Destination-Aware Time-Constrained Task Allocation in Mobile Crowdsensing for Orienteering Application by Xia Hua, Lei Han

“…Then, we extend the PR-DEPQ to multi-user task allocation scenario and present a multi-user path reconnection algorithm based on sensing value priority (MUPR). Extensive simulation results show the higher performance of our proposed MUPR as compared with the existing baseline algorithms.…”
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Optimization strategies for public health education based on ISSA and information system technology by Zhanyu Ye, Yifei Li, Yan Zhang

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Confidential Intelligent Traffic Light Control System: Prevention of Unauthorized Traceability by Ahmad Audat, Maram Bani Younes, Marah Yahia, Said Ghoul

“…Many research studies have designed intelligent traffic light scheduling algorithms. …”
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Development of an integrated reactor model package for optimizing the operating modes of the sulfur production unit by Batyr Orazbayev, Nazgul Kurbangaliyeva, Kulman Orazbayeva, Ainur Zhumadillayeva, Xiaoguang Yue

“…The paper proposes a concept for developing a model package of interconnected units for technologically fuzzy systems and describes the implementation algorithm of the proposed concept. Based on this algorithm, hybrid models of interconnected reactors in the sulfur production unit at the Atyrau refinery were developed, consisting of statistical, fuzzy, and linguistic models. …”
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Experiential space analysis: scoring tranquil, social, and explorative places in habitable buildings by Rhys Goldstein, Nastaran Shahmansouri, Jeremy P. M. Mogk, Sebastian Herrera, Dianne Gault, Frederik Brudy, Michael Lee, Liviu Calin, Tomas Lay Herrera, Dagmara Szkurlat, Kean Walmsley

“…We observe that human evaluators tend to assume relatively uniform experiential qualities within each space of each apartment, whereas our algorithm often predicts a gradient of highly tranquil, social, and explorative places even within the same room. …”
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Transfer Probability-Based Job Reallocation Method for Heterogeneous Edge Clouds by Kohei Ogawa, Sumiko Miyata, Kenji Kanai

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Landslide and Collapse Susceptibility Analysis in Wenchuan Earthquake-damaged Area Based on Ensemble Learning Methods by DING Jiawei, WANG Xiekang

“…Then, two advanced ensemble learning algorithms (XGBoost and LightGBM) were applied alongside two traditional algorithms (logistic regression and random forest) to construct landslide and collapse susceptibility assessment models for Wenchuan County. …”
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Automated Machine Learning for Optimized Load Forecasting and Economic Impact in the Greek Wholesale Energy Market by Nikolaos Koutantos, Maria Fotopoulou, Dimitrios Rakopoulos

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A novel variable neighborhood search approach for cell clustering for spatial transcriptomics by Aleksandra Djordjevic, Junhua Li, Shuangsang Fang, Lei Cao, Marija Ivanovic

“…Our validation showed the superior performance of our method when compared to existing techniques. Our approach advances current clustering methodologies and can potentially be applied to several fields, from biomedical research to spatial data analysis. …”
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Swedish regional population-based organised prostate cancer testing: why, what and how? by Ola Bratt, Salma Tunå Butt, Charlotte Carlsson, Lisa Jelf-Eneqvist, Olof Gunnarsson, Alma Ihre, Thomas Jiborn, Anna Lantz, Heide Larsson, Helena Strömqvist, Johan Styrke, Nils-Erik Svedberg, Rebecka Arnsrud Godtman

“… Objective: This study aimed to describe the regional, population-based, organised prostate cancer testing (OPT) programmes that are being introduced throughout Sweden: motives, structure, target population, diagnostic algorithm, quality control, outcomes, research, and future perspectives. …”
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Modification of Haessler’s sequential heuristic procedure for the one-dimensional cutting stock problem with setup cost by Mateus Martin, Antonio Moretti, Marcia Gomes-Ruggiero, Luiz Salles Neto

“…Main findings In the computational experiments, we demonstrate the effectiveness of the algorithm with two sets of benchmark instances by comparing it with other approaches, and obtaining better solutions for some scenarios. …”
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Assessment of the impact of a new sequential approach to antimicrobial use in young febrile children in the emergency department (DIAFEVERCHILD): a French prospective multicentric... by Elsa Tavernier, Elise Launay, Christèle Gras Le Guen, Gaelle Hubert, Cécile Feildel Fournial, Anne Chauvire-Drouard, Fleur Lorton

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Discriminator guided visible-to-infrared image translation by Decao Ma, Juan Su, Yong Xian, Shaopeng Li

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A selective approach to human age estimation: a case study of cranial suture closure methods by Shirobokov I.G.

“…Estimates generated by the algorithm from primary data collected by different researchers also show a good level of interobserver agreement.…”
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Safety of creatine supplementation: a scientometrics analysis on the impact of the ‘Creatine For Health’ initiative and introduction to CREAS by Diego A. Bonilla, Drew E. Gonzalez, Gustavo Humeres, Jisun Chun, Kelly Hines, Adriana Gil, Richard B. Kreider

“…We employed supervised machine learning for sentiment analysis to detect and classify subjective content, using the SentiStrength algorithm within the Academic Research version of Mozdeh software. …”
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A Review of Various Machine Learning Techniques and its Application on IoT and Cloud Computing by Hardi Sabah Talabani, Ihsan Hamza Jumaa

“…The study offers a comparative analysis of the application of different ML and deep learning algorithms. …”
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Exploring the Causality of Accident Severity on Mountainous Freeways With a Two-Stage Approach by Lingzhi Kong, Changan Xiong, Wenchen Yang, Weiliang Zeng

“…Initially, a Gaussian mixture clustering algorithm is developed to categorize accident severity. …”
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Cooperative Terrain-Based GNSS-Denied Navigation With Particle Filter by Ziya Uygar Yengin, Emre Koyuncu

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Optimal Design and Dynamic Performance Analysis of Vehicle Suspension Employing an Eccentric Inerter by Chengqun Qiu, Ang Chen, Yuqiu Xu, Yujie Shen

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Artificial neural networks for predicting first-lactation 305-day milk yield in crossbred cattle by SM Usman, A Kumar, A Sherasiya, IM Youssef, MM Abo Ghanima, J Chandrakar, R Tiwari, NP Singh, QS Sahib, T Dutt, AA Swelum

“…The ANN was trained using a backpropagation algorithm based on Bayesian regularisation, and the algorithm was tested using four sets of training and test data at ratios of 66.67:33.33, 75:25, 80:20, and 90:10. …”
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