Suggested Topics within your search.
Suggested Topics within your search.
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Solving the shortest path Problem in an interval-valued Neutrosophic Pythagorean environment using an enhanced A* search algorithm
Published 2025-02-01“…This interval representation can effectively handle imprecise or incomplete information and is a powerful tool in executive processes. In this research paper, we proposed an improved A* search algorithm that takes advantage of the interval-valued neutrosophic Pythagorean environment. …”
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Improving the performance of a two-phase ejector using genetic algorithm based on secondary fluid entrainment rate
Published 2022-12-01“…The objective of this research is to identify the optimal ejector geometry to maximize the absorption rate of the secondary fluid. …”
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Feature Selection based on Genetic Algorithm for Classification of Mammogram Using K-means, k-NN and Euclidean Distance
Published 2023-02-01“… There have been several supervised classification attempts for mammograms in the recent times, but very few research works have focused on unsupervised classification to explore its potentialities and weaknesses. …”
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Geographical profiling of wood samples via ATR-FTIR spectroscopy and machine learning algorithms: Application in wood forensics
Published 2024-12-01“…This study aims to leverage ATR-FTIR spectroscopy alongside machine learning algorithms to construct a robust model for discerning the geographical origins of wood samples from India. …”
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DCEEMR: A Delay-Constrained Energy Efficient Multicast Routing Algorithm in Cognitive Radio Ad Hoc Networks
Published 2014-11-01“…Moreover, the algorithm does not suffer from high complexity common to the algorithm QDMR. …”
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Hybrid multi objective marine predators algorithm based clustering for lightweight resource scheduling and application placement in fog
Published 2025-05-01“…The scheduling difficulties are multi-objective in nature, since they must handle the issues of avoiding resource waste, network latency, and maximising Quality of Service (QoS) on fog nodes. In this research, the Hybrid Multi-Objective Marine Predators Algorithm-based Clustering and Fog Picker (HMMPACFP) Technique is developed as a combinatorial model for tackling the problem of fog node allocation, with the goal of achieving dynamic scheduling using lightweight characteristics. …”
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Surface Roughness Optimization of Polyamide-6/Nanoclay Nanocomposites Using Artificial Neural Network: Genetic Algorithm Approach
Published 2014-01-01“…During the past decade, polymer nanocomposites attracted considerable investment in research and development worldwide. One of the key factors that affect the quality of polymer nanocomposite products in machining is surface roughness. …”
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Tracking algorithm when managing competitive activities of top level teams online based on computer visioncomputer vision
Published 2024-07-01“…The research is based on methods and algorithms for solving management problems in organizational systems.Result. …”
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Optimizing Personalized Recommender Systems for Teachers’ Digital Learning Models Using Deep Learning Algorithms
Published 2025-01-01“…To address this issue, this paper proposes a personalized recommendation algorithm based on Graph Neural Networks (PRAGNN) for teachers’ digital learning models. …”
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Determining Point of Economic Cattle Milk Production through Machine Learning and Evolutionary Algorithm for Enhancing Food Security
Published 2023-01-01“…The current communique is about assessing the capacity of ANN to predict investment on cattle till age at first calving (AFC) and milk production based on the data of 340 Vrindavani crossbreed cattle developed at the ICAR-Indian Veterinary Research Institute in Izatnagar, India. Three distinct artificial neural network (ANN) algorithms, namely, Levenberg–Marquardt (LM), Bayesian regularization (BR), and gradient descent momentum with adaptive learning rate backpropagation (GDX) were used to train the ANN infrastructure for determining milk production and investment based on body weight and AFC as input variables. …”
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TS-SSA: An improved two-stage sparrow search algorithm for large-scale many-objective optimization problems.
Published 2025-01-01“…This paper proposes an improved sparrow search algorithm (SSA) that manages convergence and diversity separately for solving LSMaOPs, called two-stage sparrow search algorithm (TS-SSA). …”
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A cluster based routing for maximizing the lifetime of underwater wireless sensor network using gravitational search algorithm
Published 2025-03-01“…Also, the proposed algorithm works well for higher and lower node densities. …”
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