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View article: Deep learning for image-based detection of weeds from emergence to maturity in wheat fields
Deep learning for image-based detection of weeds from emergence to maturity in wheat fields Open
Effective weed control in wheat (Triticum aestivum L.) fields is crucial for optimizing production and ensuring food security in semi-arid regions. The implementation of deep learning for weed detection could enable precise weed management…
View article: Geliştirilmiş EfficientNet-B0 mimarisi ile Helikobakter Pilorinin Teşhisi
Geliştirilmiş EfficientNet-B0 mimarisi ile Helikobakter Pilorinin Teşhisi Open
Kansere bağlı ölümlerde önde gelen türlerden olan mide kanserine çevresel ve genetik birçok faktör sebebiyet verebilir. Başlıca risk faktörlerinden birisi ise midede gastrit ve ülsere neden olan helikobakter pilori bakteri virüsüdür. Bu vi…
View article: Deep learning-based breast cancer diagnosis with multiview of mammography screening to reduce false positive recall rate
Deep learning-based breast cancer diagnosis with multiview of mammography screening to reduce false positive recall rate Open
Breast cancer is the most prevalent and crucial cancer type that should be diagnosed early to reduce mortality. Therefore, mammography is essential for early diagnosis owing to high-resolution imaging and appropriate visualization. However…
View article: A Comparative Analysis of Deep Learning-Based Approaches for Classifying Dental Implants Decision Support System
A Comparative Analysis of Deep Learning-Based Approaches for Classifying Dental Implants Decision Support System Open
View article: Deep Learning for Image-Based Detection of Weeds from Emergence to Maturity in Wheat Fields
Deep Learning for Image-Based Detection of Weeds from Emergence to Maturity in Wheat Fields Open
View article: A comparative study of YOLO models and a transformer-based YOLOv5 model for mass detection in mammograms
A comparative study of YOLO models and a transformer-based YOLOv5 model for mass detection in mammograms Open
Breast cancer is a prevalent form of cancer across the globe, and if it is not diagnosed at an early stage it can be life-threatening. In order to aid in its diagnosis, detection, and classification, computer-aided detection (CAD) systems …
View article: Deep Learning for Image-Based Detection of Weeds from Emergence to Maturity in Wheat Fields
Deep Learning for Image-Based Detection of Weeds from Emergence to Maturity in Wheat Fields Open
View article: How to Affect the Number of Images on the Success Rate for Detection of Weeds with Deep Learning
How to Affect the Number of Images on the Success Rate for Detection of Weeds with Deep Learning Open
The detection of weeds with computer vision without the help of an expert is important for scientific studies and other purposes. The images used for the detection of weeds are recorded under controlled conditions and used in image process…
View article: Unclonable Features via Electrospraying of Bulk Polymers
Unclonable Features via Electrospraying of Bulk Polymers Open
The ability to encode unclonable information using low-cost materials and processes is of significant interest for anti-counterfeiting and information security applications. In this study, we present a versatile approach based on electrosp…
View article: ERUSLR: Yeni bir Türkçe işaret dili veri seti ve hiperparametre optimizasyonu destekli evrişimli sinir ağı ile tanınması
ERUSLR: Yeni bir Türkçe işaret dili veri seti ve hiperparametre optimizasyonu destekli evrişimli sinir ağı ile tanınması Open
İşaret dili, dilsel ve işitsel yetilerini kaybeden konuşma ve duyma engelli bireylerin iletişimini sağlayan en önemli araçtır. El hareketi, mimik veya dudak hareketi kullanılarak iletişimin sağlandığı işaret dilini öğrenmek oldukça zor bir…
View article: Metabolic Imaging Based Sub-Classification of Lung Cancer
Metabolic Imaging Based Sub-Classification of Lung Cancer Open
Lung cancer is one of the deadliest cancer types whose 84% is non-small cell lung cancer (NSCLC). In this study, deep learning-based classification methods were investigated comprehensively to differentiate two subtypes of NSCLC, namely ad…
View article: Lip Reading Using Convolutional Neural Networks with and without Pre-Trained Models
Lip Reading Using Convolutional Neural Networks with and without Pre-Trained Models Open
Lip reading has become a popular topic recently. There is a widespread literature studies on lip reading in human action recognition. Deep learning methods are frequently used in this area. In this paper, lip reading from video data is per…
View article: PARMAK İZİ TANIMA İÇİN FARKLI SINIFLANDIRICILARIN KARŞILAŞTIRMALI BAŞARIM ANALİZİ
PARMAK İZİ TANIMA İÇİN FARKLI SINIFLANDIRICILARIN KARŞILAŞTIRMALI BAŞARIM ANALİZİ Open
Inthis study, recognition of fingerprint images has been performed by recentclassifiers as well as some important and common classifiers available in theliterature. The classification methods used in the study are support vectormachines, k…
View article: A Fast Firefly Algorithm
A Fast Firefly Algorithm Open
In this study, the advantages of the parallel compution paradigms are utilized in a recent optimization algorithm, firefly algorithm. In the proposed implementation, the population is divided into subpopulations and each subpopulation is r…
View article: DIAGNOSIS OF THE PARKINSON DISEASE BY USING DEEP NEURAL NETWORK CLASSIFIER
DIAGNOSIS OF THE PARKINSON DISEASE BY USING DEEP NEURAL NETWORK CLASSIFIER Open
Parkinson disease occurs when certain clustersof brain cells are unable to generate dopamine which is needed to regulate thenumber of the motor and non-motor activity of the human body. Besides,contributing to speech, visual, movement, uri…
View article: A Deep Neural Network Classifier for Decoding Human Brain Activity Based on Magnetoencephalography
A Deep Neural Network Classifier for Decoding Human Brain Activity Based on Magnetoencephalography Open
Magnetoencephalography (MEG) is an emerging medical signal processing methodology that uses the magnetic field of brain to decode internal brain activity. However, MEG signals are very complicated and usually corrupted with significant amo…
View article: Parallel population-based algorithm portfolios: An empirical study
Parallel population-based algorithm portfolios: An empirical study Open