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  1. 261

    Enantioselective Heck/Tsuji−Trost reaction of flexible vinylic halides with 1,3-dienes by Li-Zhi Zhang, Pei-Chao Zhang, Qian Wang, Min Zhou, Junliang Zhang

    Published 2025-01-01
    “…Here we report an efficient asymmetric domino Heck/Tsuji−Trost reaction of highly flexible vinylic halides with 1,3-dienes enabled by palladium catalysis. …”
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  2. 262

    Dispersant-Induced Enhancement of Rheological Properties in Metal–Photopolymer Mixtures for 3D Printing by Zhiyuan Qu, Guangchao Song, Josue Olortegui-Revoredo, Patrick Kwon, Haseung Chung

    Published 2025-07-01
    “…These findings demonstrate the pivotal role of dispersants in refining the SEAM process, enabling the production of high-density, cost-effective metal components with superior material utilization and process efficiency.…”
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  3. 263

    Experimental study and performance enhancement of micro heat pipe PV/T system by Rui Li, Panpan Zhai, Jinping Li, Xiaomin Liu

    Published 2025-08-01
    “…Similarly, raising the flow rate from 0.108 L/s to 0.128 L/s resulted in a corresponding increase of 0.25 % and 3.01 % in the PCE and TCE, respectively. These experimental investigations and numerical simulations established a solid scientific foundation and offered practical guidance for the implementation of MHP-PV/T systems, thereby facilitating the efficient utilization of solar energy in future applications.…”
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  4. 264

    AI-assisted design of lightweight and strong 3D-printed wheels for electric vehicles. by Timileyin Opeyemi Akande, Oluwaseyi O Alabi, Ali Rizwan, Sunday A Ajagbe, Amos O Olaleye, Mathew O Adigun

    Published 2024-01-01
    “…One critical aspect of EV design is the development of lightweight yet robust components, including 3D vehicle wheels. This research explores the implementation of generative models in Computer-Aided Design (CAD) systems to optimize the design of 3D vehicle wheels for electric vehicles. …”
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  5. 265

    Predictive Deep Learning for High‐Dimensional Inverse Modeling of Hydraulic Tomography in Gaussian and Non‐Gaussian Fields by Quan Guo, Ming Liu, Jian Luo

    Published 2023-10-01
    “…The predictor is a deep neural network calibrated using the reference data obtained from HT forward simulations, which can be implemented in parallel. HT‐INV‐NN is successfully tested in multiple numerical experiments including steady‐state and transient HT for estimating Gaussian fields in 2D and 3D, as well as binary discontinuous or continuous non‐Gaussian channel fields. …”
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  6. 266
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    Smart Waste Management Framework for Green Cities: Integrating IoT, LoRa, and Deep Learning for Efficient Waste Classification and Management by Suprava Ranjan Laha, Khalid Al Smadi, Ahmad Khader Habboush, Binod Kumar Pattanayak, Saumendra Pattnaik, Bibhuprasad Mohanty

    Published 2025-08-01
    “…Tackling the three interconnected challenges in trash management, including preventing overflow, tracking bin locations, and designing efficient garbage collection routes, is complex. …”
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  8. 268
  9. 269

    Couching as Technology and Effective Way of Personnel Development in Commercial Organization by A. L. Barannikov, L. E. Zhuravleva, T. A. Levochkina

    Published 2025-07-01
    “…It is a historical fact that in the conventional pattern of business there are three basic components: people, processes and communications. …”
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  10. 270

    Measuring the Dimension Accuracy of Products Created by 3D Printing Technology with the Designed Measuring System by Martin Pollák, Dominik Sabol, Karol Goryl

    Published 2024-12-01
    “…The integration of precision measurement techniques using depth scanners with PLC control provides new possibilities for increasing the efficiency and quality of measuring 3D printed products. …”
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  13. 273

    A Framework for 3D Plant Simulation of Meal-Kit-Packaging Robot Automation System by Tae Hyong Kim, Byoung Il Gu, Ki Hyun Kwon, Ah-Na Kim

    Published 2025-04-01
    “…Two types of 3D simulation models, implemented with a single or double delta robot, were designed to determine the optimal robot-automated packaging process. …”
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  17. 277

    Multi-Source Data Fusion-Based Grid-Level Load Forecasting by Hai Ye, Xiaobi Teng, Bingbing Song, Kaiming Zou, Moyan Zhu, Guangyu He

    Published 2025-04-01
    “…Experimental validation across three representative seasonal periods (moderate temperature, high temperature, and winter conditions) substantiates that our weighted fusion approach consistently outperforms direct aggregation, achieving a 24.67% improvement in overall MAPE (from 3.09% to 2.33%). …”
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  18. 278

    Smart Buildings and Digital Twin to Monitoring the Efficiency and Wellness of Working Environments: A Case Study on IoT Integration and Data-Driven Management by Giuseppe Piras, Sofia Agostinelli, Francesco Muzi

    Published 2025-04-01
    “…The research aims to develop a system based on the Smart Building and Digital Twin paradigm, focusing on the implementation of various IoT components, the creation of automation flows for energy-efficient lighting, HVAC and indoor air quality control systems, and decision support through real-time data visualization enabled by user interfaces and dashboards integrating the geometric and information model (BIM). …”
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    A Quantitative Evaluation of UAV Flight Parameters for SfM-Based 3D Reconstruction of Buildings by Inho Jo, Yunku Lee, Namhyuk Ham, Juhyung Kim, Jae-Jun Kim

    Published 2025-06-01
    “…This study aims to address the critical lack of standardized guidelines for unmanned aerial vehicle (UAV) image acquisition strategies utilizing structure-from-motion (SfM) by focusing on 3D building exterior modeling. A comprehensive experimental analysis was conducted to systematically investigate and quantitatively evaluate the effects of various shooting patterns and parameters on SfM reconstruction quality and processing efficiency. …”
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