Detective Gadget: Generic Iterative Entity Resolution over Dirty Data by Marcello Buoncristiano, Giansalvatore Mecca, Donatello Santoro, Enzo Veltri

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Mortality Risk Prediction in Patients With Antimelanoma Differentiation–Associated, Gene 5 Antibody–Positive, Dermatomyositis–Associated Interstitial Lung Disease: Algorithm Develo... by Hui Li, Ruyi Zou, Hongxia Xin, Ping He, Bin Xi, Yaqiong Tian, Qi Zhao, Xin Yan, Xiaohua Qiu, Yujuan Gao, Yin Liu, Min Cao, Bi Chen, Qian Han, Juan Chen, Guochun Wang, Hourong Cai

“…The primary endpoint was 3-month mortality due to all causes. Six ML algorithms (Extreme Gradient Boosting [XGBoost], logistic regression (LR), Light Gradient Boosting Machine [LightGBM], random forest [RF], support vector machine [SVM], and k-nearest neighbor [KNN]) were applied to construct and evaluate the model. …”
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Development and validation of a prediction model for coronary heart disease risk in depressed patients aged 20 years and older using machine learning algorithms by Yicheng Wang, Yicheng Wang, Yicheng Wang, Chuan-Yang Wu, Hui-Xian Fu, Jian-Cheng Zhang, Jian-Cheng Zhang, Jian-Cheng Zhang

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Microcomputed tomography as a diagnostic tool for detection of lymph node metastasis in non-small cell lung cancer: A decision-support approach for pathological examination “A pilo... by Ayten Kayı Cangır, Süleyman Gökalp Güneş, Kaan Orhan, Hilal Özakıncı, Yusuf Kahya, Duru Karasoy, Serpil Dizbay Sak

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Automated Syndesmotic Distance, Area, and Volume Measurements Using 3D Segmentations of Weightbearing Computed Tomography Scans by Samir Ghandour MD, Alireza Gholipour PhD, Daniel Guss MD, MBA, Gregory R. Waryasz MD, Lorena Bejarano-Pineda MD, John Y. Kwon MD, Christopher W. DiGiovanni MD, Soheil Ashkani-Esfahani MD

“…This validation study aims to develop and evaluate the reliability of an automated algorithm that automatically segments WBCTs of the ankle and performs dimensional measurements. …”
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Intelligent optimization method for hazardous materials transportation routing with multi-mode and multi-criterion collaborative constraints by Fan Chen, Qing Zhu

“…In response to this, a method for multi-mode transportation network and multi-criterion route optimization is proposed. Initially, A three-objective integer programming model is formulated, and an improved multi-objective genetic algorithm, termed DSNSGA3, is introduced to aid in decision-making. …”
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Application of Reinforcement Learning in Controlling Quadrotor UAV Flight Actions by Shang-En Shen, Yi-Cheng Huang

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Diagnosis of Non-Tumor Stenosing Lesions of the Major Duodenal Papilla Using Endoscopic Ultrasonography by V. A. Belozerov, O. I. Okhotnikov, N. A. Korenevskiy, V. A. Prokopov, S. N. Grigoriev, S. M. Shevyakin

“…A therapeutic and diagnostic algorithm for the management of patients with dilation of the common bile duct has been introduced into clinical practice, based on the developed criteria for stenosis of the major duodenal papilla (MDP), for which endoscopic ultrasonography was used in combination with the methodology of synthesis of hybrid fuzzy decision rules.The algorithm was implemented in a group of patients, which included 217 people.Results. …”
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Improved LDPC-based short-range frequency-hopping wireless communication system by Wei-dong FANG, Wu-xiong ZHANG, Ming-ming HU, Wei CHEN, Yang YANG

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Enhancing cotton irrigation with distributional actor–critic reinforcement learning by Yi Chen, Meiwei Lin, Zhuo Yu, Weihong Sun, Weiguo Fu, Liang He

