Solving Minimum Cost Three-Dimensional Localization Problem in Ocean Sensor Networks by Chao Zhang, Yingjian Liu, Zhongwen Guo, Yu Wang

“…Current localization algorithms mainly focus on how to localize as many sensors as possible given a set of mobile or static anchor nodes and distance measurements. …”
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Dense Crowd Dynamics and Pedestrian Trajectories: A Multiscale Field Dataset from the Festival of Lights in Lyon by Oscar Dufour, Huu-Tu Dang, Jakob Cordes, Raphael Korbmacher, Mohcine Chraibi, Benoit Gaudou, Alexandre Nicolas, Antoine Tordeux

“…Abstract The dynamics of dense crowds have received considerable attention from researchers seeking fundamental understanding or aiming to develop data-driven algorithms to predict pedestrian trajectories. However, current research mainly relies on data collected in controlled settings. …”
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Co-benefits for cropland yield, nitrogen emissions, and climate impact through multi-objective optimization agricultural manure solutions by Yinghua Yin, Shufang Guo, Qiyu Xu, Jian Liu, Hongyuan Wang, Yanhua Zhuang, Zhen Wang, Lingling Hua, Hongbin Liu, Limei Zhai

“…Here, we employed genetic algorithms and meta-analysis to obtain an optimal substitution rate for major crops in China. …”
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DOA Estimation Method for Vector Hydrophones Based on Sparse Bayesian Learning by Hongyan Wang, Yanping Bai, Jing Ren, Peng Wang, Ting Xu, Wendong Zhang, Guojun Zhang

“…Through extensive literature review, it has been found that sparse Bayesian learning (SBL) is mainly applied to traditional scalar hydrophones and is rarely applied to vector hydrophones. …”
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Comprehensive protein datasets and benchmarking for liquid–liquid phase separation studies by Carlos Pintado-Grima, Oriol Bárcenas, Eva Arribas-Ruiz, Valentín Iglesias, Michał Burdukiewicz, Salvador Ventura

“…Moreover, we describe limitations in classical and state-of-the-art predictive algorithms by providing the most comprehensive benchmark to date. …”
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Examining associations between street vegetation and child firearm violence at microgeographic locations in 3 US cities: a case-control study by Zihan Lin, Gregory A. Wellenius, Jonathan Jay

“…For each location, we applied deep learning algorithms to Google Street View images to classify street vegetation into tall (mainly tree) and short (mainly grass and shrubs). …”
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Reducing the Carbon Emissions of the Decentralized Joint Distribution Alliance by Order Allocation: A 2-Stage Approach Based on Routing Optimization and Worst-Case Estimation by Fei Bu, Lulu Sun, Meng Zhang, Dong Li

“…Joint distribution mode represents an effective means to address this issue. However, research on the joint distribution mode primarily focuses on the centralized joint distribution mode. …”
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A Super-Resolution Approach for Image Resizing of Infant Fingerprints With Vision Transformers by Joao H. P. Machado, Barbara De O. Koop, Marcelo Filipak, Marco A. C. Barbosa, Jefferson T. Oliva, Luiz Fernando Puttow Southier, Dalcimar Casanova, Marcelo Teixeira

“…Digital biometrics is one of the most widespread and reliable means of recognizing human identity. Despite being well-established for adults, digital biometrics for newborns constitutes a considerable open challenge in the literature. …”
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FBiLSTM-Attention short-term load forecasting based on fuzzy logic by Yan ZHANG, Zepeng KANG, Xiaozhi GAO, Nan YANG, Zhaolei WANG

“…Aiming at the problem of high uncertainty in power load data due to various factors, a fuzzy logic based FBiLSTM Attention short-term load forecasting model was proposed by combining the uncertainty of load data with deep learning algorithms to improve the accuracy of load forecasting. …”
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Use of filtration and electricity analogy in simulation of underflooding protection in urban construction by V. I. Sologaev

