Publications
- SpikeVision: Classification Of Wheat Varieties Using Machine VisionRehman, K. U., Razzaq, A., Qadri, S., Dawood, H., Iqbal, S., Hussnain, A., & Shahid, S. (2026). SpikeVision: Classification Of Wheat Varieties Using Machine Vision. International Journal Of Food Properties, 29(1), 2661116.
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- Multifeature Analysis To Detect Cotton Leaf Curl VirusAhmad, N., Qadri, S., Akhtar, N., & Nawaz, S. A. (2024). Multifeature Analysis To Detect Cotton Leaf Curl Virus. Journal Of Computing & Biomedical Informatics, 7(01), 215-223.
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- Multimodal Fusion FraA Mework To Diagnose Cotton Leaf Curl Virus Using Machine Vision TechniquesAhmad, N., Qadri, S., & Akhtar, N. (2024). A Multimodal Fusion Framework To Diagnose Cotton Leaf Curl Virus Using Machine Vision Techniques. Cogent Food & Agriculture, 10(1), 2339572.
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- Enhancing Skin Cancer Diagnosis With Deep Learning: A Hybrid CNN-RNN ApproachZareen, S. S., Sun, G., Kundi, M., Qadri, S. F., & Qadri, S. (2024). Enhancing Skin Cancer Diagnosis With Deep Learning: A Hybrid CNN-RNN Approach. Computers, Materials & Continua, 79(1).
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- A Comprehensive Analysis Of Machine Learning And Deep Learning Approaches For Road Accident PredictionGhous, H., Malik, M. H., Qadri, S., Atiq, A., & Nawaz, S. A. (2024). A Comprehensive Analysis Of Machine Learning And Deep Learning Approaches For Road Accident Prediction. Journal Of Computing & Biomedical Informatics, 6(02), 34-46.
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- A Hybrid Neural Network Based Maize Leaf Disease Identification Integrating ResNet50 And Attention MechanismJavaid, M., Hussain, I., Qadri, S., Razzaq, A., Jabeen, J., & Imran, M. A. (2024). A Hybrid Neural Network Based Maize Leaf Disease Identification Integrating ResNet50 And Attention Mechanism. Journal Of Computing & Biomedical Informatics, 6(02), 502-509.
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- Remote Sensing Based Sugarcane Yield Prediction Model Using Artificial IntelligenceIftikhar, M., Qadri, S., Nadeem, M., & Nawaz, S. A. (2024). Remote Sensing Based Sugarcane Yield Prediction Model Using Artificial Intelligence. Journal Of Computing & Biomedical Informatics, 6(02), 451-462.
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- Computer Vision Based Solanum Lycopersicon Leaf Disease Detection Using Transfer LearningHakeem, A., Hussain, I., Qadri, S., Mehdi, M., Kajla, N. I., & Akbar, A. J. (2024). Computer Vision Based Solanum Lycopersicon Leaf Disease Detection Using Transfer Learning. Journal Of Computing & Biomedical Informatics, 6(02), 402-412.
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- Enhancing LAN Security By Mitigating Credential Threats Via HTTP Packet Analysis With WiresharkHussain, A., Hussain, A., Qadri, S., Razzaq, A., Nazir, H., & Ullah, M. S. (2024). Enhancing LAN Security By Mitigating Credential Threats Via HTTP Packet Analysis With Wireshark. Journal Of Computing & Biomedical Informatics, 6(02), 433-440.
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- Soft Computing-Based Climate Change Monitoring System Using Multi- Sensor DatasetNoor, L., Qadri, S., Ullah, S., & Nawaz, S. A. (2023). Soft Computing-Based Climate Change Monitoring System Using Multi-Sensor Dataset. Journal Of Computing & Biomedical Informatics, 6(01), 419-427.
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- Classification Of Dates (Phoenix Dactylifera L.) Varieties Using Texture Feature AnalysisYousuf, H. M., Qadri, S., Hakim, A., Iqbal, J., Baig, I. A., & Shabbir, J. (2023). Classification Of Dates (Phoenix Dactylifera L.) Varieties Using Texture Feature Analysis. Journal Of Computing & Biomedical Informatics, 5(02), 347-358.
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- Machine Learning Approach For Classification Of Mangifera Indica Leaves Using Digital Image AnalysisAslam, T., Qadri, S., Qadri, S. F., Nawaz, S. A., Razzaq, A., Zarren, S. S., ... & Altaf, A. (2022). Machine Learning Approach For Classification Of Mangifera Indica Leaves Using Digital Image Analysis. International Journal Of Food Properties, 25(1), 1987-1999.
