Copula-Based Regression with Mixed Covariates by Saeed Aldahmani, Othmane Kortbi, Mhamed Mesfioui

“…These estimators range from non-parametric to semi-parametric and fully parametric, offering flexibility in modeling regression relationships. An adapted algorithm is applied to construct copulas and simulations are carried out to replicate datasets, estimate prediction model parameters, and compare with the OLS method. …”
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Forecasting Model for Danube River Water Temperature Using Artificial Neural Networks by Cristina-Sorana Ionescu, Ioana Opriș, Daniela-Elena Gogoașe Nistoran, Constantin-Alexandru Baciu

“…The ANN uses the Levenberg–Marquardt feedforward backpropagation algorithm. This feature is useful for the irrigation systems and for the power plants in the area that use river water for different purposes. …”
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Integrated remote sensing, machine learning and geospatial approach for site selection of sewage treatment plants in the metropolitan city by S. Rajalakshmi, S. Subathradevi, Abdulaziz G. Alghamdi, Hadeel Alsolai

“…A Random Forest (RF) algorithm was applied to enhance spatial prediction. …”
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Research on a Fusion Technique of YOLOv8-URE-Based 2D Vision and Point Cloud for Robotic Grasping in Stacked Scenarios by Xuhui Ye, Xiaoyang Qin, Leming Zhan, Jun Wang, Yan Chen

“…To address these challenges, this paper proposes a grasp pose estimation algorithm that integrates 2D object detection based on YOLOv8-URE with 3D point cloud registration. …”
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Online Calibration of Inertial Sensors Based on Error Backpropagation by Vojtech Simak, Jan Andel, Dusan Nemec, Juraj Kekelak

“…We performed data fusion using an extended Kalman filter (EKF) and calibrated the input sensors through error backpropagation. The algorithm thus calibrates the INS sensors while the GNSS receiver signal is good, and after a GNSS failure, for example in tunnels, the position is predicted only by low-cost inertial sensors. …”
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Advanced modeling of salt-inducible kinase (SIK) inhibitors incorporating protein flexibility through molecular dynamics and cross-docking by Jorge Luis Valdés-Albuernes, Erbio Díaz-Pico, Sergio Alfaro, Julio Caballero

“…Our results highlight the importance of protein flexibility in achieving accurate correlations between docking energies and experimental pIC50 values, enhancing inhibitor selectivity predictions.…”
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Refined Assessment Method of Offshore Wind Resources Based on Interpolation Method by Wenchuan Meng, Zaimin Yang, Zhi Rao, Shuang Li, Xin Lin, Jingkang Peng, Yuwei Cao, Yingquan Chen

“…To enhance the prediction accuracy of offshore wind speed, this study employs an interpolation algorithm to improve spatial resolution based on the ERA5 reanalysis dataset. …”
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A user cache management and cooperative transmission mechanism based on edge community computing in opportunistic social networks by Wangping Xiong, Hao Chen, Ying Jiao, Ming Yang, Xian Zhou, Jia Wu

“…Simulation experiments show that the CMCT algorithm can reduce end‐to‐end delay and overhead, and improve data transmission efficiency.…”
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Topology optimization of analog circuit design via global optimization using factorization machines with digital annealer by Masaharu HIDA, Hiroshi IKEDA, Akito MARUO, Masaru SATO, Takashi YAMAZAKI

“…The optimization process is then performed using factorization machines that predict characteristic data. This method has been proven to be highly effective for topology optimization in the design of analog circuits. …”
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Modeling, Simulation, and Kinetic Studies of Solvent-Free Biosynthesis of Benzyl Acetate by Vijay Kumar Garlapati, Annapurna Kumari, Paramita Mahapatra, Rintu Banerjee

“…Statistical integrated genetic algorithm optimization approach results in an optimized molar conversion of 96.32% with the predicted transesterification variables of 0.47 M alcohol molarity in a reaction time of 13.1 h, at 37.5°C using 13.31 U of immobilized lipase. …”
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FORECASTING NICKEL PRICES WITH THE AUTOMATIC CLUSTERING FUZZY TIME SERIES MARKOV APPROACH by M. Al Haris, Wulan Sari, Fatkhurokhman Fauzi, Muhammad Sam'an

