Self-consistent gravity model for inferring node mass in flow networks by Daekyung Lee, Wonguk Cho, Heetae Kim, Gunn Kim, Hyeong-Chai Jeong, Beom Jun Kim

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An Optimized Method for Solving the Green Permutation Flow Shop Scheduling Problem Using a Combination of Deep Reinforcement Learning and Improved Genetic Algorithm by Yongxin Lu, Yiping Yuan, Jiarula Yasenjiang, Adilanmu Sitahong, Yongsheng Chao, Yunxuan Wang

“…By comparing the proposed method with algorithms such as the standard genetic algorithm (SGA), elite genetic algorithm (EGA), hybrid genetic algorithm (HGA), discrete self-organizing migrating algorithm (DSOMA), discrete water wave optimization algorithm (DWWO), and hybrid monkey search algorithm (HMSA), the results demonstrate the effectiveness of the proposed method. …”
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Emperor Yu Tames the Flood: Water Surface Garbage Cleaning Robot Using Improved A* Algorithm in Dynamic Environments by Ronghao Li, Bingying Zhang, Di Lin, Rong-Guei Tsai, Wenwen Zou, Shanna He, Ziqi Lin, Xinxin Chen, Yating Yao

“…The traditional A<inline-formula> <tex-math notation="LaTeX">$^{\ast }$ </tex-math></inline-formula> algorithm performs well in static environments, but the ocean is a dynamic environment where marine debris constantly shifts due to ocean currents or tides, making it extremely challenging for robots to collect marine debris. …”
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Dirty Pictures by Esra S. Padgett

“…This article outlines the history of obscenity law in the U.S. and its use of both inherentist and performative approaches. It then traces the shift in Tumblr’s content ban, from a legal framework to an automated algorithmic agent for the task of discernment. …”
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Transformer Oil Acid Value Prediction Method Based on Infrared Spectroscopy and Deep Neural Network by Linjie Fang, Chuanshuai Zong, Zhenguo Pang, Ye Tian, Xuezeng Huang, Yining Zhang, Xiaolong Wang, Shiji Zhang

“…The infrared spectral data of the transformer oil is acquired by ALPHA II FT-IR spectrometer, the high frequency noise effect of the spectrum is reduced by wavelet packet decomposition (WPD), and the bootstrapping soft shrinkage (BOSS) algorithm is used to extract the spectra with the highest correlation with the acid value content. …”
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SAC-Based Intelligent Load Relief Attitude Control Method for Launch Vehicles by Shou Zhou, Hao Yang, Shifeng Zhang, Xibin Bai, Feng Wang

“…This paper proposes an intelligent control method based on Soft Actor-Critic (SAC) to address uncertainties faced by flight vehicles during flight. …”
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Mechanical Design of McKibben Muscles Predicting Developed Force by Artificial Neural Networks by Michele Gabrio Antonelli, Pierluigi Beomonte Zobel, Muhammad Aziz Sarwar, Nicola Stampone

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Combined use of non-steroidal anti-inflammatory drugs and symptomatic slow-acting drugs in musculoskeletal diseases by A. E. Karateev, A. M. Lila, V. A. Parfenov, M. N. Khokhlova, M. A. Strakhov

“…Musculoskeletal diseases, such as osteoarthritis (OA), nonspecific back pain (NBP), and periarticular soft tissue pathology (PSTP – tendinitis, enthesitis, bursitis, etc.) are one of the most common reasons for visiting general practitioners. …”
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Physics-Data Fusion Enhanced Virtual Synchronous Generator Control Strategy for Multiple Charging Stations Active Frequency Response by Leyan Ding, Song Ke, Ghamgeen Izat Rashed, Peixiao Fan, Xingye Shi

“…Building upon this, the physics-data fusion concept is introduced, wherein the MA-soft-actor-critic (MA-SAC) algorithm dynamically adjusts coordination coefficients with the consideration of CSs’ FR capabilities. …”
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Extreme Grid Operation Scenario Generation Framework Considering Discrete Failures and Continuous Output Variations by Dong Liu, Guodong Guo, Zhidong Wang, Fan Li, Kaiyuan Jia, Chenzhenghan Zhu, Haotian Wang, Yingyun Sun

