Search Results - "Mahmood, Arif"

Plant Disease Detection and Classification by Deep Learning by Saleem, Muhammad Hammad, Potgieter, Johan, Mahmood Arif, Khalid

“…Plant diseases affect the growth of their respective species, therefore their early identification is very important. Many Machine Learning (ML) models have…”
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Moving Object Detection in Complex Scene Using Spatiotemporal Structured-Sparse RPCA by Javed, Sajid, Mahmood, Arif, Al-Maadeed, Somaya, Bouwmans, Thierry, Soon Ki Jung

“…Moving object detection is a fundamental step in various computer vision applications. Robust principal component analysis (RPCA)-based methods have often been…”
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Spatiotemporal Low-Rank Modeling for Complex Scene Background Initialization by Javed, Sajid, Mahmood, Arif, Bouwmans, Thierry, Jung, Soon Ki

“…Background modeling constitutes the building block of many computer-vision tasks. Traditional schemes model the background as a low rank matrix with corrupted…”
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Image-Based Plant Disease Identification by Deep Learning Meta-Architectures by Saleem, Muhammad Hammad, Khanchi, Sapna, Potgieter, Johan, Arif, Khalid Mahmood

“…The identification of plant disease is an imperative part of crop monitoring systems. Computer vision and deep learning (DL) techniques have been proven to be…”
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Learning Soft Mask Based Feature Fusion with Channel and Spatial Attention for Robust Visual Object Tracking by Fiaz, Mustansar, Mahmood, Arif, Jung, Soon Ki

“…We propose to improve the visual object tracking by introducing a soft mask based low-level feature fusion technique. The proposed technique is further…”
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Unsupervised deep context prediction for background estimation and foreground segmentation by Sultana, Maryam, Mahmood, Arif, Javed, Sajid, Jung, Soon Ki

“…Background estimation is a fundamental step in many high-level vision applications, such as tracking and surveillance. Existing background estimation…”
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Internal Emotion Classification Using EEG Signal With Sparse Discriminative Ensemble by Ullah, Habib, Uzair, Muhammad, Mahmood, Arif, Ullah, Mohib, Khan, Sultan Daud, Cheikh, Faouzi Alaya

“…Among various physiological signal acquisition methods for the study of the human brain, EEG (Electroencephalography) is more effective. EEG provides a…”
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Masked Linear Regression for Learning Local Receptive Fields for Facial Expression Synthesis by Khan, Nazar, Akram, Arbish, Mahmood, Arif, Ashraf, Sania, Murtaza, Kashif

“…Compared to facial expression recognition, expression synthesis requires a very high-dimensional mapping. This problem exacerbates with increasing image sizes…”
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One-Temperature Analytical Model for Femto-/Atto-Second Laser–Metals Drilling: A Novel Approach by Mihailescu, Cristian N., Mahmood, Muhammad Arif, Mihailescu, Natalia, Oane, Mihai

“…Recently, ultrafast lasers have been developed and potentially become a point of interest worldwide, as their interaction with matter is yet unknown and can be…”
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Population Fusion Transformer for Subnational Population Forecasting by Alghanmi, Nusaybah, Alotaibi, Reem, Alshammari, Sultanah, Mahmood, Arif

“…Forecasting the subnational population accurately is needed for sustainable development, including planning for the future, allocating resources, or providing…”
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Laser ablation assisted micropattern screen printed transduction electrodes for sensing applications by Rehmani, Muhammad Asif Ali, Lal, Kartikay, Shaukat, Ayesha, Arif, Khalid Mahmood

“…In this work we present a facile method for the fabrication of several capacitive transduction electrodes for sensing applications. To prepare the electrodes,…”
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A Comprehensive Review of Microfluidic Water Quality Monitoring Sensors by Jaywant, Swapna A, Arif, Khalid Mahmood

“…Water crisis is a global issue due to water contamination and extremely restricted sources of fresh water. Water contamination induces severe diseases which…”
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Microglia and Astrocytes Dysfunction and Key Neuroinflammation-Based Biomarkers in Parkinson's Disease by Chen, Kun, Wang, Haoyang, Ilyas, Iqra, Mahmood, Arif, Hou, Lijun

“…Parkinson's disease (PD) is the second most common neurodegenerative disease, with symptoms such as tremor, bradykinesia with rigidity, and depression…”
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Fake visual content detection using two-stream convolutional neural networks by Yousaf, Bilal, Usama, Muhammad, Sultani, Waqas, Mahmood, Arif, Qadir, Junaid

“…Rapid progress in adversarial learning has enabled the generation of realistic-looking fake visual content. To distinguish between fake and real visual…”
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Improving Object Tracking by Added Noise and Channel Attention by Fiaz, Mustansar, Mahmood, Arif, Baek, Ki Yeol, Farooq, Sehar Shahzad, Jung, Soon Ki

“…CNN-based trackers, especially those based on Siamese networks, have recently attracted considerable attention because of their relatively good performance and…”
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Effect of Material and Process Specific Factors on the Strength of Printed Parts in Fused Filament Fabrication: A Review of Recent Developments by Harris, Muhammad, Potgieter, Johan, Archer, Richard, Arif, Khalid Mahmood

“…Additive manufacturing (AM) is rapidly evolving as the most comprehensive tool to manufacture products ranging from prototypes to various end-user…”
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Palmprint Identification Using an Ensemble of Sparse Representations by Rida, Imad, Al-Maadeed, Somaya, Mahmood, Arif, Bouridane, Ahmed, Bakshi, Sambit

“…Among various palmprint identification methods proposed in the literature, sparse representation for classification (SRC) is very attractive offering high…”
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Statistically correlated multi-task learning for autonomous driving by Abbas, Waseem, Khan, Muhammad Fakhir, Taj, Murtaza, Mahmood, Arif

“…Autonomous driving research is an emerging area in the machine learning domain. Most existing methods perform single-task learning, while multi-task learning…”
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Sensors and Instruments for Brix Measurement: A Review by Jaywant, Swapna A, Singh, Harshpreet, Arif, Khalid Mahmood

“…Quality assessment of fruits, vegetables, or beverages involves classifying the products according to the quality traits such as, appearance, texture, flavor,…”
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Improving Chlorophyll-A Estimation From Sentinel-2 (MSI) in the Barents Sea Using Machine Learning by Asim, Muhammad, Brekke, Camilla, Mahmood, Arif, Eltoft, Torbjorn, Reigstad, Marit

“…This article addresses methodologies for remote sensing of ocean Chlorophyll-a (Chl-a), with emphasis on the Barents Sea. We aim at improving the monitoring…”
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