Climate change heterogeneity: A new quantitative approach. by María Dolores Gadea Rivas, Jesús Gonzalo

“…In the two cases, the warming process accelerates (non-linear behavior) over time and is asymmetrically amplified. …”
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Cognitive performance classification of older patients using machine learning and electronic medical records by Monika Richter-Laskowska, Ewelina Sobotnicka, Adam Bednorz

“…These two models consistently outperform other ML techniques, such as K-Nearest Neighbors, Multi-Layer Perceptron, linear SVM, Naive Bayes, Quadratic Discriminant Analysis, Linear Discriminant Analysis, AdaBoost, and Gaussian Process Classifiers. …”
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Novel energy savings method considering extra sensor battery discharge time for fish farming applications by Lisbeth Haydee Rivera Betancur, Alvaro Suárez, Jeison Marin Alfonso

“…Furthermore, our paper introduces an energy-saving method for extending WSN lifetime by modeling the non-linear power consumption of sensors' batteries. We propose a new mathematical optimization formulation using an efficient interpolation mechanism that operates in real-time. …”
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Tailoring CoFe2O4-modified activated carbon with improved selectivity for electrochemical detection of paracetamol in wastewater by S.D. Ndlovu, P.N. Nomngongo, T. Botha, B.O. Ojo, N. Mabuba

“…A simple yet efficient electrochemical technique is capable of measuring paracetamol (PARA) in wastewater. …”
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Fluid-structure-soil interaction study for nuclear facilities with large pool water considering nonlinear structural behavior by Yuki SATO, Dan Mircea GHIOCEL, Shunji KATAOKA, Yasutomi MORIMOTO

“…This paper presents an efficient seismic analysis method for considering FSSI using 3D FEM for deeply embedded typical RC (Reinforced Concrete) shear wall nuclear buildings. …”
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Channel Estimation and Pilot Design for Uplink Sparse Code Multiple Access System Based on Complex-Valued Sparse Autoencoder by Quan Yuan, Dezhi Li, Zhenyong Wang, Chang Liu, Ci He

“…Most of these methods regard channel estimation as a parameter estimation problem of linear models. However, these methods require lots of time–frequency resources to ensure high estimation accuracy. …”
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Factor Graphs for Navigation Applications: A Tutorial by Clark Taylor, Jason Gross

“…An approach for constructing a factor graph, with its associated optimization problem and efficient sparse linear algebra formulation, is described. …”
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Moisture prediction in chicken litter using hyperspectral data and machine learning by Ahmad Tulsi, Abdul Momin, Victoria Ayres

“…Efficient moisture monitoring in chicken litter is essential for sustainable poultry waste management and its application as an organic fertilizer. …”
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Investigating the Relationship between Air Pollutants and Meteorological Parameters in the Agricultural Sector of Mazandaran Province Using Logistic Regression by Majid Ghorbani, Abolfazl Mahmoodi, Mohammad Khaledi

“…Logistic regression method is considered as a linear developed method to predict air pollution; Time series analysis of parameters affecting air pollutants and addressing how much data is needed in previous times to predict the amount of pollutants one step ahead is an issue that has been less studied. …”
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Research on Ship Heave Motion Compensation Control Under Complex Sea State Environment Based on Improved Reinforcement Learning by ZHANG Qin, ZHOU Jingyi, WANG Xingyue, HU Xiong

“…In addition, the study devises a reward function that integrates linear and Gaussian components to guide the agent's learning and decision-making processes. …”
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Study on numerical simulation of rock breaking by PDC wear teeth cutting by Maosheng CAI, Hongbo WANG, Chunjiang ZHANG, Sai LI, Shuting CHENG

“…Considering the fluctuation of cutting efficiency and load, the front angle should be controlled at 15°−20° as far as possible, which is beneficial to prolong the service life of the cutting teeth. …”
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On the added value of sequential deep learning for the upscaling of evapotranspiration by B. Kraft, B. Kraft, B. Kraft, J. A. Nelson, S. Walther, F. Gans, U. Weber, G. Duveiller, M. Reichstein, W. Zhang, M. Rußwurm, D. Tuia, M. Körner, Z. Hamdi, M. Jung

“…</p> <p>Our findings highlight non-linear model responses to biases in the training data and underscore the need for improved upscaling methodologies, which could be achieved by increasing the amount and quality of training data or by the extraction of more-targeted features representing spatial variability. …”
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SIMULATION OF STRATEGIC SOLUTIONS ON FINANCIAL AND ECONOMIC PROVISION OF RUSSIAN DEFENCE INDUSTRY COMPLEX ENTERPRISES by K. B. Dobrova, A. N. Novikov

“…Creation of tools making it possible to efficiently control financial and production capability of industrial corporations making part of the Russian military-industrial complex are discussed for aviation enterprises as an example. …”
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A Novel hybridization of CG-techniques for Solving Unconstrained Optimization Problems by Hawraz Jabbar

“… Conjugate gradient methods are an extremely helpful way for handling large scale non-linear optimization issues. In this paper, based on the three famous Dai-yuan (DY), Liu–Storey (LS)and Conjugate-Descent (CD) conjugate gradient methods, a new hybrid CG method is proposed. …”
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Wireless Authentication Method Based on Near-Field Feature Fusion Network by QIU Jiefan, ZHOU Kezhong, ZHU Dongfu, ZHANG Jinhong, CHI Kaikai

“…This fused feature vector was then processed by a linear classifier to perform probabilistic prediction, completing the identity recognition process. …”
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Fast Mixing of Weakly Interacting Fermionic Systems at Any Temperature by Yu Tong, Yongtao Zhan

“…This leads to a mixing time estimate that is at most linear in the system size, thus showing that the corresponding Gibbs states can be prepared efficiently on quantum computers. …”
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DFT study of co-doping effects on the electronic, optical, transport, and thermodynamic properties of (5,5) SWCNTs for photovoltaic and photonic applications by I.A. Tabet Djeudi, G.W. Ejuh, P.F. Bissi Nyandou, Oumaima Douass, A. Teyou Ngoupo, C.C. Fonkem, Y. Tadjouteu Assatse, R.A. Yossa Kamsi, J.M.B. Ndjaka, Bilel Mehnen

“…Among the doped SWCNTs, boron-doped SWCNTs exhibited the highest reactivity. Our analysis of non-linear optical properties reveals that these materials are promising candidates for non-linear optics (NLO) and electronic applications, boasting first-order hyperpolarizability values surpassing those of urea. …”
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Application of a Hybrid Model Based on CEEMDAN and IMSA in Water Quality Prediction by GUO Li-jin, WU Hao-tian

“…Missing values were addressed via linear interpolation. For outlier treatment, the study considered that outliers in the data might be caused by sudden pollution events and discontinuous non-point source pollution. …”
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Design and Evaluation of Real-Time Data Storage and Signal Processing in a Long-Range Distributed Acoustic Sensing (DAS) Using Cloud-Based Services by Abdusomad Nur, Yonas Muanenda

“…First, the development of efficient storage mechanisms capable of handling the enormous volume of data generated by these sensors poses a challenge. …”
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Design, Synthesis, and Evaluation of Novel Thiazole-Containing Algicides Inspired by Bacillamide A by Xiaoxue Li, Huili Li, Lei Shi, Zuguang Yin, Yuguo Du, Hongxia Zhang, Xin Wang, Xinxin Wang, Kexin Xu, Weili Wang, Ronglian Xing, Yi Liu

“…However, the poor synthetic efficiency and large dose requirements of bacillamide A limit its further application. …”
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