Gelişen araç teknolojileri ile birlikte sürücüye yardımcı olacak sistemler ön plana çıkmaktadır. Bu sistemler sürüş emniyetini ve konforunu artırmak için gün geçtikçe daha fazla araca entegre edilmektedir. Sürücüye yardımcı olan bu sistemler bir yandan da otonom araçlar için öne…
"216" Result
Sort By:
Fingerprints are unique to each person and they have been widely used and accepted for identification purposes by the society. Fingerprints can be captured by using ink and paper to get a print and then digitizing it or more recently by using specialized sensors. But in both cas…
Fingerprints are one of the most widely used personal identification traits. They play a crucial role in forensics because they are considered to be unique to each person. For many years, the identification of individuals had been carried out by human operators. However, with te…
Alibaba Cloud’s preemptible instances are marketed as a type of on-demand instances designed to minimize Elastic Compute Service (ECS) instance costs, similarly to the spot instances offered by Amazon Web Services (AWS). Clients purchase preemptible instances by submitting a bid…
Robust Speaker Recognition (SR) has been a focus of attention for researchers since long. The advancement in speech-aided technologies especially biometrics highlights the necessity of foolproof SR systems. However, the performance of a SR system critically depends on the qualit…
Due to the inception of the big data applications, it is becoming increasingly important to manage and analyze large volumes of data. However, it is not always possible to efficiently analyze very big chunks of detailed data. Thus, data aggregation techniques emerged as an effic…
Discovering important patterns in data can help cities to plan, monitor, and assign resources more efficiently, converting them in smart cities with more organized communities. Machine learning models can take advantage of this large amount of data to improve and scale these cit…
Concerning the fact that the number of wind turbines is increasing worldwide, it seems necessary to implement monitoring systems. To respond to this demand, this PhD thesis studies different fault diagnosis techniques in order to improve the reliability and reduce maintenance co…
The destructive potential of wildfires has been exacerbated by climate change, causing their frequencies and intensities to continuously increase globally. In this context, increasing wildfire activity across the globe has become an urgent issue with enormous ecological and soci…
This dissertation focuses on two different but related natural language processing problems, namely, question answering and question generation. Automated question answering (QA) is the process of finding answers to natural language questions. This problem has been studied since…
Wildfires are a growing problem in the US and worldwide — in the last decade we witnessed some of the most destructive, costliest, and deadliest incidents in recorded history. Possible solutions include early fire detection and preventative scans of wildlands — tasks that can be…
Auroras are a dynamically evolving phenomenon. Different auroral forms are correlated with various physical processes in the magnetosphere and ionosphere system. Millions of auroral images are captured every year by the modern ground-based All-Sky Imager(ASI). In dealing with da…
The widespread adoption of electronic health records (EHR) has generated large amounts of data which created new opportunities for advancing healthcare. Deep learning, a subfield of machine learning, has seen a dramatic resurgence in recent years, and holds high potential to sup…
The soybean cyst nematode (SCN) is responsible for billions of dollars in yield losses for the soybean industry. This plant parasite infects the roots of soybean plants and feeds off the plant’s nutrients to complete its life cycle. Effective long-term control of SCN populations…
Neuromorphic computing is a computing field that takes inspiration from the biological and physical characteristics of the neocortex system to motivate a new paradigm of highly parallel and distributed computing to take on the demands of the ever-increasing scale and computation…
Proteins play a crucial role in living organisms as they perform many vital tasks in every living cell. Knowledge of protein folding has a deep impact on understanding the heterogeneity and molecular functions of proteins. Such information leads to crucial advances in drug desig…
Importance: Clinical signs and symptoms for COVID-19 remain the mainstay of early diagnosis and initial management in the emergency department (ED) and inpatient setting at many hospitals due to delays in obtaining results of PCR testing and limitations in access to rapid antige…
Endovascular intervention has largely replaced the use of open vascular surgery. These treatments have multiple decisions that are made largely through clinician experience and qualitative inference of two- (and increasingly three-) dimensional image data. This has yielded excel…