Yogesh Kumar

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 19

Top Topics

Systematic Review

Vehicle Detection

Artificial Intelligence

Top Venues

Multim. Tools Appl.

SN Comput. Sci.

Publications

Jagandeep Singh, Jasminder Kaur Sandhu, Yogesh Kumar
Metaheuristic-based hyperparameter optimization for multi-disease detection and diagnosis in machine learning. Serv. Oriented Comput. Appl. 18 (2) (2024)
Pranav Nair, Vinay Vakharia, Milind Shah, Yogesh Kumar, Marcin Wozniak, Jana Shafi, Muhammad Fazal Ijaz
AI-Driven Digital Twin Model for Reliable Lithium-Ion Battery Discharge Capacity Predictions. Int. J. Intell. Syst. 2024 (2024)
Sonam Gandotra, Yogesh Kumar, Nandini Modi, Jaeyoung Choi, Jana Shafi, Muhammad Fazal Ijaz
Comprehensive analysis of artificial intelligence techniques for gynaecological cancer: symptoms identification, prognosis and prediction. Artif. Intell. Rev. 57 (8) (2024)
Yogesh Kumar
A Comprehensive Analysis of Speech Recognition Systems in Healthcare: Current Research Challenges and Future Prospects. SN Comput. Sci. 5 (1) (2024)
Jigyasa Chadha, Aarti Jain, Yogesh Kumar
Satellite imagery-based Airbus ship localization and detection using deep learning-based approaches. Peer Peer Netw. Appl. 16 (3) (2023)
Yogesh Kumar, Apeksha Koul, Sukhpreet Kaur, Yu-Chen Hu
Machine Learning and Deep Learning Based Time Series Prediction and Forecasting of Ten Nations' COVID-19 Pandemic. SN Comput. Sci. 4 (1) (2023)
Nitika Arora, Yogesh Kumar
Automatic vehicle detection system in Day and Night Mode: challenges, applications and panoramic review. Evol. Intell. 16 (4) (2023)
Yogesh Kumar, Apeksha Koul, Chamkaur Singh
A deep learning approaches in text-to-speech system: a systematic review and recent research perspective. Multim. Tools Appl. 82 (10) (2023)
Yogesh Kumar, Apeksha Koul, Ruchi Singla, Muhammad Fazal Ijaz
Artificial intelligence in disease diagnosis: a systematic literature review, synthesizing framework and future research agenda. J. Ambient Intell. Humaniz. Comput. 14 (7) (2023)
Jigyasa Chadha, Aarti Jain, Yogesh Kumar
Artificial intelligence techniques in wireless sensor networks for accurate localization of user in floor, building and indoor area. Multim. Tools Appl. 81 (22) (2022)
Sandipan Sahu, Raghvendra Kumar, Mohd Shafi Pathan, Jana Shafi, Yogesh Kumar, Muhammad Fazal Ijaz
Movie Popularity and Target Audience Prediction Using the Content-Based Recommender System. IEEE Access 10 (2022)
Nitika Arora, Yogesh Kumar, Rashmi Karkra, Munish Kumar
Automatic vehicle detection system in different environment conditions using fast R-CNN. Multim. Tools Appl. 81 (13) (2022)
Khushboo Bansal, R. K. Bathla, Yogesh Kumar
Deep transfer learning techniques with hybrid optimization in early prediction and diagnosis of different types of oral cancer. Soft Comput. 26 (21) (2022)
Yogesh Kumar, Surabhi Kaul, Yu-Chen Hu
Machine learning for energy-resource allocation, workflow scheduling and live migration in cloud computing: State-of-the-art survey. Sustain. Comput. Informatics Syst. 36 (2022)
Komalpreet Kaur, Charanjit Singh, Yogesh Kumar
Artificial Intelligence Techniques for the Detections of Congenital Diseases: Challenges and Research Perspectives. IC3I (2022)
Yogesh Kumar, Apeksha Koul, Seema Mahajan
A deep learning approaches and fastai text classification to predict 25 medical diseases from medical speech utterances, transcription and intent. Soft Comput. 26 (17) (2022)
Bhumica Dhiman, Yogesh Kumar, Munish Kumar
Fruit quality evaluation using machine learning techniques: review, motivation and future perspectives. Multim. Tools Appl. 81 (12) (2022)
Simranjit Kaur, Khushboo Bansal, Yogesh Kumar
Artificial Intelligence approaches for Predicting Hypertension Diseases: Open Challenges and Research Issues. IC3I (2022)
Surabhi Kaul, Yogesh Kumar, Uttam Ghosh, Waleed S. Alnumay
Nature-inspired optimization algorithms for different computing systems: novel perspective and systematic review. Multim. Tools Appl. 81 (19) (2022)