Improving the Predictive Accuracy of the National Early Warning Score 2: Protocol for Algorithm Refinement by Chris Plummer, Cen Cong, Madison Milne-Ives, Lynsey Threlfall, Peta Le Roux, Edward Meinert

“…Improved accuracy in the early detection of deterioration can lead to timely interventions, potentially reducing mortality and adverse clinical events. The enhanced algorithm also has the potential to be integrated into existing clinical decision support systems to facilitate health care professionals’ decision-making. …”
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Implementation of Parallel K-Means Algorithm to Estimate Adhesion Failure in Warm Mix Asphalt by Mohammad Nishat Akhtar, Waseem Ahmed, Muhammad Rafiq Kakar, Elmi Abu Bakar, A. R. Othman, Moises Bueno

“…Therefore, the execution time of the image processing algorithm is also an essential aspect of quality. This manuscript proposes a parallel k means for image processing (PKIP) algorithm using multiprocessing and distributed computing to assess the adhesion failure in WMA and HMA samples subjected to three different moisture sensitivity tests (dry, one, and three freeze-thaw cycles) and fractured by indirect tensile test. …”
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Machine learning algorithm based on combined clinical indicators for the prediction of infertility and pregnancy loss by Rui Zhang, Yuanbing Guo, Xiaonan Zhai, Juan Wang, Xiaoyan Hao, Liu Yang, Lei Zhou, Jiawei Gao, Jiayun Liu

“…The model for potential pregnancy loss was also developed using five machine learning algorithms and was based on 7 indicators. …”
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DEVELOPMENT AND EXPERIMENTAL VERIFICATION OF THE SELF-ADJUSTMENT ALGORITHM OF THE OGSH LOAD LIMITER FOR BRIDGE CRANES by V. A. Roshchin, S. D. Ivanov, N. L. Mikhalchik

“…Moreover, the settlement algorithm is realized and the OGSh device is programmed according to such settlement algorithm. …”
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Modelling and Simulation of Perturb and Observe MPPT Algorithm Based on The PI Controller for Photovoltaic System by Ahlam Mohamad Shakoor, Hersh Hasan Taha

“…DC to DC boost converter with perfect performance and high voltage gain is also successfully simulated on the developed PV system.   …”
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A Novel Nature-Inspired Optimization Algorithm: Grizzly Bear Fat Increase Optimizer by Moslem Dehghani, Mokhtar Aly, Jose Rodriguez, Ehsan Sheybani, Giti Javidi

“…This paper introduces a novel nature-inspired optimization algorithm called the Grizzly Bear Fat Increase Optimizer (GBFIO). …”
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Augmented secretary bird optimization algorithm for wireless sensor network deployment and engineering problem. by Qingwen Meng, Xi Kuang, Zihan Yu, Minghui He, Hanzhi Cui

“…This study develops an enhanced Secretary Bird Optimization Algorithm (ASBOA) based on the original Secretary Bird Optimization Algorithm (SBOA), aiming to further improve the solution accuracy and convergence speed for wireless sensor network (WSN) deployment and engineering optimization problems. …”
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Compare of Transient Quality in Automatic Control Systems with Classic PID Algorithm and Optimal Regulator by G. T. Kulakov, K. I. Artsiomenka

“…Currently, about 90–95% of generic controllers use the PID algorithm to generate control actions, while 64% of the PID controllers are used in single-circuit automatic control systems. …”
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Optimization Design Method of Pipe-Insulating Joints Based on Surrogate Model and Genetic Algorithm by Chen Guo, Zheng Yang, Jianbo Dong, Yanchao Yue, Linjun Tian, Ping Ma

“…This study also provides examples verifying the accuracy and reliability of the surrogate model and genetic algorithm. …”
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Efficient Pathfinding on Grid Maps: Comparative Analysis of Classical Algorithms and Incremental Line Search by Amr Elshahed, Majid Khan Bin Majahar Ali, Ahmad Sufril Azlan Mohamed, Farah Aini Binti Abdullah, Ts. Lee Jian Aun

“…However, these algorithms can be computationally inefficient in large-scale or real-time environments. …”
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Geometrical optimization of PWR spacer grids using GeN-Foam and Genetic Algorithms by Carlos Rodrigo Dias, Tiago Augusto Santiago Vieira, Andre Augusto Campagnole dos Santos, Graiciany de Paula Barros, Vitor Vasconcelos Araújo Silva, Ana Luiza Miranda Froes, Rebeca Cabral Gonçalves, Keferson de Almeida Carvalho, Higor Fabiano Pereira de Castro

