Beneath the pavement, the beach: A semantic exploration of time, space, and their volume of permutations through Lebanon's littoral

This thesis is about the convergence of two boundlessly enigmatic dimensions; turbulent coastal morphodynamics of a vanishing coastline in the presence of acute geo-political conflict. The Lebanese coastline undergoes a permutation of intertwined anthropogenic and natural forces, ensuing its exponential recession, deterioration, and...

A new spatial resampling method for synthetic precipitation generation in the Rhine basin: MSc thesis graduation report

Weather generators (WGs) based on temporal resampling algorithms are not able to generate new extremes with the same or a higher temporal resolution as the historical data series of the thus far <br/>observed precipitation. This is problematic for catchments with a time of concentration shorter than the resolution of the used data and conflicts...

Permutation-Invariant Tabular Data Synthesis

Tabular data synthesis is a promising approach to circumvent strict regulations on data privacy. Although the state-of-the-art tabular data synthesizers, e.g., table-GAN, CTGAN, TVAE, and CTAB-GAN, are effective at generating synthetic tabular data, they are sensitive to column permutations of input data. In this work, we conduct an impact and...

Detecting clonality in contralateral breast cancers

When a second tumor arises in the contralateral breast in a patient with a previous or synchronous breast cancer, it is of clinical importance to determine if this tumor is a new unrelated tumor or a metastasis, i.e. clone, of the primary tumor. A new, unrelated tumor may be treated similarly as the first one since treatment was successful,...

GA-Based Permutation Logic for Grid Integration of Offshore Multi-Source Renewable Parks

This paper proposes and analyzes a genetic algorithm based permutation control logic applied to the aggregator of an offshore multi-source park. The energy losses at the common coupling point are accounted for in the feedback. This paper focuses on offshore distributed energy resources, such as floating photovoltaic (PV), wind, and wave power....

Permutation-Invariant Tabular Data Synthesis

Tabular data synthesis is an emerging approach to circumvent strict regulations on data privacy while discovering knowledge through big data. Although state-of-the-art AI-based tabular data synthesizers, e.g., table-GAN, CTGAN, TVAE, and CTAB-GAN, are effective at generating synthetic tabular data, their training is sensitive to column...

On the impact of linkage learning, gene-pool optimal mixing, and non-redundant encoding on permutation optimization

Gene-pool Optimal Mixing Evolutionary Algorithms (GOMEAs) have been shown to achieve state-of-the-art results on various types of optimization problems with various types of problem variables. Recently, a GOMEA for permutation spaces was introduced by leveraging the random keys encoding, obtaining promising first results on permutation flow...

On Euler and Fibonacci Numbers: Why Pi is Bounded by Twice Phi

In this report, we will look at the connection between the Fibonacci and Euler numbers. By using a combinatorial argument including the Fibonacci and Euler numbers, we will prove our main theorem:  F_n·E_n ≥ n! From the main theorem and the asymptotics of these numbers, we will conclude that π ≤ 2ϕ. We...

Graph-Adaptive Activation Functions for Graph Neural Networks

Network data are essential in applications such as recommender systems, social networks, and sensor networks. A unique characteristic that these data encompass is the coupling between the data values and the underlying network structure on which these data are defined. Graph Neural Networks (GNNs) have been designed as tools to extend the...

Search space reduction of asynchrony immune cellular automata

We continue the study of asynchrony immunity in cellular automata (CA), which can be considered as a generalization of correlation immunity in the case of vectorial Boolean functions. The property could have applications as a countermeasure for side-channel attacks in CA-based cryptographic primitives, such as S-boxes and pseudorandom number...

Encoding OAS: Solving order acceptance and scheduling with modified black box approaches

In many real world scheduling problems there exist hard deadlines after which tasks can no longer be performed. Conversely, not all tasks are necessarily required to be scheduled. Furthermore, the problem investigated in this thesis includes sequence dependent setup times, an aspect reminiscent of the Travelling Salesperson problem. These...

Cycle experiments on the cryptographic permutation Xoodoo

Cryptography is the science of concealing messages, and it provides data security and privacy. A cipher is designed to be as secure as possible, to not be easily broken with the current availability of computational power in a reasonable amount of time. Various attacks have been discovered over time, and recently, the invariant subspace attack...

Statistical Significance Testing in Information Retrieval: An Empirical Analysis of Type I, Type II and Type III Errors

Statistical significance testing is widely accepted as a means to assess how well a difference in effectiveness reflects an actual difference between systems, as opposed to random noise because of the selection of topics. According to recent surveys on SIGIR, CIKM, ECIR and TOIS papers, the t-test is the most popular choice among IR researchers....

A New Perspective on Score Standardization

In test collection based evaluation of IR systems, score standardization has been proposed to compare systems across collections and minimize the effect of outlier runs on specific topics. The underlying idea is to account for the difficulty of topics, so that systems are scored relative to it. Webber et al. first proposed standardization...

The cocktail party problem: GSVD-beamformers for speech in reverberant environments

Hearing aids as a form of audio preprocessing is increasingly common in everyday life. The goal of this thesis is to implement a blind approach to the cocktail party problem and challenge some of the regular assumptions made in literature. We approach the problemas wideband FD-BSS. From this field of research, the common assumption of contineous...

Research of planetary gear fault diagnosis based on permutation entropy of CEEMDAN and ANFIS

For planetary gear has the characteristics of small volume, light weight and large transmission ratio, it is widely used in high speed and high power mechanical system. Poor working conditions result in frequent failures of planetary gear. A method is proposed for diagnosing faults in planetary gear based on permutation entropy of Complete...

Performance modeling and optimization of sparse matrix-vector multiplication on NVIDIA CUDA platform

In this article, we discuss the performance modeling and optimization of Sparse Matrix-Vector Multiplication (SpMV) on NVIDIA GPUs using CUDA. SpMV has a very low computation-data ratio and its performance is mainly bound by the memory bandwidth. We propose optimization of SpMV based on ELLPACK from two aspects: (1) enhanced performance for the...