OA−ICOS−Based Oxygen and Carbon Dioxide Sensors for Field Applications in Gas Reflux Chicken Coops by Weijia Li, Guanyu Lin, Jianing Wang, Jifeng Li, Yulai Sun, Depu Yao, Xiaogang Yan, Zhibin Ban

“…The sensor employs integrated environmental control technology, substantially enhancing detection precision. …”
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Characterization of braided river reservoir architecture based on seismic attribute stacking ensemble learning: A case study of the C-2 oilfield in the Bohai Bay Basin by ZHANG Zhang, MENG Peng, YANG Wei, ZHANG Xiaolong, HUANG Qi, WANG Haoran

“…This approach significantly improved prediction accuracy compared to a single machine learning model. By integrating multi-dimensional information such as geology, geophysics, and reservoir dynamics, iterative optimization was conducted to further reduce the uncertainty in subsurface reservoir prediction and structural understanding. …”
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A bibliometric review of smart technologies: IoT and AI for sustainable and efficient desalination by Achraf El Allaoui, Loubna El Ansari, Atae Semmar, Wafaa Dachry, Hassan Gziri, Hicham Medromi

“…Real-time monitoring of key factors, like temperature, pressure, and CO2 levels, combined with predictive maintenance and adaptive control through AI. The study focuses on three main areas: energy optimization, sustainable brine handling, and advanced membrane technologies, showing how IoT and AI can improve desalination. …”
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Optimum routing for dry bulk voyages with the effect of an emission trading system: NSR vs SCR by Chathumi Ayanthi Kavirathna, Ryuichi Shibasaki, Wenyi Ding

“…However, a much shorter voyage via NSR than SCR could save more emissions, although it could not save costs. The optimization model derives over 90 feasible voyages for NSR, varied based on the free-emissions quota, icebreaker availability, navigation month, fuel prices, and types. …”
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METHODS FOR INCREASING THE EFFICIENCY OF A DUAL-CHANNEL OPTO-ELECTRONIC SIGHT by R. V. Fiodortсev, A. P. Shkadarevich, Qusai Eid Mohammad, A. V. Fufaev

“…The actual task of the aiming equipment manufacturers is to develop autonomous models of optical sights capable of independently measuring and analyzing input parameters in combat conditions and on their basis to make corrections to the guidance system and aiming mechanisms. …”
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Design and Experiment of Autonomous Shield-Cutting End-Effector for Dual-Zone Maize Field Weeding by Yunxiang Li, Yinsong Qu, Yuan Fang, Jie Yang, Yanfeng Lu

“…Kinematic/dynamic models were introduced alongside an adaptive sliding mode controller, ensuring lateral translation error convergence. …”
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Investigation of Stress Variation in Push-the-Bit Rotary Steering Bearings Under Weight on Bit and Push Forces by SHEN Bin, YANG Hao, XUE Zhejing, LI Wei, CHENG Feng, LU Lu, WU Jie

“…As the key component of the push-the-bit rotary steerable system, the accuracy and reliability of the bearing system directly affect the control accuracy and drilling efficiency of the drilling tool on the borehole trajectory. …”
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Investigation of Features of Mass-Fragmentation of Some N-(N,N-diethylacetamidino)-O-alkylfluorophosphates and Related Alkylfluorophosphonates and their Detection by Liquid Chro... by A. V. Braun, I. V. Rybalchenko, V. N. Fateenkov, V. A. Yashkir

“…Presented  approach was tested in analysis of model aqueous samples; metrological parameters of detection of compounds  were estimated. …”
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On-Device Automatic Speech Recognition for Low-Resource Languages in Mixed Reality Industrial Metaverse Applications: Practical Guidelines and Evaluation of a Shipbuilding Applicat... by Anton Valladares-Poncela, Paula Fraga-Lamas, Tiago M. Fernandez-Carames

