Artificial intelligence is currently poised to expand into complex problem spaces, such as medicine, law enforcement, and other high stakes domains. For applications such as decision support to be trustworthy and helpful, the system must account for the individual context and nu…
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In dieser Arbeit entwickeln wir schnellere exakte Algorithmen (schneller bezüglich der Worst-Case-Laufzeit) für Spezialfälle von Graphproblemen. Diese Algorithmen beruhen größtenteils auf dynamischem Programmieren und auf 2- SAT-Programmierung . Dynamisches Programmieren beschre…
The application of reinforcement learning (RL) to algorithmic trading is, in many ways, a perfect match. Trading is fundamentally a problem of making decisions under uncertainty, and reinforcement learning is a family of methods for solving such problems. Indeed, many researcher…
It is difficult to overstate the magnitude of the climate crisis that we are facing. Reducing greenhouse gas emissions is imperative, and, while significant strides are being made to convert our electric grid to utilize renewable resources instead of fossil fuels, reducing prima…
Determining risk to human populations due to natural disasters has been a topic of interest in the STEM fields for centuries. Earthquakes and the tsunamis they cause are of particular interest due to their repetition cycles. These cycles can last hundreds of years but we have on…
Performance improvements have largely followed Moore's Law due to the help from technology scaling. In order to continue improving performance, power-efficiency must be reduced. Better technology has improved power-efficiency, but this has a limit. Multi-core architectures have …
As the size of data available for processing increases, new models of computation are needed. This motivates the study of data streams, which are sequences of information for which each element can be read only after the previous one. In this work we study two particular types o…
A new design technique, based on genetic algorithms, for null steering in Partially adaptive antenna arrays by controlling the minimum number of element positions is presented. This technique shows the possibility of placing nulls in the radiation pattern to suppress interferenc…
Quality of Service (QoS) routing considered as one of the major components of the QoS framework in communication networks. The concept of QoS routing has emerged from the fact that routers direct traffic from source to destination, depending on data types, network constraints an…
Localised QoS routing is a relatively new, alternative and viable approach to solve the problems of traditional QoS routing algorithms which use global state information resulting in the imposition of a large communication overhead and route flapping. They make use of a localise…
The tremendous spreading of multimedia via Internet motivates the watermarking as a new promising technology for copyright protection. This work is concerned with the design and development of novel algorithms in the spatial and transform domains for robust and secure watermarki…
Random NP-Complete problems have come under study as an important tool used in the analysis of optimization algorithms and help in our understanding of how to properly address issues of computational intractability. In this thesis, the Number Partition Problem and the Hamiltonia…
Most interesting optimization problems on graphs are NP-hard, implying that (unless P=NP) there is no polynomial time algorithm that solves all the instances of an NP-hard problem exactly. However, classical complexity measures the running time as a function of only the overall …
Dynamically Coupled Socioeconomic system dynamics models integrated with physically-based Environmental Models (DCSEM) can aid in resolving complex environmental problems involving dynamic interactions between socioeconomic and biophysical systems. DCSEMs are promising tools for…
Bu tez çalışmasında, büyük bir Türk bankası için üstlenilen gerçek yaşam projesinden ilham almıştır. Banka ATM'lerinin ne zaman ziyaret edileceğini ve ne kadar para yükleneceğini etkin bir şekilde belirlemek, gerçek hayatta tüm bankalar için sorun haline gelmiştir. Bu nedenle, s…
Feature selection aims to gain a minimal feature subset in a problem domain while conserving the accuracy of the original data. Feature selection is a process for making more efficient data analysis by selecting more relevant features for the related problem solving. Feature sel…
The adoption of cloud computing technology is increasing day by day due to its enormous services and low cost. Customers transfer their businesses to cloud because of the beneficial cloud features such as scalability, high performance, on-demand, and pay-per-use service model. H…
Stokastik engellerin olduğu yol planlaması, çok populer bir araştırma alanı olarak bilinir. Zorlayıcı bir stokastik optimizasyon problemi olan Kanadalı Gezgin Probleminde (CTP), bloke edilmiş yollar içeren bir haritada engele bitişik bir köşeye ulaşıldığında önceden tanımlanmış …