What is he best known for?
The fields of study he is best known for:
- Internal medicine
- Botany
- Quantum mechanics
Anil Kumar focuses on Artificial intelligence, Pattern recognition, Thresholding, Algorithm and Control theory.
The Artificial intelligence study combines topics in areas such as Particle swarm optimization, Cuckoo search and Computer vision.
His Pattern recognition research is multidisciplinary, incorporating elements of Speech recognition, Spectral density, Peak signal-to-noise ratio, Instantaneous phase and Noise reduction.
Anil Kumar interconnects Segmentation, Image segmentation, Brute-force search, Color image and Balanced histogram thresholding in the investigation of issues within Thresholding.
His work on Distortion expands to the thematically related Algorithm.
The study incorporates disciplines such as Elliptic filter, Vibration, Ride quality, Damper and Filter bank in addition to Control theory.
His most cited work include:
- Cuckoo search algorithm and wind driven optimization based study of satellite image segmentation for multilevel thresholding using Kapur's entropy (298 citations)
- Modified artificial bee colony based computationally efficient multilevel thresholding for satellite image segmentation using Kapur's, Otsu and Tsallis functions (208 citations)
- Tsallis entropy based multilevel thresholding for colored satellite image segmentation using evolutionary algorithms (118 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of study are Agronomy, Horticulture, Artificial intelligence, Veterinary medicine and Algorithm.
His Agronomy study is mostly concerned with Crop, Sowing, Yield and Crop yield.
His Artificial intelligence study combines topics from a wide range of disciplines, such as Computer vision and Pattern recognition.
Anil Kumar works in the field of Veterinary medicine, namely Forensic science.
He most often published in these fields:
- Agronomy (10.59%)
- Horticulture (8.63%)
- Artificial intelligence (6.09%)
What were the highlights of his more recent work (between 2018-2021)?
- Horticulture (8.63%)
- Agronomy (10.59%)
- Artificial intelligence (6.09%)
In recent papers he was focusing on the following fields of study:
His primary areas of investigation include Horticulture, Agronomy, Artificial intelligence, Pattern recognition and Algorithm.
Anil Kumar studies Horticulture, namely Yield.
His Yield study frequently draws connections between adjacent fields such as Field experiment.
His study of Crop is a part of Agronomy.
Anil Kumar does research in Artificial intelligence, focusing on Artificial neural network specifically.
His biological study focuses on Cuckoo search.
Between 2018 and 2021, his most popular works were:
- Semi-active Control to Reduce Lateral Vibration of Passenger Rail Vehicle Using Disturbance Rejection and Continuous State Damper Controllers (26 citations)
- Empirical correlations development for heat transfer and friction factor of a solar rectangular air passage with spherical-shaped turbulence promoters (24 citations)
- Contribution of microbial phytases to the improvement of plant growth and nutrition: A review (21 citations)
In his most recent research, the most cited papers focused on:
- Internal medicine
- Botany
- Quantum mechanics
Anil Kumar spends much of his time researching Artificial intelligence, Algorithm, Pattern recognition, Thermal and Mechanics.
The various areas that Anil Kumar examines in his Algorithm study include Image quality, Entropy and Mean squared error.
His work in Entropy is not limited to one particular discipline; it also encompasses Gamma correction.
His Pattern recognition study incorporates themes from Artificial neural network and Thresholding.
His Mechanics research focuses on Heat transfer and Nanofluid.
His Heat transfer research is multidisciplinary, incorporating perspectives in Tube and Heat exchanger.
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