Yogesh Kumar 0002 - researchr alias

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Viewing Publication 1 - 13 from 13

2024

A Comprehensive Analysis of Speech Recognition Systems in Healthcare: Current Research Challenges and Future ProspectsYogesh Kumar 0002. sncs, 5(1):137, January 2024. [doi]

2023

A deep learning approaches in text-to-speech system: a systematic review and recent research perspectiveYogesh Kumar 0002, Apeksha Koul, Chamkaur Singh. mta, 82(10):15171-15197, April 2023. [doi]

Artificial intelligence in disease diagnosis: a systematic literature review, synthesizing framework and future research agendaYogesh Kumar 0002, Apeksha Koul, Ruchi Singla, Muhammad Fazal Ijaz. jaihc, 14(7):8459-8486, July 2023. [doi]

Machine Learning and Deep Learning Based Time Series Prediction and Forecasting of Ten Nations' COVID-19 PandemicYogesh Kumar 0002, Apeksha Koul, Sukhpreet Kaur, Yu-Chen Hu. sncs, 4(1):91, 2023. [doi]

Automatic vehicle detection system in Day and Night Mode: challenges, applications and panoramic reviewNitika Arora, Yogesh Kumar 0002. evi, 16(4):1077-1095, August 2023. [doi]

Satellite imagery-based Airbus ship localization and detection using deep learning-based approachesJigyasa Chadha, Aarti Jain, Yogesh Kumar 0002. ppna, 16(3):1481-1498, May 2023. [doi]

2022

A deep learning approaches and fastai text classification to predict 25 medical diseases from medical speech utterances, transcription and intentYogesh Kumar 0002, Apeksha Koul, Seema Mahajan. soco, 26(17):8253-8272, 2022. [doi]

Machine learning for energy-resource allocation, workflow scheduling and live migration in cloud computing: State-of-the-art surveyYogesh Kumar 0002, Surabhi Kaul, Yu-Chen Hu. suscom, 36:100780, 2022. [doi]

Deep transfer learning techniques with hybrid optimization in early prediction and diagnosis of different types of oral cancerKhushboo Bansal, R. K. Bathla, Yogesh Kumar 0002. soco, 26(21):11153-11184, 2022. [doi]

Artificial intelligence techniques in wireless sensor networks for accurate localization of user in floor, building and indoor areaJigyasa Chadha, Aarti Jain, Yogesh Kumar 0002. mta, 81(22):31261-31294, 2022. [doi]

Nature-inspired optimization algorithms for different computing systems: novel perspective and systematic reviewSurabhi Kaul, Yogesh Kumar 0002, Uttam Ghosh, Waleed S. Alnumay. mta, 81(19):26779-26801, 2022. [doi]

Artificial Intelligence approaches for Predicting Hypertension Diseases: Open Challenges and Research IssuesSimranjit Kaur, Khushboo Bansal, Yogesh Kumar 0002. ic3i 2022: 338-343 [doi]

Artificial Intelligence Techniques for the Detections of Congenital Diseases: Challenges and Research PerspectivesKomalpreet Kaur, Charanjit Singh, Yogesh Kumar 0002. ic3i 2022: 888-893 [doi]

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