AI‐Based Digital Rocks Augmentation and Assessment Metrics by Lei Liu, Bernard Chang, Maša Prodanović, Michael J. Pyrcz

“…Abstract Reliable uncertainty model calculation in subsurface engineering from pore‐ and grain‐scale to field‐scale relies on sufficient data, but subsurface data set acquisition remains a challenge, particularly in domains where data collection is expensive or time‐consuming, such as Computed Topography (CT) imaging for digital rock images. …”
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A Systematic Review of Pretrained Models in Automated Essay Scoring by Ahmed M. Elmassry, Nazar Zaki, Negmeldin Alsheikh, Mohammed Mediani

“…However, pretrained models face several limitations, such as high computational costs, long input text length, and explainability. …”
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Short-Range Nonstationary Clutter Suppression for Airborne KA-STAP Radar in Complex Terrain Environment by Yuanyi Xiong, Wenchong Xie, Yongliang Wang, Wei Chen, Ming Hou

“…On the other hand, 3D-STAP technology is used to effectively suppress nonstationary clutter. Computer simulation and experimental results verify the effectiveness of the proposed method.…”
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Semi-Analytical Solutions for Time-Fractional Fisher Equations via New Iterative Method by Shivaji Ashok Tarate Tarate, A. P. Bhadane, S.B. Gaikwad, K.A. Kshirsagar

“…Mathematical modelling relies on the effectiveness and simplicity of the NSTIM approach to solve time-fractional Fisher equations since it enables precise solutions without the use of a lot of processing power. The NSTIM approach is a useful tool for researchers in a variety of domains since it also offers a flexible framework that is easily adaptable to other fractional differential equations. …”
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Learning From Detailed Maps: Joint 2D-3D Semantic Segmentation for Airborne Data with Selective Label Fusion by G. Anjanappa, S. Oude Elberink, G. Vosselman

“…These results demonstrate the potential of maps and DL to automate the labeling of images and point clouds, helping to create and update maps while also generating valuable labeled datasets for other computer vision tasks.…”
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Management of spontaneous carotid artery rupture: navigating life-threatening challenges and persistent risks by Andreia Pinelo, Daniel Mendes, Joana Martins, Samuel Cardoso, Rui Machado

“…Balancing short-term benefits with potential medium- and long-term complications remains critical to the decision-making process. …”
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Packing Unequal Circles into a Minimum-Radius Circle Using r-Algorithm by Bohdan Zadorozhnyi, Tetyana Romanova, Petro Stetsyuk, Stanislav Tyvodar, Sergiy Shekhovtsov

“…For the first version, the step value is halved during the iteration process. The second version provides an option that allows to restore the maximum value of the r-algorithm step value. …”
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Multi-objective topology optimization of porous microstructure in die-bonding layer of a semiconductor by Jiaxin Zhou, Ikumu Watanabe, Weikang Song, Keita Kambayashi, Ta-Te Chen

“…In this optimization process, we employed a weighted sum method to find optimal compromised microstructures. …”
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A data-driven multicriteria decision model for healthcare workforce retention strategies by Debora Di Caprio, Sofia Sironi, Fan-Yun Lan, Ramin Rostamkhani

“…Finally, the satisfaction index is formalized and computed for different groups of employees (phase 4). …”
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Optimizing Rotary Cement Kiln modelling: A comparative analysis of metaheuristics in a real-world application by Miguel Ángel Castán-Lascorz, Antonio Alcaide-Moreno, Jorge Arroyo

“…This study introduces a real-world metaheuristic application designed to minimize the simulation errors of a novel one-dimensional (1D) numerical model of a rotary cement kiln, calibrated by Computational Fluid Dynamics (CFD) results. This model aims to significantly reduce simulation time, facilitating the analysis of multiple scenarios. …”
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Volatile fatty acids recovery from thermophilic acidogenic fermentation using hydrophobic deep eutectic solvents by Can Liu, Xueyao Zhang, Qi Qiao, Zhiwu Wang, Qing Shao, Jian Shi