“…After GeN-Foam was assessed, optimization was performed on subchannels of a fuel assembly using Genetic Algorithms (GA), evaluating the influence of geometric parameters of the spacer grids to minimize pressure drop and maximize secondary flow. …”
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Assessing the Validity of Computerized Algorithms for Determining Pulse Wave Velocity: A Clinical Study by Amira Tairi, Hasan Obeid, Saliha Addour, Mark Butlin, Alberto P. Avolio, Catherine Fortier, Mohsen Agharazii

“…However, these devices also differ by signal acquisition technology, signal filtering, and quality control algorithms, making the true contribution of analytical algorithms uncertain. …”
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Deep Learning-Based Feature Matching Algorithm for Multi-Beam and Side-Scan Images by Yu Fu, Xiaowen Luo, Xiaoming Qin, Hongyang Wan, Jiaxin Cui, Zepeng Huang

“…To address this issue, this paper proposes a feature matching network based on the LoFTR algorithm, utilizing the intermediate layers of the ResNet-50 network to extract shared features between the two types of images. …”
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Risk of AI Algorithmic Discrimination Embedded in Government Data Governance and Its Prevention and Control by PENG Lihui, ZHANG Qiong, LI Tianyi

“…[Purpose/Significance] The purpose of this study is to provide an in-depth analysis of the widespread application of artificial intelligence (AI) technology in the field of government data governance and its far-reaching implications, with a particular focus on the core issue of algorithmic discrimination. With the rapid development of AI technology, it has demonstrated great potential in government decision support, public service optimization, and policy impact prediction, but it has also sparked extensive debate on issues such as algorithmic bias, privacy invasion, and fairness. …”
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Thermal Runaway Warning of Lithium Battery Based on Electronic Nose and Machine Learning Algorithms by Zilong Pu, Miaomiao Yang, Mingzhi Jiao, Duan Zhao, Yu Huo, Zhi Wang

“…In this work, an integrated model that makes the classification stage results one of the feature inputs for the concentration regression stage was employed, successfully reducing the RMSE of the concentration regression results. In addition, we also explored the influence of the selection of the response time length on the classification and regression tasks, achieving the best results in a short time through the optimum algorithm. …”
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Dynamic niche technology based hybrid breeding optimization algorithm for multimodal feature selection by Ting Cai, Fan Ma, Zhiwei Ye, Wen Zhou, Mingwei Wang, Qiyi He, Hu Pan, Jun Shen

“…Abstract As a primary approach to address feature selection problems, evolutionary algorithms have been widely proposed to deal with the problem. …”
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EPS Current Tracking Method Research Based on Hybrid Sensitivity H∞ Control Algorithm by Hairong Wu, Guangfei Xu, Jian Wu, Xue Han, Jiwei Feng, Shifu Liu, Linglong Bu

“…The traditional H∞ control algorithm can solve the system uncertainty theoretically, but it cannot solve the contradiction between robustness and performance without considering the performance of the system. …”
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Optimizing Solid Oxide Fuel Cell Performance Using Advanced Meta-Heuristic Algorithms by Siva Ram Rajeyyagari, Srinivas Nowduri

“…The main novelty of this work lies in the application of six meta-heuristic algorithms for optimizing the weights and biases of the trained RBF network. …”
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A New Approach to Topology Optimization with Genetic Algorithm and Parameterization Level Set Function by Igor Pehnec, Damir Sedlar, Ivo Marinic-Kragic, Damir Vučina

“…In this paper, a new approach to topology optimization using the parameterized level set function and genetic algorithm optimization methods is presented. The impact of a number of parameters describing the level set function in the representation of the model was examined. …”
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ARC-LIGHT: Algorithm for Robust Characterization of Lunar Surface Imaging for Ground Hazards and Trajectory by Alexander Cushen, Ariana Bueno, Samuel Carrico, Corrydon Wettstein, Jaykumar Ishvarbhai Adalja, Mengxiang Shi, Naila Garcia, Yuliana Garcia, Mirko Gamba, Christopher Ruf

“…The feasibility of this technology was validated through development of a prototype algorithm, which was trained on data from a purpose-built testbed that simulates imaging through a dusty environment. …”
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