Fast-Charging Optimization Method for Lithium-Ion Battery Packs Based on Deep Deterministic Policy Gradient Algorithm by Zhi Zhang, Taijun Guo, Yefeng Liu, Xinfu Pang, Zedong Zheng

“…The model employs the deep deterministic policy gradient (DDPG) algorithm integrated with reward centralization and entropy regularization mechanisms, aiming to dynamically adjust the charging current to achieve an optimal balance between fast charging and battery health. …”
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Joint Optimization of Multi-Period Empty Container Repositioning and Inventory Control Based on Adaptive Particle Swarm Algorithm by Jiaxin Cai, Ying Huang, Cuijie Diao, Zhihong Jin

“…Firstly, a joint optimization model integrating (s, S) inventory control strategy is constructed. …”
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A multi-object tracking algorithm for cleaning vessels to track floating debris based on YOLOv5-Byte by Heping YUAN, Bo ZHOU, Bijin LIU

“…ObjectiveAiming at the problems of easy switching of tracking ID （identity） and low accuracy caused by complex scenes, including platform shaking and small object due to long distance during autonomous collection of surface floating debris by cleaning vessels, a multi-object tracking (MOT) method based on improved YOLOv5-Byte was proposed.MethodFirst, the Byte data association model was integrated with the YOLOv5 detector to construct the MOT algorithm. …”
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RAD-Seq-derived SSR markers: a new paradigm for genetic analysis and construction of genetically improved production populations in Pinus koraiensis by Pingyu Yan, Wanying Zhang, Junfei Hao, Xiaotian Miao, Jun Wu, Zixiong Xie, Zhixin Li, Lei Zhang, Hanguo Zhang

“…The genetic data were then integrated with multiyear cone production records from the population of plus trees, thus facilitating the construction of a production population. …”
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Application of a generative adversarial network algorithm to filling blank strips of fractures in formation microresistivity imaging images by Zhengming KANG, Chensheng WU, Guodong YANG, Disheng WU, Ruifei WANG, Xiangyu YANG, Wei GAN

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Maize Classification in Arid Regions via Spatiotemporal Feature Optimization and Multi-Source Remote Sensing Integration by Guang Yang, Jun Wang, Zhengyuan Qi

“…Focusing on the Hexi region of Gansu Province, we utilized the Google Earth Engine (GEE) to integrate Sentinel-2 optical imagery (10 bands) and Sentinel-1 radar data (VV/VH polarization), constructing a 96-feature set that comprises spectral, vegetation index, red-edge, and texture variables. …”
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Leveraging the integration of bioinformatics and machine learning to uncover common biomarkers and molecular pathways underlying diabetes and nephrolithiasis by Xudong Shen, Xudong Shen, Xudong Shen, Guoxiang Li, Guoxiang Li, Guoxiang Li, Junfeng Yao, Junfeng Yao, Junfeng Yao, Junping Yang, Xiaobo Ding, Xiaobo Ding, Xiaobo Ding, Zongyao Hao, Zongyao Hao, Zongyao Hao, Yan Chen, Yang Chen, Yang Chen, Yang Chen

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Machine learning-based construction of a programmed cell death-related model reveals prognosis and immune infiltration in pancreatic adenocarcinoma patients by Bing Wang, Zhida Long, Xun Zou, Zhengang Sun, Yuanchu Xiao

“…Using a comprehensive machine learning framework involving 117 algorithmic combinations under a Leave-one-out cross-validation (LOOCV) strategy, we identified the StepCox[both] + Ridge as the best algorithms composition to construct a prognostic model based on six PCDRGs, ITGA3, CDCP1, IL1RAP, CLU, PBK, and PLAU. …”
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3Mont: A multi-omics integrative tool for breast cancer subtype stratification. by Miray Unlu Yazici, J S Marron, Burcu Bakir-Gungor, Fei Zou, Malik Yousef

“…Our tool allows users to analyze the collective behavior of features in each pro-group (biological groups) utilizing ML algorithms. In addition, by constructing the pro-groups and equalizing the feature numbers in each pro-group using the FIS component, this process achieves a significant 20% speedup over the 3Mint tool. …”
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Integrated multiomics analysis and machine learning refine molecular subtypes and prognosis for thyroid cancer by Peng Zhang, Meizhong Qin, Fen Li, Kunpeng Hu, He Huang, Cuicui Li