“…The automatic clustering algorithm generates multiple intervals and fuzzy relations. …”
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Multi-Objective Optimization of the Forming Process Parameters of Disc Forgings Based on Grey Correlation Analysis and the Response Surface Method by Shizhong Wei, Yuna Liang, Hao Li, Guizhong Xie, Feng Mao, Ji Zhang

“…Then, a quadratic polynomial prediction model based on the RSM was constructed, and its accuracy was ensured through model validation. …”
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IOT System for Detecting Epileptic Seizures Based on Fuzzy Logic by Jehan A. abbas, Manaf K. Hussei, Riyadh A. Abbas

“…The collected data is analysed using a fuzzy logic algorithm in MATLAB to interpret sensor readings for identifying seizures. …”
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Shape optimization of bellmouth to improve flow uniformity under non-aligned inflow condition in gas turbine casing by Myoung Hun Han, Jin Hyeong Park, Jae Sung Yang, Sang Youl Yoon, June Kee Min

“…The optimized shape of the bellmouth was obtained by using the two correlations and the genetic algorithm. In addition, the optimized bellmouth was found using conditional U-Net, which predicted the flow uniformity image according to the given shape conditions. …”
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Unravelling the human taste receptor interactome: machine learning and molecular modelling insights into protein-protein interactions by Harry Zaverdas, Filip Stojceski, Rocío Romero-Zaliz, Lampros Androutsos, Pantelis Makrygiannis, Lorenzo Pallante, Vanessa Martos, Gianvito Grasso, Marco A. Deriu, Konstantinos Theofilatos, Seferina Mavroudi

“…To this end, we propose a comprehensive machine learning approach to accurately predict and quantify protein-protein interactions using an ensemble evolutionary algorithm. 1,647,374 positive and 894,213 negative experimentally verified protein-protein interactions were mined and characterized using 61 functional orthology, sequence, co-expression and structural features. …”
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Implementation framework for AI deployment at scale in healthcare systems by Hassan Sami Adnan, Amitis Shidani, Lei Clifton, Clare R. Bankhead, Rafael Perera-Salazar

“…This design thinking approach promotes clinical utility beyond model prediction, combining privacy preservation with clinical parameters to establish a reward function for reinforcement learning, ranking competing models. …”
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A toolkit for quantifying individual response to herbal extracts in metabolic and inflammatory stress by Soo-yeon Park, Oran Kwon, Tim van den Broek, Jildau Bouwman, Ji Yeon Kim

“…Blood samples were collected, and a machine learning algorithm was used to predict health estimation scores based on metabolic and inflammatory responses. …”
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First Principles Study of Electronic and Optical Properties of Al‐P Co‐Doped ZnO in the Presence of Zn Vacancies by Zhengguang Guo, Yonghong Yao, Jin Liu

“…Abstract The BP neural network optimized by the Adam algorithm was used to predict the defect formation energy of Al−P co‐doped ZnO systems with different concentrations of P replacing O under the presence of different concentrations of VZn. …”
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Optimization of Injection-Molding Process Parameters for Weight Control: Converting Optimization Problem to Classification Problem by Peng Zhao, Zhengyang Dong, Jianfeng Zhang, Yi Zhang, Mingyi Cao, Zhou Zhu, Hongwei Zhou, Jianzhong Fu

“…A particle swarm optimization (PSO) algorithm contributes to the tuning of the hyperparameters of the SVC model in order to minimize the error between the SVC prediction results and the experimental results. …”
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Identification of Outer Galaxy Cluster Members Using Gaia DR3 and Multidimensional Simulation by Vishwas Patel, Joseph L. Hora, Matthew L. N. Ashby, Sarita Vig

“…A Monte Carlo simulation coupled with the HDBSCAN ^* (HDBSCAN-MC algorithm) addresses YSO astrometric uncertainties through 5D clustering. …”
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