Yogesh Kumar

Orcid: 0000-0002-2879-0441

Affiliations:
  • 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 24 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
A Comprehensive Analysis of Speech Recognition Systems in Healthcare: Current Research Challenges and Future Prospects.
SN Comput. Sci., January, 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

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

Cancer Prognosis Using Artificial Intelligence-Based Techniques.
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

A Hybrid Deep Transfer Learning Approach For The Detection Of Vector-Borne Diseases.
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
Study of AI Techniques in Quality Educations: Challenges and Recent Progress.
SN Comput. Sci., 2021

An Optimized Framework for Energy-Resource Allocation in a Cloud Environment based on the Whale Optimization Algorithm.
Sensors, 2021

Study of automatic text summarization approaches in different languages.
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


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