Distress-Based Pavement Condition Assessment Using Artificial Intelligence: A Case Study of Egyptian Roads by Mostafa M. Radwan, Sundus A. Faris, Ahmed Y. Barakat, Ahmad Mousa

“…Machine and deep learning algorithms have recently been more instrumental for forecasting pavement conditions. This research uses AI tools to develop a correlation between PCI and collected distress in urban road networks. …”
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Unveiling global flood hotspots: Optimized machine learning techniques for enhanced flood susceptibility modeling by Mahdi Panahi, Khabat Khosravi, Fatemeh Rezaie, Zahra Kalantari, Jeong-A. Lee

“…All maps produced were evaluated based on root mean square error (RMSE), mean squared error (MSE), standard deviation, and area under the receiver operating characteristic curve (AUC). …”
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Personalized Prediction of Total Knee Arthroplasty Mechanics Based on Sparse Input Data—Model Validation Using In Vivo Force Data by Sonja Ehreiser, Malte Asseln, Klaus Radermacher

“…<b>Background/Objectives:</b> Computational models are increasingly used in orthopedic research, such as in the context of total knee arthroplasty (TKA). …”
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Automated generation of discharge summaries: leveraging large language models with clinical data by Matthias Ganzinger, Nicola Kunz, Pascal Fuchs, Cornelia K. Lyu, Martin Loos, Martin Dugas, Thomas M. Pausch

“…By leveraging structured documentation collected for research and quality management, the goal is to assist physicians with editable draft summaries. …”
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Determination of similar material proportions based on orthogonal experiments and neural network optimization in the goaf area by Shengdi Wang, Junzhi Chen, Yonggang Zhang, Xiaowei Qiao, Zhiping Zhang, Xin Wang

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EVALUATION OF THE WIDELY-USED EQUATIONS OF HYDRAULIC LOSS CALCULATION AND CALIBRATION OF THE HAZEN-WILLIAMS EQUATION IN DRIP IRRIGATION LATERALS by Sh. Shafaei, Gh. Zarei, K. Ebrahimi, Sh. Soleimani, M. Shamsi

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High-Precision Trajectory-Tracking Control of Quadrotor UAVs Based on an Improved Crested Porcupine Optimiser Algorithm and Preset Performance Self-Disturbance Control by Junhao Li, Junchi Bai, Jihong Wang

“…Stability analysis further proves that the system satisfies the Lyapunov convergence condition in a finite time. This research provides a theoretical foundation for the high-precision control of UAVs in complex dynamic environments.…”
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Overview of Tensor-Based Cooperative MIMO Communication Systems—Part 2: Semi-Blind Receivers by Gérard Favier, Danilo Sousa Rocha

“…Finally, some perspectives are drawn for future research work.…”
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Comparative analysis dust accumulation impact on PV performance using artificial neural network and machine learning algorithms by Ashutosh Shukla, Rupendra Kumar Pachauri, Athar Hussain, Ahmed Ali, Baseem Khan

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Smart forecasting: Enhancing virtual power plant performance with analytical frameworks by Maja Celeska Krstevska, Petar Krstevski, Mare Srbinovska, Vesna Andova, Aleksandra Krkoleva Mateska

“…The highest error is observed in winter with MAE of 1.594 and R² = 0.631, which is attributed to the lower and more variable solar radiation typical of this season.The findings of this research contribute to the advancement of VPP management strategies by providing accurate and reliable electricity forecasts. …”
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Study on the Influence of Hole Shape and Grain Orientation on the Adsorption Characteristics of Maize Seeds and CFD Analysis by Guocheng Bao, Zhendong Zhang, Lijing Liu, Wei Yang, Jiandong Li, Zhouyi Lv, Xinxin Chen

“…Similarly, the relative error between the force estimated by the airflow drag method for square suction holes and the actual measured force under the same conditions was 17.14%. …”
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Brain metabolic changes associated with post-stroke pathological laughing and crying: an 18F-FDG-PET study in pontine stroke by Soojin Choi, Soojin Choi, Dae Hyun Kim, Won Jun Kang, Yong Wook Kim

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Cognitive considerations for adults with sickle cell disease completing the brief pain inventory by Julia A. O'Brien, Jermon A. Drake, Donald J. Bearden, Kim E. Ono, Soumitri Sil, Lindsey L. Cohen, Alana Karras, Enrico M. Novelli, Charles R. Jonassaint

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Triaxial Response and Elastoplastic Constitutive Model for Artificially Cemented Granular Materials by Xiaochun Yu, Yuchen Ye, Anyu Yang, Jie Yang

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Statistics is not measurement: The inbuilt semantics of psychometric scales and language-based models obscures crucial epistemic differences by Jana Uher

“…These crucial epistemic differences are elaborated using Rosen's general model of measurement, involving the coherent modelling of the (1) objects of research, (2) data generation (encoding), (3) formal manipulation (e.g., statistical analysis) and (4) result interpretation regarding the objects studied (decoding). …”
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Experimental and Computational Fluid Dynamics Simulation Study on the Performance of a Two-stroke Aviation Engine: A Comparative Analysis of Turbulence Models and Mesh Strategies by G. Coskun, Y. Delil, U. Demir

“…The results provide valuable insights for optimizing CFD modeling strategies and can serve as a reference for future research on engine design, performance enhancement, and computational accuracy improvements.…”
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Cognitive costs in motor-cognitive performance assessments depend on movement complexity and cognitive task design by Gülsa Erdogan, Lutz Vogt, Florian Giesche, David Friebe, Winfried Banzer, Winfried Banzer, Andreas Mierau, Andreas Mierau, Thorben Hülsdünker, Thorben Hülsdünker

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Detecting Anomalies in Attributed Networks Through Sparse Canonical Correlation Analysis Combined With Random Masking and Padding by Wasim Khan, Mohammad Ishrat, Ahmad Neyaz Khan, Mohammad Arif, Anwar Ahamed Shaikh, Mousa Mohammed Khubrani, Shadab Alam, Mohammed Shuaib, Rajan John

“…The empirical evaluation across multiple benchmark datasets validates the potential of the proposed approach as a pivotal tool in advancing anomaly detection research and applications.…”
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Transformative agency of students as a resource to form civic consciousness in education system by M. V. Pevnaya, A. N. Tarasova, D. F. Telepaeva, D. S. Protasov

“…The present article is based on the materials of the authors’ research project implemented in 2022 in the Sverdlovsk region. …”
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DETERMINATION OF CHEWING EFFICIENCY IN PATIENTS WITH RESTORED TOOTH CROWN PART by V.V. Nikolov, D M. Korol, D.D. Kindiy, M.D. Korol

“…In contrast, the collation of the indices received after seven days of denture fixation and in 30-days period after it (from 5.112 to 5.132) at p = 0.961 demonstrated changes at the level of statistical error. According to the received research results, prosthesis with the fixed porcelain fused metal dentures promotes patients’ mastication efficiency restoration. …”
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