Integrating multi-omics to unveil PSMD12 as a critical gene in promoting brain metastases of lung adenocarcinoma by Xin Li, Juxuan Zhang, Meng Zhang, Wenbin Jiang, Dexin Jia, Ruxiong Wang, Hao Li, Zhihui Wang, Yixin Liu, Lefan Tang, Jiaxing Deng, Wenyuan Zhao, Yan Yu, Shilong Liu, Lishuang Qi

“…Mechanistically, we developed an algorithm to construct an upstream regulator network of PSMD12 overexpression. …”
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Integrated energy microgrids participating in voltage regulation ancillary services: An improved ADMM based distributed optimization approach by Hao Xiao, Wei Pei, Daoxin Han, Xiaowei Pu, Jiarui Wang

“…Abstract The integrated energy microgrid (IEM) has good potential for both active and reactive power regulation, which are gradually becoming critical resources for participating in power system ancillary services. …”
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Integration of graph neural networks and transcriptomics analysis identify key pathways and gene signature for immunotherapy response and prognosis of skin melanoma by Maodong Ye, Shuai Ren, Huanjuan Luo, Xiumin Wu, Hongwei Lian, Xiangna Cai, Yingchang Ji

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Integrative machine learning models predict prostate cancer diagnosis and biochemical recurrence risk: Advancing precision oncology by Yaxuan Wang, Haixia Zhu, Jianlan Ren, Minghua Ren

“…Cluster analysis revealed these genes were significantly associated with PCa prognosis, drug sensitivity, and immune infiltration. We constructed a robust diagnostic model integrating multiple machine learning algorithms, demonstrating strong predictive capability for PCa. …”
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PLY-SLAM: Semantic Visual SLAM Integrating Point–Line Features with YOLOv8-seg in Dynamic Scenes by Huan Mao, Jingwen Luo

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Integrated Scheduling of Multi-Objective Job Shops and Material Handling Robots with Reinforcement Learning Guided Meta-Heuristics by Zhangying Xu, Qi Jia, Kaizhou Gao, Yaping Fu, Li Yin, Qiangqiang Sun

“…Based on the solutions and their analysis, we conclude that the proposed GA integrating SARSA with the first reward setting strategy is the most competitive one among 27 compared algorithms.…”
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Integrative analysis of ceRNA networks and immune cell infiltration in thyroid cancer for enhanced diagnostic and prognostic insights by Chang Lv, Huazhe Wu, Dejun Yin, Wei Fang, Liming Zhou

“…Survival analysis and the Cibersort algorithm further revealed the relationship between ceRNA regulatory networks and immune cell infiltration. …”
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Machine learning-based integration develops relapse related signature for predicting prognosis and indicating immune microenvironment infiltration in breast cancer by Junyi Li, Shixin Li, Dongpo Zhang, Yibing Zhu, Yue Wang, Xiaoxiao Xing, Juefei Mo, Yong Zhang, Daixiang Liao, Jun Li

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An asymmetric Nash bargaining based day-ahead distributed energy sharing strategy for integrated energy service providers by Xu Zhu, Shanhe Liu, Yang Cao, Yan Zhang

“…Integrated energy systems are gradually promoted and constructed. …”
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Predicting asphaltene precipitation during natural depletion of oil reservoirs by integrating SARA fractions with advanced intelligent models by Behnam Amiri-Ramsheh, Sara Sahebalzamani, Reza Zabihi, Abdolhossein Hemmati-Sarapardeh

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Prediction of clinical stages of cervical cancer via machine learning integrated with clinical features and ultrasound-based radiomics by Maochun Zhang, Qing Zhang, Xueying Wang, Xiaoli Peng, Jiao Chen, Hanfeng Yang

“…The chosen profiles were employed in radiomics model and Radscore formula construction. Prediction models were developed utilizing several ML algorithms by Python based on an integrated dataset of clinical features and ultrasound radiomics. …”
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Advancing Water Quality Management: An Integrated Approach Using Ensemble Machine Learning and Real-Time Interactive Visualization by Jigna K. Pandya, Suresh S. Khandelwal, Rupesh Kumar Tipu, Kartik S. Pandya

