Combining Smartphone Inertial Sensors and Machine Learning Algorithms to Estimate Power Variables in Standing Long Jump by Beatrice De Lazzari, Giuseppe Vannozzi, Valentina Camomilla

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A Deep Learning Algorithm of Neural Network for the Parameterization of Typhoon‐Ocean Feedback in Typhoon Forecast Models by Guo‐Qing Jiang, Jing Xu, Jun Wei

“…It tends to produce an unstable SSTC distribution, for which any perturbations may lead to changes in both SSTC pattern and strength. The D‐L algorithm extends the neural network to a 4 × 5 neuron matrix with atmospheric and oceanic factors being separated in different layers of neurons, so that the machine learning can determine the roles of atmospheric and oceanic factors in shaping the SSTC. …”
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Swarm Confrontation Algorithm for UGV Swarm with Quantity Advantage by a Novel MSRM-MAPOCA Training Method by Huanli Gao, Chongming Zhao, Xinghe Yu, Shuangfei Ren, He Cai

“…Based on the Unity 3D platform, comprehensive direct and indirect comparative tests have been conducted, where the results show that the swarm confrontation algorithm proposed in this article triumphs over other classic or up-to-date swarm confrontation algorithms in terms of both win rate and efficiency.…”
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Genetic algorithm-enhanced linear quadratic control for balancing bicopter system with non-zero set point by Esa Apriaskar, Dhidik Prastiyanto, Aryo Baskoro Utomo, Akhyar Abdillah Manaf, Ilya Amelia, Dimas Alfarizky Ilham, Viyola Lokahita Bilqis, Chonlatee Photong

“…This article proposes a new control method for bicopter that uses a genetic algorithm optimization approach in the linear quadratic (LQ-GA) control method. …”
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An Improved Salp Swarm Algorithm for Solving a Multi-Temperature Joint Distribution Route Optimization Problem by Yimei Chang, Jiaqi Yu, Yang Wang, Xiaoling Xie

“…To solve this model, an improved salp swarm algorithm (SSA) has been developed. The feasibility and effectiveness of both the proposed model and algorithm are demonstrated using R110 data from the Solomon standard calculation example. …”
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A hybrid model for improving customer lifetime value prediction using stacking ensemble learning algorithm by Amir Mohammad Haddadi, Hodjat Hamidi

“…This framework can assist an organization in making more strategic and data-driven decisions to enhance both performance and profitability while securing improved customer satisfaction and long-term loyalty. …”
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Optimization of a Dense Mapping Algorithm with Enhanced Point-Line Features for Open-Pit Mining Environments by Yuanbin Xiao, Bing Li, Wubin Xu, Weixin Zhou, Bo Xu, Hanwen Zhang

“…This study introduces an enhanced ORB-SLAM3 algorithm to address the limitations of traditional visual SLAM systems in feature extraction and localization accuracy within the challenging terrains of open-pit mining environments. …”
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Enhancing power efficiency in BLDC motor drives for drones using multiview learning with hybrid optimization algorithms by Anushree Gopalakrishnan, Rani Thottungal

“…For instance, at a torque of 3.5 Nm, the intermittent power rating for both Eel Foraging and Gooseneck Barnacle Optimization is 265 W, aligned with their efficiency-driven design principles. …”
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OS-PCMM: Automatic Registration Algorithm for Optical and SAR Image Based on Phase Congruency and Multimoment Feature by Yuan Liang, Tao Su, Ruiqiu Wang, Jiangtao Liu

“…In this article, we propose an automatic registration algorithm for optical and SAR images based on phase congruency and multimoment features. …”
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Optimizing Artificial Neural Network Learning Using Improved Reinforcement Learning in Artificial Bee Colony Algorithm by Taninnuch Lamjiak, Booncharoen Sirinaovakul, Siriwan Kornthongnimit, Jumpol Polvichai, Aysha Sohail

“…The results showed that both PSO and R-ABC continuously improved the solutions across all benchmark datasets. …”
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Data-driven continuous-time Hammerstein modeling with missing data using improved Archimedes optimization algorithm by Muhammad Shafiqul Islam, Mohd Ashraf Ahmad

“…This research introduces the improved Archimedes optimization algorithm (IAOA) for data-driven modeling of continuous-time Hammerstein models with missing data. …”
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Medical Image Classification Algorithm Based on Weight Initialization-Sliding Window Fusion Convolutional Neural Network by Feng-Ping An

“…Finally, using the adaptive sliding window fusion mechanism proposed in this paper, both methods jointly complete the classification task of medical images. …”
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Accuracy of cephalometric landmark and cephalometric analysis from lateral facial photograph by using CNN-based algorithm by Yui Shimamura, Chie Tachiki, Kaisei Takahashi, Satoru Matsunaga, Takashi Takaki, Masafumi Hagiwara, Yasushi Nishii

“…Therefore, the algorithm can be clinically valuable.…”
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Advances to IoT security using a GRU-CNN deep learning model trained on SUCMO algorithm by Amit Sagu, Nasib Singh Gill, Preeti Gulia, Noha Alduaiji, Piyush Kumar Shukla, Mohd Asif Shah

“…This combination makes the model effective at analysing both static and dynamic aspects of network data. …”
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A Heuristics-Guided Simplified Discrete Harmony Search Algorithm for Solving 0-1 Knapsack Problem by Fuyuan Zheng, Kanglong Cheng, Kai Yang, Ning Li, Yu Lin, Yiwen Zhong

“…The harmony search (HS) algorithm is a novel metaheuristic which has been widely used to solve both continuous and discrete optimization problems. …”
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Development and validation of a deep learning algorithm for prediction of pediatric recurrent intussusception in ultrasound images and radiographs by Yu-feng Qian, Wan-liang Guo

“…Conclusions Deep learning algorithms developed using multimodal medical imaging may help predict recurrent intussusception. …”
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Research on Multi-Center Path Optimization for Emergency Events Based on an Improved Particle Swarm Optimization Algorithm by Zeyu Zou, Hui Zeng, Xiaodong Zheng, Junming Chen

“…Case studies were conducted to evaluate the feasibility and effectiveness of both the proposed model and the algorithm. Results indicate that the model accurately reflects the dynamics of emergency logistics operations, while the hybrid algorithm exhibits strong local optimization capabilities and robust performance in handling diverse and complex scenarios. …”
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DRLAttack: A Deep Reinforcement Learning-Based Framework for Data Poisoning Attack on Collaborative Filtering Algorithms by Jiaxin Fan, Mohan Li, Yanbin Sun, Peng Chen

“…However, they fail to address its dynamic nature and algorithmic complexity, thereby hindering effective breaches of the system’s defensive mechanisms. …”
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Reliability Analysis of a Direct Shear Test of Modified Iron Tailings Based on the Monte Carlo Algorithm by Ping Jiang, Jian Qian, Na Li

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An improved multi-objective artificial physics optimization algorithm based on R2 indicator and its application by Bao Sun, Yihong Chang, Min Gao, Zhanlong Li, Jiankang Liu, Jinbin Wang

“…To address these issues, we propose the Constrained Rank Multi-Objective Artificial Physical Optimization based on the R2 indicator (R2-ICRMOAPO) algorithm. This algorithm integrates non-dominated sorting with the R2 indicator and updates the external storage set using the contribution value derived from the R2 indicator formula, ensuring both set distribution and convergence. …”
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