“…Extreme operation scenario expansion is realized based on the sequential Monte Carlo sampling method and the distribution shifting algorithm. To generate equipment failure scenarios in discrete temporal data form and extreme output scenarios in continuous temporal data form for renewable energy, a Gumbel-Softmax variational autoencoder and an extreme conditional generative adversarial network are respectively proposed. …”
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The Field Attributes May not Accurately Predict the Need for Early Tracheostomy Tube Insertion in Severe TBI Patients: A New Insight With the Help of AI Algorithms by Adrina Habibzadeh, Sepehr Khademolhosseini, Reza Taheri, Amin Niakan, Saeed Tayebi Khorami, Hadis Ghasemi, HosseinAli Khalili

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Prediction of Liquefaction-Induced Lateral Displacements Using Hybrid GBRT and EOA by Arash Ziaie, Bahareh Mehdizadeh, Farzad Safi Jahanshahi, Nazanin Ahmadi, Ali Reza Ghanizadeh

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A SAC-Bi-RRT Two-Layer Real-Time Motion Planning Approach for Robot Assembly Tasks in Unstructured Environments by Qinglei Zhang, Siyao Hu, Jianguo Duan, Jiyun Qin, Ying Zhou

“…To realize the safe assembly of assembly robots in dynamic and complex environments, a dynamic obstacle avoidance trajectory planning method for robots combining traditional planning algorithms and deep reinforcement learning algorithms is proposed to improve the robot’s agent and obstacle avoidance ability in dynamic and complex environments. …”
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Turkish educational policy in Central Asia by A. S. Ergashev, O. E. Grishin

“…The author suggests algorithmic approaches to improve the image and increase Turkish education attractiveness through tourism and culture. …”
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Continuum Robots: Current Trends in Design, Control, and Applications by Marina Kalekeyeva, Zarina Konakbay, Meiramgul Imanbekova, Aliya Shakbutova, Olga Garmash, Gulzhan Muratbekova, Doszhan Mambetalin

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Advancing sustainable mobility: Dynamic predictive modeling of charging cycles in electric vehicles using machine learning techniques and predictive application development by Biplov Paneru, Durga Prasad Mainali, Bishwash Paneru, Sanjog Chhetri Sapkota

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Computer graphics processing technology based on GIS model and its application by Quanpeng Ji

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An Analysis of Consumer Purchase Behavior Following Cart Addition in E-Commerce Utilizing Explainable Artificial Intelligence by Ramazan Esmeli, Aytac Gokce

“…The comprehensive experimental results obtained from two datasets and eight models demonstrate that machine learning algorithms can achieve an F1 score of 89% in predicting purchase behavior following cart additions. …”
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Real-Time Compensation for Unknown Image Displacement and Rotation in Infrared Multispectral Camera Push-Broom Imaging by Tongxu Zhang, Guoliang Tang, Shouzheng Zhu, Fang Ding, Wenli Wu, Jindong Bai, Chunlai Li, Jianyu Wang

“…Digital time-delay integration (TDI) enhances the signal-to-noise ratio (SNR) in infrared (IR) imaging, but its effectiveness in push-broom scanning is contingent upon maintaining a stable image shift velocity. Unpredictable image shifts and rotations, caused by carrier or scene movement, can affect the imaging process. …”
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Federated deep reinforcement learning-based edge collaborative caching strategy in space-air-ground integrated network by LIU Liang, JING Tengxiang, DUAN Jie, MAO Wuping, YAN Hongcheng, MA Wenjie

“…Finally, a federated discrete soft actor-critic (FDSAC) algorithm was proposed, with the core idea of integrating a weighted attention mechanism into the federated learning framework and incorporating a bidirectional long short-term memory network into the DSAC model. …”
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