Simulation and MCDA-based framework for border crossing process design with static and dynamic control of passenger flow by Piotr Sawicki, Hanna Sawicka

“…The primary outcome is the selection of a recommended process configuration, including the types and number of servers required to ensure an efficient passenger flow within the BCP, and satisfactory service levels from the passenger's perspective. …”
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Detect+Track: robust and flexible software tools for improved tracking and behavioural analysis of fish by Abhishek Dutta, Natalia Pérez-Campanero, Graham K. Taylor, Andrew Zisserman, Cait Newport

“…The modular workflow is adaptable to new experimental designs, supports manual correction and retraining for new object classes and allows efficient large-scale batch processing. By addressing key limitations of existing tracking tools, Detect+Track provides a flexible and generalizable solution for researchers studying movement and decision-making in complex environments. …”
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Advancing Credit Rating Prediction: The Role of Machine Learning in Corporate Credit Rating Assessment by Nazário Augusto de Oliveira, Leonardo Fernando Cruz Basso

“…The study evaluated multiple ML models, including Logistic Regression, Support Vector Machines, Decision Trees, Random Forest, Gradient Boosting (GB), and Neural Networks, using rigorous data pre-processing, feature selection, and validation techniques. Results indicate that Artificial Neural Networks (ANN) and GB consistently outperform traditional models, particularly in capturing non-linear relationships and complex interactions among predictive factors. …”
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YOLO-Act: Unified Spatiotemporal Detection of Human Actions Across Multi-Frame Sequences by Nada Alzahrani, Ouiem Bchir, Mohamed Maher Ben Ismail

“…This paper introduces YOLO-Act, a novel spatiotemporal action detection model that enhances the object detection capabilities of YOLOv8 to efficiently manage complex action dynamics within video sequences. …”
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Comparative Analysis of ARIMA, Prophet, and Glmnet for Long Term Evolution (LTE) Base Station Traffic Forecasting by Tutun Juhana, Hajiar Yuliana, . Hendrawan, . Iskandar, Yasuo Musashi

“…The findings reveal that Glmnet consistently outperforms ARIMA and Prophet across all categories of traffic forecasting on the selected performance metrics. Its ability to handle complex data structures, manage multicollinearity, and deliver robust and accurate predictions makes it the preferred choice for forecasting cellular network traffic in the telecommunications domain.   …”
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Gaseous hydrocarbons absorption by ILs: insights from artificial intelligence strategy by Reyhaneh Alborz, Mohammad Mahmoudnezhad, Alireza Baghban

“…Abstract Accurate prediction of hydrocarbon solubility in ionic liquids (ILs) is essential for optimizing solvent selection and designing efficient chemical processes in industries such as energy production and environmental remediation. …”
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A GD-PSO Algorithm for Smart Transportation Supply Chain ABS Portfolio Optimization by Yingjia Sun, Hongfeng Ren

“…Different from forward selection or linear optimization, which could have low efficiency for complicated problems with large sample size and multiple objectives, new methods and algorithms for NP-hard problems would be necessary to be investigated. …”
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TTG-Text: A Graph-Based Text Representation Framework Enhanced by Typical Testors for Improved Classification by Carlos Sánchez-Antonio, José E. Valdez-Rodríguez, Hiram Calvo

“…By combining symbolic algorithms with graph-based models, this hybrid approach offers a more interpretable, efficient, and high-performing solution for complex NLP tasks.…”
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AN APPROACH TO CELL NUCLEI COUNTING IN HISTOLOGICAL IMAGE ANALYSIS by M. M. Lukashevich, V. V. Starovoitov

“…For each parameter we have defined value ranges, and then realized a selection of optimal values for every parameter and a mutual combination of them. …”
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Agricultural plant jiaosu: valorization of organic wastes for sustainable agriculture by Yumeng Wang, Jianxun Li, Xin Li, Shankai Wu, Wenjun Song, Ping Li

“…However, further investigation and study are necessary due to the complex composition of APJ.…”
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MG6D: A Deep Fusion Approach for 6D Pose Estimation With Mamba and Graph Convolution Network by Jiaqi Zhu, Bin Li, Xinhua Zhao

“…Accurate and efficient 6D pose estimation is a fundamental technology in many industrial applications. …”
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MICAAL: A Domain-Specific Language for Microservices in Ambient Assisted Living by Wilson Valdez Solis, Priscila Cedillo, Attila Kertesz

“…MICAAL empowers users to design modular, scalable systems by enabling the easy selection and deployment of microservices ensuring that IoT devices in AAL environments are efficiently supported and adaptable to changing needs. …”
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A cooperative jamming decision-making method based on multi-agent reinforcement learning by Bingchen Cai, Haoran Li, Naimin Zhang, Mingyu Cao, Han Yu

“…The proposed approach achieves high-quality and efficient target allocation, jamming mode selection, and power control. …”
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ECONOMIC AND MANAGEMENT ISSUES CONCERNING ARCHAEOLOGICAL SITES: COST ANALYSIS, STUDY OF TOURIST FLOWS AND SUSTAINABILITY PERSPECTIVES FOR THE ARCHAEOLOGICAL PARK OF POMPEII by Gabriel Zuchtriegel, Luigi Petti, Antonio Nesticò, Gabriella Maselli, Vincenzo Calvanese, Anna Onesti, Arianna Spinosa

“…The efficient allocation of the resources available to an archaeological park is particularly important in relation to excavation, restoration and conservation activities. …”
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Density estimation via binless multidimensional integration by Matteo Carli, Alex Rodriguez, Alessandro Laio, Aldo Glielmo

“…The method is tested on a variety of complex synthetic high-dimensional datasets, where it is shown to outperform traditional estimators, and is benchmarked on realistic datasets from the chemical physics literature.…”
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A systematic review of factors influencing green public procurement in higher education institutions by Santosh Bhandari, Myriam Lopes, Sara Moreno Pires

“…Influencing factors related to the organization were the most complex. Furthermore, HEIs should prioritize GPP-related knowledge. …”
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Improved method for a pedestrian detection model based on YOLO by Yanfei LI, Chengyi DONG

“…The proposed method had superior performance in dense agricultural contexts while improving detection capabilities for pedestrian distribution patterns under complex farmland conditions, including variable lighting and mechanical occlusions. …”
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Advances in Beneficiation Processes for Low-grade Bastnaesite-associated Fluorite Resources by Wei YANG, Hongqi TAN, Xiaohong XIA, Zhiyuan XIE, Yingjiang ZHU, Qiang GONG, Yue HU

“…In China, bastnaesite type fluorite resources are primarily formed in rare earth deposits such as the Bayan Obo and Maoniuping regions, characterized by "low-grade, fine-grained dissemination, and complex mineral paragenesis". Traditional separation technologies face challenges due to the similar floatability of rare earth minerals and fluorite, as well as the poor selectivity of conventional reagents. …”
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Hybrid Optimization Method for Social Internet of Things Service Provision Based on Community Detection by Bahar Allakaram Tawfeeq, Amir Masoud Rahmani, Abbas Koochari, Nima Jafari Navimipour

“…The average response time of IGBSA‐CD presents that it is efficient in all three tasks is 0.04 s. It also has a consistently lower response time, even when the task is complex. …”
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Papillary thyroid carcinoma whole-slide images as a basis for deep learning by M. V. Fridman, A. A. Kosareva, E. V. Snezhko, P. V. Kamlach, V. A. Kovalev

“…Authors discuss the second selection of signs for the marking of histological images, methodological approaches to dissect whole-slide images, how to prepare raw data for a future analysis. …”
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