“…The methodology for complex calculation and modelling of the joint processes of water filtration in soils, the flow of electric current and electroosmotic filtration can find useful application in the development of effective protection against underflooding in urban construction. a sequence of algorithmic modelling steps is recommended. initially, it is recommended to run rough spreadsheet simulations on personal computers and mobile phones. next, a different modelling approach should be applied. based on the initial rough models of the previous step, it is necessary to write the algorithms in the programming language. the compiled model of the investigated filtration and electroosmosis processes will significantly increase the reliability of the design of protection against underflooding.conclusion. a comparison is made of the joint use of construction dewatering means of different physical essence, with simultaneous processes of gravitational filtration of underground water and passing a direct electric current through the drained soil, which causes an additional effect of electroosmosis. it is proposed to apply in a new way the analogy of water filtration and electric current in order to achieve more effective results of engineering activities by modeling protection against underflooding of building areas, ensuring the safety of urban construction when the level of groundwater rises.…”
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Elogio de la lentitud. Modulaciones temporoespaciales de decolonización del dispositivo digital en la sociedad algorítmica by Verónica Paula Gómez

“…This leads to the strengthening of an algorithmic society in which the opacity of information means the loss of futurity in the hands of a closed circuit of knowledge-power and truth. …”
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Pertinence of contact duration as edge feature for epidemic spread analysis by Ramya D. Shetty, Shrutilipi Bhattacharjee

“…Existing studies consider the edges mostly equally while designing the algorithms for the unweighted contact networks, where each connection explicitly shows whether the individuals are in contact or not. …”
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Paraneoplastic Leser-Trélat Syndrome: Clinical Manifestations, Diagnosis and Treatment by T. A. Gaydina, A. S. Dvornikov, P. A. Skripkina

“…Dermatological paraneoplastic syndromes require further in-depth study to understand the pathogenesis, create a clear classification and develop algorithms for the doctor’s actions in case of their detection.…”
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Modelling penetration testing with reinforcement learning using capture‐the‐flag challenges: Trade‐offs between model‐free learning and a priori knowledge by Fabio Massimo Zennaro, László Erdődi

“…So far, penetration testing has been carried out mainly by trained human attackers and its success critically depended on the available expertise. …”
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Social media use to enhance children’s diets: the case of Lebanese mothers by Carla Tenkerian, Rita Sayah

“…This study investigates the influence of observational learning and modeling on behaviors, especially how the mothers’ use of social media can enhance children’s diets, based on a Lebanese case study. It mainly examines the extent to which mothers who frequently engage with platforms such as TikTok and Instagram actively search for, select and use nutritious lunch box recipes while preparing their children’s meals, in comparison to those who use these platforms less frequently. …”
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Methodology of evaluation and correction of geometric data topology in QGIS software by Anita Kukulska, Tomasz Salata, Katarzyna Cegielska, Marta Szylar

“…The tools and plug-ins for evaluation and revision of geometric and topological correctness of a vector model implemented in QGIS software were mainly used in the survey. Elaborated algorithms are aimed at acceleration of data processing to allow their usage during that process. …”
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Comparative analysis of the effectiveness of three immunization strategies in controlling disease outbreaks in realistic social networks. by Zhijing Xu, Zhenghu Zu, Tao Zheng, Wendou Zhang, Qing Xu, Jinjie Liu

“…The high incidence of emerging infectious diseases has highlighted the importance of effective immunization strategies, especially the stochastic algorithms based on local available network information. …”
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Marine Mammals Classification using Acoustic Binary Patterns by Maheen NADIR, Syed Muhammad ADNAN, Sumair AZIZ, Muhammad Umar KHAN

“…Marine mammal identification and classification for passive acoustic monitoring remain a challenging task. Mainly the interspecific and intraspecific variations in calls within species and among different individuals of single species make it more challenging. …”
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Development of RF Hardware and Point Cloud Processing Method for Phased Array Millimeter Wave Radar by Zihang Yan, Hua Zhang, Bo Yan, Jingrong Sun

“…Finally, through actual testing and comparison with other clustering algorithms, the superiority of this method in clustering accuracy and processing time was verified. …”
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AI-powered literature search: some observations and concerns by Farooq Azam Rathore, Fareeha Farooq

“…They should clearly outline their article selection criteria and summarization algorithms. This should be clearly displayed at the appropriate place at the website…”
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