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Tomato leaves diseases detection approach based on Support Vector Machines
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A hybrid segmentation approach based on Neutrosophic sets and modified watershed: A case of abdominal CT Liver parenchyma
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Detection of Breast Abnormalities of Thermograms based on a New Segmentation Method
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Thermogram breast cancer detection approach based on Neutrosophic sets and fuzzy c-means algorithm.
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Identifying Two of Tomatoes Leaf Viruses Using Support Vector Machine
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An Observational Study to Identify the Role of Online Communication in Offline Social Networks
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Tomato leaves diseases detection approach based on Support Vector Machines
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A Simple Approach for Segmentation and Removal of Interphase Cells from Chromosome Images
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An Image Steganography Algorithm using Haar Discrete Wavelet Transform with Advanced Encryption System
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Design of an Internet of Things (IoT) network system for Kitchen food waste management
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An Intuitionistic Fuzzy Sets Implementation for Key Distribution in Hybrid Message Encryption Over WSNs
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An Experimental Model of a Qualitative Decision Support System for Quality Assessment Support at Higher Education Institutions
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A Hybrid Model (SVM-LOA) for Epileptic Seizure Detection in Long-Term EEG Records Using Machine Learning Techniques
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Increasing the hiding capacity in image steganography using Braille code
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An Ensemble of Global and Local-Attention Based Convolutional Neural Networks for COVID-19 Diagnosis on Chest X-ray Images
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Bio-inspired Based Techniques for Thermogram Breast Cancer Classification
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Classification of Glaucoma Based on Elephant-Herding Optimization Algorithm and Deep Belief Network
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Real-Time Facemask Detection for Preventing COVID-19 Spread Using Transfer Learning Based Deep Neural Network
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A Novel Method for Survival Prediction of Hepatocellular Carcinoma Using Feature-Selection Techniques
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A Novel Method for the Classification of Butterfly Species Using Pre-Trained CNN Models
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An Efficient Heap Based Optimizer Algorithm for Feature Selection
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A Feature Selection Based on Improved Artificial Hummingbird Algorithm Using Random Opposition-Based Learning for Solving Waste Classification Problem
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Usage And Usability Of Health Mobile Applications During Covid-19 In Saudi Arabia-A Case Of Tawakkalna And Sehaty Application
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MULTforAD: Multimodal MRI Neuroimaging for Alzheimer’s Disease Detection Based on a 3D Convolution Model
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Construction Site Hazards Identification Using Deep Learning and Computer Vision
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A Meta-Heuristic Multi-Objective Optimization Method for Alzheimer’s Disease Detection Based on Multi-Modal Data
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Detecting Plant Disease in Corn Leaf Using EfficientNet Architecture—An Analytical Approach
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