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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Research on Parameter Extraction Method of Photovoltaic Module Based on Improved Hybrid Algorithm by Haitao Wu, Zhou Shang

“…In order to effectively extract the parameters of photovoltaic modules, this paper proposes a hybrid algorithm combining analytical methods and differential evolution algorithms for the extraction parameters of PV module. …”
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Comparative Study of Swarm-Based Algorithms for Location-Allocation Optimization of Express Depots by Yong-Wei Zhang, Qin Xiao, Xue-Ying Sun, Liang Qi

“…The proposed encoding scheme is verified on particle swarm optimization, differential evolution, artificial bee colony, and powerful differential evolution variant, and the performances are compared to those of the traditional encoding scheme. …”
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Coordinated Control of PV Generation and EVs Charging Based on Improved DECell Algorithm by Guo Zhao, Xueliang Huang, Hao Qiang

“…By integrating the meshing method into differential evolution cellular (DECell) genetic algorithm, an improved differential evolution cellular (IDECell) genetic algorithm was presented to solve the multiobjective optimization model. …”
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Pattern Nulling of Linear Antenna Arrays Using Backtracking Search Optimization Algorithm by Kerim Guney, Ali Durmus

“…The results obtained by BSA are compared with the results of the following seventeen algorithms: particle swarm optimization (PSO), genetic algorithm (GA), modified touring ant colony algorithm (MTACO), quadratic programming method (QPM), bacterial foraging algorithm (BFA), bees algorithm (BA), clonal selection algorithm (CLONALG), plant growth simulation algorithm (PGSA), tabu search algorithm (TSA), memetic algorithm (MA), nondominated sorting GA-2 (NSGA-2), multiobjective differential evolution (MODE), decomposition with differential evolution (MOEA/D-DE), comprehensive learning PSO (CLPSO), harmony search algorithm (HSA), seeker optimization algorithm (SOA), and mean variance mapping optimization (MVMO). …”
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Swarm Control with RRT-APF Planning and FNN Task Allocation Tested on Mobile Differential Platform by Michal Lajčiak, Ján Vachálek

“…Therefore, performance was evaluated on tasks that resemble such processes.…”
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Research and analysis of differential gene expression in CD34 hematopoietic stem cells in myelodysplastic syndromes. by Min-Xiao Wang, Chang-Sheng Liao, Xue-Qin Wei, Yu-Qin Xie, Peng-Fei Han, Yan-Hui Yu

“…In order to enhance prediction accuracy, we incorporated six common predictive models and trained them based on the filtered differential gene expression dataset. After comprehensive evaluation, we ultimately selected three algorithms-Lasso regression, random forest, and support vector machine (SVM)-as our core predictive models. …”
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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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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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IRON DEFICIENCY ANEMIA AND ANEMIA OF CHRONIC DISEASES: SOME ASPECTS OF THE PATHOGENESIS AND PROSPECTS OF DIFFERENTIAL DIAGNOSIS by Сатеник Аршавиловна Клочкова-Абельянц, Галина Северьевна Суржикова

“…Objective – to evaluate the information content of modern methods for studying iron metabolism in the algorithm for the differential diagnosis of hypochromic anemias. …”
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Development of Integrated Chassis Control of Semi-Active Suspension with Differential Brake for Vehicle Lateral Stability by Kyungtack Lee, Jinwoo Seol

“…In the estimation layer, an algorithm is proposed to robustly estimate the side slip angle and roll angle in various situations. …”
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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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Overcoming Stagnation in Metaheuristic Algorithms with MsMA’s Adaptive Meta-Level Partitioning by Matej Črepinšek, Marjan Mernik, Miloš Beković, Matej Pintarič, Matej Moravec, Miha Ravber

“…The experimental results on the CEC’24 benchmark suite, which includes 29 diverse test functions, and on a real-world Load Flow Analysis (LFA) optimization problem demonstrate that MsMA consistently enhances the performance of all tested algorithms. In particular, Self-Adapting Differential Evolution (jDE), Manta Ray Foraging Optimization (MRFO), and the Coral Reefs Optimization Algorithm (CRO) showed significant improvements when paired with MsMA. …”
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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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Machine learning differentiation of rheumatoid arthritis-Sjögren’s syndrome overlap from Sjögren’s syndrome with polyarthritis by Minzhi Gan, Yong Peng, Ying Ying, Keyue Zhang, Yong Chen

“…ObjectiveThis study aimed to evaluate the utility of machine learning algorithms in differentiating rheumatoid arthritis-Sjögren’s syndrome overlap (RA-SS) from Sjögren’s syndrome with polyarthritis (SS-PA), and to identify key factors influencing diagnostic differentiation.MethodsThis retrospective analysis included 106 RA-SS and 135 SS-PA patients randomized 7:3 into training and validation sets. …”
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Constraint Consensus Based Artificial Bee Colony Algorithm for Constrained Optimization Problems by Liling Sun, Yuhan Wu, Xiaodan Liang, Maowei He, Hanning Chen

“…The performance of the proposed ABCCC is verified by a set of constrained benchmark problems comparing with two state-of-the-art CC-based EAs, including particle swarm optimization based on CC (PSOCC) and differential evolution based on CC (DECC). Experimental results demonstrate the promising performance of the proposed algorithm, in terms of both optimization quality and convergence speed.…”
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