Melike Çolak - Academia.edu (original) (raw)

Papers by Melike Çolak

Research paper thumbnail of A Study of Disease Prediction on Weighted Symptom Data Using Deep Learning and Machine Learning Algorithms

2022 International Conference on Theoretical and Applied Computer Science and Engineering (ICTASCE)

Research paper thumbnail of Disease prognosis using machine learning algorithms based on new clinical dataset

Communications Faculty of Sciences University of Ankara Series A2-A3 Physical Sciences and Engineering

Today, artificial intelligence-based solutions are produced to facilitate human life in almost ev... more Today, artificial intelligence-based solutions are produced to facilitate human life in almost every field. The healthcare sector is one of the sectors which took advantage of these solutions. Due to reasons such as the world’s ever-expanding population, ongoing epidemics, and the emergence of new disease types, it is becoming increasingly difficult for a patient to benefit from health services quickly and to make an accurate diagnosis. At this juncture, artificial intelligence reduces the patient density in hospitals, enables patients to access accurate information, and allows medical students to practice by seeing new cases. In this study, a new and reliable dataset was created with disease information obtained from various sources under the supervision of a specialist medical doctor. Then, new patient histories were added to the dataset used in the previous study, the experiments were repeated with the same algorithms, and the accuracy score comparison was presented. The created ...

Research paper thumbnail of Sunn Pest Damaged and Healthy Wheat Grains Dataset Across Different Species

Sunn pest is one of the most crucial noxious species in agriculture. As the sunn pest penetrates ... more Sunn pest is one of the most crucial noxious species in agriculture. As the sunn pest penetrates and makes damage to the grains, they can no longer be utilized to make bakery goods like bread, pasta, and other baked foods since they become unusable. Therefore, analysis and detection of damaged wheat grains are necessary for production to continue. We recommend that the dataset could be used for analysis and segmentation of the wheat grains, detection of the sunn pest damage condition, and classification of the 6 species of which the dataset consists. As mentioned, in our dataset, there are 6 different species of wheat, including Bezostaja, Müfitbey, Nacibey, Sönmez-2001, Tosunbey, and Ekiz, which are the species that were made in Türkiye. Our dataset differs from the others due to its various species and the condition, whether it is healthy or sunn pest damaged or broken wheat grain, and because the dataset is a multiclass one, it can be used for the classification of the varieties....

Research paper thumbnail of Visual Lip Reading Dataset in Turkish

The promised dataset was obtained from the daily Turkish words and phrases pronounced by various ... more The promised dataset was obtained from the daily Turkish words and phrases pronounced by various people in the videos posted on YouTube. The purpose of collecting the dataset is to provide detection of the spoken word by recognizing patterns or classifying lip movements with supervised, unsupervised, semi-supervised learning and machine learning algorithms. Most of the datasets related with lip reading consist of people recorded on camera with fixed backgrounds and the same conditions, but the dataset presented here consists of images compatible with machine learning models developed for real-life challenges. It contains a total of 2335 instances taken from TV series, movies, vlogs, and song clips on YouTube. The images in the dataset vary due to factors such as the way people say words, accent, speaking rate, gender and age. Furthermore, the instances in the dataset consist of videos with different angles, shadows, resolution, and brightness that are not created manually. The most ...

Research paper thumbnail of A Study of Disease Prediction on Weighted Symptom Data Using Deep Learning and Machine Learning Algorithms

2022 International Conference on Theoretical and Applied Computer Science and Engineering (ICTASCE)

Research paper thumbnail of Disease prognosis using machine learning algorithms based on new clinical dataset

Communications Faculty of Sciences University of Ankara Series A2-A3 Physical Sciences and Engineering

Today, artificial intelligence-based solutions are produced to facilitate human life in almost ev... more Today, artificial intelligence-based solutions are produced to facilitate human life in almost every field. The healthcare sector is one of the sectors which took advantage of these solutions. Due to reasons such as the world’s ever-expanding population, ongoing epidemics, and the emergence of new disease types, it is becoming increasingly difficult for a patient to benefit from health services quickly and to make an accurate diagnosis. At this juncture, artificial intelligence reduces the patient density in hospitals, enables patients to access accurate information, and allows medical students to practice by seeing new cases. In this study, a new and reliable dataset was created with disease information obtained from various sources under the supervision of a specialist medical doctor. Then, new patient histories were added to the dataset used in the previous study, the experiments were repeated with the same algorithms, and the accuracy score comparison was presented. The created ...

Research paper thumbnail of Sunn Pest Damaged and Healthy Wheat Grains Dataset Across Different Species

Sunn pest is one of the most crucial noxious species in agriculture. As the sunn pest penetrates ... more Sunn pest is one of the most crucial noxious species in agriculture. As the sunn pest penetrates and makes damage to the grains, they can no longer be utilized to make bakery goods like bread, pasta, and other baked foods since they become unusable. Therefore, analysis and detection of damaged wheat grains are necessary for production to continue. We recommend that the dataset could be used for analysis and segmentation of the wheat grains, detection of the sunn pest damage condition, and classification of the 6 species of which the dataset consists. As mentioned, in our dataset, there are 6 different species of wheat, including Bezostaja, Müfitbey, Nacibey, Sönmez-2001, Tosunbey, and Ekiz, which are the species that were made in Türkiye. Our dataset differs from the others due to its various species and the condition, whether it is healthy or sunn pest damaged or broken wheat grain, and because the dataset is a multiclass one, it can be used for the classification of the varieties....

Research paper thumbnail of Visual Lip Reading Dataset in Turkish

The promised dataset was obtained from the daily Turkish words and phrases pronounced by various ... more The promised dataset was obtained from the daily Turkish words and phrases pronounced by various people in the videos posted on YouTube. The purpose of collecting the dataset is to provide detection of the spoken word by recognizing patterns or classifying lip movements with supervised, unsupervised, semi-supervised learning and machine learning algorithms. Most of the datasets related with lip reading consist of people recorded on camera with fixed backgrounds and the same conditions, but the dataset presented here consists of images compatible with machine learning models developed for real-life challenges. It contains a total of 2335 instances taken from TV series, movies, vlogs, and song clips on YouTube. The images in the dataset vary due to factors such as the way people say words, accent, speaking rate, gender and age. Furthermore, the instances in the dataset consist of videos with different angles, shadows, resolution, and brightness that are not created manually. The most ...