“…Conclusions This study demonstrated a novel continuous VFA extraction technology based on HDESs and elucidates the impact of temperature, pH, impurities in real fermentate and the applicability of an integrated membrane system through combined experimental and computational approaches.…”
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MCATD: Multi-Scale Contextual Attention Transformer Diffusion for Unsupervised Low-Light Image Enhancement by Cheng da, Yongsheng Qian, Junwei Zeng, Xuting Wei, Futao Zhang

“…Despite significant advances, existing methods struggle with three fundamental challenges: 1) difficulty in simultaneously preserving structural details while reducing noise, 2) limited generalization across diverse lighting conditions and scene types, and 3) computational inefficiency when processing complex natural scenes. …”
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An analysis of missed injuries in patients with severe trauma by EunGyu Ju, Sun Young Baek, Sung Soo Hong, Younghwan Kim, Seok Hwa Youn

“…Conclusions TTS is considered a useful process for detecting missed injuries that were not identified at the time of initial resuscitation in the primary and secondary surveys. …”
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SeqConv-Net: A Deep Learning Segmentation Framework for Airborne LiDAR Point Clouds Based on Spatially Ordered Sequences by Bin Guo, Chunjing Yao, Hongchao Ma, Jie Wang, Junhao Xu

“…Experiments show that the SeqConv-Net architecture achieves 75.5% mean Intersection Over Union (mIOU) accuracy on the DALES dataset, with the total processing speed from data preprocessing to prediction being several to tens of times faster than existing methods. …”
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PS-YOLO: A Lighter and Faster Network for UAV Object Detection by Han Zhong, Yan Zhang, Zhiguang Shi, Yu Zhang, Liang Zhao

“…This increases the likelihood of false positives and missed detections, thereby complicating the detection process. Furthermore, the hardware resources available on UAV platforms are typically highly constrained. …”
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Numerical Permeation Models to Predict the Annulus Composition of Flexible Pipes by João Marcos B. Vieira, José Renato M. de Sousa

“…The migration of acid gases through the pressure sheath of flexible pipes may induce a corrosive environment that can lead to steel armors’ failure by SCC (stress corrosion cracking). This permeation process depends on temperature, partial pressures, materials, and the pipe’s geometry. …”
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Emerging technologies and applications in multimodality imaging for ischemic heart disease: current state and future of artificial intelligence by Praveen Kumar Chandra Sekar, Ramakrishnan Veerabathiran

“…AI algorithms can optimize image acquisition, processing, and interpretation of complex imaging data. …”
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Innovative approaches for skin disease identification in machine learning: A comprehensive study by Kuldeep Vayadande, Amol A. Bhosle, Rajendra G. Pawar, Deepali J. Joshi, Preeti A. Bailke, Om Lohade

“…The field of dermatology has seen a change in recent years due to the convergence of artificial intelligence and medicine, which has produced creative methods for computer-aided diagnostics. Machine learning has become a potent tool in the search for more precise and effective diagnostic techniques because of its capacity to analyze enormous volumes of data and identify intricate patterns. …”
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Inconsistency evaluation of the curriculum logical structure by Yu. D. Ageev, S. V. Fedoseev, Yu. A. Kavin, S. G. Vorona, I. S. Pavlovskiy

“…The main purpose of creating a curriculum is to regulate academic disciplines in accordance with the logic of the learning process, defined by the relationship between the basic concepts of the disciplines. …”
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The Impact of Integrating Shallow and Deep Information on Knowledge Distillation by Yilin Miao, Yuhong Tang, Huangliang Ren, Jianjun Li

“…It effectively addresses issues such as gradient vanishing and degradation in deep neural networks, making the training process more manageable. As a deep network architecture, ResNet is proficient in feature extraction and is frequently used as a backbone for knowledge refinement. …”
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