‪Muhammad Fazal Ijaz, Worlds Top 2% Scientist [2022,2023,2024]‬

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Dr. Jana ShafiLecturer, Department of Computer Engineering and Information,Prince Sattam bin Abdul Aziz UniversityEmail yang diverifikasi di psau.edu.sa
Yogesh KumarWorld's Top 2% Scientist I Assistant ProfessorEmail yang diverifikasi di sot.pdpu.ac.in
Parvathaneni Naga SrinivasuAmrita, India || Federal University of Ceará, Brazil || INTI International University, MalaysiaEmail yang diverifikasi di av.amrita.edu
Dr. Akash Kumar BhoiDirectorate of Research - Sikkim Manipal UniversityEmail yang diverifikasi di smit.smu.edu.in
Pawan Kumar Singh, PhD, SMIEEEAssistant Professor, Department of Information Technology, Jadavpur University, KolkataEmail yang diverifikasi di jadavpuruniversity.in
SeongKi KimChosun University, Associate professorEmail yang diverifikasi di chosun.ac.kr
Youngdoo SonDongguk UniversityEmail yang diverifikasi di dongguk.edu
Ram SarkarProfessor, Computer Science & Engineering Department, Jadavpur University, Kolkata, IndiaEmail yang diverifikasi di cse.jdvu.ac.in
Dr. Ranjit PanigrahiAssistant Professor -SG, Sikkim Manipal Institute of Technology, Majitar, SikkimEmail yang diverifikasi di smit.smu.edu.in
Dr. Nihar Ranjan PradhanAssistant Professor, School of Computer Science & Engineering, VIT-AP University.Email yang diverifikasi di vitap.ac.in
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Mufti Mahmud, PhDKing Fahd University of Petroleum and Minerals, Saudi ArabiaEmail yang diverifikasi di kfupm.edu.sa
Mohammad-Reza Feizi-DerakhshiFull Professor of Artificial Intelligence, Department of Computer Engineering, University of TabrizEmail yang diverifikasi di tabrizu.ac.ir
Zari FarhadiPh.D, in Data Science at the University of TabrizEmail yang diverifikasi di tabrizu.ac.ir
Savitri BevinakoppaProfessor, School of IT and EngineeringEmail yang diverifikasi di mit.edu.au
Norbert HerencsarAssociate Professor, Brno University of Technology, Czech RepublicEmail yang diverifikasi di vut.cz
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Ikuti

Muhammad Fazal Ijaz, Worlds Top 2% Scientist [2022,2023,2024]

Lecturer at Melbourne Institute of Technology, Victoria, Australia

Email yang diverifikasi di mit.edu.au

Medical Informatics Machine Learning and AI Data Science Industry 4.0 Systems Engineering


