Scopus İndeksli Yayınlar Koleksiyonu

Permanent URI for this collectionhttps://hdl.handle.net/20.500.12416/8651

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A Meta-Heuristic Stochastic Algorithm for the Numerical Treatment of Cancer Model through the Chemotherapy and Stem Cells
(Elsevier, 2026) Baleanu, Dumitru; Defterli, Ozlem; Sabir, Zulqurnain; Abdelkawy, M. A.
Objective: The aim of current research is to present the numerical performances of the cancer treatment model based on chemotherapy and stem cells using one of the heuristic computing neural network procedures. The cancer treatment model through chemotherapy and stem cells is categorized into stem cells, affected cells, tumor cells, and chemotherapy-based concentration drug. Method: A process of artificial neural network is applied using the hybrid optimization of global and local search schemes, which are taken as genetic algorithm (GA) and an active set (AS). An error-based fitness function is designed by using the differential model and then optimized by the hybridization of both global and local search schemes. GA is applied to exploit the global result and give a primary guess to the AS that further improves the results locally. AS is rooted in the GA, where GA produces new populaces and AS optimizes the fitness function for every individual. The hybridization of these two schemes is used iteratively for purifying the results. Ten numbers of neurons and log-sigmoid activation functions has been used to solve the cancer treatment model based on chemotherapy and stem cells. Results: For the correctness of the stochastic solver, the obtained numerical results have been compared with any traditional scheme. Moreover, the reliability and capability of the scheme are performed through the absolute error around 10-05 to 10-07 along with different statistical approaches for solving the mathematical model. Novelty: The proposed artificial neural network structure along with the hybrid optimization of global and local search schemes has never been implemented before to solve the cancer treatment model based on chemotherapy and stem cells.
A New Classification System for Weathered Weak Rock Masses
(Techno-Press, 2026) Mao, Yimin; Nanehkaran, Yaser A.; Azarafza, Mohammad; Miao, Decheng
This research presents a new empirical rock mass classification system for sedimentary weak rocks, such as marlstones, taking into account the extent of weathering within the rock mass. For this purpose, 45 marlstone samples were systematically collected from the South Pars region in southwest Iran. The study involved measuring the geoengineering characteristics of the marls and assessing the degree of weathering they had undergone. The collected data was used to create variation weathering charts that show changes in rock mass durability and geoengineering properties with different degrees of weathering. These new charts are valuable tools for evaluating the condition of marlstone rock masses, providing a clearer understanding of how weathering affects their stability and durability. The empirical classification system introduced in this study significantly advances the assessment and management of marlstone formations in geotechnical engineering and related fields.
A Switching Inverse Dynamics Controller for Parallel Manipulators around Drive Singular Configurations
(Tubitak Scientific & Technological Research Council Turkey, 2016) Ider, Sitki Kemal; Ozdemir, Mustafa
Despite many advantages, parallel manipulators are known to possess drive singularities where the control of one or more degrees of freedom is lost. Around these singular configurations, the required actuator forces grow unbounded. Previous efforts in the literature put forward singularity-consistent trajectory planning and singularity robust modification of the dynamic equations as a solution to this problem. However, this previous method is applicable only for the open-loop operation of the manipulator, whereas initial configuration errors, external disturbances, and modeling errors should necessarily be taken into account in a closed-loop sense in real-life applications. With this aim, a switching inverse dynamics controller is proposed in this study for the trajectory tracking control of parallel manipulators as they pass through drive singular configurations. Simulations of the application of the developed controller result in good tracking performance, even in the presence of modeling errors, while the actuator efforts remain bounded and continuous in the neighborhood of the singularity.
Adaptive Decision Fusion Based Framework for Short-Term Wind Speed and Turbulence Intensity Forecasting: Case Study for North West of Turkey
(Tubitak Scientific & Technological Research Council Turkey, 2017) Dinckal, Cigdem; Toreyin, Bechet Ugur; Kucukali, Serhat; Din Çkal, Çigdem
In this paper, an online learning framework called adaptive decision fusion (ADF) is employed for short-term wind speed and turbulence intensity forecasting by use of wind speed data for each season for the city of Izmit, located in the northwest of Turkey. Fixed-weight (FW) linear combination is derived and used for comparison with ADF. Wind speeds and turbulence intensities are predicted from the existing wind speed data and computed turbulence intensities, respectively, using the ADF and FW methods. Simulations are carried out for each season and the results are tested on mean absolute percentage error criterion. It is shown that the proposed model captured the system dynamic behavior and made accurate predictions based on the seasonal wind speed characteristics of the site. The procedure described here can be used to estimate the local velocity and turbulence intensity in a wind power plant during a storm.
AGENT: An Elitism-Guided Evolutionary Framework for Enhanced Task Allocation Performance in Heterogeneous Cloud Systems
(Elsevier, 2026) Osama, Muhammad; Riaz, Muhammad Bilal; Shahid, Muhammad Farrukh; Qadri, Syed Shah Sultan Mohiuddin
