Yogesh Kumar
Orcid: 0000-0002-2879-0441Affiliations:
- Pandit Deendayal Energy University, Gandhinagar, Gujarat, India
- Indus University, Department of Computer Engineering, Indus Institute of Technology and Engineering, Ahmedabad, India (former)
- Chandigarh Group of Colleges, Department of Computer Science and Engineering, Landran, Mohali, India (former)
- Punjabi University, Patiala, India (former)
According to our database1,
Yogesh Kumar
authored at least 29 papers
between 2020 and 2024.
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Bibliography
2024
An automated multi-classification of communicable diseases using ensemble learning for disease surveillance.
Int. J. Syst. Assur. Eng. Manag., August, 2024
Comprehensive analysis of artificial intelligence techniques for gynaecological cancer: symptoms identification, prognosis and prediction.
Artif. Intell. Rev., August, 2024
Metaheuristic-based hyperparameter optimization for multi-disease detection and diagnosis in machine learning.
Serv. Oriented Comput. Appl., June, 2024
A Comprehensive Analysis of Speech Recognition Systems in Healthcare: Current Research Challenges and Future Prospects.
SN Comput. Sci., January, 2024
AI-Driven Digital Twin Model for Reliable Lithium-Ion Battery Discharge Capacity Predictions.
Int. J. Intell. Syst., 2024
2023
Automatic vehicle detection system in Day and Night Mode: challenges, applications and panoramic review.
Evol. Intell., August, 2023
Artificial intelligence in disease diagnosis: a systematic literature review, synthesizing framework and future research agenda.
J. Ambient Intell. Humaniz. Comput., July, 2023
Satellite imagery-based Airbus ship localization and detection using deep learning-based approaches.
Peer Peer Netw. Appl., May, 2023
A deep learning approaches in text-to-speech system: a systematic review and recent research perspective.
Multim. Tools Appl., April, 2023
Machine Learning and Deep Learning Based Time Series Prediction and Forecasting of Ten Nations' COVID-19 Pandemic.
SN Comput. Sci., 2023
Proceedings of the 6th International Conference on Contemporary Computing and Informatics, 2023
2022
Machine learning for energy-resource allocation, workflow scheduling and live migration in cloud computing: State-of-the-art survey.
Sustain. Comput. Informatics Syst., 2022
A deep learning approaches and fastai text classification to predict 25 medical diseases from medical speech utterances, transcription and intent.
Soft Comput., 2022
A novel deep transfer learning models for recognition of birds sounds in different environment.
Soft Comput., 2022
Deep transfer learning techniques with hybrid optimization in early prediction and diagnosis of different types of oral cancer.
Soft Comput., 2022
SN Comput. Sci., 2022
Nature-inspired optimization algorithms for different computing systems: novel perspective and systematic review.
Multim. Tools Appl., 2022
Fruit quality evaluation using machine learning techniques: review, motivation and future perspectives.
Multim. Tools Appl., 2022
Artificial intelligence techniques in wireless sensor networks for accurate localization of user in floor, building and indoor area.
Multim. Tools Appl., 2022
Automatic vehicle detection system in different environment conditions using fast R-CNN.
Multim. Tools Appl., 2022
Movie Popularity and Target Audience Prediction Using the Content-Based Recommender System.
IEEE Access, 2022
Proceedings of the 5th International Conference on Contemporary Computing and Informatics, 2022
Artificial Intelligence Techniques for the Detections of Congenital Diseases: Challenges and Research Perspectives.
Proceedings of the 5th International Conference on Contemporary Computing and Informatics, 2022
Artificial Intelligence approaches for Predicting Hypertension Diseases: Open Challenges and Research Issues.
Proceedings of the 5th International Conference on Contemporary Computing and Informatics, 2022
2021
SN Comput. Sci., 2021
An Optimized Framework for Energy-Resource Allocation in a Cloud Environment based on the Whale Optimization Algorithm.
Sensors, 2021
Artif. Intell. Rev., 2021
2020
AI-Based Learning Techniques for Sarcasm Detection of Social Media Tweets: State-of-the-Art Survey.
SN Comput. Sci., 2020
Artificial Intelligence-based Learning Techniques for Diabetes Prediction: Challenges and Systematic Review.
SN Comput. Sci., 2020