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 46 papers between 2013 and 2025.

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

Timeline

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Bibliography

2025
Physiological signal-based mental stress detection using hybrid deep learning models.
Discov. Artif. Intell., December, 2025

Predicting Paediatric Brain Disorders from MRI Images Using Advanced Deep Learning Techniques.
Neuroinformatics, April, 2025

Design and development of Dogri extractive summarization model for automated summary generation.
Int. J. Digit. Libr., March, 2025

2024
Mental Disorders Prognosis and Predictions Using Artificial Intelligence Techniques: a Comprehensive Study.
SN Comput. Sci., December, 2024

Hybrid Deep Learning Approaches for Human Activity Recognition and Postural Transitions Using Mobile Device Sensors.
SN Comput. Sci., October, 2024

Enhancing the detection of airway disease by applying deep learning and explainable artificial intelligence.
Multim. Tools Appl., September, 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

Hybrid deep learning based automatic speech recognition model for recognizing non-Indian languages.
Multim. Tools Appl., March, 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
A New Angle Set-Based Absolute Scaling-free Reconfigurable Cordic Algorithm.
Circuits Syst. Signal Process., December, 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

An automatic speech recognition system in Indian and foreign languages: A state-of-the-art review analysis.
Intell. Decis. Technol., 2023

DOMINER: Domain Feature Mining from Unstructured Data for Effective Text Summarization.
Proceedings of the International Conference on Machine Learning and Data Engineering, 2023

Enhanced Metaheuristic Based Hyper-Parameters Tuning for Learning Models.
Proceedings of the 6th International Conference on Contemporary Computing and Informatics, 2023

Artificial Intelligence-Based Learning Approaches for Medical Imaging.
Proceedings of the 6th International Conference on Contemporary Computing and Informatics, 2023

Influenza Flu Diagnostics and Detection using Artificial Intelligence-based Learning Approaches: Challenges and Recent Study.
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

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

ENDURA : Enhancing Durability of Multi Level Cell STT-RAM based Non Volatile Memory Last Level Caches.
Proceedings of the 30th IFIP/IEEE 30th International Conference on Very Large Scale Integration, 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

A Modified Radix-16 CORDIC Algorithm-based Direct Digital Frequency Synthesizer.
Proceedings of the 5th International Conference on Contemporary Computing and Informatics, 2022

2021
AutoSSR: an efficient approach for automatic spontaneous speech recognition model for the Punjabi Language.
Soft Comput., 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
A Novel Self-Organizing Approach to Automatic Traffic Light Management System for Road Traffic Network.
Wirel. Pers. Commun., 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

2013
Optimization of logistic distribution centers process planning and scheduling.
Proceedings of the Sixth International Conference on Contemporary Computing, 2013


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