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- Frequency-based Deep-Fake Video Detection Using Deep Learning MethodsMalik, M. H., Ghous, H., Qadri, S., Nawaz, S. A., & Anwar, A. (2023). Frequency-based Deep-Fake Video Detection Using Deep Learning Methods. Journal Of Computing & Biomedical Informatics, 4(02).
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- Detection Of Fake Videos Using Convolutional Generative MethodGhous, H., Malik, M. H., Qadri, S., & Ahmad, N. (2023). Detection Of Fake Videos Using Convolutional Generative Method. Journal Of Computing & Biomedical Informatics, 4(02).
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- CT-Based Automatic Spine Segmentation Using Patch-Based Deep LearningQadri, S. F., Lin, H., Shen, L., Ahmad, M., Qadri, S., Khan, S., ... & Qamar, S. (2023). CT-Based Automatic Spine Segmentation Using Patch-Based Deep Learning. International Journal Of Intelligent Systems, 2023.
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- Varital Discrimination Of Guava (Pasidium Guajava) Leaves Using Multi Features Analysis Muhammad Asim, Saleem Ullah, Abdul Razzaq & Salman Qadri (2023) Varietal Discrimination Of Guava (Psidium Guajava) Leaves Using Multi Features Analysis, International Journal Of Food Properties, 26:1, 179-196, DOI: 10.1080/10942912.2022.2158863
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- Descriptive Analysis Of Human Emotions Based On Eye PupilsSarwar, M. A., Hussain, M. M., & Qadri, S. (2022). Descriptive Analysis Of Human Emotions Based On Eye Pupils. Lahore Garrison University Research Journal Of Computer Science And Information Technology, 6(2), 1-13.
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- Computer Vision Approach For Liver Tumor Classification Using CT DatasetHussain, M., Saher, N., & Qadri, S. (2022). Computer Vision Approach For Liver Tumor Classification Using CT Dataset. Applied Artificial Intelligence, 1-23.
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- A Lightweight Convolutional Neural Network Model For Liver Segmentation In Medical DiagnosisAhmad, M., Qadri, S. F., Qadri, S., Saeed, I. A., Zareen, S. S., Iqbal, Z., ... & Md, S. (2022). A Lightweight Convolutional Neural Network Model For Liver Segmentation In Medical Diagnosis. Computational Intelligence And Neuroscience, 2022.
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- Extraction Of Psychological Effects Of COVID-19 Pandemic Through Topic-Level Sentiment DynamicsRazzaq, A., Abbas, T., Hashim, S., Qadri, S., Mumtaz, I., Saher, N., ... & Nawaz, S. A. (2022). Extraction Of Psychological Effects Of COVID-19 Pandemic Through Topic-Level Sentiment Dynamics. Complexity, 2022.
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- SVseg: Stacked Sparse Autoencoder-Based Patch Classification Modeling For Vertebrae SegmentationQadri SF, Shen L, Ahmad M, Qadri S, Zareen SS, Akbar MA. SVseg: Stacked Sparse Autoencoder-Based Patch Classification Modeling For Vertebrae Segmentation. Mathematics. 2022; 10(5):796. Https://doi.org/10.3390/math10050796
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- Brain Tumor Classification Based On Hybrid Optimized Multi-features Analysis Using Magnetic Resonance Imaging Dataset.Nawaz, S. A., Khan, D. M., & Qadri, S. (2022). Brain Tumor Classification Based On Hybrid Optimized Multi-features Analysis Using Magnetic Resonance Imaging Dataset. Applied Artificial Intelligence, 1-27.
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- OP-convNet: A Patch Classification-Based Framework For CT Vertebrae SegmentationQadri, S.F., Shen, L., Ahmad, M., Qadri, S., Zareen, S.S. And Khan, S., 2021. OP-convNet: A Patch Classification-Based Framework For CT Vertebrae Segmentation. IEEE Access, 9, Pp.158227-158240.
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- Machine Vision Approach For Classification Of Rice Varieties Using Texture FeaturesSalman Qadri, Tanveer Aslam, Syed Ali Nawaz, Najia Saher, Abdul- Razzaq, Muzammil Ur Rehman, Nazir Ahmad, Faisal Shahzad & Syed Furqan Qadri (2021) Machine Vision Approach For Classification Of Rice Varieties Using Texture Features, International Journal Of Food Properties, 24:1, 1615-1630, DOI: 10.1080/10942912.2021.1986523
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- ROLE OF MACHINE VISION FOR IDENTIFICATION OF KIDNEY STONES USING MULTI FEATURES ANALYSISQadri, S. (2021). ROLE OF MACHINE VISION FOR IDENTIFICATION OF KIDNEY STONES USING MULTI FEATURES ANALYSIS. Lahore Garrison University Research Journal Of Computer Science And Information Technology, 5(3), 1-14.
