Browsing Yazılım Mühendisliği Bölümü Makale Koleksiyonu by Title
Now showing items 1-20 of 35
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3D path planning method for multi-UAVs inspired by grey wolf algorithms
(LIBRARY & INFORMATION CENTER, 2021)Efficient and collision-free pathfinding, between source and destination locations for multi-Unmanned Aerial Vehicles (UAVs), in a predefined environment is an important topic in 3D Path planning methods. Since path planning ... -
Adapted-RRT: novel hybrid method to solve three-dimensional path planning problem using sampling and metaheuristic-based algorithms
(Springer Science and Business Media Deutschland GmbH, 2021)Three-dimensional path planning for autonomous robots is a prevalent problem in mobile robotics. This paper presents three novel versions of a hybrid method designed to assist in planning such paths for these robots. In ... -
Adaptive metaheuristic-based methods for autonomous robot path planning: Sustainable agricultural applications
(MDPI, 2022)The increasing need for food in recent years means that environmental protection and sustainable agriculture are necessary. For this, smart agricultural systems and autonomous robots have become widespread. One of the most ... -
Classical and intelligent methods in model extraction and stabilization of a dual-axis reaction wheel pendulum: a comparative study
(Elsevier B.V., 2022)Controlling underactuated open-loop unstable systems is challenging. In this study, first, both nonlinear and linear models of a dual-axis reaction wheel pendulum (DA-RWP) are extracted by employing Lagrangian equations ... -
Clustered design-model generation from a program source code using chaos-based metaheuristic algorithms
(Springer Science and Business Media Deutschland GmbH, 2022)Comprehension of the structure of software will facilitate maintaining the software more efficiently. Clustering software modules, as a reverse engineering technique, is assumed to be an effective technique in extracting ... -
Computational modeling of vascular growth in patient-specific pulmonary arterial patch reconstructions
(Elsevier Science, 2021)Recent progress in vascular growth mechanics has involved the use of computational algorithms toaddress clinical problems with the use of three-dimensional patient specific geometries. The objectiveof this study is to ... -
Data preprocessing strategy in constructing convolutional neural network classifier based on constrained particle swarm optimization with fuzzy penalty function
(Elsevier, 2022)Convolutional neural networks (CNNs) have attracted increasing attention in recent years because of their powerful abilities to extract and represent spatial/temporal information. However, for general data, its features ... -
Detection and prevention of attacks on the internet of things (IoT) and wireless sensor networks
(GAZI UNIV, 2021)IoT (Internet of Things) ya da diğer adıyla Nesnelerin İnterneti kavramı, internete bağlanan ve diğer cihazlarla iletişimde olan her nesneyi kapsamaktadır. Artık hayatımızın bir parçası haline gelecek otonom araçlar, akıllı ... -
FIP: A fast overlapping community-based influence maximization algorithm using probability coefficient of global diffusion in social networks
(Elsevier Ltd, 2023)Influence maximization is the process of identifying a small set of influential nodes from a complex network to maximize the number of activation nodes. Due to the critical issues such as accuracy, stability, and time ... -
Fuzzy control problem via random multi-valued equations in symmetric F-n-NLS
(MDPI, 2022)To study an uncertain case of a control problem, we consider the symmetric F-n-NLS which is induced by a dynamic norm inspired by a random norm, distribution functions, and fuzzy sets. In this space, we consider a random ... -
Fuzzy generalized fractional power series technique for simulating fuzzy fractional relaxation problem
(Springer link, 2022)In this paper, the fuzzy generalized fractional power series method is proposed to obtain the numerical solutions of a class of fuzzy fractional relaxation problems. For this purpose, the fuzzy generalized fractional power ... -
High-throughput analysis of the interactions between viral proteins and host cell RNAs
(Elsevier Ltd, 2021)Indexed keywords Abstract RNA-protein interactions of a virus play a major role in the replication of RNA viruses. The replication and transcription of these viruses take place in the cytoplasm of the host cell; hence, ... -
Hybrid algorithms based on combining reinforcement learning and metaheuristic methods to solve global optimization problems
(Elsevier B.V., 2021)This paper introduces three hybrid algorithms that help in solving global optimization problems using reinforcement learning along with metaheuristic methods. Using the algorithms presented, the search agents try to find ... -
An improved farmland fertility algorithm with hyper-heuristic approach for solving travelling salesman problem
(TECH SCIENCE PRESS, 2022)ravelling Salesman Problem (TSP) is a discrete hybrid optimization problem considered NP-hard. TSP aims to discover the shortest Hamilton route that visits each city precisely once and then returns to the starting point, ... -
Improving the performance of hierarchical wireless sensor networks using the metaheuristic algorithms: efficient cluster head selection
(Emerald Group Holdings Ltd., 2021)Purpose: Efficient resource utilization in wireless sensor networks is an important issue. Clustering structure has an important effect on the efficient use of energy, which is one of the most critical resources. However, ... -
Maximizing coverage and maintaining connectivity in WSN and decentralized IoT: an efficient metaheuristic-based method for environment-aware node deployment
(Springer Science and Business Media Deutschland GmbH, 2022)The node deployment problem is a non-deterministic polynomial time (NP-hard). This study proposes a new and efficient method to solve this problem without the need for predefined circumstances about the environments ... -
A new maximal flow algorithm for solving optimization problems with linguistic capacities and flows
(ELSEVIER SCIENCE INC, 2022)The maximal flow problems (MFPs) are among the most significant optimization problems in network flow theory with widespread and diverse applications. To represent qualitative aspects of uncertainty in the maximal flow ... -
A new method to solve linear programming problems in the environment of picture fuzzy sets
(Iranian Journal of Fuzzy Systems, 2022)Picture fuzzy set is characterized by neutral membership function along with the membership and non-membership functions, and is, therefore, more general than the intuitionistic fuzzy set which is only characterized by ... -
A Novel and Mosaic WDR45 Nonsense Variant Causes Beta-Propeller Protein-Associated Neurodegeneration Identified Through Whole Exome Sequencing and X chromosome Heterozygosity Analysis
(Humana Press Inc, 2019)Beta-propeller protein-associated neurodegeneration (BPAN) is an X-linked rare dominant disorder of autophagy. The role of WDR45 has been implicated in BPAN almost exclusively in females possibly due to male lethality. ... -
Optimal characterization of a microwave transistor using grey wolf algorithms
(SPRINGER, 2021)Modern time microwave stages require low power consumption, low size, low-noise amplifier (LNA) designs with high-performance measures. These demands need a single transistor LNA design, which is a challenging multi-objective, ...