“…Methods We integrated five omics layers from THCA patients using eleven clustering algorithms to identify molecular subtypes. …”
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Channel model-based multiple layers satellite-ground integrated data allocation strategy by SONG Yujie, CAO Yue, CHEN Nuo, SUN Zhili

“…To address the problem of inefficient satellite-ground link handover, unbalanced data allocation, and high probability of data transmission interruptions in space-air-ground integrated networks, a channel model-based multiple layers satellite-ground integrated data allocation strategy (CMDAS) was proposed for the satellite-ground integrated data transmission scenario with a multi-layer architecture. …”
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Channel model-based multiple layers satellite-ground integrated data allocation strategy by SONG Yujie, CAO Yue, CHEN Nuo, SUN Zhili

“…To address the problem of inefficient satellite-ground link handover, unbalanced data allocation, and high probability of data transmission interruptions in space-air-ground integrated networks, a channel model-based multiple layers satellite-ground integrated data allocation strategy (CMDAS) was proposed for the satellite-ground integrated data transmission scenario with a multi-layer architecture. …”
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Ferroptosis-related genes in preeclampsia: integrative bioinformatics analysis, experimental validation and drug prediction by Lidan He, Feng Zhan, Xuemei Li, Huijuan Yang, Jianbo Wu

“…Hub genes were selected using RandomForest and LASSO algorithms. Their diagnostic potential was evaluated through ROC analysis. …”
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Integrated bioinformatics analysis to develop diagnostic models for malignant transformation of chronic proliferative diseases by Hua Liu, Sheng Lin, Pei-Xuan Chen, Juan Min, Xia-Yang Liu, Ting Guan, Chao-Ying Yang, Xiao-Juan Xiao, De-Hui Xiong, Sheng-Jie Sun, Ling Nie, Han Gong, Xu-Sheng Wu, Xiao-Feng He, Jing Liu

“…This study aimed to develop a diagnostic model for malignant transformation of chronic proliferative diseases, addressing the challenges of early detection and intervention. Integrated public datasets of PV and AML were analyzed to identify differentially expressed genes (DEGs) and construct a weighted correlation network. …”
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Integrating system dynamics and machine learning for environmental impact analysis of building materials in the demolition process by Babatunde Oluwaseun Ajayi, Mayowa Emmanuel Bamisaye, Hugo Miguel Magalhães Macedo, Issara Sereewatthanawut

“…Therefore, a comprehensive analysis of these factors is crucial for mitigating environmental impact. This study integrates System Dynamics (SD) modeling with the Random Forest (RF) algorithm to analyze the relationships among key variables and assess the overall environmental impacts of different demolition tool combinations (OEIC1, OEIC2, OEIC3, and OEIC4). …”
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Enhancing ovarian cancer prognosis with an artificial intelligence-derived model: Multi-omics integration and therapeutic implications by You Wu, Kunyu Wang, Yan Song, Bin Li

“…Methods: This study leveraged multi-dataset analysis to construct and validate an Artificial Intelligence-Derived Prognostic Index (AIDPI) for ovarian cancer. …”
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A Time- and Space-Integrated Expansion Planning Method for AC/DC Hybrid Distribution Networks by Yao Guo, Shaorong Wang, Dezhi Chen

“…The simulation results show that the modified algorithm outperforms traditional algorithm in terms of both training efficiency and stability, with a faster convergence and lower fluctuation in cumulative rewards. …”
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Multi-Objective Optimization Design of Low-Frequency Band Gap for Local Resonance Acoustic Metamaterials Based on Genetic Algorithm by Jianjiao Deng, Yunuo Qin, Xi Chen, Yanyong He, Yu Song, Xinpeng Zhang, Wenting Ma, Shoukui Li, Yudong Wu

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Impact of agricultural industry transformation based on deep learning model evaluation and metaheuristic algorithms under dual carbon strategy by Xuan Zhao, Weiyun Tang, Qiuyan Liu, Hongtao Cao, Fei Chen

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Blind Recognition Algorithm of Multi-Carrier Composite Modulation Signal Based on Multi-Dimensional Time-Frequency Superimposed Spectrum by Shoubin Wang, Huan Li, Xiaolong Zhang, Hao Jiang, Lei Shen

“…To address this issue, this paper proposes a multi-carrier composite signal modulation recognition algorithm based on a multi-dimensional time-frequency superimposed spectrum (MD-TFSS) with integrated inner and outer features, which can recognize composite modulation signals in the set {BPSK-PM, QPSK-PM, BPSK-QPSK-PM, BPSK-BPSK-PM, QPSK-QPSK-PM}. …”
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