Enhancing Wheat Spike Counting and Disease Detection Using a Probability Density Attention Mechanism in Deep Learning Models for Precision Agriculture by Ruiheng Li, Wenjie Hong, Ruiming Wu, Yan Wang, Xiaohan Wu, Zhongtian Shi, Yifei Xu, Zixu Han, Chunli Lv

“…Furthermore, this paper also conducts ablation experiments on different loss functions. The results of this research provide a new method for wheat spike counting and disease detection, fully reflecting the application value of deep learning in precision agriculture. …”
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Greenhouse gas emissions of global construction material production by Seth Kane, Josefine A Olsson, Sabbie A Miller

“…Understanding the GHG emissions from building materials production in the context of their function is critical to decarbonizing this important sector. …”
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Study of the Sustainability of Potato Farms in the Region of Oued Souf (Southern Algeria) by Djouhri Nesrine, Bouammar Boualem, Dadamoussa Mohamed Lakhdar

“…This is why it is necessary to face the problems encountered and fight against the factors that can hinder the sustainability of this sector and give a competitive value.…”
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Machine Learning Methods for Evaluation of Technical Factors of Spraying in Permanent Plantations by Vjekoslav Tadić, Dorijan Radočaj, Mladen Jurišić

“…The data from the field research were processed using four machine learning models: quantile random forest (QRF), support vector regression with radial basis function kernel (SVR), Bayesian Regularization for Feed-Forward Neural Networks (BRNN), and Ensemble Machine Learning (ENS). …”
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Nitrogen content estimation of apple trees based on simulated satellite remote sensing data by Meixuan Li, Xicun Zhu, Xicun Zhu, Xinyang Yu, Cheng Li, Dongyun Xu, Ling Wang, Dong Lv, Yuyang Ma

“…The support vector machine model constructed based on Sentinel-2 satellite simulated data was the optimal nitrogen content inversion model, with an average R² value of 0.81 and an average RMSE value of 0.15 for training sets across different phenological periods, and an average R² value of 0.61 and an average RMSE value of 0.23 for validation sets.DiscussionThis study systematically evaluated the applicability and accuracy differences of multi-source satellite data for estimating nitrogen content in apple trees, and clarified the variation patterns of nitrogen-sensitive spectral bands and optimal modeling strategies across key phenological stages. …”
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Developing data driven framework to model earthquake induced liquefaction potential of granular terrain by machine learning classification models by Kennedy C. Onyelowe, Viroon Kamchoom, Tammineni Gnananandarao, Krishna P. Arunachalam

“…For developing the SVM_Poly, SVM_RBK models, an extensive number of trials were conducted using various combinations of C and d for polynomial kernels and C and ∂ for radial basis function kernel-based support vector machines (SVMs) utilizing user-defined parameters. …”
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Strategies for Maintaining Balance in Patients with Parkinson’s Disease by A. E. Slotina, Ekaterina S. Ikonnikova, Georgii A. Kotsoev, Alena S. Egunova, Uliana V. Panina, Ekaterina Yu. Fedotova, Elena V. Gnedovskaya, Natalia A. Suponeva

“…Notably, the diagnostic value of classical stabilometric parameters decreases during the “off” period, while vector parameters characterizing balance maintenance strategies gain importance. …”
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Novel Investigation of Multivariable Conformable Calculus for Modeling Scientific Phenomena by Mohammed K. A. Kaabar, Francisco Martínez, Inmaculada Martínez, Zailan Siri, Silvestre Paredes

“…An extension to vector-valued functions (VVFs) of several real variables (SRVs) is studied in this work. …”
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Quality Evaluation of Culture-Tourism Integration Based on a 3E Multi-Dimensional Subjective–Objective Hybrid Weighting Method by Lingyun Huang, Zhanqi Li

“…The framework is highly adaptable and offers significant value for urban planning, cultural resource management, and strategic tourism development across diverse contexts.…”
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Identifying and Mapping Challenges of Industrial-to-Aviation Transformation Through Aczel–Alsina and Grey DEMATEL-ISM Analysis by Chih-Wei Chien, Jiann-Haw Liou, Sun-Weng Huang

