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Dr Sameer Sayyad

vidwan id: 489340
Male

Assistant Professor, Department of Robotics and Automation
Symbiosis Institute of Technology

Expertise

  • Computer Science Artificial Intelligence

Publications

Total Articles 7
Books 0
Proceedings 0

Publications

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Scopus

Citations 164
h-index 5

CrossRef

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Citations 113
h-index 4
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Professional Recognition

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Bio

Currently working in the domain of Industry 4.0, Condition Monitoring, Predictive Maintenance, Machine Learning, Computer Vision.

Personal Details

  • Male
  • Assistant Professor , Symbiosis Institute of Technology
  • Pune, Maharashtra, India
Ph.D
Other Institute 2024
Assistant Professor Feb 2024 – Present
Symbiosis Institute of Technology | Department of Robotics and Automation

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Co-Authors (7)

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Dr Anupkumar Bongale

Symbiosis Institute of Technology

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Dr Arunkumar Bongale

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Dr Ketan Kotecha

Symbiosis International University, Pune

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Scholarly Work

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Scholarly Publications

Remaining Useful-Life Prediction of the Milling Cutting Tool Using Time–Frequency-Based Features and Deep Learning Models

Open Access
Article
Authors: Sameer Sayyad;Satish Kumar;Arunkumar Bongale;Ketan Kotecha;Ajith Abraham

Fault Detection in Induction Motor Using Time Domain and Spectral Imaging-Based Transfer Learning Approach on Vibration Data

Open Access
Article
Authors: Sajal Misra;Satish Kumar;Sameer Sayyad;Arunkumar Bongale;Priya Jadhav;Ketan Kotecha;Ajith Abraham;Lubna Abdelkareim Gabralla

Tool wear prediction using long short-term memory variants and hybrid feature selection techniques

Open Access
Article
Authors: Sayyad S.;Kumar S.;Bongale A.;Kotecha K.;Selvachandran G.;Suganthan P.N.

Data-Driven Remaining Useful Life Estimation for Milling Process: Sensors, Algorithms, Datasets, and Future Directions

Open Access
journal-article
Authors: Sameer Sayyad;Satish Kumar;Arunkumar Bongale;Pooja Kamat;Shruti Patil;Ketan Kotecha
61 75

Estimating Remaining Useful Life in Machines Using Artificial Intelligence: A Scoping Review

Open Access
Article
Authors: Sayyad S.;Kumar S.;Bongale A.;Bongale A.M.;Patil S.
15

Data-Driven Remaining Useful Life Estimation for Milling Process: Sensors, Algorithms, Datasets, and Future Directions

Open Access
journal-article

Estimating Remaining Useful Life in Machines Using Artificial Intelligence: A Scoping Review

Open Access
journal-article