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- Stomatal State Identification And Classification In Quinoa Microscopic Imprints Through Deep Learning. Razzaq, A., Shahid, S., Akram, M., Ashraf, M., Iqbal, S., Hussain, A., Azam Zia, M., Qadri, S., Saher, N., Shahzad, F. And Shah, A.N., 2021. Stomatal State Identification And Classification In Quinoa Microscopic Imprints Through Deep Learning. Complexity, 2021.
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- Identification Of Hormone Binding Proteins Via PseAACAshraf, A. Ali, M,M, Qadri,S (2021). Identification Of Hormone Binding Proteins Via PSeACC.
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- An Automatic Determining Food Security Status: Machine Learning Based Analysis Of Household Survey DataRazzaq, A., Ahmed, U.I., Hashim, S., Hussain, A., Qadri, S., Ullah, S., Nawaz Shah, A., Imran, A. And Asghar, A., 2021. An Automatic Determining Food Security Status: Machine Learning Based Analysis Of Household Survey Data. International Journal Of Food Properties, 24(1), Pp.726-736.
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- An Identity Based Authentication Protocol For Smart Grid Environment Using Physical Uncloneable FunctionBadar, H.M.S., Qadri, S., Shamshad, S., Ayub, M.F., Mahmood, K. And Kumar, N., 2021. An Identity Based Authentication Protocol For Smart Grid Environment Using Physical Uncloneable Function. IEEE Transactions On Smart Grid.
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- Classification Of Canola Seed Varieties Based On Multi-feature Analysis Using Computer Vision ApproachQadri, S., Furqan Qadri, S., Razzaq, A., Ul Rehman, M., Ahmad, N., Nawaz, S.A., Saher, N., Akhtar, N. And Khan, D.M., 2021. Classification Of Canola Seed Varieties Based On Multi-feature Analysis Using Computer Vision Approach. International Journal Of Food Properties, 24(1), Pp.493-504.
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- A Spatial Model Of K-Nearest Neighbors For Classification Of Cotton (Gossypium) Varieties Based On Image SegmentationAslam, T., Qadri, S., Saher, N., Nawaz, S.A., Shehzad, M., Qadri, S.F., Razzaq, A., Shahzad, F. And Khan, D.M., A Spatial Model Of K-Nearest Neighbors For Classification Of Cotton (Gossypium) Varieties Based On Image Segmentation.
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- Traffic Intensity Based Energy Efficiency Architecture For Data-CentersMuhammad, S.S., Qadri, S., Ahmed, H., Qadri, S.F., Saher, N., Ahmad, S., Aslam, T., Nawaz, S.A. And Pervaiz, M.T., Traffic Intensity Based Energy Efficiency Architecture For Data-Centers.
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- Improving Sentiment Analysis Efficacy Through Feature SynchronizationAli, Z., Razzaq, A., Ali, S., Qadri, S. And Zia, A., 2021. Improving Sentiment Analysis Efficacy Through Feature Synchronization. Multimedia Tools And Applications, 80(9), Pp.13325-13338.
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- Machine Vision Approach For Classification Of Citrus Leaves Using Fused FeaturesQadri, S., Furqan Qadri, S., Husnain, M., Saad Missen, M.M., Khan, D.M., Muzammil-Ul-Rehman, Razzaq, A. And Ullah, S., 2019. Machine Vision Approach For Classification Of Citrus Leaves Using Fused Features. International Journal Of Food Properties, 22(1), Pp.2072-2089.
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- Machine Learning Approach For The Classification Of Corn Seed Using Hybrid FeaturesAli, A., Qadri, S., Mashwani, W.K., Brahim Belhaouari, S., Naeem, S., Rafique, S., Jamal, F., Chesneau, C. And Anam, S., 2020. Machine Learning Approach For The Classification Of Corn Seed Using Hybrid Features. International Journal Of Food Properties, 23(1), Pp.1110-1124.
