Enhancing consistency in piping and instrumentation diagrams using DistilBERT and smart PID systems by F.S. Gómez-Vega, O. Acuña, Andrea C. Camargo, Jeison D. Jimenez, Sara M. Galeano, Isabella E. Franco, Laura L. Lozano, Jenifer Vásquez, Edwin Puertas

“…The model’s performance was validated by domain experts, who confirmed the detected inconsistencies as highly accurate. Our approach significantly reduces the manual effort required for P&ID review and improves design consistency, demonstrating the potential for enhanced safety and efficiency in complex industrial projects. …”
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A multi-robot collaborative manipulation framework for dynamic and obstacle-dense environments: integration of deep learning for real-time task execution by Afnan Ahmed Adil, Saber Sakhrieh, Jinane Mounsef, Noel Maalouf

“…This multirobot architecture is adaptable, allowing configuration of team size for collaborative tasks based on load requirements and environmental complexity. By integrating computer vision and deep learning for visual processing, and YOLOv2 for object detection, the system efficiently identifies, picks, and transports objects to designated locations, demonstrating the scalability of multi-robot framework for future applications in logistics automation, collaborative manufacturing, and dynamic human-robot interaction scenarios.…”
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Attention-based integrated deep neural network architecture for predicting the effectiveness of data center power usage by Yang-Cheng Shih, Sathesh Tamilarasan, Chin-Sheng Chen, Omid Ali Zargar, Yean-Der Kuan

“…The integration of convolutional layers processes hourly data inputs efficiently, reducing complexity and improving pattern detection. …”
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Electrochemical Immunosensors on Laser-Induced Graphene Platforms for Monitoring of Anti-RBD Antibodies After SARS-CoV-2 Infection by Beatriz R. Martins, Cristhianne Molinero R. Andrade, Guilherme F. Simão, Rhéltheer de Paula Martins, Lucas V. de Faria, Tiago A. Matias, Virmondes Rodrigues Júnior, Rodrigo Alejandro Abarza Munoz, Renata Pereira Alves

“…In this context, electrochemical biosensors present themselves as promising tools for the efficient monitoring of SARS-CoV-2 infection. We have developed a highly specific biosensor for the detection of anti-SARS-CoV-2 antibodies in patient sera. …”
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Individual Segmentation of Intertwined Apple Trees in a Row via Prompt Engineering by Herearii Metuarea, François Laurens, Walter Guerra, Lidia Lozano, Andrea Patocchi, Shauny Van Hoye, Helin Dutagaci, Jeremy Labrosse, Pejman Rasti, David Rousseau

“…These results underscore the potential of foundational models guided by well-designed prompts as scalable and annotation-efficient solutions for plant segmentation in complex agricultural environments.…”
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Comparative Study on the Prevention and Control Effects of Rockburst Between Hydraulic Fracturing Sections and Blank Sections by Shuo Yang, Jiang Bian, Aixin Liu, Xiaoyang Li, Fuhong Li, Xingen Ma, Siyuan Gong

“…Influenced by various factors such as the complex environment and high key layers in coal mines, hydraulic fracturing technology has gradually become the main means of controlling the hard roof strata to prevent and control rockburst in recent years, which can effectively release the stress on the roof, reduce the intensity of pressure, and ensure the safe and efficient mining of the working face in coal mines. …”
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A novel nonparametric adaptive kernel density estimation method for removing nonrandom noise from ICESat-2 photon-counting LiDAR data by Zijia Wang, Sheng Nie, Cheng Wang, Xiaohuan Xi, Xiaoxiao Zhu, Jieying Lao, Bisheng Yang

“…These two noise types often coexist in large-scale regions, yet most existing parameterized algorithms are designed to address only one, limiting their denoising effectiveness in complex environments. To address this challenge, a robust nonparametric density estimation algorithm is proposed to efficiently remove nonrandom noise while ensuring accurate surface elevation retrieval. …”
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Advancing perovskite solar cells: Optical characterization and performance enhancement via spectroscopic ellipsometry by Eri Widianto, Bhisma Mahendra, Muhammad Riswan, Frendy Jaya Kusuma, Kardiman, Eka Nurfani, Indra Pardede, Natalita Maulani Nursam, Kuwat Triyana, Iman Santoso

“…Precise characterization of these optical properties, especially in complex, multi-layered systems, is crucial. Spectroscopic ellipsometry (SE) is a vital technique for analyzing thin films. …”
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Techno-Economic Optimization and Assessment of Solar Photovoltaic–Battery–Hydrogen Energy Systems with Solar Tracking for Powering ICT Facility by Olubayo Babatunde, Oluwaseye Adedoja, Oluwaseun Oyebode, Uthman Abiola Kareem, Damilola Babatunde, Toyosi Adedoja, Busola Akintayo, Michael Emezirinwune, Desmond Eseoghene Ighravwe, Olufemi Ogunniran, Olanrewaju Oludolapo

