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Now showing items 11-18 of 18
Solution approaches for the bi-objective Skiving Stock Problem
(Pergamon-Elsevier Science Ltd, 2023)
The Skiving Stock Problem (SSP) aims to determine an optimal plan for producing as many large objects as possible by combining small items. The skiving process may need different considerations depending on the production ...
A YARN-based Energy-Aware Scheduling Method for Big Data Applications under Deadline Constraints
(Springer, 2022)
Hadoop is a distributed framework for processing big data. One of the critical parts of Hadoop is YARN, which carries out scheduling and resource management. A scheduling algorithm should consider multiple objectives. ...
Cloud healthcare services: A comprehensive and systematic literature review
(Wiley, 2022)
Over the last decade, the landscape of cloud computing has been significantly changed. It has been known as a paradigm in which a shared pool of computing resources is accessible for users. The rapid growth of the healthcare ...
A review of path planning algorithms in maritime autonomous surface ships: Navigation safety perspective
(Pergamon-Elsevier Science Ltd, 2022)
Unmanned maritime systems are evolving in a rapidly changing environment. Although the regulation and international law processes are still in progress, there are numerous research attempts regarding autonomous maritime ...
A New Decision-Making Method for Service Discovery and Selection in the Internet of Things Using Flower Pollination Algorithm
(Springer, 2022)
The Internet of Things (IoT) enables intelligent and heterogeneous things to access the Internet and subsequently interact and share info. A service management methodology is required by growing IoT applications and the ...
A new fog-based transmission scheduler on the Internet of multimedia things using a fuzzy-based quantum genetic algorithm
(IEEE Computer Society, 2023)
The Internet of Multimedia Things (IoMT) has recently experienced a considerable surge in multimedia-based services. Due to the fast proliferation and transfer of massive data, the IoMT has service quality challenges. This ...
Optimization of graph affinity matrix with heuristic methods in dimensionality reduction of hypespectral images
(Institute of Electrical and Electronics Engineers Inc., 2019)
Hyperspectral images include hundreds of spectral bands, adjacent ones of which are often highly correlated and noisy, leading to a decrease in classification performance as well as a high increase in computational time. ...
FEATURE SELECTION USING SELF ORGANIZING MAP ORIENTED EVOLUTIONARY APPROACH
(Institute of Electrical and Electronics Engineers Inc., 2021)
Hyperspectral images are the multidimensional matrices consisting of hundreds of spectral feature vectors. Thanks to these large number of features, the objects on the Earth having similar spectral characteristics can ...