Air pressure forecasting for the Mutriku oscillating‐water‐column wave power plant: Review and case study by Jorge Marques Silva, Susana M. Vieira, Duarte Valério, João C. C. Henriques, Paul D. Sclavounos

“…A Least Squares Support Vector Machine (LS‐SVM) algorithm was developed to predict the air chamber pressure and compare it to the real signal. …”
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Development of Advanced Machine Learning Models for Predicting CO₂ Solubility in Brine by Xuejia Du, Ganesh C. Thakur

“…This work demonstrates the robustness and adaptability of ML approaches for modeling complex subsurface conditions, paving the way for optimized carbon sequestration strategies.…”
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On development of in-core fuel system for PWR reactors: Part I generation of macroscopic cross sections using SCALE 6.0 for use in nodal calculation by Pedro Henrique Silva Rodrigues, José Rubens Maiorino, Roberto Asano Júnior

“…The cross sections are generated with the support of SCALE 6.0, computational platform developed by the Reactor and Nuclear Systems Division (RNSD), from the Oak Ridge National Laboratory (ORNL). …”
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Theoretical and numerical study of profit in agricultural sector model using wavelet method by Yeshwanth R., Kumbinarasaiah S.

“…Agriculture is crucial in India’s economy and society, supporting rural livelihood and national food security. …”
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The applications of CT with artificial intelligence in the prognostic model of idiopathic pulmonary fibrosis by Zeyu Chen, Zheng Lin, Zihan Lin, Qi Zhang, Haoyun Zhang, Haiwen Li, Qing Chang, Jianqi Sun, Feng Li

“…It reveals the current limitations and prospects of AI-aid models, and helps clinicians to recognize the AI algorithms and apply them to more clinical work.…”
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Dynamic Adaptation for Independent Task Scheduling Using Dynamic Programming in Multiprocessor Systems by Lotfi BENDIAF, Ahmed HARBOUCHE, Mohammed Amin TAHRAOUI

“…Efficient scheduling requires optimizing competing objectives, such as minimizing makespan and maximizing processor utilization, to ensure that resources are used effectively. In this work, we propose DYnamic Task Allocation using dynamic programminG (DyTAg), a task scheduling algorithm based on dynamic programming, designed to support dynamic adaptation in HCS. …”
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Neural network inspired efficient scalable task scheduling for cloud infrastructure by Punit Gupta, Arnaav Anand, Pratyush Agarwal, Gavin McArdle

“…The rapid development of Cloud Computing in the 21st Century is landmark occasion, not only in the field of technology, but also in the field of engineering and services. …”
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LP-HENN: fully homomorphic encryption accelerator with high energy efficiency by Zhuoyu Tian, Lei Chen, Shengyu Fan, Xianglong Deng, Rui Hou, Dan Meng, Mingzhe Zhang

“…The energy efficiency of LP-HENN is comparable to that of F1, the state-of-the-art ASIC FHE accelerator, while featuring a low power design suitable for edge computing.…”
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A factor analysis based automatic optimization method of vibration sensor points for ship acoustic reconstruction by Linchang Ye, Yun Liu, Zongpeng Tong, Zhaowang Xia, Wenkun Fan, Chunyu Zhang, Junhua Guo, Jianping Shen

“…The proposed method effectively captures the dynamic characteristics of complex structures and their impact on underwater radiated noise, and the integration of factor analysis can prominently enhance the computational efficiency, thereby providing technical support for engineering applications to the ship acoustic reconstruction.…”
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Exploring the Realization of Creative Dimensions within the Metaverse: The Case of Tabriz Metropolis by Saied Jaffari namvar, Hossein Nazmfar, Ibrahim Taghav

“…Creative people need space to live, work, inspire and display their work. Unfortunately, such spaces do not meet the needs of the creative class in most areas of Tabriz metropolis. …”
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Obstacle-Avoidance Planning in C-Space for Continuum Manipulator Based on IRRT-Connect by Yexing Lang, Jiaxin Liu, Quan Xiao, Jianeng Tang, Yuanke Chen, Songyi Dian

“…Simulation and experimental results demonstrate that the proposed algorithm rapidly generates collision-free arm configuration trajectories with high trajectory coincidence in typical GIS chamber scenarios, verifying its comprehensive advantages in real-time performance, safety, and motion smoothness. This work provides theoretical support for the application of continuum manipulator in precision operation and maintenance of power equipment.…”
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High-Efficiency Multi-Standard Polynomial Multiplication Accelerator on RISC-V SoC for Post-Quantum Cryptography by Duc-Thuan Dam, Trong-Hung Nguyen, Thai-Ha Tran, Duc-Hung Le, Trong-Thuc Hoang, Cong-Kha Pham

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Atmospheric Transport Modeling of CO2 With Neural Networks by Vitus Benson, Ana Bastos, Christian Reimers, Alexander J. Winkler, Fanny Yang, Markus Reichstein

“…Both, stable predictions for longer time horizons and mass conservation throughout need to be achieved, while IO plays a larger role compared to computational costs. In this study we explore four different deep neural networks (UNet, GraphCast, Spherical Fourier Neural Operator and SwinTransformer) which have proven as state‐of‐the‐art in weather prediction to assess their usefulness for atmospheric tracer transport modeling. …”
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Integrating AutoGluon for Real-Time Monitoring and Classification of Dental Equipment Performance by Muxiu Yang, Fengzhou Li, Wenfeng Qiu

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Extreme Gradient Boosting Algorithm for Predicting Shear Strengths of Rockfill Materials by Mahmood Ahmad, Ramez A. Al-Mansob, Kazem Reza Kashyzadeh, Suraparb Keawsawasvong, Mohanad Muayad Sabri Sabri, Irfan Jamil, Arnold C. Alguno

“…The XGBoost model was compared against support vector machine (SVM), adaptive boosting (AdaBoost), random forest (RF), and K-nearest neighbor (KNN) models described in the literature. …”
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An automated approach to identify sarcasm in low-resource language. by Shumaila Khan, Iqbal Qasim, Wahab Khan, Aurangzeb Khan, Javed Ali Khan, Ayman Qahmash, Yazeed Yasin Ghadi

“…Automatic sarcasm detection in text involves using computational methods to determine if a given statement is intended to be sarcastic. …”
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Incorporation of XAI and Deep Learning in Biomedical Imaging: A Review by Sushil K. Singh, Bal Virdee, Saurabh Aggarwal, Abhilash Maroju

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Production and analysis of the biological properties of recombinant human granulocyte colony stimulating factor chimeric form by M. B. Pykhtina, V. P. Romanov, S. M. Miroshnichenko, A. B. Beklemishev

“…The aim of this work was to design and study biological properties of the recombinant human granulocyte colony stimulating factor (G-CSF), «linked» to apolipoprotein A-I (apoA-I) by a peptide linker, for obtaining in perspective a prolong form of the drug based on this cytokine.Material and methods. …”
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Diagnosis by SAM Linked to Machine Vision Systems in Olive Pitting Machines by Luis Villanueva Gandul, Antonio Madueño-Luna, José Miguel Madueño-Luna, Miguel Calixto López-Gordillo, Manuel Jesús González-Ortega

“…Computer Vision (CV) has proven to be a powerful tool for automation in agri-food industrial processes, offering high-precision solutions tailored to specific working conditions. …”
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COLD-12: A multi-level feature extraction hybrid CNN Model for accurate cotton disease diagnosis by Md. Asraful Sharker Nirob, Prayma Bishshash, A K M Fazlul Kobir Siam

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