Raza Ul Mustafa
Raza Ul Mustafa
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A hybrid machine learning framework to predict mortality in paralytic ileus patients using electronic health records (EHRs)
FS Ahmad, L Ali, R Ul Mustafa, HA Khattak, T Hameed, I Wajahat, S Kadry, ...
Journal of Ambient Intelligence and Humanized Computing 12, 3283-3293, 2021
A multiclass depression detection in social media based on sentiment analysis
RU Mustafa, N Ashraf, FS Ahmed, J Ferzund, B Shahzad, A Gelbukh
17th International Conference on Information Technology–New Generations …, 2020
Predicting the cricket match outcome using crowd opinions on social networks: A comparative study of machine learning methods
R Ul Mustafa, MS Nawaz, MIU Lali, T Zia, W Mehmood
Malaysian Journal of Computer Science 30 (1), 63-76, 2017
Effectiveness of social media data in healthcare communication
MS Nawaz, M Bilal, MIU Lali, R Ul Mustafa, W Aslam, S Jajja
Journal of Medical Imaging and Health Informatics 7 (6), 1365-1371, 2017
Early detection of controversial urdu speeches from social media
RU Mustafa, MS Nawaz, J Farzund, MI Lali, B Shahzad, P Viger
Data Sci. Pattern Recognit. 1 (2), 26-42, 2017
Finding healthcare issues with search engine queries and social network data
MIU Lali, RU Mustafa, K Saleem, MS Nawaz, T Zia, B Shahzad
International Journal on Semantic Web and Information Systems (IJSWIS) 13 (1 …, 2017
A statistically rigorous deep neural network approach to predict mortality in trauma patients admitted to the intensive care unit
FS Ahmed, L Ali, BA Joseph, A Ikram, RU Mustafa, SAC Bukhari
Journal of Trauma and Acute Care Surgery 89 (4), 736-742, 2020
Discovery and classification of user interests on social media
B Shahzad, I Lali, MS Nawaz, W Aslam, R Mustafa, A Mashkoor
Information Discovery and Delivery 45 (3), 130-138, 2017
Performance evaluation of software defined networking vs. traditional networks
MI Lali, RU Mustafa, F Ahsan, MS Nawaz, W Aslam
The Nucleus 54 (1), 16-22, 2017
Intent-based control loop for DASH video service assurance using ML-based edge QoE estimation
PHG C. Esteve Rothenberg, D. A. Lachos Perez, Saraiva de Sousa, R. Rosa, R ...
6th ieee international conference on network softwarization (netsoft …, 2020
Identification of hatred speeches on Twitter
T Zia, MS Akram, MS Nawaz, B Shahzad, AM Abdullatif, RU Mustafa, ...
Proceedings of 52nd The IRES International Conference, 27-32, 2016
A supervised machine learning approach for dash video qoe prediction in 5g networks
R Ul Mustafa, S Ferlin, C Esteve Rothenberg, D Raca, J J. Quinlan
Proceedings of the 16th ACM symposium on QoS and security for wireless and …, 2020
Search engine optimization techniques to get high score in SERP’s using recommended guidelines
RU Mustafa, MS Nawaz, MI Lali
Science International 27 (6), 5079-5086, 2015
Machine learning approach to estimate video qoe of encrypted dash traffic in 5g networks
RU Mustafa, D Moura, CE Rothenberg
2021 IEEE Statistical Signal Processing Workshop (SSP), 586-589, 2021
Machine learning-assisted closed-control loops for beyond 5g multi-domain zero-touch networks
NFS de Sousa, MT Islam, RU Mustafa, DAL Perez, CE Rothenberg, ...
Journal of Network and Systems Management 30 (3), 46, 2022
Human aggressiveness and reactions towards uncertain decisions
F Bashir, N Ashraf, A Yaqoob, A Rafiq, RU Mustafa
International Journal of Advanced and Applied Sciences 6 (7), 112-116, 2019
Role of online data from search engine and social media in healthcare informatics
MS Nawaz, RU Mustafa, MIU Lali
applying big data analytics in bioinformatics and medicine, 272-293, 2018
DASH QoE performance evaluation framework with 5G datasets
RU Mustafa, MT Islam, C Rothenberg, S Ferlin, D Raca, JJ Quinlan
2020 16th International Conference on Network and Service Management (CNSM), 1-6, 2020
Mobile application testing in pakistan: A survey
MS Nawaz, Z Iqbal, MI Ullah Lali, R Ul Mustafa
Mehran University Research Journal of Engineering & Technology 37 (1), 15-28, 2018
EFFECTOR: DASH QoE and QoS Evaluation Framework For EnCrypTed videO tRaffic
RU Mustafa, MT Islam, C Rothenberg, PH Gomes
NOMS 2023-2023 IEEE/IFIP Network Operations and Management Symposium, 1-8, 2023
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