Özyeğin University

Breaking Local-Minimum Traps in Spiking Neural Network-Based Solvers for Constraint Satisfaction Problems via Parallel Tempering

Abstract Spiking neural networks (SNNs) with stochastic neurons provide a biologically grounded substrate for solving constraint satisfaction problems (CSPs): connectivity encodes constraints, while spike dynamics support probabilistic search. However, fixed-temperature dynamics...

A Compact Unified Model for Moderate-to-Severe Carotid Artery Stenosis Using Image Segmentation: A Multicenter Study

BACKGROUND: This study aimed to evaluate the diagnostic performance of a new artificial intelligence model, the compact unified model (CU-Model), for moderate-to-severe carotid artery stenosis using digital subtraction angiography (DSA) images compared to clinical reference stand...

Quantum protocols for time synchronisation and distribution: a critical assessment

Precise time synchronisation underpins critical infrastructure from telecommunications and financial markets to power grids and scientific metrology. Several families of quantum protocols have been proposed and demonstrated for clock synchronisation and time distribution, exploit...

Increased screen exposure predicts faster orienting and prolonged distraction in infancy

Screen exposure is linked with attention difficulties in childhood. Yet, little is known about how different forms of screen exposure relate to specific attentional processes, namely, endogenous and exogenous attention, during infancy, a period characterized by rapid attentional...

From shopping to indulgence: longitudinal analysis of retail diversity of Bağdat Avenue in Istanbul, Türkiye

Purpose This study investigates adaptive resilience of high streets in emerging markets under a “triple shock”: the COVID-19 pandemic, hyperinflationary economic volatility and intense urban transformation. The study demonstrates how functional diversity acts as an enabler for hi...

Economic Convergence Beyond Formal Integration: The Case of Recent BRICS Expansion

As alternative poles, the large emerging economies formed BRICS which has created debates on global economic governance, development, and alternative forms of international cooperation. As there are no formal rules of entry to the blocs, the member economies exhibit a less homoge...

Billable Hours and Work Flexibility: Navigating the Paradox in Law Firms

ABSTRACT Flexible work promises control over where and when work is performed, yet organisations still need credible performance evidence at a distance. Drawing on 30 interviews with women lawyers in UK‐based international firms, we examine how billable hours mediate these demand...

Below the Treaty: Investment Treaties, CBAM, and Climate-Aligned Investment Law in Türkiye

Türkiye is constructing a domestic climate architecture while remaining bound by investment treaty commitments concluded decades before climate policy assumed its present form. This working paper asks which legal techniques for reconciling the two are in fact open to an economy s...

Below the Treaty: Investment Treaties, CBAM, and Climate-Aligned Investment Law in Türkiye

Türkiye is constructing a domestic climate architecture while remaining bound by investment treaty commitments concluded decades before climate policy assumed its present form. This working paper asks which legal techniques for reconciling the two are in fact open to an economy s...

Evaluating disaster-resilient smart cities: a fuzzy AHP-DEMATEL-TOPSIS analysis of systemic barriers and phase-based technology priorities

Purpose Smart city technologies are increasingly promoted to enhance disaster resilience in urban areas exposed to natural hazards; however, their implementation remains constrained by multiple interrelated technological, governance, social and economic barriers. This study aims...

Numerical Investigation of Industrial Glass Melting Furnace: Effect of Foam Layer on Glass Bath Temperature and Flow Kinematics

Abstract In glass furnaces, gas bubbles within the glass melt play a critical role due to their detrimental impact on heat transfer, particularly on radiation. Therefore, understanding bubble migration and addressing bubble accumulation at the melt surface is essential. To this e...

Domain adaptation and self-training for improved cross-batch classification of spectroscopic data: a comparative analysis of feature normalization techniques

Surface-Enhanced Raman Spectroscopy (SERS) enables sensitive, label-free chemical identification, but machine-learning models trained on a single acquisition session frequently underperform when applied to spectra from a different batch, owing to substrate, instrument, and sessio...

Third wave of hotel website evaluation: an automated machine learning-based approach

Purpose This interdisciplinary research combining the fields of tourism and computer science aims to develop a framework (HotelWebComp) as a Web application for the automated analysis of hotel websites using machine learning (ML) techniques. Design/methodology/approach The study...

Does Workforce Gender Diversity Influence Banks’ High-Level Decisions? Evidence on Credit Growth and Risk-Taking

We investigate the impact of workforce gender diversity on the relationship between women’s representation in the board of directors and other decision-making bodies, and bank performance in credit growth. Using panel data on Turkish banks from 2006-2020, we find that while femal...