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Dip Kumar Saha

Researcher at Rajshahi University of Engineering & Technology

Publications -  11
Citations -  292

Dip Kumar Saha is an academic researcher from Rajshahi University of Engineering & Technology. The author has contributed to research in topics: Computer science & Smart grid. The author has an hindex of 4, co-authored 11 publications receiving 36 citations.

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A Comprehensive Review of Available Battery Datasets, RUL Prediction Approaches, and Advanced Battery Management

TL;DR: In this paper, Li-ion battery RUL prediction algorithms and mathematical modelling are discussed. And a comparative study of Li-ION battery RULE prediction is provided together with the investigation of various RUL prognostic methods and mathematical modeling.
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An analytical review on the evaluation of wind resource and wind turbine for urban application: Prospect and challenges

TL;DR: In this article, the authors highlight the present status of urban wind farm technology and its commercial and environmental aspects and conclude that further investigation of wind mapping and the suitable design of turbines is essential to make the urban wind farms a reliable and feasible option for decentralized power generation.
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Graph Neural Network: A Comprehensive Review on Non-Euclidean Space

TL;DR: Graph Neural Networks (GNNs) as mentioned in this paper provide a generalized form to exploit non-euclidean space data by exploiting the relationships among graph data, which can be visualized as an aggregation of nodes and edges without having any order.
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Critical Design and Control Issues of Indoor Autonomous Mobile Robots: A Review

TL;DR: In this article, a survey of the essential factors of autonomous mobile robots in terms of mathematical modeling, control issues, and challenging factors is presented, and a guideline for researchers entering the field or for innovators in the mobile robotics sector is provided.
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A Survey on Fault Diagnosis and Fault Tolerant Methodologies for Permanent Magnet Synchronous Machines

TL;DR: This paper presents a comprehensive survey of fault diagnosis and fault tolerant approaches for permanent magnet synchronous machines (PMSM), beginning with mathematical modeling of PMSM and then scrutinizing various fault conditions in PMSMs.