Yazar "Anka, Ferzat" için listeleme
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Advances in Artificial Rabbits Optimization: A Comprehensive Review
Anka, Ferzat; Ağaoğlu, Nazım; Nematzadeh, Sajjad; Torkamanian‑afshar, Masha (Springer, 2024)This study provides an in-depth review and analysis of the Artificial Rabbit Optimization (ARO) algorithm inspired by the survival strategies of rabbits. The ARO tries to find the global solution in the search space ... -
Advances in Mountain Gazelle Optimizer: A Comprehensive Study on its Classification and Applications
Anka, Ferzat; Gharehchopogh, Farhad Soleimanian; Tejani, Ghanshyam G.; Mousavirad, Seyed Jalaleddin (Springer, 2025)The Mountain Gazelle Optimizer (MGO) is a newly emerging nature-inspired metaheuristic algorithm based on mountain gazelles' regionally and adaptively directed behavior. It is intended to solve complex optimization problems ... -
Advances in Sand Cat Swarm Optimization: A Comprehensive Study
Anka, Ferzat; Aghayev, Nazım (Springer, 2025)This study provides an in-depth review and analysis of the nature-inspired Sand Cat Swarm Optimization (SCSO) algorithm. The SCSO algorithm effectively focuses on exploring solution areas inspired by sand cat hearing and ... -
Assessing the Impacts of Blockchain Technology on Supply Chain Efficiency: A Data‑Driven Integrated Decision‑Making Framework
Babaei, Ardavan; Tirkolaee, Erfan Babaee; Simic, Vladimir; Golpîra, Hêriş; Anka, Ferzat (Springer, 2025)The digitalization of supply chains enhances efficiency and aligns with the expectations of customers and suppliers. In data-intensive industries, such as Oil and Gas (O&G), blockchain technology, a key tool for supply ... -
A Bioinspired Method for Optimal Task Scheduling in Fog-Cloud Environment
Anka, Ferzat; Tejani, Ghanshyam G.; Sharma, Sunil Kumar; Baljon, Mohammed (Tech Science Press, 2025)Due to the intense data flow in expanding Internet ofThings (IoT) applications, a heavy processing cost and workload on the fog-cloud side become inevitable. One of the most critical challenges is optimal task scheduling. Since ... -
Efficiency‑Sustainability Models to Assess Blockchain Adoption Strategies with Uncertainty in the Oil and Gas Sector
Babaei, Ardavan; Tirkolaee, Erfan Babaee; Anka, Ferzat (Springer, 2024)The Oil and Gas (O&G) supply chain, vital for energy delivery, faces challenges such as excessive paperwork, limited transparency, and sustainability issues due to conventional governance methods. This study develops a ... -
Enhancing GPS Accuracy with Machine Learning: A Comparative Analysis of Algorithms
Zontul, Metin; Ersan, Ziya Gökalp; Yelmen, İlkay; Çevik, Taner; Anka, Ferzat; Gesoğlu, Kevser (IIETA, 2024)In the realm of wireless communications, the Global Positioning System (GPS), integral to Global Navigation Satellite Systems (GNSS), finds extensive applications ranging from vehicle navigation to military operations, ... -
Machine Learning Approaches for Predicting Diesel engine Emissions Using Waste tire Pyrolysis Oil – Hydrotreated Vegetable Oil Blends
Mickevicius, Tomas; Matijosius, Jonas; Varuvel, Edwin Geo; Js, Femilda Josephin; M, Jerome Stanley; Zvirblis, Tadas; Anka, Ferzat; Kilikevicius, Arturas (Elsevier, 2025)This experimental study explores the use of blended Tire Pyrolysis Oil (TPO) with Hydrotreated Vegetable Oil (HVO) as potential substitutes for diesel fuel in compression ignition engines. The assessment of the investigation on ... -
Metaheuristics Role in Image Processing and Computer Vision Applications: A Comprehensive Review
Şahin, M. Faruk; Anka, Ferzat (Springer, 2025)Meta-Heuristic (MH) algorithms have gained prominence in computer vision and image processing due to their efficacy in solving complicated, high-dimensional optimization challenges. This review study thoroughly evaluates ... -
A Multi-Objective Deep Reinforcement Learning Algorithm for Spatio-temporal Latency Optimization in Mobile LoT-enabled Edge Computing Networks
Khoshvaght, Parisa; Haider, Amir; Rahmani, Amir Masoud; Gharehchopogh, Farhad Soleimanian; Anka, Ferzat; Lansky, Jan; Hosseinzadeh, Mehdi (Elsevier, 2025)The rapid increase in Mobile Internet of Things (IoT) devices requires novel computational frameworks. These frameworks must meet strict latency and energy efficiency requirements in Edge and Mobile Edge Computing (MEC) ... -
A multi-Strategy Chimp Optimization Algorithm for Solving Global and Constraint Engineering Problems
Anka, Ferzat (Springer, 2025)The chimp optimization algorithm (ChOA) is a recently introduced metaheuristic algorithm inspired by nature. This algorithm identified four types of chimpanzee groups: attacker, barrier, chaser, and driver, and proposed ... -
A Novel Hybrid Metaheuristic Method for Efficient Decentralized LoT Network Layouts
Anka, Ferzat (Elsevier, 2025)This paper introduces a Hybrid Genetic Particle Swarm Optimization (HGPSO) method focusing on optimal and efficient sensor deployment in Wireless Sensor Networks (WSNs) and Decentralized IoT (DIoT) networks. Effective ... -
A Novel Two-Stage Fuzzy Classification Method with Different Weight Permutations for Optimal Gis-Based Placement of Wellness and Sports Centers
Razavian, Behnam; Seyedbeiglou, Seyed Masoud Hamed; Tirkolaee, Erfan Babaee; Anka, Ferzat (Elsevier, 2025)The optimal placement of wellness and sports centers is critical to maximizing their accessibility, effectiveness, and impact on public health. Strategic location planning ensures that these facilities are conveniently ... -
Unified Deep Learning Method for Accurate Brain Tumor Segmentation Using Vertical Voxel Grouping andWavelet Features
Şahin, M. Faruk; Yeganli, S. Faegheh; Uludağ, Gönül; Yeganli, Faezeh; Anka, Ferzat (Springer, 2025)Brain tumor segmentation plays a vital role in medical imaging, enabling accurate diagnosis and guiding treatment decisions. Despite notable progress driven by deep neural networks (DNNs) and multi-parametricmagnetic ...
