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Haris Khan

Showing results (21-30 of 82) with videos related to

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Biomed Research International|July 2, 2021
The Correlation between Dental Stages and Skeletal Maturity StagesAyah Jourieh, Haris Khan, Samer Mheissen, et al.
European Journal of Orthodontics|September 25, 2021
Do longitudinal orthodontic trials use appropriate statistical analyses? A meta-epidemiological studySamer Mheissen, Haris Khan, Mohammed Almuzian, et al.
Plos One|March 19, 2024
Do statistical heterogeneity methods impact the results of meta- analyses? A meta epidemiological studySamer Mheissen, Haris Khan, David Normando, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|July 4, 2023
Domain Adaptive Object Detection via Balancing Between Self-Training and Adversarial LearningMuhammad Akhtar Munir, Muhammad Haris Khan, M Saquib Sarfraz, et al.
Biomed Research International|January 21, 2022
Bracket Failure in Orthodontic Patients: The Incidence and the Influence of Different FactorsHaris Khan, Samer Mheissen, Ayesha Iqbal, et al.
Case Reports in Infectious Diseases|November 7, 2025
Beyond Bacterial Causes: A Case of Recurrent Urinary and Vulvovaginal Symptoms Due to <i>Enterobius vermicularis</i>-Case ReportMomin Khan, Safeena Khan, Muhammad Haris Khan, et al.
European Journal of Orthodontics|May 19, 2023
The effect of early versus delayed space closure on the rate of orthodontic tooth movement: a systematic review and meta-analysisBaraa Daraqel, Samer Mheissen, Jiahua Li, et al.
World Journal of Clinical Pediatrics|June 10, 2025
Childhood gastroesophageal reflux disease: A comprehensive review of disease, diagnosis, and therapeutic managementDaniyal Raza, Farhan Mohiuddin, Muhammad Haris Khan, et al.
Neural Networks : the Official Journal of the International Neural Network Society|June 16, 2026
Enhancing GNN learning with node augmentationMaria Marrium, Arif Mahmood, Muhammad Haris Khan, et al.
Scientific Reports|April 10, 2025
EcoTaskSched: a hybrid machine learning approach for energy-efficient task scheduling in IoT-based fog-cloud environmentsAsfandyar Khan, Faizan Ullah, Dilawar Shah, et al.
Pageof 9

Showing results (21-30 of 82) with videos related to

Sort By:
Pageof 9
Biomed Research International|July 2, 2021
The Correlation between Dental Stages and Skeletal Maturity StagesAyah Jourieh, Haris Khan, Samer Mheissen, et al.
European Journal of Orthodontics|September 25, 2021
Do longitudinal orthodontic trials use appropriate statistical analyses? A meta-epidemiological studySamer Mheissen, Haris Khan, Mohammed Almuzian, et al.
Plos One|March 19, 2024
Do statistical heterogeneity methods impact the results of meta- analyses? A meta epidemiological studySamer Mheissen, Haris Khan, David Normando, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|July 4, 2023
Domain Adaptive Object Detection via Balancing Between Self-Training and Adversarial LearningMuhammad Akhtar Munir, Muhammad Haris Khan, M Saquib Sarfraz, et al.
Biomed Research International|January 21, 2022
Bracket Failure in Orthodontic Patients: The Incidence and the Influence of Different FactorsHaris Khan, Samer Mheissen, Ayesha Iqbal, et al.
Case Reports in Infectious Diseases|November 7, 2025
Beyond Bacterial Causes: A Case of Recurrent Urinary and Vulvovaginal Symptoms Due to <i>Enterobius vermicularis</i>-Case ReportMomin Khan, Safeena Khan, Muhammad Haris Khan, et al.
European Journal of Orthodontics|May 19, 2023
The effect of early versus delayed space closure on the rate of orthodontic tooth movement: a systematic review and meta-analysisBaraa Daraqel, Samer Mheissen, Jiahua Li, et al.
World Journal of Clinical Pediatrics|June 10, 2025
Childhood gastroesophageal reflux disease: A comprehensive review of disease, diagnosis, and therapeutic managementDaniyal Raza, Farhan Mohiuddin, Muhammad Haris Khan, et al.
Neural Networks : the Official Journal of the International Neural Network Society|June 16, 2026
Enhancing GNN learning with node augmentationMaria Marrium, Arif Mahmood, Muhammad Haris Khan, et al.
Scientific Reports|April 10, 2025
EcoTaskSched: a hybrid machine learning approach for energy-efficient task scheduling in IoT-based fog-cloud environmentsAsfandyar Khan, Faizan Ullah, Dilawar Shah, et al.
Pageof 9