Computer Science, Computer Engineering, Computer Networks and Communications, Artificial Intelligence
7
Scopus Publications
23
Scholar Citations
3
Scholar h-index
Scopus Publications
Comparative analysis of machine learning classifiers and deep learning models for categorization of Knee Osteoarthritis Arpit Deo, Manish Korde, Amit Khatri, Aman Jain, Ashish Kumawat, Vineeta Rathore EPJ Web of Conferences, 2025 Knee Osteoarthritis also known as KOA is a disease in which there is so much pain, stiffness and it also limits the mobility of patient, if not cured at right time it can lead to disablement due to degeneration of articular cartilage in knee joint. Due to limited mobility , its treatment and diagnosis are very challenging, especially when there is lack of devices and technologies for precise identification and tracking of this disease’s progression at right time. There is a very common method known as “Kellgren-Lawrence (KL) grading” by which degree of Osteoarthritis is determined. The scale of KL grading ranges from ‘0’ to ‘4’ where 0 is ‘no osteoarthritis’ and 4 is ‘severe osteoarthritis. By using machine learning and deep learning, this work presented a approach that improves the accuracy of classification of KOA and its level diagnosis by using X-ray images. In this research work, feature extraction techniques such Global Average Pooling, Min–Max scaling, Histogram of Oriented Gradients (HOG) along with another technique called Linear Discriminant Analysis (LDA) applied on Xray dataset. The study evaluates two Machine Learning classifiers which were Support Vector Machine (SVM) and XGBoost which both are optimized through GridSearchCV for hyperparameter tuning and two deep learning models EfficientNetB6 and EfficientNetB7 which both were fine tuned. The proposed approach evaluates the knee X-ray images and assigns them to one of 0, 1, 2, 3, or 4 grades in order to automate KL grading. From the experimental results, it is concluded that the XGBoost classifier performed the best with 97.00 % accuracy.
An Efficient Hybrid Deep Learning Model for Detecting Musculoskeletal Abnormalities Arpit Deo, Priyasha Gupta, Karnika Deveradi, Kashish Patidar, Ashish Kumawat, Pankaj Malik IEEE International Conference on Computational Communication and Information Technology Icccit 2025, 2025 Deep Convolutional Neural Networks (DCNNs) have made tremendous advances in healthcare, but their limited perceptual capacities make it difficult to capture extensive structural details. To solve this restriction, this study presents a new technique which integrates the benefits of EfficientNet to perform local data extraction with DenseNet201 for processing global characteristics in pictures. The MURA dataset, which contains 40,005 radiographic pictures, is used in the project with the goal of enhancing radiographic image categorization, notably for identifying Musculoskeletal disorders. The goal of the project is to accomplish a more thorough analysis of radiological pictures by successfully collecting global as well as local information via the fusion of EfficientNet and DenseNet201. The proposed approach shows positive outcomes, with the combined approach obtaining an overall accuracy of 96.38% on the test dataset and a sensitivity of 0.90.
A Review of EEG Artifact Removal Methods for Brain-Computer Interface Applications Safdar Sardar Khan, Jaskirat Singh Sudan, Anuj Pathak, Rakesh Pandit, Pinky Rane, Ashish Kumar Kumawat Ingenierie Des Systemes D Information, 2024 The use of electroencephalogram signals in brain-computer interface Applications is widely used in Neuroscience.EEG records electrical activity in the brain but can also capture unwanted electrical activities called artifacts.They can originate from environmental noise, experimental errors, and physiological sources.To address these challenges, EEG Data Analysis involves different data preprocessing and statistical techniques.This systematic review conducted on more than 25 papers, aims to provide an overview of various types of artifacts such as extrinsic and intrinsic artifacts and methods available for removing those artifacts from EEG signals.Each approach presents unique advantages and challenges, contributing to the enhancement of the quality and reliability of EEG data for accurate analysis and interpretation.
Automate Personal Voice Based Assistant Using Python Vedika Jain, Yogendra Patidar, Utsav Jain, Vanshita Parwal, Ashish Kumar Kumawat, Sumitra Sureliya 2024 4th Asian Conference on Innovation in Technology Asiancon 2024, 2024 The main purpose of this implementation is to enable natural commerce between humans and machines. Numerous IT companies are using dialogue system technology to establish different kinds of virtual particular sidekicks (VPAs) grounded on operations and disciplines to enhance mortal-machine commerce. For example, Microsoft's Cortina, Apple's Siri, Amazon’s Alexa, Google Assistant. We created our own Python Desktop Assistant, an intelligent software application designed to facilitate user productivity and simplify many tasks in the desktop or computer environment. This paper provides an overview of the key features, functionalities, and potential applications of this desktop assistant. We used Python as a programming language because it has a large library to execute command. Using the Python installation package, assistant can recognize and further process your voice. Voice assistant is a major advancement assistant in artificial intelligence and could change people's lifestyle in other ways as well.