“…This study introduces a novel intelligent irrigation approach based on distributional reinforcement learning, ensuring that the algorithm simultaneously considers weather, soil, and crop conditions to make optimal irrigation decisions for long-term benefits. …”
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Study on privacy preserving encrypted traffic detection by Xinyu ZHANG, Bingsheng ZHANG, Quanrun MENG, Kui REN

“…Existing encrypted traffic detection technologies lack privacy protection for data and models, which will violate the privacy preserving regulations and increase the security risk of privacy leakage.A privacy-preserving encrypted traffic detection system was proposed.It promoted the privacy of the encrypted traffic detection model by combining the gradient boosting decision tree (GBDT) algorithm with differential privacy.The privacy-protected encrypted traffic detection system was designed and implemented.The performance and the efficiency of proposed system using the CICIDS2017 dataset were evaluated, which contained the malicious traffic of the DDoS attack and the port scan.The results show that when the privacy budget value is set to 1, the system accuracy rates are 91.7% and 92.4% respectively.The training and the prediction of our model is efficient.The training time of proposed model is 5.16 s and 5.59 s, that is only 2-3 times of GBDT algorithm.The prediction time is close to the GBDT algorithm.…”
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Enhancing Pest Detection: Assessing Tuta absoluta (Lepidoptera: Gelechiidae) Damage Intensity in Field Images through Advanced Machine Learning by Edwin Lewıs, Atilla Erdinç, Yavuz Selim Şahin, Alperen Kaan Bütüner, Hilal Erdoğan

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Optimal ecological restoration strategy development based on value-cost trade-offs by Yunxuan Liu, Cui Zhang, Miaomiao Xie, Jingyi Xie

“…The results of this study revealed that 46 ecological barriers were identified as priority ecological restoration areas in Huanghua, mainly for cropland and construction land. Three optimal ecological restoration strategies with high valuecost ratio, high ecological value, and low implementation cost were proposed for typical ecological restoration priority areas for different decision-making needs. …”
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Collaborative Optimization Strategy for Dependent Task Offloading in Vehicular Edge Computing by Xiting Peng, Yandi Zhang, Xiaoyu Zhang, Chaofeng Zhang, Wei Yang

“…The task-offloading problem is modeled as a Markov Decision Process, and an improved twin-delayed deep deterministic policy gradient algorithm, LT-TD3, is introduced to enhance the decision-making process. …”
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Surrogate-Assisted Multi-Objective Optimization for Simultaneous Three-Dimensional Packing and Motion Planning Problems Using the Sequence-Triple Representation by Ziang Liu, Tomoya Kawabe, Tatsushi Nishi, Shun Ito, Tomofumi Fujiwara

“…This framework comprises three key components: solution encoding, surrogate modeling, and evolutionary computation. …”
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Automated Detection of the Kyphosis Angle Using a Deep Learning Approach: A Cross-Sectional Study on Young Adults by Onur Kocak, Cansel Ficici, Ilknur Ezgi Dogan, Ziya Telatar, Nihan Ozunlu Pekyavas

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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

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Using data science to diagnose and characterize heterogeneity of Alzheimer's disease by Ting F.A. Ang, Ning An, Huitong Ding, Sherral Devine, Sanford H. Auerbach, Joseph Massaro, Prajakta Joshi, Xue Liu, Yulin Liu, Elizabeth Mahon, Rhoda Au, Honghuang Lin

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Size Classification of Chopped Carbon Fibers in the Composite Materials Manufacturing by А.S. Dovbysh, А.F. Budnik, N.І. Andriienko

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Panel Method for 3D Inviscid Flow Simulation of Low-Pressure Compressor Rotors with Tip-Leakage Flow by Valentin Caries, Jérôme Boudet, Eric Lippinois

“…This paper presents a low-order three-dimensional approach for predicting the inviscid flow around low-pressure compressors. …”
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