Search Results - "NAWAZ, Marriam"
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DCNet: DenseNet-77-based CornerNet model for the tomato plant leaf disease detection and classification
Published in Frontiers in plant science (08-09-2022)“…Early recognition of tomato plant leaf diseases is mandatory to improve the food yield and save agriculturalists from costly spray procedures. The correct and…”
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A novel deep learning method for detection and classification of plant diseases
Published in Complex & intelligent systems (01-02-2022)“…The agricultural production rate plays a pivotal role in the economic development of a country. However, plant diseases are the most significant impediment to…”
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An improved faster-RCNN model for handwritten character recognition
Published in Arabian journal for science and engineering (2011) (01-09-2021)“…Existing techniques for hand-written digit recognition (HDR) rely heavily on the hand-coded key points and requires prior knowledge. Training an efficient HDR…”
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Artificial Intelligence-Based Drone System for Multiclass Plant Disease Detection Using an Improved Efficient Convolutional Neural Network
Published in Frontiers in plant science (09-06-2022)“…The role of agricultural development is very important in the economy of a country. However, the occurrence of several plant diseases is a major hindrance to…”
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Prediction of Heart Disease Using Deep Convolutional Neural Networks
Published in Arabian journal for science and engineering (2011) (01-04-2021)“…Heart diseases are currently a major cause of death in the world. This problem is severe in developing countries in Africa and Asia. A heart disease predicted…”
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A robust deep learning approach for tomato plant leaf disease localization and classification
Published in Scientific reports (03-11-2022)“…Tomato plants' disease detection and classification at the earliest stage can save the farmers from expensive crop sprays and can assist in increasing the food…”
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An Efficient Deep Learning Approach to Automatic Glaucoma Detection Using Optic Disc and Optic Cup Localization
Published in Sensors (Basel, Switzerland) (01-01-2022)“…Glaucoma is an eye disease initiated due to excessive intraocular pressure inside it and caused complete sightlessness at its progressed stage. Whereas timely…”
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A Novel Approach for Brain Tumor Classification Using an Ensemble of Deep and Hand-Crafted Features
Published in Sensors (Basel, Switzerland) (12-05-2023)“…One of the most severe types of cancer caused by the uncontrollable proliferation of brain cells inside the skull is brain tumors. Hence, a fast and accurate…”
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Detection of Diabetic Eye Disease from Retinal Images Using a Deep Learning Based CenterNet Model
Published in Sensors (Basel, Switzerland) (05-08-2021)“…Diabetic retinopathy (DR) is an eye disease that alters the blood vessels of a person suffering from diabetes. Diabetic macular edema (DME) occurs when DR…”
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Melanoma localization and classification through faster region-based convolutional neural network and SVM
Published in Multimedia tools and applications (01-08-2021)“…Melanoma is a lethal skin cancer disease affecting millions of people around the globe and has a high mortality rate. Dermatologists perform the manual…”
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A Novel Deep Learning Method for Recognition and Classification of Brain Tumors from MRI Images
Published in Diagnostics (Basel) (21-04-2021)“…A brain tumor is an abnormal growth in brain cells that causes damage to various blood vessels and nerves in the human body. An earlier and accurate diagnosis…”
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Custom CornerNet: a drone-based improved deep learning technique for large-scale multiclass pest localization and classification
Published in Complex & intelligent systems (01-04-2023)“…Insect pests are among the most critical factors affecting crops and result in a severe reduction in food yield. At the same time, early and accurate…”
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MaizeNet: A Deep Learning Approach for Effective Recognition of Maize Plant Leaf Diseases
Published in IEEE access (2023)“…The presence of various maize plant leaf diseases has significantly decreased both the quality and quantity of crop production. In order to take the…”
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Analysis of Brain MRI Images Using Improved CornerNet Approach
Published in Diagnostics (Basel) (08-10-2021)“…The brain tumor is a deadly disease that is caused by the abnormal growth of brain cells, which affects the human blood cells and nerves. Timely and precise…”
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CXray-EffDet: Chest Disease Detection and Classification from X-ray Images Using the EfficientDet Model
Published in Diagnostics (Basel) (09-01-2023)“…The competence of machine learning approaches to carry out clinical expertise tasks has recently gained a lot of attention, particularly in the field of…”
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Efficient-ECGNet framework for COVID-19 classification and correlation prediction with the cardio disease through electrocardiogram medical imaging
Published in Frontiers in medicine (04-11-2022)“…In the last 2 years, we have witnessed multiple waves of coronavirus that affected millions of people around the globe. The proper cure for COVID-19 has not…”
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MedNet: Medical deepfakes detection using an improved deep learning approach
Published in Multimedia tools and applications (01-05-2024)“…Recently, the massive development in the field of deep learning (DL) and artificial intelligence (AI)-aware tools have forced the requirement of caution when…”
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EDet-BTR: EfficientDet-based brain tumor recognition from the magnetic resonance imaging
Published in Biomedical signal processing and control (01-10-2024)“…•We introduce a novel strategy that leverages the EfficientDet model for the precise localization and classification of brain tumors from MRI images. Our model…”
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ResNet-Swish-Dense54: a deep learning approach for deepfakes detection
Published in The Visual computer (01-12-2023)“…Development in artificial intelligence has brought a new revolution to technologies and approaches that have been employed for malicious purposes specifically…”
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A deep learning model for FaceSwap and face-reenactment deepfakes detection
Published in Applied soft computing (01-09-2024)“…Recently, the higher availability of multimedia content on social websites, together with lightweight deep learning (DL) empowered tools like Generative…”
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