A Minimized Data Collection Optimization Method for Distribution Networks Considering Multiple-Time and Compressed Candidate Sets by Zhaoxiang YUAN, Zhihong XIAO, Jing WANG, Yanling YU, Yan HUANG, Xingle GAO

“…The model of this method is solved in two stages: In the first stage, the candidate measurement set is compressed, with the Fisher information matrix (FIM) value used as the pheromone update parameter of ant colony algorithm. …”
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Heuristic algorithm tool for planning mass vaccine campaigns by Jessica Rodríguez-Pereira, Helena Ramalhinho, Paula Sarrà

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A Regionalization Approach Based on the Comparison of Different Clustering Techniques by José Luis Aguilar Colmenero, Javier Portela Garcia-Miguel

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Protocol for a randomized and a non-randomized controlled trial testing Daily Growth: a personalised ‘ecological momentary intervention’ parenting app for parents and carers of chi... by Elizabeth M. Westrupp, Maria Bates, Kelsie J. Bufton, Tomer B. Berkowitz, Melody Popple, Gabriella L. King, Sara Jones, Jem Stone, Joost J. C. Funke Kupper, John W. Toumbourou, Chandan Karmakar, Sophie S. Havighurst, Christiane E. Kehoe, Maia Angelova, Melissa O’Shea, Leslie Tarrant, Lisa S. Olive, Subhadra Evans, Stefanie Ewald, Julia M. Mikocka, Keri Little, Kylie D. Hesketh, Matthew Fuller-Tyszkiewicz

“…Findings will inform future approaches to scalable, inclusive, and responsive parenting support in early childhood. …”
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Autonomous agents: Augmenting visual information with raw audio data. by Enoch Solomon

“…In the realm of game playing, deep reinforcement learning predominantly relies on visual input to map states to actions. …”
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Design and implementation of an information mining lamp based on UWB technology by Fei WANG

“…The time slot dynamic scheduling algorithm is used to manage the precise positioning time slot and the data communication time slot, and perform TOF positioning in the precise positioning time slot to monitor the personnel position information in real time. …”
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Physics-Informed Deep Learning for Three Dimensional Black Holes by Emad Yaraie, Hossein Ghaffarnejad, Mohammad Farsam

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Emotional influences on user continuous use intention in recommended news apps: A study of algorithm appreciation and fatigue within the cognition-affect-conation framework by Ke Zhang, Yuchen Xie, Yutong He, Jing Wang

“…Algorithm fatigue plays a mediating role among users' perceived information narrowing, perceived content low quality, perceived information overload and continuance usage intention. …”
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Target Detection Label Assignment Method Based on Global Information by ZHANG Pei-pei, LU Zhen-yu

“…Aiming at this problem, this paper proposes a target detection label allocation method based on global information, which uses the assignment method to establish a global optimal label allocation mathematical model based on the loss function in the model training stage, and gives the fusion mode of the model with other object detection models, and the role played by the method in the process of object detection. …”
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Algorithmic literacy and media practices among young people in Brussels by Sylvain Malcorps, Arnaud Claes, Thibault Philippette, Marie Dufrasne

“…Recommendation algorithms play an undeniable role in the access to information, and are aimed at making browsing easier for users by recommending the most "relevant" content according to a series of criteria selected by their designers. …”
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Ensemble Learning Algorithms based on Road Accident Data Prediction by Reddy Gondi Konda, Vullam Nagagopi Raju, Sekhar G. Soma, Sundaragiri Dheeraj, Shaik Subhani

“…Environmental factors also play a key role in road accidents even if drivers are carefully driving vehicles. …”
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Predictive algorithm for COVID-19 infection risk in indoor environments by Chiara Rucco, Prisco Piscitelli, Antonella Longo, Ali Aghazadeh Ardebili, Alessandro Miani, Enrico Greco

“…Parameters such as humidity, temperature, CO2, and particulate matter concentrations (namely PM10 and PM2.5), have been assessed and modelled as indicators of indoor air quality, with these measures having been combined to generate a predictive algorithm specifically able to provide information about the transmission dynamics of COVID-19 and airborne infectious diseases within indoor spaces. …”
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Application of Improved K-Means Algorithm in Collaborative Recommendation System by Hui Jing

“…In the face of massive data, collaborative filtering algorithm plays an important role in information filtering and information refinement. …”
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Prediction of mung bean production using machine learning algorithms by Azanu Mirolgn Mequanenit, Aleka Melese Ayalew, Ayodeji Olalekan Salau, Eyerusalem Alebachew Nibret, Million Meshesha

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Laryngeal cancer diagnosis based on improved YOLOv8 algorithm by Xin Nie, Xueyan Zhang, Di Wang, Yuankun Liu, Lumin Xing, Wenjian Liu

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Target Tracking Algorithm Based on Adaptive Scale Detection Learning by Dawei Yang

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Predicting Voluntary Auditor Change Using the Water Cycle Algorithm by Erfan Safdel, Hoda Eskandar, Hassan Yazdifar

“…In this regard, the purpose of this research is to predict voluntary auditor change (non-continuation of the relationship with the current client) using a meta-heuristic algorithm (Water Cycle Algorithm, WCA) and to compare the results with the logistic regression method.MethodsThe statistical sample is 185 companies listed on the Tehran Stock Exchange, selected by the systematic elimination method from 2017 to 2023, and their information was collected. …”
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Chinese AI tool ERNIE Bot Textual Exploration of False Information by Fu Yue

“…These countermeasures can not only enhance the detection ability of AI, but also give full play to human judgement in information screening, forming a more effective disinformation prevention mechanism. …”
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FPGA Implementations for Data Encryption and Decryption via Concurrent and Parallel Computation: A Review by Abdulmajeed Adil Yazdeen, Subhi R. M. Zeebaree, Mohammed Mohammed Sadeeq, Shakir Fattah Kak, Omar M. Ahmed, Rizgar R. Zebari

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Enjeux définitionnels et scientifiques de la littératie algorithmique : entre mécanologie et rétro-ingénierie documentaire by Olivier LE DEUFF, Rayya ROUMANOS

“…The goal of algorithm literacy is to help users acquire new skills to counter the recurrent problem of opacity and biases in algorithmic processing of data and information. …”
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