Handwriting Verifier with Help of Combined SVM-HMM Classifier Used with Curvelet Transformation Ashish Kumar Kumawat, Sarika Khandelwal Proceedings of the 2nd International Conference on Trends in Electronics and Informatics Icoei 2018, 2018 Handwriting Verifier is considered as important research field in the filled of forensic and biometric applications. It finds significance in fields like graphically which exploit the physiological performance of the human based on the handwriting. At this time too many technique are available for Handwriting verifier. Although no one of the techniques is yet proved to be clarify for large number of object. That's also fact that all the pattern of writing will be differ of any human with the time. HMM is the best technique for the verifier the writing for large number of object but its vector feature give differ patter verifier like retina verifier, used their training and test sample may vary. Hence Verifier of same tough. Therefore in this work we propose a technique for Handwriting Verifier with help of combined SVM and HMM. In this work curvelet transform are used predominantly for alphabet and numeric verifier problem and hence are more suitable for this work. SVM is also given good efficiency but not in the large object. Hence we develop a new classifier and show that the method performs better than self-sufficient HMM and SVM classifier.
A Survey on Face Recognition Algorithm Vishakha Mehta, Sarika Khandelwal, Ashish Kumar Kumawat Proceedings of the 2nd International Conference on Trends in Electronics and Informatics Icoei 2018, 2018 Biometric identification is one of the most widely used technique for the identification of human being. Face recognition system is a type of biometric identification. Face recognition system is used to identify a person from the digital image of his/her face. The objective of this paper is to present a survey of face recognition methods and algorithms based on these method. In this paper, we presented an overview of the methods used for face recognition. This paper provides review on most used technique in this domain, the review on algorithms includes PCA, KPCA, LDA, SVM, SIFT etc.
Analysis of timing constraint on combined SVM-HMM classifier and SVM classifier Ashish Kumar Kumawat, Sarika Khandelwal Proceedings of the 2013 IEEE International Conference in Mooc Innovation and Technology in Education Mite 2013, 2013 In Handwriting Verifier Timing constraint is very crucial part which have used in the SVM Classifier, these have using the more time for the large number of sample and get the less accuracy. When there is used the Combined SVM-HMM so that has taken less time for the analysis the large sample and give better accuracy than SVM. That all time has evaluated with the curvelet transform and make a digital clock pulse in form of 1's and 0's. Which have calculate in the invariant movement with the wavelength from the trained data image and replace them, on the place of selected writing image, than make an metric of binary number and calculate them with the method of invariant curve let, thereafter compare the character on the time of the calculate image binary code and make an metrics on the striate line of SVM-HMM in terms of 1's and 0's.
RECENT SCHOLAR PUBLICATIONS
An Efficient Hybrid Deep Learning Model for Detecting Musculoskeletal Abnormalities A Deo, P Gupta, K Deveradi, K Patidar, A Kumawat, P Malik 2025 International Conference on Computational, Communication and … , 2025 2025
Comparative analysis of machine learning classifiers and deep learning models for categorization of Knee Osteoarthritis A Deo, M Korde, A Khatri, A Jain, A Kumawat, V Rathore EPJ Web of Conferences 328, 01023 , 2025 2025
Automate personal voice based assistant using Python V Jain, Y Patidar, U Jain, V Parwal, AK Kumawat, S Sureliya 2024 4th Asian Conference on Innovation in Technology (ASIANCON), 1-5 , 2024 2024 Citations: 2
Modeling the Detection and Classification of Tomato Leaf Diseases Using a Robust Deep Learning Framework M Gupta, D Yadav, SS Khan, AK Kumawat, A Chourasia, P Rane, ... Traitement du Signal 41 (4), 1667 , 2024 2024 Citations: 3