“…A comprehensive dataset of water quality parameters was collected and preprocessed to ensure data integrity. An ensemble model combining Decision Trees, Random Forest, Gradient Boosting Machines (GBM), XGBoost and Neural Networks was constructed, leveraging the strengths of each algorithm to enhance predictive accuracy. …”
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Integrating bulk and single-cell RNA sequencing reveals intratumor heterogeneity phenotypes and immune infiltration in pancreatic cancer by Li Zhao, Yao Huang, Jiang Li, Rui Xie, Kaiming Li

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Edge Computing Application-Specific Integrated Circuit With Two Serial Communication Protocols and a Backpropagation Neural Network by Guo-Ming Sung, Sachin D. Kohale, Chao-Yu Chen, Ying-Tzu Lai

“…A 25LC640 EEPROM memory microchip is mounted externally on the ASIC and stores the BPNN model, training data, and adjustable weights. The BPNN model is constructed using the inverse transfer algorithm, and this model’s training process is optimized by employing the stochastic gradient descent method. …”
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The Inversion of SPAD Value in Pear Tree Leaves by Integrating Unmanned Aerial Vehicle Spectral Information and Textural Features by Ning Yan, Yasen Qin, Haotian Wang, Qi Wang, Fangyu Hu, Yuwei Wu, Xuedong Zhang, Xu Li

“…Finally, four machine learning methods, namely XGBoost, random forest (RF), back-propagation neural network (BPNN), and optimized integration algorithm (OIA), were used to construct inversion models of the SPAD value of pear trees, with different feature inputs based on vegetation indices, textural features, and their combinations, respectively. …”
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Identification and experimental validation of ulcerative colitis-associated hub genes through integrated WGCNA and lysosomal autophagy analysis by Yuanpei Zhao, Yijun Li, Qingwen Xu, Lili Ding, Weiming Li, Qinghua Zou, Yichen Hu, Kaiwen Shi, Hongyuan Liu

“…Immune cell infiltration of these gene sets was evaluated using the CIBERSORT algorithm. Lysophagy-related genes set were retrieved from the GeneCards database. …”
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Integrated System of Microalgae Photobioreactor and Wine Fermenter: Growth Kinetics for Sustainable CO₂ Biocapture by María Carla Groff, Cecilia Fernández Puchol, Rocío Gil, Lina Paula Pedrozo, Santiago Albareti, Ana Belén Manzanares, Emilia Sánchez, Gustavo Scaglia

“…Optimal parameter values for each model were identified using a hybrid search algorithm developed by our research group. First, an integrated microvinification system was established, utilizing two microalgae species, <i>Chlorella</i> spp. …”
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Enhancing Urban Energy Infrastructure by Optimizing Underground Transmission Line Routing in Phnom Penh by Kimlin Saing, Hui Hwang Goh, Dongdong Zhang, Wei Dai, Tonni Agustiono Kurniawan, Kai Chen Goh

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Orchard variable-rate spraying method integrating GNSS and wind-excited audio-conducted leaf area density by Hangxing Zhao, Hangxing Zhao, Hangxing Zhao, Shenghui Yang, Shenghui Yang, Shenghui Yang, Wenwei Li, Wenwei Li, Han Feng, Han Feng, Shijie Jiang, Shijie Jiang, Weihong Liu, Weihong Liu, Jingbin Li, Yongjun Zheng, Yongjun Zheng, Songchao Zhang

“…A variable-rate spray control model and algorithm were then constructed to regulate spray flow according to the spatial distribution of leaf area density across the orchard.ResultsField experiments demonstrated that the system achieved a mean relative error of only 5.52% in spray flow rate regulation. …”
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Compressive Strength Prediction Using Coupled Deep Learning Model with Extreme Gradient Boosting Algorithm: Environmentally Friendly Concrete Incorporating Recycled Aggregate by Mayadah W. Falah, Sadaam Hadee Hussein, Mohammed Ayad Saad, Zainab Hasan Ali, Tan Huy Tran, Rania M. Ghoniem, Ahmed A. Ewees

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