Usage, anti-inflammatory effect and safety of adjunctive acupuncture for cerebral infarction: an Apriori algorithm-based data mining and meta-analysis by Fangfei Yu, Shuang Li, Zunjiang Li, Zunjiang Li, Zunjiang Li, Zhaofan Mo, Rong Liu, Jiaying Zhao, Banghan Ding, Banghan Ding, Wei Yi, Wei Yi, Nenggui Xu, Nenggui Xu

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Development of a prediction model for acute respiratory distress syndrome in ICU patients with acute pancreatitis based on machine learning algorithms by REN Xia*，LIU Luojie，ZHA Junjie，YE Ye，XU Xiaodan，YE Hongwei，ZHANG Yan

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Research on the Construction of Event Evolutionary Graph for Urban Rail Transit Train Operation and Maintenance Safety by FAN Qianqi, ZUO Jianyong, GONG Ming, JIA Bo, LI Zhengjiang

“…In the event extraction stage, a professional dictionary of urban rail is constructed and trigger word rules are designed; in the event relationship extraction stage, semantic dependency and sequential relationship are combined; in the event evolutionary alignment stage, an optimized clustering algorithm is used to define the main risk factors. …”
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Implementation of K-Means clustering on student learning achievements based on social economic and social related by Hotmaida Lestari Siregar, Rahma Hidayanthi, Air Langga Dewa Sakti

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Optimum Design Research on the Link Mechanism of the JP72 Lifting Jet Fire Truck Boom System by Guo Tong, Wang Jiawen, Liang Yingnan, Peng Buyu, Liu Tao, Liu Yiqun

“…The fmincon function was used to realize the sequential quadratic programming (SQP) algorithm, which is one of the most effective methods to solve the constrained nonlinear optimization problems, for the optimal design. …”
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A Novel Algorithm for a Low-Cost, Curvature-Continuous Smooth Path with Multiple Constraints on a Cost-Assigned Flat Map by Xu Du, Lu Yang

“…In the second stage, which builds on the previous stage and processes landmark points sequentially, the key points of the path are generated using our proposed Smooth Beacon Reconnection (SBR) algorithm. …”
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Optimization of soil hydraulic parameters within a constrained sampling space by Meijun Li, Wei Shao, Wenjun Yu, Ye Su, Qinghai Song, Yiping Zhang, Hongkai Gao, Yonggen Zhang, Jianzhi Dong

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Estimation of chlorophyll-a in uncrewed aircraft systems imagery using autonomous surface vessel data with machine learning algorithms and feature selection techniques by Mohammad Shakiul Islam, Padmanava Dash, Abduselam M. Nur, Hafez Ahmad, Rajendra M. Panda, Jessica S. Wolfe, Gray Turnage, Lee Hathcock, Gary D. Chesser, Jr, Robert J. Moorhead

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Methodology for determining and controlling the load capacity of integrated circuits by Gennady P. Shopin, Alina A. Denisyuk, Mikhail N. Piganov

“…It includes a model, a control device and an algorithm for its functioning. A well-known model was used, which was adapted to specific development and research tasks. …”
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Deep-m6Am: a deep learning model for identifying N6, 2′-O-Dimethyladenosine (m6Am) sites using hybrid features by Islam Uddin, Salman A. AlQahtani, Sumaiya Noor, Salman Khan

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A Feasibility Study of Broadband White Light Emitting Diode (WLED) Based Full-Field Optical Coherence Microscopy (FF-OCM) Using Derivative-Based Algorithm by Tulsi Anna, Ting-Wei Chang, Chih-Ming Lai, Arthur Chiou, Wen-Chuan Kuo

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Additional Treatments to the Local tumour for metastatic prostate cancer-Assessment of Novel Treatment Algorithms (IP2-ATLANTA): protocol for a multicentre, phase II randomised con... by Francesca Fiorentino, Iqbal Shergill, John McGrath, Manal Kumar, Martin John Connor, Taimur Tariq Shah, Katarzyna Smigielska, Emily Day, Johanna Sukumar, Naveed Sarwar, Michael Gonzalez, Alison Falconer, Natalia Klimowska-Nassar, Martin Evans, Olivia Frances Naismith, Kamalram Thippu Jayaprakash, Derek Price, Shiva Gayadeen, Dolan Basak, Gail Horan, Denise Sheehan, Azman Ibrahim, Cathryn Brock, Rachel A. Pearson, Nicola Anyamene, Catherine Heath, Bhavan Rai, Giles Hellawell, Stuart McCracken, Bijan Khoubehi, Stephen Mangar, Vincent Khoo, Tim Dudderidge, John Nicholas Staffurth, Mathias Winkler, Hashim Uddin Ahmed

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Path Planning for Rapid DEDAM Processing Subject to Interpass Temperature Constraints by Glenn W. Hatala, Edward W. Reutzel, Qian Wang

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Mitigating Dead Node Impact on Coverage and Connectivity in Wireless Sensor Networks Using a Hybrid Approach by Omeed K. Khorsheed

“…This research introduces a hybrid Artificial Bee Colony-Sequential Re-connectivity and Coverage Algorithm (ABC-SRCA) approach, combining the ABC algorithm with a developed SRCA. …”
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Development and validation of an interpretable machine learning model for retrospective identification of suspected infection for sepsis surveillance: a multicentre cohort studyRes... by Renée A.M. Tuinte, Luuk P.J. Smolenaers, Bram T. Knoop, Konstantin Föhse, Tamar J. van der Aart, Hjalmar R. Bouma, Mihai G. Netea, Katrijn Van Deun, Jaap ten Oever, Jacobien J. Hoogerwerf

“…Including the inflammatory response in the suspected infection surveillance definition may enhance the accuracy and objectivity of sepsis surveillance. Future research is needed to validate the algorithm using other organ dysfunction criteria and in international settings. …”
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Design of Ricker Wavelet Neural Networks for Heat and Mass Transport in Magnetohydrodynamic Williamson Nanofluid Boundary-Layer Porous Medium Flow with Multiple Slips by Zeeshan Ikram Butt, Muhammad Asif Zahoor Raja, Iftikhar Ahmad, Muhammad Shoaib, Rajesh Kumar, Syed Ibrar Hussain

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Enhancing Privacy in IoT Networks: A Comparative Analysis of Classification and Defense Methods by Ahmet Emre Ergun, Ozgu Can, Murat Kantarcioglu

“…Therefore, the study examines privacy risks associated with sequential IoT device data and evaluates the effectiveness of ML algorithms using two datasets. …”
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Designing an Adaptive Velocity Obstacle Avoidance System for Autonomous Mars Rover Navigation in Dynamic Terrains by Karim Ahmadi Dastgerdi, SeyedehMarziyeh SalehiGhahfarokhi, Sadegh Ahmadi Dastgerdi

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Improving machine learning models through explainable AI for predicting the level of dietary diversity among Ethiopian preschool children by Gizachew Mulu Setegn, Belayneh Endalamaw Dejene

“…The data were preprocessed to obtain quality data that are suitable for the ensemble ML algorithms to develop a model. We applied filter (chi-square and mutual information) and wrapper (sequential backwards) feature selection methods to identify the most influential factors for dietary diversity (DD). …”
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Predicting Landing Position Deviation in Low-Visibility and Windy Environment Using Pilots’ Eye Movement Features by Xiuyi Li, Yue Zhou, Weiwei Zhao, Chuanyun Fu, Zhuocheng Huang, Nianqian Li, Haibo Xu

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