AVALIAÇÃO ESPAÇO-TEMPORAL DA RELAÇÃO ENTRE O ESTADO TRÓFICO DO RESERVATÓRIO DE BARRA BONITA (SP) E O POTENCIAL POLUIDOR DE SUA BACIA HIDROGRÁFICA / Assessment of the space-time rel... by Evlyn M.L. M Novo, Rachel Bardy Prado

“…This research aimed to understand the fast water degradation process in overpopulated áreasas a result of inadequate land use and land cover practices. …”
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RAVSim v2.0: Enhanced visualization and comparative analysis for neural network models by Sanaullah, Axel Schneider, Joachim Waßmuth, Ulrich Rückert, Thorsten Jungeblut

“…This new feature facilitates the seamless integration of diverse datasets, streamlining the process for further analysis and exploration. Therefore, the developers can now focus on high-level tasks and gain a clear understanding of SNN without worrying about the technical complexities of weight generation. …”
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Influence of the Radial Gap on the External Gear Pump Performance by Alexander Mitov, Nikolay Nikolov, Ivan Kralov

“…The numerical study is performed with a two-dimensional (2D) computational fluid dynamics (CFD) model developed and advanced in previous authors’ works. …”
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Combined Activity Recognition Based on Continuous-Wave Radar and Vision Transformer by Junhao Zhou, Chao Sun, Youngok Kim

“…Our approach hinges on the micro-Doppler features derived from continuous-wave radar signals. We first process the human-generated radar echo signals to produce micro-Doppler spectrogram images. …”
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Different factors control long-term versus short-term outcomes for bacterial colonisation of a urinary catheter by Freya Bull, Sharareh Tavaddod, Nick Bommer, Meghan Perry, Chris A. Brackley, Rosalind J. Allen

“…Understanding the pathways by which bacteria colonise a urinary catheter could guide strategies to mitigate infection, but quantitative models for this colonisation process are lacking. Here we present a mathematical model for bacterial colonisation of a urinary catheter that integrates population dynamics and fluid dynamics. …”
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Development of a medicinal chemistry e-module using a team-based learning strategyDevelopment of a medicinal chemistry e-module using a team-based learning strategy by Ida Adhayanti, Sesilia Rante Pakadang

“…The readability score was computed using the Gunning Fog Index, while additional evaluations were performed through usability testing (face-to-face) and field implementation. …”
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ESTIMATION OF SATELLITE ALTIMETER ECHO-SIGNAL PARAMETERS BY STATISTICAL FITTING METHODS IN THE COURSE OF RETRACKING by D. S. Borovitsky, A. E. Zhesterev, V. P. Ipatov, R. M. Mamchur

“…In many modern measuring systems the altimeter data is processed in several stages. One of them is the ground-based retracking of the information streamed from the spacecraft. …”
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Numerical Analysis of the Blast Wave Propagation due to Various Explosive Charges by Lucia Figuli, Damjan Cekerevac, Chiara Bedon, Bohuš Leitner

“…In this regard, several advanced computer codes can be used in support of design and research developments. …”
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Tuning and Comparison of Optimization Algorithms for the Next Best View Problematic by Everardo Shain-Ruvalcaba, Efrain Lopez-Damian

“…The retrievement of the scene was made on an iterative process, and three different optimization methods were tuned and tested: Nelder-Mead, an Evolution Strategy, and Simulated Annealing. …”
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SymmPi: Exploiting Symmetry Removal for Fast Subgraph Matching by Yujiang Wang, Ying Cao, Zhaobo Zhang, Pingpeng Yuan, Hai Jin

“…Abstract Symmetry, a phenomenon of self-similarity, is common in many networks, which often incurs a lot of redundant accesses and computations, even duplicate results when executing graph matching tasks. …”
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Reduction of Active Power Loss at 110/220 kV Node Substations Using Fuzzy Controller by Krysanov V.N., Burkovsky V.L., Danilov A.D.