“…Our approach employed grey numbers to address individual uncertainty and utilized the Aczel–Alsina function to integrate expert opinions while accounting for inter-expert disagreements. …”
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NEW WAVEGUIDE METHOD FOR DIELECTRIC PARAMETER MEASUREMENT by Andrey D. Grigoriev

“…Minimization of this function by varying dielectric parameters makes it possible to find real values of these parameters. …”
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INFORMATIONAL SUPPORT OF HIGH QUALITY PRODUCTION by A. N. Asanov

“…Scientific novelty: informational-personnel centre for quality is designed, which should contain the sector of support of high quality production. Organizational structure and functional technique of the sector are suggested, its tasks and functions are defined. …”
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Three-Stage Bidding Strategy of Generation Company Based on Double Deep Q-Network under Incomplete Information Condition by Pengpeng YANG, Beibei WANG, Peng XU, Gaoqin WANG, Yaxian ZHENG

“…Firstly, the elements of the Markov Decision Process and action-value function in the model is defined. Secondly, the framework of the generator’s double deep Q network is established and the ε-greedy algorithm and Experience Replay Memory is adopted to train the neural network. …”
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Machine Learning for Enhanced COPD Diagnosis: A Comparative Analysis of Classification Algorithms by Walaa H. Elashmawi, Adel Djellal, Alaa Sheta, Salim Surani, Sultan Aljahdali

“…These models were applied to a dataset comprising 1603 patients after being referred for a pulmonary function test. <b>Results</b>: The RFC has achieved superior accuracy, reaching up to 82.06% in training and 70.47% in testing. …”
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Artificial Intelligence-Driven Models for Predicting Chloride Diffusion in Concrete: A Comparative Regression Analysis by Yongjie Zhang, Yuhan Zhang

“…The findings demonstrate that the  (hybrid SVR with JSO), and SHGSO (hybrid SVR with HGSO) models have significant promise in properly forecasting the Dc of concrete under different exposure situation, while maintaining suitable values of the R2. A comprehensive index includes various kinds of metrics depicts that the SJSO value of objective function (OFU) was roughly 50% smaller at 0.3769 compared to the SHGSO at 0.7284. …”
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Cross-Network User Identity Linkage Method with Deep Learning Based on SDNE Embedding Representation by CHENG Jialin, YUAN Deyu, SUN Zeyu, CHEN Ziyan

“…Firstly, the user relationship in the social network is extended, and then&nbsp; the idea of SDNE model is used to embed learning of user nodes in different networks, and the user nodes are mapped into a low-dimensional vector space. Secondly, the deep neural network is used to construct the mapping function to obtain the accurate expression of user nodes. …”
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Deformation anisotropy and lamellar α re-orientation of TC17 alloy under the different slip modes of HCP structure by Cong Li, Jiao Luo

“…Therein, the variation of the rotation factor with tilt angle conforms to the quadratic function, reaching a maximum value around 45°. When the rotation factor is small, the ratio of (01–11) [1–210] slip system with small Burgers vector at the phase boundary is large, the rotation tendency is poor, and the intragranular dislocation slip replaces the grain rotation as the strain accommodation mechanism, the lamella is more prone to globularization. …”
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Machine learning algorithms to predict depression in older adults in China: a cross-sectional study by Yan Li Qing Song, Lin Chen, Haoqiang Liu, Yue Liu

“…Six ML algorithms, namely, logistic regression, k-nearest neighbors, support vector machine, decision tree, LightGBM, and random forest, were used in constructing a predictive model for depression among the older adult. …”
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Distribution of temperature field strength on the surface of graphene inclusions in a matrix composite by Igor V. Lavrov, Vladimir V. Bardushkin, Victor B. Yakovlev

“…Model calculations of the value for the temperature field strength at the points of the inclusion disk edge as a function of the angle between the radius vector of this point and the direction of the applied field strength were carried out. …”
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Mutable Composite Firefly Algorithm for Microarray-Based Cancer Classification by Fathima Fajila, Yuhanis Yusof

“…However, the efficiency of a swarm algorithm is dominated by certain factors such as fitness value, convergence, exploration, and exploitation capabilities. …”
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