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Akib Khanday
Akib Khanday
Otros nombresAkib Mohi Ud Din Khanday
Assistant Professor, Department of Computer Science, Samarkand International University, Uzbekistan
Dirección de correo verificada de siut.uz - Página principal
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Machine learning based approaches for detecting COVID-19 using clinical text
AMUD Khanday, ST Rabani, QR Khan, N Rouf
International Journal of Information Technology 12 (3), 731-739, 2020
4052020
Identifying propaganda from online social networks during COVID-19 using machine learning techniques
AMUD Khanday, QR Khan, ST Rabani
International Journal of Information Technology 13 (1), 115-122, 2021
1022021
Detecting twitter hate speech in COVID-19 era using machine learning and ensemble learning techniques
AMUD Khanday, ST Rabani, QR Khan, SH Malik
International Journal of Information Management Data Insights 2 (2), 100120, 2022
712022
Detection of suicidal ideation on Twitter using machine learning & ensemble approaches
ST Rabani, QR Khan, AMUD Khanday
Baghdad science journal 17 (4), 1328-1328, 2020
522020
Twitter Sentiment Analysis On Indian Government Project Using R.
P Verma, A Khanday, ST Rabani, M Mir, S Jamwal
International Journal of Recent Technology and Engineering (IJRTE) 8 (3 …, 2019
422019
SVMBPI: support vector machine-based propaganda identification
AMUD Khanday, QR Khan, ST Rabani
Cognitive Informatics and Soft Computing: Proceeding of CISC 2020, 445-455, 2021
262021
Detecting suicidality on social media: Machine learning at rescue
ST Rabani, AMUD Khanday, QR Khan, UA Hajam, AS Imran, Z Kastrati
Egyptian Informatics Journal 24 (2), 291-302, 2023
212023
Detecting textual propaganda using machine learning techniques
AMUD Khanday, QR Khan, ST Rabani
Baghdad Science Journal 18 (1), 0199-0199, 2021
212021
Face Recognition Techniques: A Critical Review
AMUD Khanday, A Amin, I Manzoor, R Bashir
Recent Trends in Programming Languages 5 (2), 24-30, 2018
212018
Hybrid Approach for Detecting Propagandistic Community and Core Node on Social Networks
AMUD Khanday, MA Wani, ST Rabani, QR Khan
Sustainability 15 (2), 1249, 2023
202023
NNPCov19: Artificial Neural Network‐Based Propaganda Identification on Social Media in COVID‐19 Era
AMUD Khanday, B Bhushan, RH Jhaveri, QR Khan, R Raut, ST Rabani
Mobile Information Systems 2022 (1), 3412992, 2022
172022
Quantifying Suicidal Ideation on Social Media using Machine Learning: A Critical Review
ST Rabani, QR Khan, AMUD Khanday
Iraqi Journal of Science, 4092-4100, 2021
132021
An Effective Ensemble Convolutional Learning Model with Fine-tuning for Medicinal Plant Leaf Identification
MA Hajam, T Arif, AMUD Khanday, M Neshat
Information 14 (11), 618, 2023
122023
Analysing and Predicting Propaganda on Social Media using Machine Learning Techniques
AMUD Khanday, QR Khan, ST Rabani
2020 2nd International Conference on Advances in Computing, Communication …, 2020
102020
The classification of medical and botanical data through majority voting using artificial neural network
K Tripathi, FA Khan, AMUD Khanday, KUL Nisa
International Journal of Information Technology 15 (6), 3271-3283, 2023
92023
Multi-Class Suicide Risk Prediction on Twitter Using Machine Learning Techniques
ST Rabani, QR Khan, AMUD Khanday
2020 2nd International Conference on Advances in Computing, Communication …, 2020
82020
Artificial Intelligence (AI) and Internet of Things (IoT): Application in Detecting and Containing the Spread of COVID-19
MA Wajid, A Zafar, B Bhushan, AMUD Khanday, MS Wajid
AI Models for Blockchain-Based Intelligent Networks in IoT Systems: Concepts …, 2023
62023
A NOVEL APPROACH TO PREDICT THE LEVEL OF SUICIDAL IDEATION ON SOCIAL NETWORKS USING MACHINE AND ENSEMBLE LEARNING
ST Rabani, QR Khan, AMU din Khanday
62021
Bi-directional lstm-based covid-19 detection using clinical reports
S Bouktıf, AMUD Khanday, A Ounı
The Eurasia Proceedings of Science Technology Engineering and Mathematics 23 …, 2023
52023
NLP Techniques and Challenges to Process Social Media Data
TA Mir, AA Lawaye, AMUD Khanday
Advanced Applications of NLP and Deep Learning in Social Media Data, 171-218, 2023
52023
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