“…Currently, the evaluation of real static characteristics of the load is determined generally by the following methods: computational, ana-lytical, passive and active experiments. …”
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On Fostering Predictions in Data-Driven Reduced Order Model for Eulerian–Lagrangian Simulations: Decision of Sufficient Training Data by Kai-en Yang, Shuo Li, Guangtao Duan, Mikio Sakai

“…This necessitates a trial-and-error process and hinders its industrial applications. To address this issue, this study newly reveals a finding that data density is a key to sufficient training, and we propose a novel technique for deciding the sufficient training data of SM. …”
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Dataguzzler-Python and SpatialNDE2: Crucial Software Infrastructure for Reconfigurable NDE Data Acquisition With Spatial Context by Tyler J. Lesthaeghe, Stephen D. Holland

“…We describe a new pair of open-source tools, Dataguzzler-Python and SpatialNDE2, that facilitate instrumentation control, data acquisition, and processing for the NDE laboratory. The tools make up a framework that provides the following: multiplexed automatic and manual control of instrumentation, a versioned database to store the acquired data, parallel acquisition and live high performance/GPU computation, the ability to acquire and store data in geometric context, and the ability to visualize and interact with the acquired data. …”
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Multi-Scenario Robust Distributed Permutation Flow Shop Scheduling Based on DDQN by Shilong Guo, Ming Chen

“…In order to address the Distributed Displacement Flow Shop Scheduling Problem (DPFSP) with uncertain processing times in real production environments, Plant Simulation is employed to construct a simulation model for the MSRDPFSP. …”
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SOH and RUL Estimation for Lithium-Ion Batteries Based on Partial Charging Curve Features by Kejun Qian, Yafei Li, Qiheng Zou, Kecai Cao, Zhongpeng Li

“…The proposed methodology also exhibits robustness and computational efficiency, making it suitable for battery management systems (BMSs) of LiBs.…”
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Optimized Travel Itineraries: Combining Mandatory Visits and Personalized Activities by Parida Jewpanya, Pinit Nuangpirom, Siwasit Pitjamit, Warisa Nakkiew

“…ANSA is an enhanced version of the well-known Simulated Annealing algorithm (SA), providing an adaptive mechanism to manage the probability of selecting neighborhood moves during the SA search process. The computational results demonstrate that ANSA performs well in solving benchmark problems. …”
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Calcification of the stylohyoid complex in Libyans by Galal Omami

“…Results: Out of 3162 images studied, the styloid process was demonstrated to be regular in 1935 (61.2%), elongated in 541 (17.2%), calcified in 565 (17.8%), and undetected in 121 (3.8%). …”
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Enhancing aptamer selection in alzheimer’s disease: integrating structure prediction and molecular dynamics simulations by Benedikt Jakob Lohnes, Aaron John Goff, Udo Frank Hartwig, Nitesh Kumar Poddar

“…We observed a strong correlation between experimental affinity values and predicted binding free energies, demonstrating the value of implementing computational strategies to streamline the selection process. …”
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Dataset of Centella Asiatica leaves for quality assessment and machine learning applicationsMendeley Data by Rohini Jadhav, Mayuri Molawade, Amol Bhosle, Yogesh Suryawanshi, Kailas Patil, Prawit Chumchu

“…The images were pre-processed and standardized to 1024 × 768 dimensions, resulting in a dataset comprising a total of 9094 images. …”
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Development of Dispatching Rule based Heuristic Algorithms for Real-Time Dynamic Scheduling of Non-identical Parallel Burn-in Ovens with Machine Eligibility Restriction by Dhaval Pujara, M. Mathirajan

“…This study addresses a new problem, close to real life on scheduling of non-identical parallel Burn-in ovens (BO) in Semiconductor Manufacturing (SM) industry to minimize Total Weighted Tardiness (TWT) of the jobs. Due to computational intractability in using mathematical programming approach, many researchers considered Dispatching Rules (DR) based heuristic algorithm in SM industry for scheduling of various batch processing machines, including BO. …”
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