Neural networks are a state-of-the-art approach that performs well for many tasks. The activation function (AF) is an important hyperparameter creates output against the coming inputs to neural network model. AF significantly affects training and performance of Therefore, selecting most optimal processing input data in important. Determining often difficult task. To overcome this difficulty, studies on trainable AFs have been carried out literature recent years. This study presents different...

Crack detection is very important during the inspection of building structures to determine whether they are safe. Therefore, ensure reliability and longevity buildings, it necessary have experts periodically carry out inspections. Building has traditionally been conducted using human-based visual methods as well artificial intelligence that shown great success in computer vision recent years. In this study, 9 different models (Xception, VGG16, ResNet101, InceptionV3, InceptionResNetV2,...

Fish is a very diverse animal of all vertebrate groups, which there are more than 33,000 species in the world. There different types fish four major geographical regions Turkey. Classification important for aquaculture, stock management water bodies, monitoring aquatic organisms and conservation marine biology. In classification fish, both knowledge great effort required to determine characteristics fish. Traditionally, however, manual extrinsic has been difficult time-consuming process due...

In convolutional neural networks, pooling methods are used to reduce both the size of data and number parameters after convolution models.These computational amount making network more efficient.Maximum pooling, average minimum generally in networks.However, these not suitable for all datasets applications.In this study, a new approach literature is proposed increase efficiency success rates networks.This method, which we call MAM (Maximum Average Minimum) interactive than other traditional...

Fish remains popular among the body's most essential nutrients, as it contains protein and polyunsaturated fatty acids. It is extremely important to choose fish consumption according season freshness of be purchased. very difficult distinguish between non-fresh fresh mixed in stalls. In addition traditional methods used determine meat freshness, significant success has been achieved studies on detection with artificial intelligence techniques. this study, two different types (anchovy horse...

Crack detection is very important during the inspection of building structures to determine whether they are safe. However, it reveals both quality and durability structures. Therefore, ensure reliability longevity buildings, necessary carry out inspections by experts at certain periodic times. Building has traditionally been studied using human-based visual methods as well artificial intelligence that have shown great success in computer vision recent years. In this study, a new fusion...

Recently, coronavirus disease (Covid-19) has become a serious public health threat, spreading worldwide in very short time and threatening the lives of millions. With increasing number cases mutations, medical resources are being drained day by due to rapid transmission disease, systems many countries negatively affected. For this reason, it is important use available appropriately timely for detection treatment disease. In study, VGG16 ResNet50 deep learning models were used quickly...

With the innovations in technology, interest use of mobile devices is increasing day by day. Any defect that may occur during production smart phones, which among devices, causes significant damage to both manufacturer and user. The careful detection defects on screen glass, one most striking these defects, with human eye significantly affects workforce cost. Therefore, it important detect help software. In recent years, many methods based machine vision have been developed for any object or...

Classification and monitoring of microalgae species in aquatic ecosystems are important for understanding population dynamics.However, manual classification algae is a time-consuming method requires lot effort with expertise due to the large number families genera its classification.The recognition has become an increasingly research area image recent years.In this study, machine learning deep methods were proposed classify images 12 different order successfully cells.8 Different novel...

Yüz ifadesinden duygu tanıma; insan-bilgisayar etkileşimi, duygusal hesaplama vb. gibi birçok bilgisayarla görme alanında uygulanabilen güncel bir araştırma konusudur. Bu çalışmada, KDEF ve PICS veri setleri kullanılarak derin öğrenme ile tanımaya yönelik uygulama yapılmıştır. Öznitelik çıkarımı için tekniklerinden olan yapay sinir ağları içeren zekâ yaklaşımı Evrişimsel Sinir Ağı (ESA) yeni model geliştirilmiştir. Derin öğrenmenin yüksek başarımı büyük setine ihtiyaç duyulmaktadır. setinde...

This paper proposes three methods of the optimal smart meter selection for acting as a data concentrator in automatic reading last mile network.The study explains reasons why selected should also act concentrator, addition to its basic role.To select meter, either reliability communication or speed process were taken into account.Graph theory is employed analyze network, described sets nodes and unreliable links.The frame error ratio was used assess unreliability whilst number hops describe...

Diabetic retinopathy (DR) is an important disease that occurs because of damage to the retinal blood vessels in human eye due diabetes and causes blindness. If diagnosed correctly, treatments be applied increase possibility preventing vision loss or This study aims present evaluation deep learning methods detect diabetic from images. In this direction, VGG16 model was considered, two different versions were obtained by making improvements. Besides, a has been proposed, first layers are...

The field of computer vision, which is widely studied area, basically the imitation human vision system with digital devices.Computer systems perform operations through images or video and decide according to result.In this context, object recognition must be performed at first stage in order extract meaningful information from image.In study, application was developed using deep learning method, especially popular recent years.It has also been compared classical machine methods often used...

Skin cancer is one of the most common type in humans. This produced by skin cells called melanocytes and occurs as a result division multiplication mentioned cells. The important symptom formation spots on or observation changes shape, color, size existing spot. It necessary to consult specialist distinguish difference between normal spot cancer. Expert physicians examine follow up using surface microscopy, dermatoscopy, take sample from suspicious area request it be examined laboratory...

Printed Circuit Boards (PCBs) are electronic boards that hold components together and provide the electrical connection between these components. circuit offer many advantages over traditional wired circuits, such as durability, less heat, minimal wiring, ease of assembly. Correct design production printed significantly affect quality efficiency boards. In this study, a defect detection system based on machine learning deep algorithms is proposed to help produce accurately minimize error...

Today, tick-borne diseases have become widespread and pose a significant threat to public health.There are various types of transmitted from ticks humans.The main these diseases; Crimean-Congo hemorrhagic fever, Lyme disease, Mediterranean spotted fever Tularemia can be listed.As with other diseases, early diagnosis is important in diseases.Therefore, it necessary identify quickly accurately order reduce the possible risks disease cases errors bitten by ticks.In this study, Yolo-v3-based...