“…This paper addresses the critical issue of selecting the optimal solar tracking configuration for maximum energy generation, given the increasing demand for sustainable energy solutions in information and communication technology (ICT) facilities. …”
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Optimization of Speed Limit Method for Freeways Considering AVs Under Rainy Weather by Le Yu, Qin Luo, Jianying He

“…The intelligent driver model (IDM) was selected as the basis for this study due to its complexity and applicability. …”
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Optimizing Nile Tilapia growth and production costs in earthen ponds using multi-objective adaptive artificial intelligence systems by Keartisak Sriprateep, Rapeepan Pitakaso, Surajet Khonjun, Peerawat Luesak, Achara Jutagate, Chutchai Kaewta, Thanatkij Srichok, Monika Kosacka-Olejnik, Surasak Matitopanum

“…The Taguchi DOE method efficiently designs experiments by selecting essential variables and their levels. …”
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Improving Malaria diagnosis through interpretable customized CNNs architectures by Md. Faysal Ahamed, Md Nahiduzzaman, Golam Mahmud, Fariya Bintay Shafi, Mohamed Arselene Ayari, Amith Khandakar, M. Abdullah-Al-Wadud, S. M. Riazul Islam

“…The SPCNN model, with 2.207 million parameters and a size of 26 MB, is more complex than PCNN but simpler than SFPCNN. Despite this, SPCNN exhibited the fastest testing times (0.00252 s), making it more computationally efficient than both PCNN and SFPCNN. …”
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Synthetic Data Generation and Evaluation Techniques for Classifiers in Data Starved Medical Applications by Wan D. Bae, Shayma Alkobaisi, Matthew Horak, Siddheshwari Bankar, Sartaj Bhuvaji, Sungroul Kim, Choon-Sik Park

“…With their ability to find solutions among complex relationships of variables, machine learning (ML) techniques are becoming more applicable to various fields, including health risk prediction. …”
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Surfactant-mediated transport behavior of zinc oxide nanoparticles in porous media by Yujue Wang, Zhou Cheng, Ming Wu, Yanru Hao

“…Nanomaterials and surfactants are widely detected in soil-groundwater environments, while the surfactant-mediated transport behavior of nanoparticles has not been sufficiently investigated. …”
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Wind Turbine Static Errors Related to Yaw, Pitch or Anemometer Apparatus: Guidelines for the Diagnosis and Related Performance Assessment by Davide Astolfi, Silvia Iuliano, Antony Vasile, Marco Pasetti, Salvatore Dello Iacono, Alfredo Vaccaro

“…The optimization of the efficiency of wind turbine systems is a fundamental task, from the perspective of a growing share of electricity produced from wind. …”
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Targeting atrial fibrillation in HFpEF: the emerging role of pulsed field ablation by A. S. Parwani, A. S. Parwani, A. S. Parwani, B. Kossmann, B. Kossmann, V. Schweiger, V. Schweiger, V. Schweiger

“…However, further robust, randomized studies are necessary to define its long-term benefits and may establish PFA as a standard therapy in this complex patient cohort.…”
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Investigating the influence of soil organic carbon on pore structure within aggregates by Jingjing Liu, Yu Tian, Chiara Pasut, Mark Farrell, Shenggao Lu

“…This study aimed to move beyond the traditional “black box” view of soil by visualizing the complex interactions between soil organic carbon (SOC) and soil structure with a new method. …”
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Research on a traditional Chinese medicine case-based question-answering system integrating large language models and knowledge graphs by Yuchen Duan, Qingqing Zhou, Yu Li, Chi Qin, Ziyang Wang, Hongxing Kan, Hongxing Kan, Jili Hu, Jili Hu

“…However, traditional case studies face challenges such as large data volumes, complex information, and difficulties in efficient retrieval and analysis. …”
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AI and Interventional Radiology: A Narrative Review of Reviews on Opportunities, Challenges, and Future Directions by Andrea Lastrucci, Nicola Iosca, Yannick Wandael, Angelo Barra, Graziano Lepri, Nevio Forini, Renzo Ricci, Vittorio Miele, Daniele Giansanti

“…In total, 27 review studies were selected through the systematic process. Based on the overview, the integration of artificial intelligence (AI) in interventional radiology (IR) presents significant opportunities to enhance precision, efficiency, and personalization of procedures. …”
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Analisis penerapan artificial intellegence (AI) pada manajemen risiko rantai pasok by Ulfah Amirah Khairi, Nurbaiti Nurbaiti, Budi Dharma

“…Global supply chains face various complex and evolving risks, such as logistics disruptions, fluctuations in raw material prices, and natural disasters. …”
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