Cloud Computing (CC) delivers on-demand services through Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS) models. This study specializes in the approach to IaaS task scheduling in the heterogeneous data centers, where resource allocation is a critical issue to ensure that makespan is minimized. The NP-complete nature of such a scheduling problem requires sophisticated meta-heuristic solutions as the use of cloud workloads increases exponentially. Although Genetic Algorithms (GA) have received extensive use, available adaptive variants usually vary parameters based on aggregate populations statistics without individual solution tracking and elitism is not commonly implemented with adaptive mechanisms in a size-conserving fashion. This paper presents the Adaptive Genetic Algorithm with Elitism and Nonlinear Tuning (AGENT) that combines three new innovations: (1) size-preserving elitism that guarantees a monotonic improvement without growing the population, (2) feedback-based nonlinear parameter adaptation which is controlled by explicit success/failure counters as indicators of evolutionary progress of a population, unlike fitness-proportional or population-statistics-based methods, and (3) a multi-task-per-VM allocation model that captures real cloud elasticity. Experimental validation of CloudSim Plus simulation with Amazon EC2 VM setups showed makespan improvements of 3.14%-28.89% than baseline algorithms (HAGA, AIGA, SGA, Max-Min, Min-Min) with synthetic workloads. Scalability was tested on workloads of various sizes and was found to perform well with near-optimal results. Reduced makespan is associated with shorter VM operating time, which implies that energy efficiency may be improved and therefore, it should be investigated in the future by taking direct measurements.
Citation - Scopus: 38
Aggregation Operators for Interval-Valued Pythagorean Fuzzy Soft Set with Their Application to Solve Multi-Attribute Group Decision Making Problem
(Tech Science Press, 2022) Siddique, Imran; Baleanu, Dumitru; Zulqarnain, Rana Muhammad; Iampan, Aiyared
An Algebraic Stability Test for Fractional Order Time Delay Systems
(Balikesir University, 2020) Özyetkin, Münevver Mine; Baleanu, Dumitru
Analysis of Laser Multimode Content on the Angle-of-Arrival Fluctuations in Free-Space Optics Access Systems
(2005) Eyyuboǧlu, Halil Tanyer; Baykal, Yahya
Analysis of the α-β Transition in Bismuth Titanate as a Function of Pressure and Temperature
(Taylor & Francis Ltd, 2026) Kiraci, A.
The temperature and pressure dependence of the damping constant (half-width) for the soft Raman mode in bismuth titanate, Bi2Ti4O11, was calculated using the pseudospin-phonon coupled (PS) and the energy fluctuation (EF) models in the vicinity of the transition at T-C = 513 K and P-C = 3.7 GPa. The order parameter that is associated with the observed soft Raman mode frequency and also the pressure-temperature phase diagram was used for this calculation of the damping constant. Our calculated values of both the Raman frequency and the damping constant were compared with the observed data from the literature. Finally, the values of the activation energy were deduced using our calculated damping constant via the Arrhenius plots.
The Analytical Analysis of Time-Fractional Fornberg-Whitham Equations
(MDPI AG, 2020) Baleanu, Dumitru; Shah, Rasool; Aly, Shaban; Khan, Hassan; Alderremy, A.A.
A Bayesian Approach to Heavy-Tailed Finite Mixture Autoregressive Models
(MDPI AG, 2020) Baleanu, Dumitru; Mahmoudi, Mohammad Reza; Nguyen, Vu-Thanh; Maleki, Mohsen; Pho, Kim-Hung
A Behavioral Perspective on Price Convergence via Perturbed Metric Spaces with an Extended Contraction
(Association of Mathematicians (MATDER), 2026) Bilazeroğlu, Şeyma
Bifurcations, Hidden Chaos and Control in Fractional Maps
(MDPI AG, 2020) Pham, Viet-Thanh; Ouannas, Adel; Almatroud, Othman Abdullah; Baleanu, Dumitru; Alsawalha, Mohammad Mossa; Khennaoui, Amina Aicha; Huynh, Van Van
Characterization of Loose Powder Sintered Porous Titanium and TI6Al4V Alloy
(2009) Bor, Şakir; Esen, Ziya; Tarhan Bor, Elif
Compatibility Assessment of Exterior Finish Coats for Insulated Walls
(Middle East Technical Univ, 2013) Demirci, Sahinde; Duzgunes, Arda; Ors, Kerime; Tavukcuoglu, Ayse
A Computational Method for Subdivision Depth of Ternary Schemes
(MDPI AG, 2020) Mustafa, Ghulam; Baleanu, Dumitru; Shahzad, Aamir; Khan, Faheem; Al-Qurashi, Maysaa M.
Configurations of a Drop Stuck between Two Parallel Laminae under Zero Gravity
(Springer INT Publ AG, 2026) Kessi, Arezki; Adjabi, Yassine; Jarad, Fahd; Namazov, Atif
In a zero-gravity environment and under static conditions, the interface between a drop and the surrounding fluid forms a surface of constant mean curvature. This concept is based on a general parametric representation proposed by Kenmotsu in 1980 with further developments discussed in 2003. In this article, we focus on studying the resulting axisymmetric surfaces in detail. Additionally, we rigorously characterize various configurations of a drop that is trapped between two parallel plates in the absence of gravity, while maintaining a fixed volume. These configurations depend on the contact angle with the plates (a phenomenological parameter) and the gap between them (a controllable parameter). Special attention is given to the case where the contact angle is equal to pi/2\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$ \pi /2 $$\end{document}.
Consequences of Soret-Dufour Effects, Thermal Radiation, and Binary Chemical Reaction on Darcy Forchheimer Flow of Nanofluids
(MDPI AG, 2020) Rasool, Ghulam; Baleanu, Dumitru; Shafiq, Anum
Convective Effect on Magnetohydrodynamic (MHD) Stagnation Point Flow of Casson Fluid over a Vertical Exponentially Stretching/Shrinking Surface: Triple Solutions
(MDPI AG, 2020) Lund, Liaquat Ali; Baleanu, Dumitru; Omar, Zurni; Nisar, Kottakkaran Sooppy; Khan, Ilyas
Critical Data-Based Incremental Cooperative Communication for Wireless Body Area Network
(MDPI AG, 2018) Al-Mishmish, Hameed; Rahim, Hasliza A.; Alkhayyat, Ahmed; Ahmad, R. Badlishah; Hammood, Dalal A.; Abbasi, Qammer H.

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