Development and Internal Validation of Machine Learning Algorithms for Predicting Subsequent Contralateral Slipped Capital Femoral Epiphysis in Patients With Unilateral Slips by David P. VanEenenaam, Jr., BS, Carter Hall, BS, Daniel A. Maranho, MD, PhD, Christopher J. DeFrancesco, MD, Eduardo N. Novais, MD, Wudbhav N. Sankar, MD

“…Machine learning (ML) algorithms can be leveraged to identify complex, nonlinear patterns in data and allow for more accurate predictions on which patients may need a prophylactic pin. …”
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Architectural design visual information mining system based on image processing technology by Pan Junyu

“…Image processing technology mainly uses computer algorithms to collect images, thereby converting these images into digital signals that can be recognized by a computer, and then displaying them on a computer display. …”
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Research on the Stability Prediction and Optimization of CNC Milling Based on Bagging–NSGAⅡ Under the Influence of Multiple Factors by Congying DENG, Qian YOU, Yang ZHAO, Lijun LIN, Guofu YIN

“…The stability of milling depends mainly on the process parameters and the dynamic characteristics of the tool–workpiece system; however, the system dynamics vary with the machining position and tool properties. …”
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Medical Multimedia Image Analysis of Scoliosis in Children Aged 3–7 Years Based on Adaptive Multiobjective Differential Evolution Algorithm by Chunxiang Huang

“…Scoliosis is mainly caused by the spinal column deviating from its centerline during the growth process. …”
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Design of multi-innovation hierarchical fractional adaptive algorithm for generalized bilinear-in-parameter system using the key term separation principle by Yancheng Zhu, Huaiyu Wu, Zhihuan Chen, Zhenhua Zhu, Yang Chen, Xiujuan Zheng

“…Abstract This paper mainly studies the issue of fractional parameter identification of generalized bilinear-in-parameter system(GBIP) with colored noise. …”
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Advanced internet of things enhanced activity recognition for disability people using deep learning model with nature-inspired optimization algorithms by Mohammed Maray

“…In this manuscript, an Enhanced Activity Recognition for Disability People Using a Deep Learning Model and Nature-Inspired Optimization Algorithms (EARDP-DLMNOA) model is proposed. The EARDP-DLMNOA model mainly relies on improving the activity recognition model using advanced optimization algorithms. …”
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Predicting CO₂ Emissions with Advanced Deep Learning Models and a Hybrid Greylag Goose Optimization Algorithm by Amel Ali Alhussan, Marwa Metwally, S. K. Towfek

“…Transitioning to recurrent neural network architectures, mainly BIGRU, enabled the modeling of sequential dependence on emissions data. …”
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Do Deep Learning Algorithms Accurately Segment Intracerebral Hemorrhages on Noncontrast Computed Tomography? A Systematic Review and Meta‐Analysis by Diana Zarei, Mahbod Issaiy, Shahriar Kolahi, David S. Liebeskind

“…This study conducts a comprehensive systematic review and meta‐analysis to evaluate the precision of deep learning algorithms in delineating ICH on noncontrast computed tomography. …”
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Genetic Algorithm for Optimizing Urban District and Block Morphology to Minimize Solar Radiation Access and Maximize Building Floor Area in the UAE by Hanan M. Taleb, Mays Kayed, Fuad Baba

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To Determine the Risk-Based Screening Interval for Diabetic Retinopathy: Development and Validation of Risk Algorithm from a Retrospective Cohort Study by Jinxiao Lian, Ching So, Sarah Morag McGhee, Thuan-quoc Thach, Cindy Lo Kuen Lam, Colman Siu Cheung Fung, Alfred Siu Kei Kwong, Jonathan Cheuk Hung Chan

“…This study aimed to develop a risk algorithm to predict the individual risk of referable sight-threatening diabetic retinopathy (STDR) in a mainly Chinese population and to provide evidence for risk-based screening intervals. …”
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Modeling of turbulent fluid flow based on the solution of the Mathieu equation by V. V. Garbuzov, A. P. Preobrazhensky

“…This work examines the problem of fluid flow simulation in a turbulent regime. The main reasons why turbulent flow occurs are due to the existence of high velocities of movement in fluids; besides that, there may be obstacles or changes in the shapes of flows. …”
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A prototype-based rockburst types and risk prediction algorithm considering intra-class variance and inter-class distance of microseismic data by Xiufeng Zhang, Guoying Li, Yang Chen, Hao Wang, Haikuan Zhang, Haitao Li, Weisheng Du, Xiao Li, Xuewei Xu, Yuze He

“…The results show that the distribution features may be different for the same type of microseismic (MS) and rockburst events, and different types of events may show similar distribution features. …”
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Treatment-prognostication-adjustment a new therapeutic idea by analyzing T cell immune checkpoint in tumor microenvironment by algorithm: A bibliometric analysis by Shiwei Ma, Xin Wu, Zhongguang Wu, Qiangqiang Zhao

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Advanced genetic algorithm (GA)-independent component analysis (ICA) ensemble model for predicting trapped humans through hybrid dimensionality reduction by Enoch Adama Jiya, Ilesanmi B. Oluwafemi

“…The collapse of man-made structures, which frequently bury people beneath rubble, is one of the main causes of death worldwide. Natural disasters and human inefficiency, degradation, and decay are the main causes of this. …”
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Validation of a deep learning–based AI system for HER2-targeted breast cancer assessment using ultrasound imaging in a clinical setting by Kathryn Malherbe

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NVH Analysis and Optimization of Light Truck Electric Drive Axles Based on Romax by Hao Yingbo, Liu Lidong

“…In order to find out the main cause of howling and carry out optimization lifting, the method of combining experiment with simulation was adopted. …”
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DEVELOPMENT OF SOFTWARE FOR THE CALCULATION OF THE OPTIMUM PROFILE OF THE WATER DRAIN FRONT OF THE DAM ON OF NON-ROCK FOUNDATION by Z. A. Kurbanova

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High-resolution 2D-DoA sequential algorithm of azimuth and elevation estimation in automotive distributed system of coherent MIMO radars by I. V. Artyukhin

“…Algorithms must be developed to provide high angular resolution and low computational complexity. …”
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Application of machine learning algorithms in osteoporosis analysis based on cardiovascular health assessed by life’s essential 8: a cross-sectional study by Haolin Shi, Yangyi Fang, Xiuhua Ma

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Method for assisted-GPS positioning based on ambiguity resolution in weak signal environment by SONG Cheng, WANG Fei-xue, ZHUANG Zhao-wen

“…An assisted-GPS positioning algorithm was proposed.Based on this algorithm, the receiver needn’t accomplish the bit synchronization, frame synchronization and navigation data demodulation, which were usually necessary for the conventional GPS receiver, it could implement the positioning solution only by the measurement of pseudo-code phase and the assistance data（including ephemeris information and satellite clock corrections etc.）.Compared with the conventional GPS positioning algorithm, the proposed algorithm increases the ambiguity of the signal transmission time as an unknown parameter for the pseudorange equation.When the initial errors of approximate location and receiver’s clock bias were subjected to a constraint domain, the ambiguity of the signal transmission time could be eliminated.Then, the iteratively equation for this algorithm was derived, and the main steps were summarized.The simulation results show the validity of the algorithm.…”
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