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Apeksha Koul
Apeksha Koul
PhD Scholar, Computer Science and Engineering, Punjabi Univerisity
在 csepup.ac.in 的电子邮件经过验证
标题
引用次数
引用次数
年份
Artificial intelligence in disease diagnosis: a systematic literature review, synthesizing framework and future research agenda
Y Kumar, A Koul, R Singla, MF Ijaz
Journal of ambient intelligence and humanized computing 14 (7), 8459-8486, 2023
5222023
Heart failure detection using quantum‐enhanced machine learning and traditional machine learning techniques for internet of artificially intelligent medical things
Y Kumar, A Koul, PS Sisodia, J Shafi, K Verma, M Gheisari, MB Davoodi
Wireless Communications and Mobile Computing 2021 (1), 1616725, 2021
712021
A systematic review on metaheuristic optimization techniques for feature selections in disease diagnosis: open issues and challenges
S Kaur, Y Kumar, A Koul, S Kumar Kamboj
Archives of Computational Methods in Engineering 30 (3), 1863-1895, 2023
622023
Artificial intelligence techniques to predict the airway disorders illness: a systematic review
A Koul, RK Bawa, Y Kumar
Archives of Computational Methods in Engineering 30 (2), 831-864, 2023
442023
A deep learning approaches in text-to-speech system: a systematic review and recent research perspective
Y Kumar, A Koul, C Singh
Multimedia Tools and Applications 82 (10), 15171-15197, 2023
382023
Computational Intelligence and Metaheuristic Techniques for Brain Tumor Detection through IoMT‐Enabled MRI Devices
D Kaur, S Singh, W Mansoor, Y Kumar, S Verma, S Dash, A Koul
Wireless Communications and Mobile Computing 2022 (1), 1519198, 2022
312022
A deep learning approaches and fastai text classification to predict 25 medical diseases from medical speech utterances, transcription and intent
Y Kumar, A Koul, S Mahajan
Soft computing 26 (17), 8253-8272, 2022
282022
Pancreatic cancer detection using machine and deep learning techniques
A Gupta, A Koul, Y Kumar
2022 2nd International Conference on Innovative Practices in Technology and …, 2022
262022
Artificial intelligence in medical image processing for airway diseases
A Koul, RK Bawa, Y Kumar
Connected e-Health: Integrated IoT and cloud computing, 217-254, 2022
232022
Early prediction of neonatal jaundice using artificial intelligence techniques
Y Kumar, NP Patel, A Koul, A Gupta
2022 2nd international conference on innovative practices in technology and …, 2022
182022
Machine learning and deep learning based time series prediction and forecasting of ten nations’ COVID-19 pandemic
Y Kumar, A Koul, S Kaur, YC Hu
SN Computer Science 4 (1), 91, 2022
172022
A study on bladder cancer detection using AI-based learning techniques
A Koul, Y Kumar, A Gupta
2022 2nd International Conference on Technological Advancements in …, 2022
162022
An analysis of deep transfer learning-based approaches for prediction and prognosis of multiple respiratory diseases using pulmonary images
A Koul, RK Bawa, Y Kumar
Archives of Computational Methods in Engineering 31 (2), 1023-1049, 2024
52024
Semantic segmentation and contextual information based image scene interpretation: a review
A Koul, A Koul
2020 3rd International Conference on Information and Computer Technologies …, 2020
32020
Enhancing the detection of airway disease by applying deep learning and explainable artificial intelligence
A Koul, RK Bawa, Y Kumar
Multimedia Tools and Applications, 1-33, 2024
22024
Artificial intelligence-based learning techniques for accurate prediction and classification of colorectal cancer
Y Kumar, S Bansal, A Jariyal, A Koul
Applied Data Science and Smart Systems, 114-119, 2025
2025
Automated detection of conjunctivitis using convolutional neural network
RK Bawa, A Koul
Applied Data Science and Smart Systems, 91-97, 2025
2025
Automated diabetes diagnosis and risk assessment using machine learning
D Mathukiya, Y Kumar, A Koul
Next Generation Computing and Information Systems: Proceedings of the 2nd …, 2024
2024
AI-based image processing techniques for the automatic segmentation of human organs
S Gupta, A Koul
Elsevier, 2024
2024
Automated detection and recognition system for chewable food items using advanced deep learning models
Y Kumar, A Koul, Kamini, M Woźniak, J Shafi, MF Ijaz
Scientific Reports 14 (1), 6589, 2024
2024
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