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Think Round, Inc
- Syria - Homs
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07:44
(UTC -12:00) - https://www.kaggle.com/kaledhoshme
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- kaled.hoshme
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Similarity between faces: One person resembles another person to a large degree. This can lead to many problems facing security surveillance systems. Facial recognition systems have difficulty dist…
Jupyter Notebook MIT License UpdatedJun 25, 2024 -
Early-Detection-of-Collective-or-Individual-Theft-Attempts-Us-ing-Long-term-Recurrent-Convolutional- Public
I designed an intelligent system capable of analyzing movement within the videos and detecting suspicious movement that precedes the occurrence of shoplifting crimes. The proposed system can analyz…
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In this study, we work to transfer the pattern to the basic face image from the pattern face image, by adjusting the latent space and moving within it.
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The study works on generating CT images from MRI images, where unsupervised learning was used using VAE-CycleGan. Since the number of samples included in the data set used in the study, and therefo…
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Converting night into day is one of the most interesting applications in generative models, due to the great difficulty in recreating the scene during the day, especially in cases of extreme darkne…
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Dental segmentation for adults. Many dentists find it difficult to analyze dental panoramic images for adults. One of the difficulties that dentists suffer from is the difficulty in determining the…
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Dermatologists suffer from the difficulty of locating cancerous and malignant skin lesions, which causes many problems during the process of removing the tumor, which leads to the return of the tum…
keras image-processing medical-imaging convolutional-neural-networks image-segmentation unet skin-segmentationJupyter Notebook MIT License UpdatedAug 6, 2023 -
The following study, through which we can generate X-ray images of the chest region in a semi-conditional manner, by taking advantage of the probability distributions.
computer-vision tensorflow keras generative-adversarial-network gan infogan semi-supervised-learningJupyter Notebook MIT License UpdatedJul 24, 2023 -
Breast cancer is one of the most common causes of death among women worldwide. Early detection helps reduce the number of premature deaths. In the study, I am working on creating a convolutional ne…
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The following study presents a model for generating chest X-ray images of normal subjects (without lung disease) and pneumonia patients.
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Convolutional eXtreme Gradient Boosting for classification of brain tumors based on convolutional neural networks and XGBoost.
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In many cases that doctors face during the different treatment processes for many patients, so that the doctor tries every time to remember an old pathological condition that he encountered in adva…
machine-learning computer-vision deep-learning image-processing medical-imaging biometrics computervisionJupyter Notebook MIT License UpdatedJul 6, 2023 -
create a model capable of predicting the patient's age group through chest X-rays.
Jupyter Notebook MIT License UpdatedJul 6, 2023 -
People with pulmonary disease often have a high opacity, which makes segmentation of the lung from chest X-rays more difficult. In this study, I propose a methodology to improve the performance of …
segmentation chest-xray-images opacity unet variational-autoencoder variational-autoencoders chest-xrayJupyter Notebook MIT License UpdatedJul 6, 2023 -
The study relied on conditional Variational Autoencoders to generate x-ray images, so that we can be able to regenerate the images according to the most important information that the x-ray images …
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Simulate a ventilator connected to a sedated patient's lung
Jupyter Notebook MIT License UpdatedJul 6, 2023 -
Proposing a neural network architecture capable of classifying protein organelle localization labels, the proposed model was able to reach an accuracy of 95 percent for test data and training data.…
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Obtaining a Heat Map of the areas most influential in sorting chest X-ray images.
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The proposed model is able to predict the evaluation of both grammatical coherence, vocabulary and grammatical conventions, so that the evaluation can give each of those criteria a value between 1 …
Jupyter Notebook UpdatedJan 9, 2023 -
identify digits from a dataset of tens of thousands of handwritten images
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Understanding the relationship between amino acid sequence and protein function is a long-standing problem in molecular biology with far-reaching scientific implications.
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Misdiagnosis of many diseases affecting agricultural crops can lead to chemical misuse resulting in the emergence of resistant pathogenic strains, increased input costs, and more outbreaks leading …
Jupyter Notebook UpdatedOct 1, 2022 -
The following code illustrates the mechanism by which we can aggregate Tweets based on sentiment. The aggregation process is based on the association of tweets with the same feelings, as well as th…
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A model of the segmentation of the lung region from the x-ray images, the model relies on forming a mask through which that region can be cut.
Jupyter Notebook UpdatedSep 12, 2022 -
A-proposed-model-that-can-predict-the-assessment-of-both-Syntax-Cohesion-Vocabulary-Phraseology- Public
The proposed model is able to predict the evaluation of both grammatical coherence, vocabulary and grammatical conventions, so that the evaluation can give each of those criteria a value between 1 …
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Suggesting a neural network architecture for analyzing and recognizing texts, where transformers were used through a pre-trained BERT model, in addition to its integration with the LSTM layer with …
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Proposing the structure of a convolutional neural network, to identify the type of images of documents, the proposed structure of the convolutional neural network includes dividing the image of the…
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The following notebook, reviews the methodology by which we can build a recurrent neural network that is able to analyze text sentences and determine whether they are congruent in meaning or contra…
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Suggesting a convolutional neural network to identify pizza and distinguish it from other diets