Search Results - "Arif, Khalid Mahmood"

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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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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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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Fatigue testing of integrated thin film metal membranes for implantable biomedical pressure sensors by Sodavaram, Nireekshan Kumar, Arif, Khalid Mahmood

“…The longevity of thin film membranes is vital for the lifetime monitoring of fluid pressure inside the human body. However, aging and mechanical fatigue of the…”
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Automation in Agriculture by Machine and Deep Learning Techniques: A Review of Recent Developments by Saleem, Muhammad Hammad, Potgieter, Johan, Arif, Khalid Mahmood

“…Recently, agriculture has gained much attention regarding automation by artificial intelligence techniques and robotic systems. Particularly, with the…”
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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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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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Design and development of an extrusion system for 3D printing biopolymer pellets by Whyman, Sean, Arif, Khalid Mahmood, Potgieter, Johan

“…The extrusion system is an integral part of any fused deposition style 3D printing technique. However, the extruder designs found in commercial and hobbyist…”
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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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Plant Disease Classification: A Comparative Evaluation of Convolutional Neural Networks and Deep Learning Optimizers by Saleem, Muhammad Hammad, Potgieter, Johan, Arif, Khalid Mahmood

“…Recently, plant disease classification has been done by various state-of-the-art deep learning (DL) architectures on the publicly available/author generated…”
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Low-cost IoT based system for lake water quality monitoring by Lal, Kartikay, Menon, Sanoj, Noble, Frazer, Arif, Khalid Mahmood

“…Water quality monitoring is a critical process in maintaining the well-being of aquatic ecosystems and ensuring growth of the surrounding environment. Clean…”
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Low-Cost CO Sensor Calibration Using One Dimensional Convolutional Neural Network by Ali, Sharafat, Alam, Fakhrul, Arif, Khalid Mahmood, Potgieter, Johan

“…The advent of cost-effective sensors and the rise of the Internet of Things (IoT) presents the opportunity to monitor urban pollution at a high spatio-temporal…”
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Leveraging Temporal Information to Improve Machine Learning-Based Calibration Techniques for Low-Cost Air Quality Sensors by Ali, Sharafat, Alam, Fakhrul, Potgieter, Johan, Arif, Khalid Mahmood

“…Low-cost ambient sensors have been identified as a promising technology for monitoring air pollution at a high spatio-temporal resolution. However, the…”
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Weed Detection by Faster RCNN Model: An Enhanced Anchor Box Approach by Saleem, Muhammad Hammad, Potgieter, Johan, Arif, Khalid Mahmood

“…To apply weed control treatments effectively, the weeds must be accurately detected. Deep learning (DL) has been quite successful in performing the weed…”
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High resolution electrohydrodynamic printing of conductive ink with an aligned aperture coaxial printhead by Rehmani, Muhammad Asif Ali, Arif, Khalid Mahmood

“…Electrohydrodynamic (EHD) printing is a promising inkjet technique to generate smaller droplet sizes due to the formation of a Taylor cone. However, the…”
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Electrochemical and Optical Sensors for Real-Time Detection of Nitrate in Water by Lal, Kartikay, Jaywant, Swapna A., Arif, Khalid Mahmood

“…The health and integrity of our water sources are vital for the existence of all forms of life. However, with the growth in population and anthropogenic…”
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A weight optimization-based transfer learning approach for plant disease detection of New Zealand vegetables by Saleem, Muhammad Hammad, Potgieter, Johan, Arif, Khalid Mahmood

“…Deep learning (DL) is an effective approach to identifying plant diseases. Among several DL-based techniques, transfer learning (TL) produces significant…”
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Low-Cost Sensor for Continuous Measurement of Brix in Liquids by Jaywant, Swapna A, Singh, Harshpreet, Arif, Khalid Mahmood

“…This paper presents a Brix sensor based on the differential pressure measurement principle. Two piezoresistive silicon pressure sensors were applied to measure…”
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Robowler: Design and development of a cricket bowling machine ensuring ball seam position by Raza, Ali, Diegel, Olaf, Arif, Khalid Mahmood

“…The art of cricket bowling is complex and arduous owing to the run-up and ball release time energy requirement to achieve speed and variations. Therefore,…”
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A Performance-Optimized Deep Learning-Based Plant Disease Detection Approach for Horticultural Crops of New Zealand by Saleem, Muhammad Hammad, Potgieter, Johan, Arif, Khalid Mahmood

“…Deep learning-based plant disease detection has gained significant attention from the scientific community. However, various aspects of real horticultural…”
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