Stability Assessment of Concrete Gravity Dams via Multifidelity Surrogate Models by Rodrigo José de Almeida Torres Filho, Rocio L. Segura, Patrick Paultre

“…The goodness of fit of the models and the computational time to produce the dataset are used to identify the combination that optimizes the MFS model performance. …”
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Bayesian calibration and uncertainty quantification for a large nutrient load impact modelZenodoZenodoZenodo by Karel Kaurila, Risto Lignell, Frede Thingstad, Harri Kuosa, Jarno Vanhatalo

“…., harmful algal biomass growth. Due to being computationally heavy, the uncertainties related to these predictions are typically not rigorously assessed though. …”
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SELECTING RATED CAPACITY FOR POWER TRANSFORMERS by M. I. Fursanov, I. I. Dul

“…The thermal transient-processes computation results for a transformer with   a 168-hour random electrical-load list demonstrate the performance capabilities of the offered  method.…”
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A feature-based approach for atlas selection in automatic pelvic segmentation. by Guoping Shan, Xue Bai, Yun Ge, Binbing Wang

“…However, atlas-based segmentation still faces challenges due to the lack of representative atlas dataset and the computational limitations of deformation algorithms. …”
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Key accelerometry measures for understanding walking sway during dual-task exercises by Abdulaziz A. Alkathiry

“…Data analysis involved multiple computation methods applied to the acceleration data, with comparisons made using different frequency cutoffs and mean referencing. …”
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Occipital Condyle Fracture: A Case Report of a Typically Stable Fracture That Required Surgical Treatment by Takeshi Suzuki, Satoshi Maki, Masaaki Aramomi, Tomonori Yamauchi, Manato Horii, Koui Kawamura, Hiroshi Sugiyama, Seiji Ohtori

“…Confirming reduction of the atlantooccipital facet joint and the atlantoaxial joint by computed tomography, we performed an occipitocervical fusion. …”
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A Review on Inverse Kinematics, Control and Planning for Robotic Manipulators With and Without Obstacles via Deep Neural Networks by Ana Calzada-Garcia, Juan G. Victores, Francisco J. Naranjo-Campos, Carlos Balaguer

“…These methods can reduce the computational cost and provide results for every situation avoiding singularities. …”
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Vehicle Detection for Vision-Based Intelligent Transportation Systems Using Convolutional Neural Network Algorithm by Othman O. Khalifa, Muhammad H. Wajdi, Rashid A. Saeed, Aisha H. A. Hashim, Muhammed Z. Ahmed, Elmustafa Sayed Ali

“…Software based solutions using traditional algorithms such as Histogram of Gradients (HOG) and Gaussian Mixed Model (GMM) are computationally slow and not suitable for real-time traffic detection. …”
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Image Super-Resolution Reconstruction Based on the Lightweight Hybrid Attention Network by Chu Yuezhong, Wang Kang, Zhang Xuefeng, Liu Heng

“…In order to solve the problem that the current image super-resolution model has too many parameters and high computational complexity, this paper proposes a lightweight hybrid attention network (LHAN). …”
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Integrating Explainable Artificial Intelligence in Extended Reality Environments: A Systematic Survey by Clara Maathuis, Marina Anca Cidota, Dragoș Datcu, Letiția Marin

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An Efficient Approach to Mining Maximal Contiguous Frequent Patterns from Large DNA Sequence Databases by Md. Rezaul Karim, Md. Mamunur Rashid, Byeong-Soo Jeong, Ho-Jin Choi

“…Mining interesting patterns from DNA sequences is one of the most challenging tasks in bioinformatics and computational biology. Maximal contiguous frequent patterns are preferable for expressing the function and structure of DNA sequences and hence can capture the common data characteristics among related sequences. …”
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Robustness of Dengue Complex Network under Targeted versus Random Attack by Hafiz Abid Mahmood Malik, Faiza Abid, Mohamed Ridza Wahiddin, Zeeshan Bhatti

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A Fatigue Life Prediction Method for the Drive System of Wind Turbine Using Internet of Things by Hang Zhou, Shi-Jun Yi, Ya-Fei Liu, Yong-Quan Hu, Yong Xiang

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Enhancing Essay Scoring: An Analytical and Holistic Approach With Few-Shot Transformer-Based Models by Tahira Amin, Zahoor-Ur-Rehman Tanoli, Farhan Aadil, Khalid Mahmood Awan, Sangsoon Lim

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Forest Fire Prevention, Detection, and Fighting Based on Fuzzy Logic and Wireless Sensor Networks by Josué Toledo-Castro, Pino Caballero-Gil, Nayra Rodríguez-Pérez, Iván Santos-González, Candelaria Hernández-Goya, Ricardo Aguasca-Colomo

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MAGAN: Unsupervised Low-Light Image Enhancement Guided by Mixed-Attention by Renjun Wang, Bin Jiang, Chao Yang, Qiao Li, Bolin Zhang

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Topic Detection and Tracking Techniques on Twitter: A Systematic Review by Meysam Asgari-Chenaghlu, Mohammad-Reza Feizi-Derakhshi, Leili Farzinvash, Mohammad-Ali Balafar, Cina Motamed

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CC2: Defending Hybrid Worm on Mobile Networks with Two-Dimensional Circulation Control by Hailu Yang, Deyun Chen, Guanglu Sun, Xiaoyu Ding, Yu Xin

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A travelable area boundary dataset for visual navigation of field robots by Kai Zhang, Xia Yuan, Jiachen Xu, Kaiyang Wang, Shiwei Wu, Chunxia Zhao

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Multiagent Reinforcement Learning-Based Taxi Predispatching Model to Balance Taxi Supply and Demand by Yongjian Yang, Xintao Wang, Yuanbo Xu, Qiuyang Huang

“…Besides, in order to reduce computational complexity, we propose several methods to reduce the state space and action space of reinforcement learning. …”
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