Online Estimation of the State of Health for the Lithium-Ion Battery Based on Open Circuit Model by Pan Yajia, Junda Li, Wang Tian'An, Yang Shengxun, Zhang Yunxuan, Li Zigang, Hu Yanwen

“…Firstly, the Thevenin model of the lithium-ion battery is established, of which the parameters are identified online by the recursive least squares with forgetting factor algorithm. Then, the OCV model is set up based on the first-order Taylor’s formula where the first-order partial derivation of OCV against state of charge (SOC) is modeled as unmodeled noise. …”
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Two-Dimensional Correlation Infrared Spectroscopy for Rapid Analysis of the Effect of pH on the Secondary Structure Content of Soybean Protein Isolate by LIU Chang, WU Dandan, WANG Ning, WANG Ruiying, WANG Liqi, LIU Feng, YU Dianyu

“…Feature wavebands were identified based on two-dimensional correlation infrared spectra, and predictive modeling of the secondary structure content of SPI against pH was performed using partial least squares (PLS) and arithmetic optimization algorithm-random forests (AOA-RF). …”
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BC-RFMS: blockchain-based rankable fuzzy multi-keyword search scheme by Lixiang Zheng, Hanlin Zhang, Xinrui Ge, Jie Lin, Fanyu Kong, Leyun Yu

“…We also proposed a block-by-block transfer algorithm to prevent surpassing the GasLimit when uploading data to the blockchain. …”
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3D Synthetic Aperture Imaging Method in Spectrum Domain for Low-Cost Portable Ultrasound Systems by Jurij TASINKIEWICZ

“…The method proposed in this paper was about 80 times faster than its counterpart based on the time domain synthetic transmit aperture (TD-STA) approach in the numerical example of a single 3D ultrasound image synthesized from 4 partial images each containing 64 × 64 × 512 pixels. …”
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Numerical insights into enhanced heat transfer mechanisms in TiO2-Au ethylene glycol nanofluids within Darcy porous media using fractional calculus by Mumtaz Khan, Dianchen Lu, Mudassar Imran, Muhammad Shoaib Anwar

“…The complex fractional partial differential equations governing the system are solved numerically using the finite difference method in combination with the L1 algorithm, ensuring an efficient and accurate solution process. …”
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Intelligent hierarchical federated learning system based on semi-asynchronous and scheduled synchronous control strategies in satellite network by Qiang Mei, Rui Huang, Duo Li, Jingyi Li, Nan Shi, Mei Du, Yingkang Zhong, Chunqi Tian

“…Additionally, the cloud server selection algorithm and the edge-client semi-asynchronous control strategy minimize clients’ waiting time, improving the overall efficiency of the FL process. …”
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Characterizing Wake Behavior of Adaptive Aerodynamic Structures Using Reduced-Order Models by Kyan Sadeghilari, Aditya Atre, John Hall

“…The previous study used a genetic algorithm to obtain nine TAD shapes that maximized aerodynamic efficiency in Region 2. …”
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Development of Robust Behaviour Recognition for an at-Home Biomonitoring Robot with Assistance of Subject Localization and Enhanced Visual Tracking by Nevrez Imamoglu, Enrique Dorronzoro, Zhixuan Wei, Huangjun Shi, Masashi Sekine, José González, Dongyun Gu, Weidong Chen, Wenwei Yu

“…Therefore, we proposed a fast, simple, and person specific new activity recognition model by making full use of localization information, which is robust to partial occlusion. The proposed activity recognition algorithm was tested on different walking patterns with different subjects, and the results showed high recognition accuracy.…”
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Computationally Efficient Light Field Video Compression Using 5-D Approximate DCT by Braveenan Sritharan, Chamira U. S. Edussooriya, Chamith Wijenayake, R. J. Cintra, Arjuna Madanayake

“…To further reduce the computational complexity, our algorithm exploits the partial separability of LFV representations. …”
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A resected case of acinar cell carcinoma of the pancreas with liver metastasis following chemotherapy using modified FOLFIRINOX by Shuhei Yamada, Haruka Motegi, Yoshiki Kurihara, Tomonori Shimbo, Isao Kikuchi, Toshiki Wakabayashi, Tsutomu Sato

