Inverse versus convolution treatment planning algorithms for gamma knife radiosurgery by Marwa Ghanim, Siham Abdullah, Moneer Faraj, Nabaa Alazawy

“…There was significant difference between the two algorithm plans for all dosimetric parameters, with the inverse plan providing higher coverage and selectivity than convolution plan, but taking longer time(p<0.05), while plan was inverse plan better than convolution plan in terms of gradient and conformity (p<0.05). …”
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DROVE: An Algorithm for Spatial and Temporal Disaggregation of On-road Vehicle Emission Inventories by Carlos M. González, Carlos D. Gómez, Beatriz H. Aristizábal

“…In this study, we present a new computational algorithm named DROVE, for the disaggregation of on-road vehicle emissions in space and time. …”
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Efficacy of a new treatment algorithm for capsulitis of the fingers in rock climbers by Volker Rainer Schöffl, Volker Rainer Schöffl, Volker Rainer Schöffl, Volker Rainer Schöffl, Volker Rainer Schöffl, Christoph Lutter, Christoph Lutter, Hans-Christoph Lang, Mario Perl, Othmar Moser, Michael Simon

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Getting the Best Out of Both Worlds: Algorithms for Hierarchical Inference at the Edge by Vishnu Narayanan Moothedath, Jaya Prakash Champati, James Gross

“…We evaluate and benchmark the performance of the proposed algorithms for image classification application using four datasets, namely, Imagenette and Imagewoof, MNIST, and CIFAR-10.…”
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Presenting and Solving a Three-layer Supply Chain Model to Maximize Quality and Minimize the Estimated Delivery Time by Elham Nazemi, Mahdi Yousefi Nejad Attari, Mahdi Ghaffari

“…After presenting the model, it is solved by applying deterministic algorithms using GAMS software, and also NSGAII and MOIWO non-deterministic meta-heuristic algorithms using proper software. …”
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Differential Evolution with Novel Mutation and Adaptive Crossover Strategies for Solving Large Scale Global Optimization Problems by Ali Wagdy Mohamed, Abdulaziz S. Almazyad

“…This paper presents Differential Evolution algorithm for solving high-dimensional optimization problems over continuous space. …”
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Simulating Co-Evolution and Knowledge Transfer in Logistic Clusters Using a Multi-Agent-Based Approach by Aitor Salas-Peña, Juan Carlos García-Palomares

“…The model enables the evolution of the network, leading to more complex collaborative structures. …”
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Discrete Element Simulations of Damage Evolution of NiAl-Based Material Reconstructed by Micro-CT Imaging by Arnas Kačeniauskas, Ruslan Pacevič, Eugeniuš Stupak, Jerzy Rojek, Marcin Chmielewski, Agnieszka Grabias, Szymon Nosewicz

“…Discrete element simulations based on micro-CT imaging revealed a realistic representation of the damage evolution and stress–strain dependency. The stress and strain of the numerically obtained curve peak differed from the experimentally measured values by 0.1% and 4.2%, respectively. …”
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CLINICAL MANIFESTATIONS OF TRAUMATIC INTRACRANIAL HEMATOMAS WITH DIFFERENT OUTCOMES by G. V. Anisimov, Y. I. Kravtsov

“…Aim – clarification of the clinical progression nature of traumatic intracranial hematoma.Materials and methods. A comparative evaluation of neurological status, vegetative tone, level of stress (SL), and consciousness in 42 menwith different outcomes on neuroreanimation stage.Results. …”
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New Courteous Algorithm for Uplink Scheduling in LTE-Advanced and 5G Networks by Chafika Tata, Nassima Fellag, Michel Kadoch

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A Novel Genetic Algorithm for Constrained Multimodal Multi-Objective Optimization Problems by Da Feng, Jianchang Liu

“…Additionally, three environmental selection strategies are designed to correspond to the different tasks in MTGA-CMMO. Extensive experimental verification demonstrates that MTGA-CMMO outperforms other comparative algorithms across multiple test instances and one practical application problem.…”
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Research on Parameter Extraction Method of Photovoltaic Module Based on Improved Hybrid Algorithm by Haitao Wu, Zhou Shang

“…Firstly, the analytical method is applied to simplify the equivalent circuit model and improve the efficiency of the algorithm. Then, the adaptive algorithm is used to adjust the parameters of the differential evolution algorithm. …”
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Decomposition-Based Multiobjective Evolutionary Algorithm for Community Detection in Dynamic Social Networks by Jingjing Ma, Jie Liu, Wenping Ma, Maoguo Gong, Licheng Jiao

“…The other is the temporal cost, which evaluates the difference between communities at different time steps. …”
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Chronic Hepatitis С in Siberian Federal District: Analysis of a Case Rate and Evolution of Genotypes of the Originator by E. D. Savilov, S. I. Malov, I. V. Malov, O. B. Ogarkov, V. A. Astafev, N. N. Chemezova, I. A. Miroshnichenko

“…For integrated assessment of an epidemiological situation indicators of a case rate of the chronic hepatitis C and statistical criteria are used: a standard deviation and rate of a gain of a case rate and also an algorithm of calculation of an integrated indicator in the form of presentation coefficient. …”
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Practical Comparison Between Genetic Algorithm and Clonal Selection Theory on KDD Dataset by Najlaa Aldabagh, Mafaz Khalil

“…Genetic algorithms (GA) which is a model of genetic evolution, while Clonal selection theory (CST) is from models of the natural immune system NIS,  the two models are from two different fields of Artificial Intelligence AI but they have portion of shared operations and objectives. …”
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A Recommendation Algorithm Incorporating Adaptive Gating Mechanisms and Knowledge Graph Enhancements by Yi Yu, Teng Lv

“…Aiming at the problem that existing knowledge graph-based recommendation algorithms do not fully utilize the interaction information between users and items, this paper proposes a recommendation algorithm called Gated Adaptive and Knowledge-Enhanced Recommendation (GAKR) that integrates an adaptive gating mechanism with knowledge graph enhancement. …”
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Problems of Algorithms Development to Determine Quality of Topic Models Ensembles for Make Rubricators by A. P. Shiryaev, A. R. Fedorov, P. A. Fedorov, L. G. Gagarina, E. M. Portnov

“…This article describes the usage of a voting algorithm, which is based on a group of different evaluation algorithms. …”
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A Constrained Solution Update Strategy for Multiobjective Evolutionary Algorithm Based on Decomposition by Yuchao Su, Qiuzhen Lin, Jia Wang, Jianqiang Li, Jianyong Chen, Zhong Ming

“…When compared to six competitive multiobjective evolutionary algorithms with different population selection or update strategies, the experiments validated the advantages of our approach on tackling two sets of test problems.…”
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A Novel Multi-Objective Hybrid Evolutionary-Based Approach for Tuning Machine Learning Models in Short-Term Power Consumption Forecasting by Aleksei Vakhnin, Ivan Ryzhikov, Harri Niska, Mikko Kolehmainen

“…The hybrid MO evolutionary algorithm integrates elements of genetic algorithms and self-adapted differential evolution. …”
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Robust Corner Detection Using Local Extrema Differences by Reza Yazdi, Hassan Khotanlou, Hosna Khademfar

“…Our approach leverages a unique corner response function derived from intensity sorting and difference calculations. We conduct a comprehensive evaluation comparing our detector to seven established algorithms using five benchmark images with ground truth corner locations. …”
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