Utku Köse

Federated multimodal artificial intelligence framework for privacy-preserving smart infrastructure towards smart city

Munikumar Pindi, Utku Köse

Smart infrastructure systems in urban areas, such as transportation systems, energy networks, and building control systems, integrate vast amounts of multimodal data that are essential for operational intelligence and for addressing the challenges of developing smart and sustainable cities. But centralized learning …

Explainable AI for Adaptive Security in Regulated Environments: A Unified Framework Integrating Federated Risk-Based Authentication and Privacy-Preserving On-Premises LLM Deployment

Ashok Kumar, Utku Köse

Healthcare and public-sector organizations face a compounding security imperative: protecting sensitive personal data against adaptive cyber threats while preserving the operational fluency that practitioners require in time-critical workflows. This paper proposes a unified Explainable AI (XAI) security framework that synthesizes federated learning-enhanced …

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An Extended Personalised Chemotherapy Response Model Incorporating Inflammation and Individual Variability in Childhood Acute Lymphoblastic Leukemia - Presentation

Utku Köse, Gözde Özkan Tükel, İlhan Uysal, Erdem Sürücü et autres

This study aims to develop a personalised pharmacokinetic / pharmacodynamic model for 6-mercaptopurine (6-MP) used in the treatment of childhood acute lymphoblastic leukemia (ALL). The developed model considers both neutrophil count and white blood cells in the context of lifestyle-related inflammatory responses …

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An Extended Personalised Chemotherapy Response Model Incorporating Inflammation and Individual Variability in Childhood Acute Lymphoblastic Leukemia - Presentation

Utku Köse, Gözde Özkan Tükel, İlhan Uysal, Erdem Sürücü et autres

This study aims to develop a personalised pharmacokinetic / pharmacodynamic model for 6-mercaptopurine (6-MP) used in the treatment of childhood acute lymphoblastic leukemia (ALL). The developed model considers both neutrophil count and white blood cells in the context of lifestyle-related inflammatory responses …

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Integrated Anomaly Detection in Automated Cloud Data Engineering Frameworks

Utku Köse

This paper gives an example of an automated data engineering solution that focuses on large-scale cloud analytics and attempts to solve issues such as high data velocity, variable workloads, and numerous sources of heterogeneous data. The proposed model aims to achieve maximum …

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Integrated Anomaly Detection in Automated Cloud Data Engineering Frameworks

Utku Köse

This paper gives an example of an automated data engineering solution that focuses on large-scale cloud analytics and attempts to solve issues such as high data velocity, variable workloads, and numerous sources of heterogeneous data. The proposed model aims to achieve maximum …

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AI-Enhanced Cervical Cancer Screening: Integrating automated diagnostics and self-sampling platforms

Mehfooza M, Haroon Basha I, Divya Meena S, Utku Köse

This is a systematic review that summarizes the existing body of literature about the incorporation of artificial intelligence (AI) and automated diagnostic frameworks and scalable self-sampling systems to detect cervical cancer screening. The analysis particularly reviews the AI use in risk stratification …

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Yapay Zekâ Tabanlı Sentetik Hasta Modellemesi ile Karar Destek Sistemlerinin Geliştirilmesi

Utku Köse, Emine Betül Sürücü

Sağlık alanında karar destek sistemlerinin gelişmesi için yapay zeka çözümleri kullanılmaktadır. Geliştirilen yaklaşımlar, verilerin temel özelliklerini yansıtan yapay hasta grupları oluşturulmasına olanak sağlamaktadır. Sentetik hasta modelleri gerçek hasta verilerinin istatiksel ve klinik özelliklerini taklit ederek yapay veri kümlerinin üretilmesinin mümkün kılmaktadır. Elde …

Bilgisayar Bilimleri ve Mühendisliği Alanında Güncel Araştırmalar

Mert Yağcıoğlu, İrem Şenyer Yapıcı, Nazan Kemaloğlu Alagöz, Rukiye Uzun Arslan et autres

Bilgisayar bilimleri ve mühendisliği, günümüz dünyasında bilimsel araştırmaların ve teknolojik gelişmelerin en hızlı ilerlediği alanlardan biri haline gelmiştir. Yapay zekâ, veri bilimi, görüntü işleme, bilgisayar ağları, siber güvenlik ve yazılım mühendisliği gibi birçok alt disiplin; hem akademik araştırmaların hem de endüstriyel uygulamaların …

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List of contributors

Jyoti Agarwal, Kalpana Agnihotri, B. Amutha, A. Angeline et autres

Early diagnosis of heart disease using machine learning and explainable artificial intelligence: a robust framework for improved healthcare outcomes

Deepak Painuli, Divya Mishra, Utku Köse, Pragya Pragya et autres

A Robust Image Cryptosystem Incorporating Bit-Level Swapping, Dynamic Multi-Map Substitution, And Iterative Block Diffusion

Heba A M ABUGHALI, Utku Köse

The rapid expansion of digital communication has necessitated the development of advanced cryptographic frameworks capable of securing visual data against sophisticated cryptanalytic threats. This paper introduces a robust, tripartite image cryptosystem designed to address the inherent redundancies and high spatial correlations found …

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