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Sameer Sayyad
Observed name:
Sayyad, Sameer
Institution:
Symbiosis International University
Observed institution:
Symbiosis International University
ORCID:
0000-0001-5895-5350
Observed ORCID:
0000-0001-5895-5350
OpenAlex ID:
A5034054337
Data-Driven Remaining Useful Life Estimation for Milling Process: Sensors, Algorithms, Datasets, and Future Directions
2021
·
Sameer Sayyad
, Satish Kumar
, et al.
·
IEEE Access
·
145
PDF
Fault Detection in Induction Motor Using Time Domain and Spectral Imaging-Based Transfer Learning Approach on Vibration Data
2022
·
Sajal Misra
, Satish Kumar
, et al.
·
Sensors
·
72
PDF
Tool wear prediction using long short-term memory variants and hybrid feature selection techniques
2022
·
Sameer Sayyad
, Satish Kumar
, et al.
·
The International Journal of Advanced Manufacturing Technology
·
37
Remaining Useful-Life Prediction of the Milling Cutting Tool Using Time–Frequency-Based Features and Deep Learning Models
2023
·
Sameer Sayyad
, Satish Kumar
, et al.
·
Sensors
·
36
PDF
Estimating Remaining Useful Life in Machines Using Artificial Intelligence: A Scoping Review
2021
·
Sameer Sayyad
, Satish Kumar
, et al.
·
Lincoln (University of Nebraska)
·
16
PDF
Time-frequency analysis and autoencoder approach for network traffic anomaly detection
2025
·
Ruchira Purohit
, Satish Kumar
, et al.
·
MethodsX
·
6
Fault Classification of 3D-Printing Operations Using Different Types of Machine and Deep Learning Techniques
2024
·
Satish Kumar
, Sameer Sayyad
, et al.
·
AI
·
6
Towards Intelligent Manufacturing: Machine Learning, Deep Learning, and Computer Vision for Tool Wear Estimation in Milling and Micromilling Processes
2026
·
Vaibhav Joshi
, Sameer Sayyad
, et al.
·
Applied Sciences
·
5
PDF
Milling Tool Wear Estimation Using Machine Learning with Feature Extraction Approach
2024
·
Aarya Misal
, Hrishikesh Karandikar
, et al.
·
5
Adaptive and User-Friendly Framework for Image Classification with Transfer Learning Models
2025
·
Manan Khatri
, Manmita Sahoo
, et al.
·
Future Internet
·
3
PDF
Corrosion Image Classification using Deep Learning and Transfer Learning Approaches
2024
·
Aarya Misal
, Sameer Sayyad
·
Asian Conference on Innovation in Technology (ASIANCON)
·
3
Tool Wear Estimation Using Few-Shot Learning in Deep Neural Network Architectures
2024
·
Aarin Pandey
, Ananya Shetty
, et al.
·
2
Milling tool wear state classification and prediction using machine learning, homogeneous and heterogeneous ensemble learning approach
2026
·
Sameer Sayyad
, Satish Kumar
, et al.
·
Journal of remanufacturing
·
1
PDF
Mechanical Characterization of Short Carbon Fibre Reinforced Polyamide 66 Composites for Light-Duty Power and Motion Transmission Applications
2026
·
Choon Kit Chan
, Dilip S. Choudhari
, et al.
·
Engineered Science
·
1
PDF
Healthcare Monitoring Companion: The Social Robot
2024
·
Rahul Goraksha
, Arunkumar Bongale
, et al.
·
1
Systematic Study of Digital Twins for Welding Processes
2024
·
Vivek Warke
, Sameer Sayyad
, et al.
·
CRC Press eBooks
·
1
A Critical Review of Assisted Robotic Incremental Sheet Forming of AA5083 Aluminium Alloy: Technical Advances, Industrial Potential and Research Gaps
2026
·
Yuvraj Narwade
, Sameer Sayyad
, et al.
·
Journal of Manufacturing and Materials Processing
Taguchi optimization of hardness and wear characteristics of Co–Cr reinforced bronze hybrid composites fabricated by powder metallurgy
2026
·
R. Sreenivasa
, S. S. Kallesh
, et al.
·
Discover Materials
A review of small object detection in the deep learning era advancements, challenges and future trends
2026
·
Manoj Avhad
, Pooja Kamat
, et al.
·
Discover Artificial Intelligence
Sustainable assessment of high-temperature solid particle erosion behaviour of Ti–6Al–5Zr–0.5Mo–0.2Si via experimental and data-driven approaches
2026
·
S. Shashikumar
, Yogesh Bhikusing Jadhao
, et al.
·
Journal of Materials Science Materials in Engineering
Optimization of Wear Rate in Tungsten–Copper Metal Matrix Composites: A Robust Design Approach
2026
·
Chandrashekhar R. Ingle
, Aniruddha M. Nikalje
, et al.
·
Journal of The Institution of Engineers (India) Series D
Multi-Sensor Tool Wear End Milling (MSTW EndMill) Dataset
2026
·
Sayyad, Sameer
, Kumar, Satish
, et al.
·
Figshare
Graph neural network-based remaining useful life prediction of milling tools using multi-sensor data
2026
·
Satish Kumar
, Dhruvi Ramaiya
, et al.
·
Discover Applied Sciences
Analysis of the Breaking Strength & Elongation of Carbon Fiber/Nylon-66 Hybrid Composites
2026
·
Prasanna C. Kattimani
, Vivek Gupta
, et al.
·
Engineered Science
PDF
Radio fingerprint-based UAV detection and identification using discrete wavelet feature extraction and deep learning approaches
2026
·
Khush Attarde
, Sameer Sayyad
, et al.
·
International Journal of System of Systems Engineering
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Works count:
32
Citation count:
338
H-index:
6
I10-index:
5
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