Clinical implications of deep learning based image analysis of whole radical prostatectomy specimens by Tae-Yeong Kwak, Chan Ho Lee, Won Young Park, Ja Yoon Ku, Chang Wook Jeong, Eu Chang Hwang, Seock Hwan Choi, Joonyoung Cho, Hyeyoon Chang, Kyung Hwan Kim, Byeong Jin Kang, Sun Woo Kim, Hong Koo Ha

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Canadian Consensus Guidelines for the Management of Atopic Dermatitis with Topical Therapies by Melinda J. Gooderham, H. Chih-ho Hong, Charles Lynde, Kim A. Papp, Jensen Yeung, Harvey Lui, Yvette Miller-Monthrope, Julien Ringuet, Irina Turchin, Vimal H. Prajapati

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Exploration of the ubiquitination-related molecular classification and signature to predict the survival and immune microenvironment in colon cancer by Ji-Zhong Xu, Tian-Qi Wan, Jin-Song Su, Jun-Min Song

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Forecasting Stock Market Volatility Using Housing Market Indicators: A Reinforcement Learning-Based Feature Selection Approach by Pourya Zareeihemat, Samira Mohamadi, Jamal Valipour, Seyed Vahid Moravvej

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EDT-MCFEF: a multi-channel feature fusion model for emergency department triage of medical texts by Tao Lin, Shiming Yi

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MetaForecaster: A PSO-Driven Neural Model for Sustainable Industrial Air Quality Management by Marzia Ahmed, Shahrin Islam, Mohd Herwan Sulaiman, Md Maruf Hassan, Touhid Bhuiyan

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Enhancing electric vehicle charging infrastructure: A framework for efficient charging point management by Prajeesh C B, Krishna Priya R, Anju S Pillai, Ahmed S Khwaja, Alagan Anpalagan

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An Effective Hybrid Strategy: Multi-Fuzzy Genetic Tracking Controller for an Autonomous Delivery Van by Mohammad Ghazali, Zaid Samadi, Mehmet Gol, Ali Demir, Kemal Rodoplu, Tarek Kabbani, Emrecan Hatipoğlu, Ahu E. Hartavi

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Development and External Validation of Machine Learning-Based Models for Predicting Lung Metastasis in Kidney Cancer: A Large Population-Based Study by Xinglin Yi, Yuhan Zhang, Juan Cai, Yu Hu, Kai Wen, Pan Xie, Na Yin, Xiangdong Zhou, Hu Luo

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Machine Learning Based Flexible Transmission Time Interval Scheduling for eMBB and uRLLC Coexistence Scenario by Jingxuan Zhang, Xiaodong Xu, Kangjie Zhang, Bufang Zhang, Xiaofeng Tao, Ping Zhang

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A data-efficient deep transfer learning framework for methane super-emitter detection in oil and gas fields using the Sentinel-2 satellite by S. Zhao, S. Zhao, Y. Zhang, Y. Zhang, S. Zhao, S. Zhao, X. Wang, X. Wang, D. J. Varon

“…We apply the algorithm trained with known sources to an unannotated region in the Algerian Hassi Messaoud oil field and reveal 34 anomalous emission events during a 1-year period, which are attributed to three methane super-emitters associated with production and transmission infrastructure. …”
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Integrated optimization of train stopping plans and timetabling for urban rail transit based on dynamic demand by Jiayao Han, Qiuchi Xue, Ye Yuan, Xin Yang, Jianjun Wu

“…A case study using the NSGA-II algorithm shows that the optimized solution significantly alleviates station congestion compared to the all-stop plan. …”
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Assessing the risk of high-grade squamous intraepithelial lesions (HSIL+) in women with LSIL biopsies: a machine learning-based study by Dongmei Li, Zhichao Wang, Yan Liu, Meiyuan Zhou, Bo Xia, Lin Zhang, Keming Chen, Yong Zeng

“…Among the models tested, the Decision Tree algorithm demonstrated superior performance with an accuracy of 94.7%, sensitivity of 80.0%, specificity of 96.9%, and an area under the curve (AUC) of 0.936 in the validation set. …”
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Single-Lane 112-Gbit/s SSB-PAM4 Transmission With Dual-Drive MZM and Kramers–Kronig Detection Over 80-km SSMF by Liang Shu, Jianqiang Li, Zhiquan Wan, Fan Gao, Songnian Fu, Xiang Li, Qi Yang, Kun Xu

“…Both BERs are below 7% hard-decision forward error correction threshold of 3.8 × 10 ^–3. …”
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A Stackelberg Game Approach to Model Reference Adaptive Control for Spacecraft Pursuit–Evasion by Gena Gan, Ming Chu, Huayu Zhang, Shaoqi Lin

“…A Stackelberg equilibrium–based Model Reference Adaptive Control (MSE) method is proposed for spacecraft Pursuit–Evasion (PE) games with incomplete information and sequential decision making under a non–zero–sum framework. First, the spacecraft PE dynamics under <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msub><mi>J</mi><mn>2</mn></msub></semantics></math></inline-formula> perturbation are mapped to a dynamic Stackelberg game model. …”
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Resource Scheduling in MU-MIMO and NOMA Enabled Integrated Access and Backhaul Networks by Chuan-Wei Cho, Meng-Shiuan Pan

“…The designed two-phase algorithm has the following features: 1) support for multi-path routing and efficient resource utilization through the combined use of MU-MIMO and NOMA, 2) a novel route decision phase that selects optimal paths by considering load balancing among IAB nodes, and 3) a dynamic link scheduling phase that allocates transmission power and schedules links to maximize network capacity. …”
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An induction machine‐based drive system and supervisory control for application to smart water‐pumped storage and networks by O. S. Ebrahim, M. A. Badr

“…Under the wide umbrella of supervisory control, the following objectives are achieved: (1) Recurrent neural network (RNN) and RNN‐aided Kalman filter are proposed for wired and wireless sensor fault‐tolerant control of the plant based on Wald's likelihood ratio test. (2) Cheap fuzzy logic‐based availability assessment scheme is presented and deployed on cloud to arrange for preventive maintenance of the starter. (3) Robust energy saving mode decision‐making algorithm is developed for best energetic cost reduction. (4) Remote synchronisation method of multi‐motor starting with a mechanically switched capacitor is introduced to minimise voltage dip. …”
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UAV imaging for spectral characterization of Coffee Leaf Miner (<i>Leucoptera coffeella</i>) infestation in the Cerrado Mineiro region by V. S. W. Orlando, M. D. L. B. T. Galo, G. D. Martins, A. M. Lingua, V. Andaló

“…The performances of the three machine learning algorithms were compared. …”
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Drought Monitoring during Growth Rangeland Coverage, Ardabil Province by saideh eiyni, saeide eini

“…Vegetation dispersal maps were based on decision tree tree classification algorithm and according to NDVI index for the studied months. …”
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Application of collaborative innovation between the logical brain and the associative brain in oil and gas gathering and transportation systems by Jing GONG, Siheng SHEN, Daqian LIU, Qi KANG, Shangfei SONG, Haihao WU, Bohui SHI

“…There is an urgent need to overcome bottlenecks in areas such as algorithmic fusion, dynamic data sharing, and deep AI integration to enable a leap from localized optimization to system-wide intelligent decision-making. …”
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