SQ
Salman Qadri
Muhammad Nawaz Shareef University of Agriculture, Islamia University of Bahawalpur, Virtual University of Pakistan
Research areas: Computer Science · Computer Vision and Pattern Recognition · Smart Agriculture and AI · Advanced Neural Network Applications · Medical Image Segmentation Techniques
0000-0002-3503-6535
Employment
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Muhammad Nawaz Shareef University of Agriculture Professor/Director2021 - Present
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The Islamia University of Bahawalpur Pakistan Assistant Professor2011 - 2021
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Virtual University of Pakistan Lecturer/Tutor/Instructor2006 - 2011
Education
Projects & Funding
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Sustainable Cotton Production using Artificial Intelligence (SCP-AI) British Council Link Award2021 - 2022
Publications (47)
- An IoT-Driven Hybrid Deep Learning Model for Fall Detection in Aging Populations Save
- Chan-Vese aided fuzzy C-means approach for whole breast and fibroglandular tissue segmentation: Preliminary application to real-world breast MRI Save
- Realtime Monitoring of Animal Behavior Using Deep Learning Models Save
- Yolo-pest: an optimized YoloV8x for detection of small insect pests using smart traps Save
- A multimodal fusion framework to diagnose cotton leaf curl virus using machine vision techniques Save
- Enhancing Skin Cancer Diagnosis with Deep Learning: A Hybrid CNN-RNN Approach Save
- Identification of Cotton Leaf Curl Disease Using CNN and Vision Transformer Save
- CT-Based Automatic Spine Segmentation Using Patch-Based Deep Learning Save
- Comparing Inception V3, VGG 16, VGG 19, CNN, and ResNet 50: A Case Study on Early Detection of a Rice Disease Save
- Indoor smart farming by inducing artificial climate for high value-added crops in optimal duration Save
- Protection-Enhanced Watermarking Scheme Combined With Non-Linear Systems Save
- To do or not to do? Is acetylsalicylic acid a safe drug to continue in bipolar turp? Save
- Varietal Discrimination of Guava (Psidium Guajava) Leaves Using Multi Features Analysis Save
- A Machine Vision Approach for Classification of Skin Cancer Using Hybrid Texture Features Save
- Computer Vision Approach for Liver Tumor Classification Using CT Dataset Save
- A Lightweight Convolutional Neural Network Model for Liver Segmentation in Medical Diagnosis Save
- Extraction of Psychological Effects of COVID-19 Pandemic through Topic-Level Sentiment Dynamics Save
- SVseg: Stacked Sparse Autoencoder-Based Patch Classification Modeling for Vertebrae Segmentation Save
- Brain Tumor Classification Based on Hybrid Optimized Multi-features Analysis Using Magnetic Resonance Imaging Dataset Save
- Efficient Liver Segmentation from Computed Tomography Images Using Deep Learning (Retracted Article) Save