Ashwani Kumar Dubey

ORCID: 0000-0003-0778-9262
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About
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Research Areas
  • Smart Agriculture and AI
  • Spectroscopy and Chemometric Analyses
  • Leaf Properties and Growth Measurement
  • Industrial Vision Systems and Defect Detection
  • Network Time Synchronization Technologies
  • Image and Signal Denoising Methods
  • Advanced Image Processing Techniques
  • Image Enhancement Techniques
  • Advanced Image Fusion Techniques
  • Advanced Neural Network Applications
  • Date Palm Research Studies
  • Cutaneous Melanoma Detection and Management
  • Energy Efficient Wireless Sensor Networks
  • EEG and Brain-Computer Interfaces
  • Image Processing Techniques and Applications
  • Medical Image Segmentation Techniques
  • Image and Object Detection Techniques
  • Video Surveillance and Tracking Methods
  • Remote Sensing in Agriculture
  • Lepidoptera: Biology and Taxonomy
  • AI in cancer detection
  • Advanced Chemical Sensor Technologies
  • Image Retrieval and Classification Techniques
  • Thermography and Photoacoustic Techniques
  • IoT and Edge/Fog Computing

Amity University
2016-2024

Indian Institute of Technology Patna
2024

Guru Gobind Singh Indraprastha University
2022-2023

Galgotias University
2022

Weatherford College
2022

Amity University
2016-2020

Lincoln Electric (United States)
2020

Krishna University
2019-2020

Jamia Millia Islamia
2012-2019

Netaji Subhash Chandra Bose Medical College
2019

10.1016/j.ijepes.2014.06.049 article EN International Journal of Electrical Power & Energy Systems 2014-07-16

Railway track monitoring is a challenging task to avoid railway accidents due failures. There are lot many issues involved in the but major involvement use of defective tracks. The aim this paper present novel visual inspection technique for detection, marking, and visualization defected portion In paper, maximally stable extremal region used identify visualize geometrical features regions on rail head surface images. Here, three classes defects have been taken. results very promising...

10.1109/jsen.2016.2615333 article EN IEEE Sensors Journal 2016-10-05

This paper elaborated the fruit quality detection technique which was based on external properties of fruits such as shape, size and color. Due to large demand, manual monitoring are ineffectual for agriculture industry. So, it requires a competent will help industry full fill demand consumer. The proposed method is use speeded up robust feature. extracts local feature segmented image describes object recognition. objective design defect algorithm be used extraction descriptor having less...

10.1109/icrito.2016.7785023 article EN 2022 10th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO) 2016-09-01

Purpose This paper aims to implement and extend the You Only Live Once (YOLO) algorithm for detection of objects activities. The advantage YOLO is that it only runs a neural network once detect in an image, which why powerful fast. Cameras are found at many different crossroads locations, but video processing feed through object allows determining tracking what captured. Video Surveillance has applications such as Car Tracking people related crime prevention. provides exhaustive comparison...

10.1108/ijwis-01-2023-0006 article EN International Journal of Web Information Systems 2023-04-19

Efficient and low power utilizing clock synchronization is a challenging task for wireless-sensor network (WSN). Therefore, it crucial to design light weight protocols these networks. An adaptive offset prediction model WSN proposed in this paper that exchanges fewer messages improve the accuracy efficiency. Timing information required collected by setting small set up investigate soil condition control irrigation agriculture. The networks soils moisture, temperature, humidity, pressure...

10.1109/jsen.2018.2818302 article EN IEEE Sensors Journal 2018-03-22

Plant diseases and pests are important factors in determining crop yield quality. not only a threat to food security on global scale but can also have devastating consequences for farmers whose livelihood depend healthy crops. The detection of plant is fundamental importance practical agricultural production. It controls the growth health ensures regular operation successful harvest plantations. disease affecting plants determined by such as climate. This paper examines an alternative...

10.1109/cicn56167.2022.10008235 article EN 2022 14th International Conference on Computational Intelligence and Communication Networks (CICN) 2022-12-04

Numerous industrial processes are based on the application of phenolic compounds such as Bisphenol-A (BPA), which is used a monomer and additive in plastics, resins, coatings manufacturing. Many highly toxic responsible for high pollution food, water, soil. The endocrine disrupting activities BPA makes it an emerging environmental pollutant. most common source release into environment from plastic packaging. This leakage packaging facilitated by heat pH conditions speeds up hydrolysis ester...

10.1109/jsen.2018.2792476 article EN IEEE Sensors Journal 2018-01-12

In image processing, leaf shape recognition requires a huge database of similar images. Normal construction more time and space. On the other hand, mobile offline applications are not able to contain with high pixel ratio. To solve this problem, mainly in medicinal plant identification, small descriptors necessary completely provide required information. Presently, Botanists use reference table recognize following shapes leaf: ovate, cordate, elliptical, oblong, lanceolate linear. As numbers...

10.1109/jsen.2020.3002909 article EN IEEE Sensors Journal 2020-06-16

India is an agriculture-based economy with agriculture being the primary sector of and contributing to more than 18% total GDP employing approximately 60% population country directly indirectly. Also, one leading producers food crops like wheat, rice, millets pulses wheat rice most cultivated ones making it second largest producer just behind China. Till date, in many parts world, staple for millions people. Yet, due various reasons, agricultural lagging far other sectors terms embracing...

10.1109/cises54857.2022.9844413 article EN 2022 International Conference on Computational Intelligence and Sustainable Engineering Solutions (CISES) 2022-05-20

Battery management systems in electric/hybrid vehicles are entirely based on accurate and reliable state estimation techniques. Consideration of combined effects temperature, internal resistance rise, capacity loss is essential to accurately estimate the current charge (SOC) battery. Most existing algorithms fail capture aforementioned variables. Moreover, an analysis inter-dependencies between states parameters related driving conditions required. The main contribution this paper introduce...

10.1109/tits.2022.3224561 article EN IEEE Transactions on Intelligent Transportation Systems 2022-11-29

Noninvasive real time visual monitoring systems are more demanding in the field of automation because their high reliability, robustness, fast execution time, portability, and flexibility. In this paper, a novel architecture detection algorithm has been developed to identify geometrical statistical features position pointer's image from captured indicating type meters time. our view, system following stages: 1) acquisition; 2) pre-processing; 3) segmentation; 4) feature extraction; 5)...

10.1109/jsen.2012.2231940 article EN IEEE Sensors Journal 2012-12-08

Pest detection is crucial to secure crops and ensure food quality. A lot of work being carried out for the effective identification pests. In this paper we will develop a novel fast methodology detect enumerate pests present in an image using rapid feature algorithm. The amount pesticides used agriculture pollutes environment, with sophisticated machine vision systems that implement algorithm can make machines utilize effectively by selective targeting processing. current scenario, human...

10.1109/ccaa.2017.8229828 article EN 2017-05-01
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