“…The results obtained show a Character Error Rate (CER) below 6% and a latency of under 3 seconds using an ARM64 quantized model, which validates the effectiveness of the system for real-time voice control in industrial MR environments.…”
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The analysis of generative artificial intelligence technology for innovative thinking and strategies in animation teaching by Xu Yao, Yaozhang Zhong, Weiran Cao

“…Compared to traditional animation teaching methods, GAI technology introduces a novel pedagogical paradigm characterized by adaptive personalized learning pathways, intelligent teaching resource optimization, and immersive interactive learning models. …”
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Experimental Investigation of Aerodynamic Interaction in Non-Parallel Tandem Dual-Rotor Systems for Tiltrotor UAV by He Zhu, Yuhao Du, Hong Nie, Zhiyang Xin, Xi Geng

“…This study provides important insights for the aerodynamic performance optimization and transition control strategies of the distributed electric tilt-rotor UAV.…”
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Land Use Challenges in Emerging Economic Corridors of the Global South: A Case Study of the Laos Economic Corridor by Mingjuan Dong, Xingping Wang, Yiran Yan, Dongxue Li

“…Using global land cover data from 2000 to 2020 (GlobeLand30) and employing spatial statistical analysis, the Random Forest (RFC) algorithm, and the CA-Markov model, the study follows a Pattern–Process–Mechanism–Trend analytical framework to reveal the spatial distribution characteristics and transformation paths of land use within the corridor. …”
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Design and Implementation of a Sun Outage Simulation System with High Uniformity and Stray Light Suppression Capability by Zhen Mao, Zhaohui Li, Yong Liu, Limin Gao, Jianke Zhao

“…The system supports a tunable output from 2.5 to 130 mW with a 50× dynamic range and maintains power control accuracy within ±0.9%. To suppress internal background interference, a <i>BRDF</i>-based optical scattering model is established to trace primary and secondary stray light paths. …”
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Machine learning algorithms to predict stroke in China based on causal inference of time series analysis by Qizhi Zheng, Ayang Zhao, Xinzhu Wang, Yanhong Bai, Zikun Wang, Xiuying Wang, Xianzhang Zeng, Guanghui Dong

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On the role of the preheat temperature in electron-beam powder bed fusion processed IN718 by Nana Kwabena Adomako, Michael Haines, Nima Haghdadi, Sophie Primig

“…Process parameters optimization in additive manufacturing (AM) is usually required to unlock superior properties, and this is often facilitated by modeling. …”
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Predicting Three-Dimensional (3D) Printing Product Quality with Machine Learning-Based Regression Methods by Ahmet Burak Tatar

“…Machine learning-based regression models were employed to optimize product quality. …”
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About managing the number of simultaneously functioning software robots of different types by A. S. Zuev, D. A. Leonov

“…A proposed solution is based on models and methods of scenario management, linear programming, inventory management, queuing theory, and machine learning. …”
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Gestión Óptima de la Energía en Microrredes con Generación Renovable by Carlos Bordons, Félix García-Torres, Luis Valverde

“…Palabras clave: Microrredes, Energías Renovables, Control Predictivo, Gestión de la Energía, Sistema Eléctrico., Keywords: Microgrids, renewable energy, model predictive control, energy management, electrical system…”
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Cylindrical Surface Wave Propagation on a Thin Plasma Layer by Neda Khoddam, Mehran Shahmansouri

“…Using the present plasma layer model not only leads to a new coupling between the plasmonic oscillations and the acoustic excitation, but also provides a new mode that is more controllable due to the additional parameters of the model. …”
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Understanding and detection of process instabilities in wire arc directed energy deposition additive manufacturing using meltpool imaging and machine learning by André Ramalho, Anis Assad, Benjamin Bevans, Fernando Deschamps, Telmo G. Santos, J.P. Oliveira, Prahalada Rao

“…Humping and humping-induced porosity are leading stochastic causes of poor WA-DED part quality that occur despite extensive optimization of processing conditions. It is therefore essential to understand, detect and control the causal meltpool phenomena linked to these instabilities. …”
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