What is he best known for?
The fields of study he is best known for:
- Electrical engineering
- Artificial intelligence
- Statistics
His scientific interests lie mostly in Artificial intelligence, Pattern recognition, Thresholding, Control theory and Cuckoo search.
His studies in Artificial intelligence integrate themes in fields like Algorithm and Transmission line.
His work in the fields of Pattern recognition, such as Discrete wavelet transform, overlaps with other areas such as Singular value.
His study explores the link between Thresholding and topics such as Image segmentation that cross with problems in Peak signal-to-noise ratio.
His Control theory research incorporates themes from Power factor, Harmonics, Stator, Harmonic and Leakage inductance.
Girish Kumar Singh has researched Cuckoo search in several fields, including Evolutionary algorithm and Differential evolution.
His most cited work include:
- Solar power generation by PV (photovoltaic) technology: A review (512 citations)
- Multi-phase induction machine drive research—a survey (332 citations)
- Cuckoo search algorithm and wind driven optimization based study of satellite image segmentation for multilevel thresholding using Kapur's entropy (298 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Control theory, Artificial intelligence, Algorithm, Pattern recognition and Prototype filter.
His research in Control theory intersects with topics in Elliptic filter, Phase, Control engineering and Induction generator, Voltage.
His research on Artificial intelligence often connects related topics like Computer vision.
His research integrates issues of Frequency response and Passband in his study of Algorithm.
His Prototype filter research incorporates elements of Electronic engineering and Filter bank.
As a part of the same scientific study, Girish Kumar Singh usually deals with the Electronic engineering, concentrating on Fault and frequently concerns with Electric power system.
He most often published in these fields:
- Control theory (36.00%)
- Artificial intelligence (24.40%)
- Algorithm (22.80%)
What were the highlights of his more recent work (between 2018-2021)?
- Artificial intelligence (24.40%)
- Pattern recognition (17.60%)
- Algorithm (22.80%)
In recent papers he was focusing on the following fields of study:
His main research concerns Artificial intelligence, Pattern recognition, Algorithm, Control theory and Artificial neural network.
His Artificial intelligence research is multidisciplinary, incorporating elements of Frequency domain and Identification.
His Pattern recognition research is multidisciplinary, incorporating perspectives in Entropy and Image database.
The various areas that Girish Kumar Singh examines in his Algorithm study include Filter, Filter design and Thresholding.
Girish Kumar Singh interconnects Phase, Reduction, Stability, Induction generator and Rotor in the investigation of issues within Control theory.
His Artificial neural network research focuses on subjects like Fuzzy logic, which are linked to Histopathology, Magnification and Adaptive system.
Between 2018 and 2021, his most popular works were:
- A context sensitive multilevel thresholding using swarm based algorithms (16 citations)
- Design of Bandpass and Bandstop Infinite Impulse Response Filters Using Fractional Derivative (12 citations)
- Image Segmentation Using Multilevel Thresholding: A Research Review (11 citations)
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