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Muhammad Faisal

Showing results (391-400 of 775) with videos related to

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Materials (Basel, Switzerland)|April 12, 2022
Predicting the Lateral Load Carrying Capacity of Reinforced Concrete Rectangular Columns: Gene Expression ProgrammingRaheel Asghar, Muhammad Faisal Javed, Raid Alrowais, et al.
Materials (Basel, Switzerland)|October 27, 2022
Spectroscopic and Physicochemical Investigations of Azomethines with Triphenylamine Core towards OptoelectronicsMuhammad Faisal Amin, Paweł Gnida, Sonia Kotowicz, et al.
BMC Cardiovascular Disorders|July 18, 2025
Semantic web-based ontology: a comprehensive framework for cardiovascular knowledge representationSabahat Sabir, Fahad Maqbool, Muhammad Saad Razzaq, et al.
Scientific Reports|December 22, 2025
Intelligent web archiving and ranking of fake news using metadata-driven credibility assessment and machine learningMuhammad Faisal Abrar, Muhammad Saqib, Ali Alferaidi, et al.
Plos One|May 8, 2025
Optimizing the impact of time domain segmentation techniques on upper limb EMG decoding using multimodal featuresMuhammad Faisal, Ikramullah Khosa, Asim Waris, et al.
Annals of Saudi Medicine|February 28, 2012
Undifferentiated sarcoma of the liver: a rare pediatric tumorAysha Shattaf, Altaf Jamil, Muhammad Faisal Khanani, et al.
Environmental Monitoring and Assessment|March 5, 2016
Plant-driven removal of heavy metals from soil: uptake, translocation, tolerance mechanism, challenges, and future perspectivesSveta Thakur, Lakhveer Singh, Zularisam Ab Wahid, et al.
Peerj|May 9, 2022
A new comprehensive approach for regional drought monitoringRizwan Niaz, Mohammed M A Almazah, Ijaz Hussain, et al.
Natural Product Research|July 16, 2019
Calotetrapterins A-C, three new pyranoxanthones and their cytotoxicity from the stem bark of <i>Calophyllum tetrapterum</i> MiqMulyadi Tanjung, Tjitjik Srie Tjahjandarie, Ratih Dewi Saputri, et al.
Scientific Reports|August 6, 2024
Development of machine learning models for forecasting the strength of resilient modulus of subgrade soil: genetic and artificial neural network approachesLaiba Khawaja, Usama Asif, Kennedy Onyelowe, et al.
Pageof 78

Showing results (391-400 of 775) with videos related to

Sort By:
Pageof 78
Materials (Basel, Switzerland)|April 12, 2022
Predicting the Lateral Load Carrying Capacity of Reinforced Concrete Rectangular Columns: Gene Expression ProgrammingRaheel Asghar, Muhammad Faisal Javed, Raid Alrowais, et al.
Materials (Basel, Switzerland)|October 27, 2022
Spectroscopic and Physicochemical Investigations of Azomethines with Triphenylamine Core towards OptoelectronicsMuhammad Faisal Amin, Paweł Gnida, Sonia Kotowicz, et al.
BMC Cardiovascular Disorders|July 18, 2025
Semantic web-based ontology: a comprehensive framework for cardiovascular knowledge representationSabahat Sabir, Fahad Maqbool, Muhammad Saad Razzaq, et al.
Scientific Reports|December 22, 2025
Intelligent web archiving and ranking of fake news using metadata-driven credibility assessment and machine learningMuhammad Faisal Abrar, Muhammad Saqib, Ali Alferaidi, et al.
Plos One|May 8, 2025
Optimizing the impact of time domain segmentation techniques on upper limb EMG decoding using multimodal featuresMuhammad Faisal, Ikramullah Khosa, Asim Waris, et al.
Annals of Saudi Medicine|February 28, 2012
Undifferentiated sarcoma of the liver: a rare pediatric tumorAysha Shattaf, Altaf Jamil, Muhammad Faisal Khanani, et al.
Environmental Monitoring and Assessment|March 5, 2016
Plant-driven removal of heavy metals from soil: uptake, translocation, tolerance mechanism, challenges, and future perspectivesSveta Thakur, Lakhveer Singh, Zularisam Ab Wahid, et al.
Peerj|May 9, 2022
A new comprehensive approach for regional drought monitoringRizwan Niaz, Mohammed M A Almazah, Ijaz Hussain, et al.
Natural Product Research|July 16, 2019
Calotetrapterins A-C, three new pyranoxanthones and their cytotoxicity from the stem bark of <i>Calophyllum tetrapterum</i> MiqMulyadi Tanjung, Tjitjik Srie Tjahjandarie, Ratih Dewi Saputri, et al.
Scientific Reports|August 6, 2024
Development of machine learning models for forecasting the strength of resilient modulus of subgrade soil: genetic and artificial neural network approachesLaiba Khawaja, Usama Asif, Kennedy Onyelowe, et al.
Pageof 78