RTL-Net: real-time lightweight Urban traffic object detection algorithm by Zhiqing Cui, Jiahao Yuan, Haibin Xu, Yamei Wei, Zhenglong Ding

“…Experimental results demonstrate that the proposed algorithm achieves a significant 43.9% reduction in parameters and an 18.9% decrease in computational complexity. …”
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Dimensionality Reduction problem: a Comprehensive Exploration of Disjoint Principal Component Analysis (DPCA) and Disjoint Multiple Correspondence Analysis (DMCA) by Mario Fordellone

“…We navigate through the intricacies of their algorithms and explore how they unveil patterns within complex datasets. …”
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A Recruiting Maneuver Algorithm in Patients with Early Acute Respiratory Distress Syndrome by D. I. Levikov, D. A. Timashkov, A. Yu. Chervov, A. V. Biryukov, S. N. Dondokov

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Pediatric head trauma algorithm for head CT decision-making in the emergency department by Gabriele Savioli, Iride Francesca Ceresa, Andrea Piccioni, Yaroslava Longhitano, Raymond Planinsic, Michele Dorfsman, Antonio Voza, Federica Manzoni, Giorgia Caputo, Abdelouahab Bellou, Luigi La Via, Christian Zanza

“…The adoption of this protocol had no negative impact on crowding, and a reduction of ED length of stay. Conclusions The adoption of the PECARNE algorithm led to fewer brain computed tomography scans with good clinical outcomes without increasing crowding.…”
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YOLOv8-EMSC: A lightweight fire recognition algorithm for large spaces by Deng Li, Tan Yang, Zhou Jin, Wu Si-qi, Liu Quan-yi

“…Many existing target detection algorithms are characterized by substantial model sizes. …”
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Optimal power flow using recent red-tailed hawk optimization algorithm by Ahmed M Nassef, Mohammad Ali Abdelkareem, Mohamed Louzazni

“…In addition, the results obtained from the suggested approach have been compared to those achieved by other modern and competitive metaheuristic optimization algorithms, such as particle swarm optimization (PSO), Coot bird's algorithm (COOT), salp swarm algorithm (SSA), Marin predator algorithm (MPA), and the jellyfish search optimizer (JSO). …”
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LSTGINet: Local Attention Spatio-Temporal Graph Inference Network for Age Prediction by Yi Lei, Xin Wen, Yanrong Hao, Ruochen Cao, Chengxin Gao, Peng Wang, Yuanyuan Guo, Rui Cao

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The Role of Artificial Intelligence in Criminal Investigations in India by Kumar Navin

“…Predictive policing algorithms can be used to predict crime hotspots, while facial recognition systems can help identify suspects in a matter of minutes rather than hours and days taken in the manual methods. …”
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Carbon reduction analysis of power system based on carbon emission flow theory: a case study of Shenzhen power grid by Yinjie Li, Ningrui Zhou, Zeqi Zhang

“…Establishing an accurate carbon measurement system has become a critical prerequisite for achieving emission reduction targets in electricity systems. Current carbon measurement methodologies exhibit notable limitations, particularly in addressing the spatiotemporal heterogeneity of carbon emission factors. …”
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A Comparative Analysis of Hyper-Parameter Optimization Methods for Predicting Heart Failure Outcomes by Qisthi Alhazmi Hidayaturrohman, Eisuke Hanada

“…This study presents a comparative analysis of hyper-parameter optimization methods used in developing predictive models for patients at risk of heart failure readmission and mortality. …”
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Network-based predictive models for artificial intelligence: an interpretable application of machine learning techniques in the assessment of depression in stroke patients by Wenwei Zuo, Xuelian Yang

“…In addition, the prediction results of the XGBoost model were interpreted in detail using the SHAP algorithm. …”
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Early prediction of cognitive impairment in adults aged 20 years and older using machine learning and biomarkers of heavy metal exposure by Ali Nabavi, Farimah Safari, Mohammad Kashkooli, Sara Sadat Nabavizadeh, Hossein Molavi Vardanjani

“…Machine learning can integrate multi-factorial data to predict cognitive outcomes. Objective: To develop and validate machine learning models for early prediction of cognitive impairment risk using demographics, clinical factors, and biomarkers of heavy metal exposure. …”
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Evaluation of Time-Domain Acoustic Signature in TIG Welding of 5083 Aluminum Alloy: A Methodological Comparison of Feature Reduction Approaches by V M Gautham, A Sumesh, E V Jithin, K Rameshkumar, Dinu Thomas Thekkuden

“…In this scenario, condition monitoring of the weld using machine learning algorithms is a remedy to detect the defects instantly. …”
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Missile IGC Based on Improved Model Predictive Control and Sliding Mode Observer by Li Ma, Jiayuan Shan, Junhui Liu, Yan Ding

“…This paper presents a disturbance rejection model predictive control algorithm for missile integrated guidance and control (IGC). …”
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A Predictive Model for Secondary Posttonsillectomy Hemorrhage in Pediatric Patients: An 8‐Year Retrospective Study by Yuting Ge, Wenchuan Chang, Lixiao Xie, Yan Gao, Yue Xu, Huie Zhu

“…Multivariate logistic regression and seven machine learning algorithms were used to construct predictive models. …”
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Machine learning model for predicting in-hospital cardiac mortality among atrial fibrillation patients by Huasheng Lv, Xuehua Bi, Shuai Shang, Meng Wei, Xianhui Zhou, Kai Wang, Baopeng Tang, Yanmei Lu

“…Abstract This study developed and validated a machine learning (ML) model to predict in-hospital cardiac mortality in 18,727 atrial fibrillation (AF) patients using electronic medical record data. …”
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Cooperative predictive control for arbitrarily mixed vehicle platoons with guaranteed global optimality by Jingyuan Zhan, Zhen Hua, Liguo Zhang

“…An alternating direction method of multipliers (ADMM) based distributed model predictive control (DMPC) algorithm is proposed for CAVs to lead the mixed vehicle platoon travelling in a string with anticipated inter‐vehicle spacing and a desired velocity. …”
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Visualization of Learning Process in Feature Space by Tomohiro Inoue, Noboru Murata, Taiki Sugiura

“…Therefore, we can deepen our understanding of learning algorithms if we can visualize changes in the structure of feature space during the learning process. …”
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A Simplified Predictive Control of Constrained Markov Jump System with Mixed Uncertainties by Yanyan Yin, Yanqing Liu, Hamid R. Karimi

“…A simplified model predictive control algorithm is designed for discrete-time Markov jump systems with mixed uncertainties. …”
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Neural Network Identification-Based Model Predictive Heading Control for Wave Gliders by Peng Jin, Baolin Zhang, Yun Zhang

“…This paper deals with the neural network identification-based model predictive heading control problem in a wave glider. …”
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