Judul Urutkan menurut kutipan Urutkan menurut tahun Urutkan menurut judul	Dikutip oleh Dikutip oleh	Tahun
Artificial intelligence in disease diagnosis: a systematic literature review, synthesizing framework and future research agenda Y Kumar, A Koul, R Singla, MF Ijaz Journal of ambient intelligence and humanized computing 14 (7), 8459-8486, 2023	809	2023
Classification of skin disease using deep learning neural networks with MobileNet V2 and LSTM PN Srinivasu, JG SivaSai, MF Ijaz, AK Bhoi, W Kim, JJ Kang Sensors 21 (8), 2852, 2021	634	2021
A survey of deep convolutional neural networks applied for prediction of plant leaf diseases VS Dhaka, SV Meena, G Rani, D Sinwar, MF Ijaz, M Woźniak Sensors 21 (14), 4749, 2021	345	2021
A personalized healthcare monitoring system for diabetic patients by utilizing BLE-based sensors and real-time data processing G Alfian, M Syafrudin, MF Ijaz, MA Syaekhoni, NL Fitriyani, J Rhee Sensors 18 (7), 2183, 2018	270	2018
Data-driven cervical cancer prediction model with outlier detection and over-sampling methods MF Ijaz, M Attique, Y Son Sensors 20 (10), 2809, 2020	252	2020
Hybrid prediction model for type 2 diabetes and hypertension using DBSCAN-based outlier detection, synthetic minority over sampling technique (SMOTE), and random forest MF Ijaz, G Alfian, M Syafrudin, J Rhee Applied sciences 8 (8), 1325, 2018	224	2018
IoT and interpretable machine learning based framework for disease prediction in pearl millet N Kundu, G Rani, VS Dhaka, K Gupta, SC Nayak, S Verma, MF Ijaz, ... Sensors 21 (16), 5386, 2021	185	2021
Integration of RFID, wireless sensor networks, and data mining in an e-pedigree food traceability system G Alfian, J Rhee, H Ahn, J Lee, U Farooq, MF Ijaz, MA Syaekhoni Journal of Food Engineering 212, 65-75, 2017	183	2017
Fine-tuned DenseNet-169 for breast cancer metastasis prediction using FastAI and 1-cycle policy A Vulli, PN Srinivasu, MSK Sashank, J Shafi, J Choi, MF Ijaz Sensors 22 (8), 2988, 2022	166	2022
A consolidated decision tree-based intrusion detection system for binary and multiclass imbalanced datasets R Panigrahi, S Borah, AK Bhoi, MF Ijaz, M Pramanik, Y Kumar, ... Mathematics 9 (7), 751, 2021	152	2021
A Complete Process of Text Classification System Using State‐of‐the‐Art NLP Models V Dogra, S Verma, Kavita, P Chatterjee, J Shafi, J Choi, MF Ijaz Computational Intelligence and Neuroscience 2022 (1), 1883698, 2022	135	2022
Analytical study of hybrid techniques for image encryption and decryption CL Chowdhary, PV Patel, KJ Kathrotia, M Attique, K Perumal, MF Ijaz Sensors 20 (18), 5162, 2020	130	2020
An optimized framework for WSN routing in the context of industry 4.0 S Rani, D Koundal, F Kavita, MF Ijaz, M Elhoseny, MI Alghamdi Sensors 21 (19), 6474, 2021	118	2021
A union of deep learning and swarm-based optimization for 3D human action recognition H Basak, R Kundu, PK Singh, MF Ijaz, M Woźniak, R Sarkar Scientific Reports 12 (1), 5494, 2022	111	2022
Performance assessment of supervised classifiers for designing intrusion detection systems: a comprehensive review and recommendations for future research R Panigrahi, S Borah, AK Bhoi, MF Ijaz, M Pramanik, RH Jhaveri, ... Mathematics 9 (6), 690, 2021	101	2021
Ensem-HAR: An ensemble deep learning model for smartphone sensor-based human activity recognition for measurement of elderly health monitoring D Bhattacharya, D Sharma, W Kim, MF Ijaz, PK Singh Biosensors 12 (6), 393, 2022	93	2022
A tri-stage wrapper-filter feature selection framework for disease classification M Mandal, PK Singh, MF Ijaz, J Shafi, R Sarkar Sensors 21 (16), 5571, 2021	91	2021
An optimized framework for energy-resource allocation in a cloud environment based on the whale optimization algorithm S Goyal, S Bhushan, Y Kumar, AHS Rana, MR Bhutta, MF Ijaz, Y Son Sensors 21 (5), 1583, 2021	90	2021
Disposition of youth in predicting sustainable development goals using the neuro-fuzzy and random forest algorithms L Gaur, G Singh, A Solanki, NZ Jhanjhi, U Bhatia, S Sharma, S Verma, ... Human-Centric Computing and Information Sciences 11, NA, 2021	89	2021
Disease diagnosis system for IoT-based wearable body sensors with machine learning algorithm JB Awotunde, SO Folorunso, AK Bhoi, PO Adebayo, MF Ijaz Hybrid artificial intelligence and IoT in healthcare, 201-222, 2021	87	2021

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