Research on real time measurement model and measurement system for gas concentration in extraction drilling by Dayang Yu, Junhao Zhu, Xing Li, An He, Huaiqian Liu, Changjiang Chen, Yong Liu

“…This study develops an enhanced TDLAS-based detection system that integrates wavelength modulation spectroscopy (WMS) with a centroid-weighted Lagrange interpolation algorithm. The system accounts for fluctuations in borehole gas composition, pressure, and temperature, enabling dynamic compensation for spectral distortion and improved measurement reliability. …”
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Improving Secrecy Capacity in the Face of Eavesdropping in SWIPT CIoT Networks With Actor-Critic DRL by Nada Abdel Khalek, Walaa Hamouda

“…The proposed DDPG algorithm allows the CIoT agent to adapt to dynamic environments, enhance transmission security, and extend network lifetime without prior knowledge. …”
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Low-Complexity Relay Selection for Full-Duplex Random Relay Networks by Jonghyun Bang, Taehyoung Kim

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Flexible grasping of robot arm based on improved Informed-RRT star by Xiong YIN, Yan CHEN, Wenhao GUO, Zichen YANG, Hanxin CHEN, An LIAO, Daojin YAO

“…To verify the grasping effect of the robot arm, simulation and grasping experiments were conducted on the cooperative robot arm FR3. Simulation results show that, compared with the traditional Informed-RRT* algorithm, the improved algorithm shortens trajectory length by 10.11% and reduces trajectory generation time by 62.68%. …”
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Coordinated optimization of P2P energy trading and network operation for active distribution network with multi-microgrids by Peishuai Li, Yihan Wang, Tao Zheng, Yulong Jin, Weizhi Yuan, Wenwen Guo

“…Moreover, an algorithm that adjusts the amount of energy trading between the ADN and MG is proposed to ensure safe operation of the distribution network. …”
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Simulation of discrete control systems with parallelism of behavior by D. I. Cheremisinov, L. D. Cheremisinova

“…A method is proposed for transforming the description of an algorithm in the language into a TLM model, which is based on the representation of language operations as compositions of elementary operations that are performed sequentially. …”
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A cluster randomized trial of a Multicomponent Clinical Care Pathway (MCCP) to improve MASLD diagnosis and management in primary care: study protocol by Kyler M. Godwin, Larissa Grigoryan, Aaron P. Thrift, Hao Duong, Fasiha Kanwal, Traber Giardina, Himabindu Kadiyala, Andrew Zimolzak, Kavish R. Patidar, Hashem B. El-Serag

“…We previously validated the MASLD clinical care pathway (MCCP), a multistep algorithmic process geared to support primary care settings in screening, diagnosis, risk stratification, and suggested referral and treatment of patients with MASLD. …”
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SC-PA: A spot-checking model based on Stackelberg game theory for improving peer assessment by Jia Xu, Panyuan Yang, Teng Xiao, Pin Lv, Minghe Yu, Ge Yu

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Land cover changes in grassland landscapes: combining enhanced Landsat data composition, LandTrendr, and machine learning classification in google earth engine with MLP-ANN scenari... by Cecilia Parracciani, Daniela Gigante, Onisimo Mutanga, Stefania Bonafoni, Marco Vizzari

“…Feature importance analysis demonstrated the value of the enhanced map composition, and applying the LandTrendr algorithm simplified the diachronic land use and land cover (LULC) classification and change analysis by supporting automatic training data collection. …”
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Cloud federation three-layer architecture: game-theoretic QoS modeling by MA Kun, HU Chuangyue, ZHANG Yuzhi, MA Fangchao, WANG Xiaodong, DANG Zhonghua, XIAO Wenhong, CHEN Shuangxi

“…To address this, establishing a cloud federation based on cooperation has become a viable strategy for these providers. …”
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Motion Control of a Flexible-Towed Underwater Vehicle Based on Dual-Winch Differential Tension Coordination Control by Hongming Wu, Xiong Li, Kan Xu, Dong Song, Yingkai Xia, Guohua Xu

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Coalition Game-Based Reinforcement Learning in Underwater Acoustic Networks by Khouloud Gharsalli, Sameh Najeh, Thierry Le Pors, Leila Najjar, Pierre-Jean Bouvet, Hichem Besbes

“…These results highlight the potential of combining cooperative game theory with QL and demonstrate the robustness of the method in optimizing resource allocation and fairness in dynamic underwater communication environments.…”
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SEQUENCING OPTICAL IMAGES APPROXIMATED BY HOMOGENEOUS, ONE-DIMENSIONAL POINT RENEWAL PROCESS by Alexander I. Kochegurov, Dmitriy V. Dubinin, Viktor Geringer

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Deciphering the impact of sepsis phenotypes on improving clinical outcome predictions: a multicenter retrospective analysis based on critical care in China by Luyao Zhou, Weimin Zhang, Min Shao, Cui Wang, Yu Wang

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Collaborative Cacbe Management Strategy Based on Ant-Colony Replacement Algoritbm in Named Data Networking by Lili Dong, Yong Wang, Yongqiang Dong, Peng Yang

“…To improve the cache utilization in named data networking, a collaborative cache management strategy, named as ACNCM（ant-colony based neighbor cooperation cache management）, was proposed. The cache replacement problem in a single node was modeled as a 0／1 knapsack problem firstly, which could be well solved by an ant-colony replacement algorithm. …”
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A Proposed Genetic Risk Score for Dilated Cardiomyopathy Susceptibility in the Chinese Han Population by Jianjun Lan, MD, Lin Wang, MD, Guoyuan Qiu, MD, Shihai Wang, MD, Chao Yang, MD, Mengnian Ran, MD, Hongyu Li, MD, Shiyang Li, MD

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Leveraging IGOOSE-XGBoost for the Early Detection of Subclinical Mastitis in Dairy Cows by Rui Guo, Yongqiang Dai

“…A model based on the XGBoost algorithm, optimized with an Improved GOOSE Optimization Algorithm (IGOOSE), is presented in this work as an innovative approach for predicting subclinical mastitis in order to overcome these problems. …”
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Image Recognition and Processing of Rock Cuttings Based on Computer Vision by WANG Dewei, DENG Rui, CHENG Jiaqin

“…In traditional oilfield logging work, the collected rock cuttings are affected by various factors such as the composition, structure, and microscopic characteristics of the formation due to various reasons. …”
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Compressive strength prediction of fly ash/slag-based geopolymer concrete using EBA-optimised chemistry-informed interpretable deep learning model by Yang Yu, Iman Munadhil Abbas Al-Damad, Stephen Foster, Ali Akbar Nezhad, Ailar Hajimohammadi

“…To optimise model accuracy, the enhanced bat algorithm (EBA) is designed for metaparameter tuning. …”
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Explainable AutoML models for predicting the strength of high-performance concrete using Optuna, SHAP and ensemble learning by Muhammad Salman Khan, Tianbo Peng, Tianbo Peng, Muhammad Adeel Khan, Asad Khan, Mahmood Ahmad, Mahmood Ahmad, Kamran Aziz, Mohanad Muayad Sabri Sabri, N. S. Abd EL-Gawaad

“…This study introduces four explainable Automated Machine Learning (AutoML) models that integrate Optuna for hyperparameter optimization, SHapley Additive exPlanations (SHAP) for interpretability, and ensemble learning algorithms such as Random Forest (RF), Extreme Gradient Boosting (XGB), Light Gradient Boosting Machine (LGB), and Categorical Gradient Boosting (CB). …”
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