“…It has been reported that it responds to treatment differently from pancreatic ductal adenocarcinoma and the treatment algorithm for acinar cell carcinoma usually depends on the stage of the respective tumor and the patient’s current status. …”
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Fast and Scalable Dynamic Gas Network Modeling and Simulation Framework With Gas Composition Tracking by Yifei Lu, Andrew Ivan Sulimro, Thiemo Pesch, Andrea Benigni

“…On top of that, a batch-tracking algorithm is implemented to accurately track the propagation of the gas mixture composition in the gas pipeline network. …”
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INTEGRATED ASSESSMENT AND MAPPING OF ANTHROPOGENIC IMPACT ON THE NATURAL ENVIRONMENT OF RUSSIAN REGIONS by V. S. Tikunov, S. K. Belousov

“…Based on the obtained set of indicators for the study, a two-stage evaluation algorithm developed by one of the authors was chosen [Tikunov, 1997]. …”
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Comparison of Geographical Traceability of Wild and Cultivated Macrohyporia cocos with Different Data Fusion Approaches by Li Wang, Qinqin Wang, Yuanzhong Wang, Yunmei Wang

“…Supervised pattern recognition techniques, like partial least squares discriminant analysis (PLS-DA) and random forest, were employed in this study using. …”
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Optimized physics-informed neural networks for deciphering of external source pollutants in a swirling flow induced by a constant torsional motion by Shridhar M, Umair Khan, Rahul Makwana, Ankur Kulshreshta, N.B. Naduvinamani

“…This model is optimized by a hybrid genetic algorithm and particle swarm optimization to address the flow, heat and mass transport attributes via neural networks. …”
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Design and Practical Evaluation of Robust Model Predictive Wind Turbine Control by Andreas Klein, Thorben Wintermeyer‐Kallen, János Zierath, Kevin Kluge, Dirk Abel, Heike Vallery, Maximilian Basler

“…We evaluate the proposed control algorithm in terms of time‐domain performance and power curve in simulation. …”
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Green synthesis of self-oriented flower-like Ag@Ag2O nanostructures functionalized with L-Tryptophan for colorimetric simultaneous determination of ultra-trace level of thiamin and... by Maryam Abbasi Tarighat, Zahra Khosravani, Gholamreza Abdi

“…The study is the first to report simultaneous determination of thiamin and riboflavin using a colorimetric sensor based on Ag@Ag2O-L-Try nanocomposites using partial leas square (PLS). The dynamic range of thiamin and riboflavin was achieved in 0.1 mol L−1 acetate buffer pH 4 and the ratio Ag@Ag2O: L-try 1:1. …”
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Mathematical solutions for coupled nonlinear equations based on bioconvection in MHD Casson nanofluid flow by Khalil Ur Rehman, Nosheen Fatima, Wasfi Shatanawi, Nabeela Kousar

“…The mathematical formulation of fluid flow problems often results in coupled nonlinear partial differential equations (PDEs); hence, their solutions remain a challenging task for researchers. …”
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Modal analysis of a 20-degree-of-freedom model of a transport aircraft wing by Oleksii Starodub

“…The objectives include: developing a model that accounts for spanwise variations in bending and torsion; considering the partial-span location of the aileron; and incorporating the positions of the wing’s stiffness axis and mass center axis. …”
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Comparative Analysis of Automated Machine Learning for Hyperparameter Optimization and Explainable Artificial Intelligence Models by Muhammad Salman Khan, Tianbo Peng, Hanzlah Akhlaq, Muhammad Adeel Khan

“…One of the most significant challenges in AI lies in selecting and fine-tuning the optimal algorithm for a given task. Automated Machine Learning (AutoML) models have emerged as a promising solution to address this challenge by systematically exploring hyperparameter spaces to identify optimal configurations efficiently. …”
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Planococcus citri in coffee trees by supervised classification using multispectral images by Kamila Fernanda Rossati, Vanessa Andaló, George Deroco Martins, Gleice Aparecida de Assis, Vinícius Silva Werneck Orlando, Letícia Pasqualin Messias Arriero, Lucas Silva de Faria, Renan Zampiroli

“…The classifications were made using Artificial Neural Networks (ANN), Support Vector Machine (SVM), and Random Forest algorithms. The results confirmed the possibility of distinguishing between healthy and P. citri infested plants using algorithms based on machine learning. …”
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