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Diagnosing Autism Spectrum Disorder in High-Functioning Adults Using Deep Learning Models on the Web-Based Data
Shafique, Ali; Yesilada Yilmaz, Yeliz; Eraslan, Sukru; Computer Engineering (2026-1-21)
Autism Spectrum Disorder (ASD) is a neurodevelopmental condition characterized by social-communication difficulties, repetitive behaviors, and restricted interests. Detection supports timely intervention and improved outco...
Biomechanical Design of an Intervertebral Disc Arthroplasty Implant
Ngabonziza Hirwa, Jean Aimé Tony; Orang, Ali Atashbar; Esat, Volkan; Mechanical Engineering (2026-1-19)
The intervertebral disk acts as a joint situated between each of the 26 bones comprising the vertebral column. This column provides support for the trunk and safeguards the spinal cord. Furthermore, the intervertebral disk...
ECO-FRIENDLY STABILIZATION OF SOFT CLAYS: UTILIZING SEWAGE SLUDGE AS A SUSTAINABLE ALTERNATIVE TO CEMENT
Haroon, Muhammad Usama; Ekinci, Abdullah; Sustainable Environment and Energy Systems (2026-1-19)
Rapid growth in wastewater treatment has intensified the challenge of managing sewage sludge (SS), while the energy- and carbon-intensive nature of Portland cement underscores the need for lower-impact soil stabilisation m...
DEEP LEARNING FOR BRAIN TUMOR CLASSIFICATION: ROBUSTNESS AGAINST ADVERSARIAL ATTACKS AND DEFENSIVE STRATEGIES
Khalid, Hafsa; Direkoglu, Cem; Electrical and Electronics Engineering (2025-12-30)
In this study, a Customized Convolutional Neural Network (C-CNN) and two transfer learning–based models, ResNet-50 and EfficientNetV2S, are proposed for classifying three brain tumor types - meningioma, glioma, and pitui...
PERFORMANCE ENHANCEMENT OF FLOATING PHOTOVOLTAIC (FPV) SOLAR PANELS VIA SUBMERGED EXTENDED SURFACES
Azhari, Jalees Saqib Kamal; Masera, Kemal; Fahrioglu, Murat; Sustainable Environment and Energy Systems (2025-12-29)
Climate change and its effect have created a stress on the renewable energy sector to meet increasing demand across the world. Solar PV technology has become a dominant source of energy but losses efficiency in extreme tem...
SYNTHESIS AND CHARACTERIZATION OF ZEOLITES FROM INDUSTRIAL WASTE MATERIALS FOR ENVIRONMENTAL APPLICATIONS
Adam, Raghad Taha; Fahrioğlu, Murat; Özser, Mustafa Erkut; Sustainable Environment and Energy Systems (2025-10-15)
Zeolites are important industrial materials known for their microporous crystalline structures, which make them highly valuable across various fields, including environmental remediation, petrochemical processing, and wate...
COMPUTATIONAL INVESTIGATIONS ON THE MECHANICAL PROPERTIES OF MULTIWALLED FUNCTIONALIZED CARBON NANOTUBES AND COMPOSITES FOR AERODYNAMIC APPLICATION
Butt, Muhammad Sumeer; Orang, Dr Ali Atashbhar; Esat, Dr Volkan; Mechanical Engineering (2025-10-15)
Carbon nanotubes (CNTs) and their composites have attracted interest owing to its mechanical properties and potential applications in various industries. This research endeavor will employ advanced computational techniques...
Alkali Activation of Construction and Demolition Waste
Israf, Javed; Abdullah, Ekinci; Sustainable Environment and Energy Systems (2025-9-1)
As cities grow and skylines expand, the construction industry has emerged as one of the most resource-intensive and polluting sectors, generating a third of the world’s waste, consuming over 40% of raw materials, and emitt...
DIFFERENCES IN RESPONSES TO SUSTAINABILITY COMMUNICATION BETWEEN CONSUMERS FROM TURKEY VS. UAE
Altındaş, Ege; Yalkın Küçükyılmaz, Çağrı; Sustainable Environment and Energy Systems (2025-8-28)
This thesis examines the impact of sustainability-themed advertisements on consumer perceptions and behavioral responses in a cross-cultural context. The research is based on an experimental design conducted in samples fro...
Enhancing Early Forest Fire Detection: A Comprehensive Framework Integrating Wireless Sensor Networks (WSNs), Unmanned Aerial Vehicles (UAVs), and Artificial Intelligence (AI)
Abu Ali, Hamzeh; Ever, Enver; Computer Engineering (2025-8-26)
Forest fires pose significant environmental, ecological, economic, and social threats globally, necessitating rapid and accurate detection systems for timely intervention. Traditional detection methods, such as watchtowers...