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- Machine Learning Based Automated Segmentation And Hybrid Feature Analysis For Diabetic Retinopathy Classification Using Fundus ImageAli, A., Qadri, S., Khan Mashwani, W., Kumam, W., Kumam, P., Naeem, S., Goktas, A., Jamal, F., Chesneau, C., Anam, S. And Sulaiman, M., 2020. Machine Learning Based Automated Segmentation And Hybrid Feature Analysis For Diabetic Retinopathy Classification Using Fundus Image. Entropy, 22(5), P.567.
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- Machine-Learning Based Hybrid-Feature Analysis For Liver Cancer Classification Using Fused Naeem, S., Ali, A., Qadri, S., Khan Mashwani, W., Tairan, N., Shah, H., Fayaz, M., Jamal, F., Chesneau, C. And Anam, S., 2020. Machine-Learning Based Hybrid-feature Analysis For Liver Cancer Classification Using Fused (MR And CT) Images. Applied Sciences, 10(9), P.3134.
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- Black Hole Attack Prevention In Mobile Ad-hoc Network (MANET) Using Ant Colony Optimization TechniqueKhan, D.M., Aslam, T., Akhtar, N., Qadri, S., Rabbani, I.M. And Aslam, M., 2020. Black Hole Attack Prevention In Mobile Ad-hoc Network (MANET) Using Ant Colony Optimization Technique. Information Technology And Control, 49(3), Pp.308-319.
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- Computational Analysis Of Functional Single Nucleotide Polymorphisms Associated With SLC26A4 GeneHasnain, M.J.U., Shoaib, M., Qadri, S., Afzal, B., Anwar, T., Abbas, S.H., Sarwar, A., Talha Malik, H.M. And Tariq Pervez, M., 2020. Computational Analysis Of Functional Single Nucleotide Polymorphisms Associated With SLC26A4 Gene. Plos One, 15(1), P.e0225368.
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- Text Sentiment Analysis Using Frequency-Based Vigorous FeaturesRazzaq, A., Asim, M., Ali, Z., Qadri, S., Mumtaz, I., Khan, D.M. And Niaz, Q., 2019. Text Sentiment Analysis Using Frequency-based Vigorous Features. China Communications, 16(12), Pp.145-153.
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- ROBUST KINEMATIC SKELETON OF HUMAN 3D MODEL IN VIEWING STRAIGHT LIMBSRazzaq, A., Moughal, T. A., Zia, M. A., Qadri, S., & Muhammad, S. S. (2018). ROBUST KINEMATIC SKELETON OF HUMAN 3D MODEL IN VIEWING STRAIGHT LIMBS. Pakistan Journal Of Science, 70(4), 342.
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- Multisource Data Fusion Framework For Land Use/Land Cover Classification Using Machine VisionQadri, S., Khan, D.M., Qadri, S.F., Razzaq, A., Ahmad, N., Jamil, M., Nawaz Shah, A., Shah Muhammad, S., Saleem, K. And Awan, S.A., 2017. Multisource Data Fusion Framework For Land Use/land Cover Classification Using Machine Vision. Journal Of Sensors, 2017.
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- A Novel Optimized Land Cover Classification Framework Using Data Mining TechniquesQadri, S., Khan, D.M., Ahmad, F., Qadri, S.F., REHMAN, M.U., Muhammad, S.S. And ULLAH, M., 2017. A Novel Optimized Land Cover Classification Framework Using Data Mining Techniques. Sindh University Research Journal-SURJ (Science Series), 49(2).
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- A TECHNIQUE TO INCREASE THE USABILITY OF E-LEARNING WEBSITESAin, Q., Aslam, M., Muhammad, S., Awan, S., Pervez, M.T., Naveed, N., Basit, A. And Qadri, S., 2016. A TECHNIQUE TO INCREASE THE USABILITY OF E-LEARNING WEBSITES. Pakistan Journal Of Science, 68(2).
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- A Comparative Study Of Land Cover Classification By Using Multispectral And Texture DataQadri, S., Khan, D.M., Ahmad, F., Qadri, S.F., Babar, M.E., Shahid, M., Ul-Rehman, M., Razzaq, A., Shah Muhammad, S., Fahad, M. And Ahmad, S., 2016. A Comparative Study Of Land Cover Classification By Using Multispectral And Texture Data. BioMed Research International, 2016.
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- A METHODOLOGY TO ENHANCE PROGRAMMING SKILLS OF E-LEARNING STUDENTSPervez, M.T., Aslam, N., Muhammad, S., Naveed, N., Qadri, S. And Ahmad, S., 2015. A METHODOLOGY TO ENHANCE PROGRAMMING SKILLS OF E-LEARNING STUDENTS. Pakistan Journal Of Science, 67(1).
