Publications

In livestock, temperature, humidity, and Temperature-Humidity Index (THI) affect the welfare, yields, health and viability of animals. …

Depending on the development of robotic technologies and systems, robots have begun to be preferred in the industry for jobs that are …

Subtle details in medical images can be crucial in disease diagnosis. Therefore, these images need to be analyzed accurately and …

Recognizing and analyzing medical images is crucial for disease early detection and treatment planning with appropriate treatment …

The presence of hair in dermoscopy images poses significant challenges for the diagnosis and analysis of skin lesions, particularly for …

The classification of medical images enables physicians to perform expeditious and accurate data analysis, increasing the chances of …

Skin cancer accounts for approximately half of all cancer cases worldwide, making it one of the most prevalent types of cancer. …

Convolutional neural networks (CNN) have been successfully used in the classification of medical images. However, CNNs extract the …

This study is about the metaverse environment which has recently heard a lot in life. Although many individuals and institutions are …

In order to diagnose and treat diseases, a variety of imaging techniques are used, including X-ray, computed tomography (CT), …

Fish is commonly acknowledged as a highly nutritious food in many regions worldwide, and humans have been consuming fish for centuries …

In order to increase the market value and quality of wheat, it is important to separate different types and determine the amount of …

Cloud computing is one of the leading technological advancements in the 21st century. Cloud computing can be defined as the delivery of …

Battery management systems (BMS) are becoming essential for all types of electric vehicles using battery packs. Various factors, such …

Since dry bean varieties have different qualities and economic values, their separation is of great importance in the field of …

Rheumatoid Arthritis (RA) is a very common autoimmune disease that causes significant morbidity and mortality, and therefore early …

The robotic welding process is widely used in many industry sectors, and its use in production lines is becoming more common day by …

Load balancing and task scheduling are the main challenges in Cloud Computing. Existing load balancing algorithms have a drawback in …

There are many types of haricot beans, the nutrient consumed all over the world. Each type differs in terms of features such as taste, …

Bu çalışmanın amacı 0-12 aylık yaşta farklı büyüme ve gelişme dönemindeki sığırların bazı vücut ölçümlerinden canlı ağırlık tahmininde …

Eimeria is a parasite that lives in the intestinal, bile duct, and liver tissues of various domestic animals such as rabbits, chickens, …

In precision livestock, there has been a growing demand for innovative tools that collect and analyze information about individual …

The meaningful performance of convolutional neural network (CNN) has enabled the solution of various state-of-the-art problems. …

Pistachio is a shelled fruit from the anacardiaceae family. The homeland of pistachio is the Middle East. The Kirmizi pistachios and …

The main product of grapevines is grapes that are consumed fresh or processed. In addition, grapevine leaves are harvested once a year …

Epileptic attacks can be caused by irregularities in the electrical activities of the brain. Electroencephalography (EEG) data …

In this study, K nearest neighbor (kNN) algorithm which is the most popular and widely used among the machine learning classification …

In order to keep the economic value of pistachio nuts which have an important place in the agricultural economy, the efficiency of …

Electric load estimation is very important in efficient operation of power systems and future planning. Load estimation is based on …

The efficient operation of power systems and future planning, electricity load forecast is very important. Load estimation is based on …

The development of image processing technology appears in agriculture as well as in many other fields. Various classifications are …

Including uncertainties such as the performance of the teams, player performance indicators, and the quality of the competitors, there …

Various models are used in the banking system to organize the queue structure of customers’ banking transactions. The average …

Thanks to their electrochemical structure, batteries are the elements that can store electrical energy and spend on a load when the …

Sinir ağları algoritmalarından olan Aşırı Öğrenme Makinesi (AÖM)’de giriş ağırlığı ve gizli eşik değeri parametrelerinin rastgele …

There is a wide range of genetic diversity of dry bean which is the most produced one among the edible legume crops in the world. Seed …

Feedforward neural networks are a very popular and frequently used network architecture in many predictive applications. In these …

Electromyography (EMG) signals that obtained by electrodes connected to the forearm are the monitoring of the muscles by the electrical …

One of the most important calculation operation in many systems is the calculation of the square root of numbers. In digital systems …

Irregularities in the electrical activities of the brain can cause epileptic attacks. In the diagnosis and classification of epileptic …

The permanent magnet synchronous motors (PMSM) are the sinusoidal motors with the supply current and the induced voltage waveform. In …

Computer technology and software are widely used in every multi-discipline field. Geomatics engineering can be seen as a pioneer of …

It is important to have a high awareness of occupational health and safety in the reduction and prevention of occupational accidents. …

Background and Objective Urinary tract infection (UTI) is a common disease affecting the vast majority of people. UTI involves a simple …

Melanoma is a deadly skin cancer that breaks out in the skin’s pigment cells on the skin surface. Melanoma causes 75% of the skin …

The “cold chain” enables to remain safely the vaccines and medicines at the recommended temperature ranges during their transportation …

In this study, a supervised retina blood vessel segmentation process was performed on the green channel of the RGB image using …

Electromagnetic filters (EMF) are used to clean magnetic particles in industrial liquids which play important roles to sustain the …

The disease of Rheumatoid Arthritis (RA) is a systemic, chronic, and autoimmune inflammatory rheumatic disease which is seen in …

Wheat is the main food source of the humankind. After its harvest, it goes through many procedures from its separation from chaff to …

Compressive strength of concrete is one of the most important elements for an existing building and a new structure to be built. While …

One of the main food supplies for the survival of humankind is wheat so, a favourable quality processing of wheat is essential. After …

In this study, the effect of methanol mixtures in different proportions to emission and performance of the motor has been estimated …

In this study; a station has been set up containing three cameras, a wifi antenna, a solar power panel and a wind tribune in the wild …

There are a lot of factors like particle size, concentration and flow rate which affect the performance of the Electromagnetic Filter …

In this study, a model for the relation between magnetic filter (MF) performance and time was developed by artificial neural network …

One of the most effective methods to clean magnetic particles in industrial liquids is magnetic filtration. Magnetic filters (MF) are …

FPGA’ler işlemleri yüksek hızda ve paralel olarak gerçekleştirebilen, veri depolama kapasiteli, taşınabilir, pratik, az miktarda …

Magnetic filters are used effectively in many industrial areas to clean up technological liquids and gases from micron and submicron …

In this study, an artificial neural network has been devised that yields a prognostic result indicating whether patients have cancer or …

In this study, fuzzy expert system (FES) and artificial neural network (ANN) models are designed for the estimation of cutting forces …

In this study, chronic intestine illness symptoms such as sedimentation and prostate specific antigen are used for the design of fuzzy …