ONLINE EXAMINTATION SYSTEM YP 1 ASHISH KUMAWAT, 2 SHIVANGI ROY, 3YASH JAIN, 4VAISHALI YADAV INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT 9 (5 May 2024), 2456 … , 2024 2024
EmoCuisine: Emotion-Based Restaurant Recommendation System KC Sumitra Sureliya , Subrata Kanungo , Ashish Kumawat , Ashi Gour , Avani ... INTERNATIONAL JOURNAL OF PROGRESSIVE RESEARCH IN SCIENCE AND ENGINEERING, 5 … , 2024 2024
Decoding Cab Dynamics: A Comprehensive Analysis of Ride-hailing Data A Kumawat, R Litoriya, V Chourasia, V Yadav, V Dangi 2024 Citations: 1
A review of EEG artifact removal methods for brain-computer interface applications SS Khan, JS Sudan, A Pathak, R Pandit, P Rane, AK Kumawat Ingenierie des Systemes d'Information 29 (1), 247 , 2024 2024 Citations: 9
A NOVEL MACHINE LEARNING BASED MODEL FOR ENHANCING CROP PRODUCTION USING INTERNET OF THINGS AKKDPMKJSSMSDP Rane IN Patent 24/2,023 , 2023 2023
ANALYSIS OF CLICKSTREAM DATA A Jain, A Kumawat 2022
VERIFIER TECHNIQUE FOR HUMAN WRITING HMM SVM METHOD DMP Ashish Kumar Kumawat JETIR 5 (8), 2349-5162 , 2018 2018
A Survey on Face Recognition Algorithm V Mehta, S Khandelwal, AK Kumawat 2018 2nd International Conference on Trends in Electronics and Informatics … , 2018 2018 Citations: 7
Handwriting Verifier with Help of Combined SVM-HMM Classifier Used with Curvelet Transformation AK Kumawat, S Khandelwal 2018 2nd International Conference on Trends in Electronics and Informatics … , 2018 2018
Analysis of timing constraint on combined SVM-HMM classifier and SVM classifier AK Kumawat, S Khandelwal 2013 IEEE International Conference in MOOC, Innovation and Technology in … , 2013 2013 Citations: 1
MOST CITED SCHOLAR PUBLICATIONS
A review of EEG artifact removal methods for brain-computer interface applications SS Khan, JS Sudan, A Pathak, R Pandit, P Rane, AK Kumawat Ingenierie des Systemes d'Information 29 (1), 247 , 2024 2024 Citations: 9
A Survey on Face Recognition Algorithm V Mehta, S Khandelwal, AK Kumawat 2018 2nd International Conference on Trends in Electronics and Informatics … , 2018 2018 Citations: 7
Modeling the Detection and Classification of Tomato Leaf Diseases Using a Robust Deep Learning Framework M Gupta, D Yadav, SS Khan, AK Kumawat, A Chourasia, P Rane, ... Traitement du Signal 41 (4), 1667 , 2024 2024 Citations: 3
Automate personal voice based assistant using Python V Jain, Y Patidar, U Jain, V Parwal, AK Kumawat, S Sureliya 2024 4th Asian Conference on Innovation in Technology (ASIANCON), 1-5 , 2024 2024 Citations: 2
Decoding Cab Dynamics: A Comprehensive Analysis of Ride-hailing Data A Kumawat, R Litoriya, V Chourasia, V Yadav, V Dangi 2024 Citations: 1
Analysis of timing constraint on combined SVM-HMM classifier and SVM classifier AK Kumawat, S Khandelwal 2013 IEEE International Conference in MOOC, Innovation and Technology in … , 2013 2013 Citations: 1
An Efficient Hybrid Deep Learning Model for Detecting Musculoskeletal Abnormalities A Deo, P Gupta, K Deveradi, K Patidar, A Kumawat, P Malik 2025 International Conference on Computational, Communication and … , 2025 2025
Comparative analysis of machine learning classifiers and deep learning models for categorization of Knee Osteoarthritis A Deo, M Korde, A Khatri, A Jain, A Kumawat, V Rathore EPJ Web of Conferences 328, 01023 , 2025 2025
ONLINE EXAMINTATION SYSTEM YP 1 ASHISH KUMAWAT, 2 SHIVANGI ROY, 3YASH JAIN, 4VAISHALI YADAV INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT 9 (5 May 2024), 2456 … , 2024 2024
EmoCuisine: Emotion-Based Restaurant Recommendation System KC Sumitra Sureliya , Subrata Kanungo , Ashish Kumawat , Ashi Gour , Avani ... INTERNATIONAL JOURNAL OF PROGRESSIVE RESEARCH IN SCIENCE AND ENGINEERING, 5 … , 2024 2024
A NOVEL MACHINE LEARNING BASED MODEL FOR ENHANCING CROP PRODUCTION USING INTERNET OF THINGS AKKDPMKJSSMSDP Rane IN Patent 24/2,023 , 2023 2023
ANALYSIS OF CLICKSTREAM DATA A Jain, A Kumawat 2022
VERIFIER TECHNIQUE FOR HUMAN WRITING HMM SVM METHOD DMP Ashish Kumar Kumawat JETIR 5 (8), 2349-5162 , 2018 2018
Handwriting Verifier with Help of Combined SVM-HMM Classifier Used with Curvelet Transformation AK Kumawat, S Khandelwal 2018 2nd International Conference on Trends in Electronics and Informatics … , 2018 2018