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- A Comparative Study Of Crop Classification By Using Radiometric And Photographic DataRehmani, E.A., Naweed, M.S., Shahid, M., Qadri, S., ULLAH, M. And Gilani, Z., 2015. A Comparative Study Of Crop Classification By Using Radiometric And Photographic Data. Sindh University Research Journal-SURJ (Science Series), 47(2).
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- IVisTMSA: Interactive Visual Tools For Multiple Sequence AlignmentsPervez, M.T., Babar, M.E., Nadeem, A., Aslam, N., Naveed, N., Ahmad, S., Muhammad, S., Qadri, S., Shahid, M., Hussain, T. And Javed, M., 2015. IVisTMSA: Interactive Visual Tools For Multiple Sequence Alignments. Evolutionary Bioinformatics, 11, Pp.EBO-S18980.
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- Evaluating The Accuracy And Efficiency Of Multiple Sequence Alignment MethodsPervez, M.T., Babar, M.E., Nadeem, A., Aslam, M., Awan, A.R., Aslam, N., Hussain, T., Naveed, N., Qadri, S., Waheed, U. And Shoaib, M., 2014. Evaluating The Accuracy And Efficiency Of Multiple Sequence Alignment Methods. Evolutionary Bioinformatics, 10, Pp.EBO-S19199.
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- Analysis 3-D Joints Motion Data Of Human WalkSajid Ali, Wu Zhong-ke, T. Moughal, A. Pasha, S. Qadri, Analysis 3-D Joints Motion Data Of Human Walk,2013;10(4):3411-3419
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- MQAT: An Efficient Quality Assessment Tool For Large Multiple Sequence AlignmentsPervez, M.T., Babar, M.E., Nadeem, A., Aslam, N., Raza, A., Aslam, M., Hussain, T., Qadri, S., Ahmad, S. And Shoaib, M., 2013. MQAT: An Efficient Quality Assessment Tool For Large Multiple Sequence Alignments. Life Sci J, 10(9s), Pp.9-16.
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- FAQMAA: A Framework For Automatic Quality Assessment Of Multiple Sequence AlignmentsAslam, M.T.P.N., Ahmad, S., Muhammad, S.S., Qadri, S., Ali, S. And Waheed, U., 2013. FAQMAA: A Framework For Automatic Quality Assessment Of Multiple Sequence Alignments. Life Science Journal, 10(9s).
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- A COMPARATIVE STUDY OF SEMANTIC CACHE TECHNIQUES IN MOBILE DATABASE ENVIRONMENTQadri, S., Tariq, M.P. And Shoaib, M., A COMPARATIVE STUDY OF SEMANTIC CACHE TECHNIQUES IN MOBILE DATABASE ENVIRONMENT.
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- Artificial Intelligence Based Sustainable Cotton Crop Production Challenges And OpportunitiesHttps://www.mnsuam.edu.pk/index.php/news/765-international-conference-by-department-of-agri-business-and-applied-economics
- Classification Of Dates (phoenix Dactylifera I.) Varieties Using Texture Feature AnalysisHttps://www.mnsuam.edu.pk/index.php/news/765-international-conference-by-department-of-agri-business-and-applied-economics
- Machine Vision Approach For Early Detection Of Rice Leaf Blast Disease Using Transfer LearningHttps://www.mnsuam.edu.pk/index.php/news/765-international-conference-by-department-of-agri-business-and-applied-economics
- Efficient Utilization Of Fertilizer In Sustainable Cotton Production Using Artificial IntelligeneHttps://www.mnsuam.edu.pk/index.php/news/765-international-conference-by-department-of-agri-business-and-applied-economics
- Identification Of Begomovirius Using Deep Learning In Various CropsHttps://www.mnsuam.edu.pk/index.php/news/765-international-conference-by-department-of-agri-business-and-applied-economics
- Quantitative Analysis Of Irrigation Water Quality Parameters Using Sensors-based DatasetHttps://www.mnsuam.edu.pk/index.php/news/765-international-conference-by-department-of-agri-business-and-applied-economics
- Automation Of IoE-based Water Management System In Lolium PerenneHttps://www.mnsuam.edu.pk/index.php/news/765-international-conference-by-department-of-agri-business-and-applied-economics
- Promoting Sustainable Cotton Production Through Smart Advisory Based On Remote Sensing And Advancement In Machine Learning & Artificial IntelligenceHttps://ncgsa.org.pk/wp-content/uploads/2020/09/ICASE-2021-Registration-Guide-Poster.pdf
