Zobrazeno 1 - 10 of 18 pro vyhledávání: '"Md Ezaz Ahmed"'
1
Akademický článek
Artificial Intelligence Techniques for Landslides Prediction Using Satellite Imagery
Autor: Akanksha Sharma, Shakti Raj Chopra, Suhas Gajanan Sapate, Krishan Arora, Mohammad Khalid Imam Rahmani, Sudan Jha, Sultan Ahmad, Md Ezaz Ahmed, Hikmat A. M. Abdeljaber, Jabeen Nazeer
Publikováno v: IEEE Access, Vol 12, Pp 117318-117334 (2024)
In hilly areas, landslides can occur due to natural factors such as heavy rainfall, earthquakes, moisture in soil, or man-made factors like unplanned constructions. Landslides can be disastrous leading to a huge loss of property and lives which can b
Externí odkaz: https://doaj.org/article/e5b93d2308154a44a6a08585782a7c30
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2
Akademický článek
Stacked Deep Dense Neural Network Model to Predict Alzheimer’s Dementia Using Audio Transcript Data
Autor: Yusera Farooq Khan, Baijnath Kaushik, Mohammad Khalid Imam Rahmani, Md Ezaz Ahmed
Publikováno v: IEEE Access, Vol 10, Pp 32750-32765 (2022)
Alzheimer’s disease (AD) is caused by cortical degeneration leading to memory loss and dementia. A possible criterion for the early identification of Alzheimer’s dementia is to identify the difference between positive and negative linguistic and
Externí odkaz: https://doaj.org/article/2129678041f04d4daf5c4bc7940a60a7
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3
Akademický článek
HSI-LFS-BERT: Novel Hybrid Swarm Intelligence Based Linguistics Feature Selection and Computational Intelligent Model for Alzheimer’s Prediction Using Audio Transcript
Autor: Yusera Farooq Khan, Baijnath Kaushik, Mohammad Khalid Imam Rahmani, Md. Ezaz Ahmed
Publikováno v: IEEE Access, Vol 10, Pp 126990-127004 (2022)
Alzheimer’s dementia (AD) affects memory, language, and cognition and worsens over time. Therefore, it is critical to develop a reliable method for early detection of permanent brain atrophy and cognitive impairment. This study used clinical transc
Externí odkaz: https://doaj.org/article/7c6ebc23b995464f9f79376bd4d91f10
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4
Akademický článek
Cryptographic Solution-Based Secure Elliptic Curve Cryptography Enabled Radio Frequency Identification Mutual Authentication Protocol for Internet of Vehicles
Autor: Surbhi Sharma, Baijnath Kaushik, Mohammad Khalid Imam Rahmani, Md. Ezaz Ahmed
Publikováno v: IEEE Access, Vol 9, Pp 147114-147128 (2021)
Internet of Vehicles (IoV) is one of the most active research disciplines in Intelligent Transportation Systems (ITS), intending to improve Vehicular Ad-hoc Network (VANET) capabilities. The main objective of IoV is to enhance the safety of passenger
Externí odkaz: https://doaj.org/article/864a3bc37e2340e296ab8c611e3e869b
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5
Optimized Energy-Efficient Routing Protocol for Wireless Sensor Network Integrated with IoT: An Approach Based on Deep Convolutional Neural Network and Metaheuristic Algorithms
Autor: Moizuddin Mohammed, Mohammad Khalid Imam Rahmani, Md Ezaz Ahmed, Reyazur Rashid Irshad, Sadaf Yasmin, Sultan Ahmad, Swati Mishra, Pooja Asopa, Asharul Islam
Publikováno v: Journal of Nanoelectronics and Optoelectronics. 18:367-379
Wireless sensor networks (WSNs) have emerged as a significant architecture for data collection in various applications. However, the integration of WSNs with IoT poses energy-related challenges due to limited sensor node energy, increased energy cons
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::afbdc448c767c610e8c809ed24a5bf14
https://doi.org/10.1166/jno.2023.3396
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6
A Novel Hybrid Convolutional Neural Network Approach for the Stomach Intestinal Early Detection Cancer Subtype Classification
Autor: Md Ezaz Ahmed
Publikováno v: Computational Intelligence and Neuroscience. 2022:1-9
There may be different types of cancer that cause fatal effects in the human body. In general, cancer is nothing but the unnatural growth of blood cells in different parts of the body and is named accordingly. It may be skin cancer, breast cancer, ut
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e3b38e3b1b19d73ffdd3ec2963f1616c
https://doi.org/10.1155/2022/7325064
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8
Cryptographic Solution-Based Secure Elliptic Curve Cryptography Enabled Radio Frequency Identification Mutual Authentication Protocol for Internet of Vehicles
Autor: Md. Ezaz Ahmed, Surbhi Sharma, Baijnath Kaushik, Mohammad Khalid Imam Rahmani
Publikováno v: IEEE Access, Vol 9, Pp 147114-147128 (2021)
Internet of Vehicles (IoV) is one of the most active research disciplines in Intelligent Transportation Systems (ITS), intending to improve Vehicular Ad-hoc Network (VANET) capabilities. The main objective of IoV is to enhance the safety of passenger
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::de8920d0beb8a1e3c7d4f909fec6a818
https://ieeexplore.ieee.org/document/9594812/
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10
CNN Based Facial Expression Recognition System Using Deep Learning Approach
Autor: Anurag Mor, Hitesh Kumar Sharma, Prashant Ahlawat, Adarsh Kandwal, Tanupriya Choudhury, Preeti Sharma, Md. Ezaz Ahmed
Publikováno v: Cyber Intelligence and Information Retrieval ISBN: 9789811642838
In this fast-growing world of 21st century Machine Learning (ML) is one of the most powerful tools for solving a variety of real-life problems. Machine Learning helps both normal as well as differently-abled people. Facial Expression Recognition (FER
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::a76ece4a260afee6dd3768ab052ca3d2
https://doi.org/10.1007/978-981-16-4284-5_34
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