019). K-Nearest Neighbors and Grid Search CV Based Real Time Fault Monitoring System for Industries . 2019 IEEE 5th International Conference for Convergence in Technology (I2CT).
(2019). Wavelet Based Fault Detection and Diagnosis Using Online MCSA of Stator Winding Faults Due to Insulation Failure in Industrial Induction Machine . 2018 IEEE Recent Advances in Intelligent Computational Systems (RAICS).
(2018). Random Forest Based Real Time Fault Monitoring System for Industries . 2018 4th International Conference on Computing Communication and Automation (ICCCA).
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