Algorithmic governance and the need for consumer empowerment in data-driven markets by Stefan Larsson

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The Application of Tree-Based Algorithms on Classifying Shunting Yard Departure Status by Niloofar Minbashi, Markus Bohlin, Carl-William Palmqvist, Behzad Kordnejad

“…Although the preliminary results presented in this paper are encouraging, future studies are needed to investigate the computational performance of tree-based algorithms using larger datasets and considering additional predictors.…”
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3D Deployment Optimization of Wireless Sensor Networks for Heterogeneous Functional Nodes by Zean Lu, Chengqun Wang, Peng Wang, Weiqiang Xu

“…Simulation results demonstrate that ISBOA exhibits a faster convergence speed and higher accuracy in both the 23 benchmark functions and the newly designed multi-objective optimization problem, significantly overcoming the shortcomings of the compared algorithms. Finally, for large-scale optimization problems, a minimum spanning tree domain reduction strategy is proposed, which significantly improves solving efficiency with a moderate sacrifice in accuracy.…”
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The Evaluation of Online Education Course Performance Using Decision Tree Mining Algorithm by Yongxian Yang

“…Firstly, this paper collects the high-dimensional behavioral characteristic data of students’ online learning and conducts correlation analysis after preprocessing the behavioral characteristic data. Then, the decision tree C4.5 algorithm is used to construct a performance evaluation model. …”
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Use of CatBoost algorithm to identify the need for surgery in infants with necrotizing enterocolitis by Xinyun Jin, Xinyun Jin, Wenqiang Sun, Wenqiang Sun, Yihui Li, Yihui Li, Yinglin Su, Lingqi Xu, Lingqi Xu, Xueping Zhu

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Heart Disease Prediction Using Ensemble Tree Algorithms: A Supervised Learning Perspective by Enoch Sakyi-Yeboah, Edmund Fosu Agyemang, Vincent Agbenyeavu, Akua Osei-Nkwantabisa, Priscilla Kissi-Appiah, Lateef Moshood, Lawrence Agbota, Ezekiel N. N. Nortey

“…Therefore, early prediction and detection are critical, leading to timely and appropriate interventions at early stages. Four ensemble tree-based algorithms were used in this study: adaptive boosting, extreme gradient boosting, random forest, and extremely randomized trees, investigating their ability to predict heart disease. …”
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EFH:an online unsupervised hash learning algorithm by Zhenyu SHOU, Jiangbo QIAN, Yihong DONG, Huahui CHEN

“…Many unsupervised learning to hash algorithm needs to load all data to memory in the training phase,which will occupy a large memory space and cannot be applied to streaming data.An unsupervised online learning to hash algorithm called evolutionary forest hash (EFH) was proposed.In a large-scale data retrieval scenario,the improved evolution tree can be used to learn the spatial topology of the data.A path coding strategy was proposed to map leaf nodes to similarity-preserved binary code.To further improve the querying performance,ensemble learning was combined,and an online evolving forest hashing method was proposed based on the evolving trees.Finally,the feasibility of this method was proved by experiments on two widely used data sets.…”
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The need to differentiate at re‐engagement: lessons from South Africa and Zimbabwe's re‐engagement algorithms by Lynne S. Wilkinson, Helen Bygrave, Musa Manganye, Chiedza Mupanguri, Anna Grimsrud

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Fake News Detection Model Basing on Machine Learning Algorithms by Mohammed A. Taha, Haider D. A. Jabar, Widad K. Mohammed

“…Finally, the Logistic Regression, Decision Tree, Gradient Boosting and Random Forest algorithm has been adapted. …”
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The predictive role of identifying frailty in assessing the need for palliative care in the elderly: the application of machine learning algorithm by Zahra Nejatifar, Ahad Alizadeh, Mohammad Amerzadeh, Shideh Omidian, Sima Rafiei

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Que(e)rying artificial intelligence use for infectious disease surveillance: The need for a reparative algorithmic praxis by Elise E. Racine

“…Placing this technology within patterns of power, privilege, marginalization, and disadvantage, it interrogates how to achieve algorithmic justice for SGMs. It proposes concrete steps towards a reparative algorithmic praxis, including: (1) exploring how these systems reproduce inequalities, (2) centering sexual and gender diversity to disrupt problematic epistemic positions, and (3) combating opacity through participatory governance mechanisms. …”
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Evidence, Guidelines and Treatment Algorithms for Patients with Arterial Hypertension and Dyslipidemia: the Need for Compromise and Optimization of Tactics in Practical Healthcare by O. M. Drapkina, M. V. Ezhov, S. R. Gilyarevsky, R. N Shepel

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Calculation Method of Downstream Water Level in Non-Spilling Periods of Hydropower Stations Based on Decision Tree Classification and Multiple Linear Regression by LI Yinghai, HE Liangzhe, ZHANG Hairong, NIE Panpan, QIN Hui, YANG Qingyu, GUO Jiali

“…This method first employs the classification and regression tree (CART) algorithm, using long-series measured data from hydropower stations to establish decision tree classification rules and classify data of different operation working conditions. …”
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Virtual Display System of Geological Body Based on Key Algorithms of Three-dimensional Modelling by Wei Feng

“…In order to study the virtual display system of geological body, the key algorithm of three-dimensional modelling is used to analyze it, and the virtual display scheme of geological body is realized. …”
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LSM tree read-deletion operations optimization through the implementation of cuckoo filters by Humberto Cesar Villalta Valverde, KwangSik Kim, Kisu Kim, Jinman Kwon, Jaechoon Lim, Yongjoo Jun

“…Cuckoo filters are a perfect choice for saving space and also for deleting keys that are not needed in the algorithm so the filters are synchronized with the keys of all the SSTables. …”
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A fast video coding algorithm using data mining for video surveillance by Bingyue Xie

“…However, traditional video compression and encoding methods are often complex and time-consuming, which can hinder the real-time performance needed for effective surveillance systems. To address this challenge, we propose a novel fast coding algorithm optimized for video surveillance applications. …”
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An Assist-as-Needed Control Strategy Based on a Subjective Intention Decline Model by Hao Yan, Fangcao Zhang, Xingao Li, Chenchen Zhang, Yunjia Zhang, Yongfei Feng

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Non – Invasive, smartphone image-based screening for sickle cell disease at the point-of-need by Eudorah F. Vital, Meredith Haak LiCalzi, Robert G. Mannino, Patrick T. McGann, Wilbur A. Lam

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IOT Monitoring System for Ship Operation Management Based on YOLOv3 Algorithm by Jing Chen

“…Combined with the YOLOv3 algorithm, the Darknet network developed on the Internet of Things offers boat maintenance, design, and deployment to meet the needs of developing and implementing the Internet of Things-based ship management. …”
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Exploring the Possibilities of Implementing the ALS-Based 3-30-300 Concept for Urban Green Space Management in Small Municipalities by Krzysztof Mitelsztedt, Mariusz Ciesielski, Tomasz Hycza, Marek Lisańczuk, Kacper Guderski, Sylwia Kurpiewska, Krzysztof Korzeniewski

“…The method proposed in this study shows that the tree visibility component of the 3-30-300 concept is the most fluctuating index, and it strongly depends on the settings of the algorithm parameter, as well as on the placement of artificially generated observers. …”
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