WEB FRAMEWORKS AND ACCESSIBILITY: AN EMPIRICAL ANALYSIS AND AI-POWERED DEVELOPMENT SOLUTION
Babayev, Javid; Yeşilada, Yeliz; Eraslan, Sükrü; Computer Engineering (2025-8-22)
Web accessibility is crucial for inclusive design, yet the role of web frameworks in facilitating accessibility remains understudied. This research addresses this gap through a three-pronged approach. First, we analyzed ac...
Comparative life cycle assessment of PET and corn stover-based PLA with focus on anaerobic digestion end-of-life
Hasan, Sidrah; Maşera, Kemal; Zaifoğlu, Hasan; Sustainable Environment and Energy Systems (2025-8-19)
This thesis presents and compares a comprehensive cradle-to-gate life cycle assessment (LCA) of plastic bottles made of polyethylene terephthalate (PET) and polylactic acid (PLA). Furthermore, the end-of-life (EoL) option ...
RELIABILITY ORIENTED POWER ELECTRONICS DESIGN FOR DC MICROGRIDS
Nyamhanza, Wayne; Fahrioglu, Murat; Batunlu, Canras; Electrical and Electronics Engineering (2025-8-15)
In modern power electric systems, power electronic converters constitute the backbone of DC microgrids, serving as interfaces between photovoltaic panels, wind turbines, battery storage systems, and grid-connected systems...
A NOVEL DEPTHWISE CONVOLUTIONAL VARIATIONAL AUTOENCODER FOR ANOMALY DETECTION IN COMPLEX TRAFFIC SCENARIOS FROM UAV VIEWS
Saleem, Arslan; Direkoğlu, Cem; Electrical and Electronics Engineering (2025-8-13)
Traffic anomaly detection (AD) is essential for improving public safety, reducing risks, and enabling quick responses in intelligent surveillance systems. Aerial traffic monitoring, particularly using drones, has gained at...
PLANT LEAF DISEASE CLASSIFICATION USING DEEP TRANSFER LEARNING
Ishaq, Muhammad Hamza; Direkoglu, Cem; Electrical and Electronics Engineering (2025-8-13)
Agriculture is a fundamental pillar of economic development and global food security. For agricultural sustainability, it is important to accurately and early diagnose if a plant is infected by any disease in order to prot...
TECHNO-ECONOMIC AND ENVIRONMENTAL ASSESSMENT OF A BIOMASS-ASSISTED EVACUATED-TUBE SOLAR-THERMAL ABSORPTION COOLING SYSTEM FOR MEDITERRANEAN STUDENT DORMITORIES
Awan, Mohsin A.; Maşera, Kemal; Orang, Ali Atashbar; Sustainable Environment and Energy Systems (2025-8)
Driven by the need to decarbonize Mediterranean space cooling, this study models a Solar thermal powered absorption-chiller plant for METU NCC’s EBI dormitory. Although solar-assisted absorption cooling has been investigat...
APPLYING MACHINE LEARNING TECHNIQUES TO ENERGY OPTIMIZATION USING LSTM, XGBOOST, AND RANDOM FOREST MODELS FOR SOLAR POWER PREDICTION
Awan, Luqman; FAHRİOĞLU, PROF.MURAT; Electrical and Electronics Engineering (2025-7-23)
The growing demand for solar energy systems as a sustainable power source entails accurate forecasting and an improved model for the dependability and efficiency. This research uses the machine learning models like Random ...
STATE OF HEALTH AND REMAINING USEFUL LIFE PREDICTION OF LITHIUM-ION BATTERIES IN ELECTRIC VEHICLES USING MACHINE LEARNING
Ghani, Ejaz; Batunlu, Canras; Electrical and Electronics Engineering (2024-9-23)
In today’s rapidly evolving industrial landscape, the quest for efficiency, reliability, and cost-effectiveness has spurred a paradigm shift towards proactive maintenance strategies. At the forefront of this transformation...
UTILIZATION OFGRAPHDATASTRUCTUREANDGRAPHNEURAL NETWORKSFORLIGHTWEIGHTANDEFFICIENTHUMANACTIVITY RECOGNITIONINE-HEALTHAPPLICATIONS
Mursal, Yağmur; EVER, ENVER; Computer Engineering (2024-9-6)
Human activity recognition (HAR) plays a crucial role in applications like healthcare, and smart environments, aiming to improve health outcomes, and optimize daily living. Traditional HAR systems often rely on complex mod...
Visual complexity of web pages: computation and prediction
Gündeğer, Atakan; Eraslan, Şükrü; Yeşilada, Yeliz; Computer Engineering (2024-9-5)
Nowadays, as the use of the Web is widespread, more and more design principles and techniques are introduced for web pages. However, there is no industry standard framework for calculating the perceived visual complexity...
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