Rural Transformation, GVCs and the Rise of the Services Economy by Christopher Findlay, Hein Roelfsema

“…We posit that when global value chains in agriculture are used to interpret rural transformation, the crucial function of services is often underemphasised. …”
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Laplace transform generation theorems and local Cauchy problems by Claus Müller

“…We give new criterions to decide if some vector-valued function is a local Laplace transform and apply this to the theory of local Cauchy problems. …”
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A machine vision approach for classification and dimensional design of furniture panels using GMM-SVM by Yuan Tian, Li Zhao, Haoxin Li

“…The findings of this study reveal that the use of various feature parameters and kernel functions affects the support vector machine’s recognition accuracy. …”
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Short-Term Wind Speed Prediction Using EEMD-LSSVM Model by Aiqing Kang, Qingxiong Tan, Xiaohui Yuan, Xiaohui Lei, Yanbin Yuan

“…Hybrid Ensemble Empirical Mode Decomposition (EEMD) and Least Square Support Vector Machine (LSSVM) is proposed to improve short-term wind speed forecasting precision. …”
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Investigating the Effect of Climatic Parameters Predicting the Mortality Rate Due to Cardiovascular and Respiratory Disease with Soft Computing Methods by Hamidreza Ghazvinian, Hojat Karami

“…This study was conducted with the aim of comparing the performance of multilayer perceptron (MLP) neural network, radial basis function (RBF) and regression support vector machine (SVR) methods in modeling and predicting the time series of mortality caused by cardiovascular and respiratory diseases based on climatic parameters and pollutants. …”
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Enhanced forecasting of emergency department patient arrivals using feature engineering approach and machine learning by Bruno Matos Porto, Flavio Sanson Fogliatto

“…Three of them – Light Gradient Boosting Machine (LightGBM), Support Vector Machine with Radial Basis Function (SVM-RBF), and Neural Network Autoregression (NNAR) – were never before reported for predicting ED patient arrivals. …”
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Live Weight Prediction in Norduz Sheep Using Machine Learning Algorithms by Cihan Çakmakçı

“…The objective of this study was to compare predictive performances of four machine learning (ML) models: Support Vector Machines with Radial Basis Function Kernel (SVMR), Classification and Regression Trees (CART), Random Forest (RF) and Model Average Neural Networks (MANN) to predict live weight from morphological measurements of Norduz sheep (n=93). …”
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Vulnerability-Based Economic Loss Rate Assessment of a Frame Structure Under Stochastic Sequence Ground Motions by Zheng Zhang, Yunmu Jiang, Zixin Liu

“…Using the magnitude difference between a mainshock and an aftershock as the control variable, we derive attenuation relationships for the amplitude, frequency content, and duration. A coherence function model is further developed from real seismic records, treating the mainshock–aftershock pair as a vector-valued stochastic process and thus enabling a more accurate representation of their spectral dependence. …”
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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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Audyt wewnętrzny jako mechanizm ładu organizacyjnego w szkolnictwie wyższym by Grzegorz Palus

“…Originality/value: The conducted study complements the existing scientific achievements in the field of the application of NPM instruments in the Polish higher education sector by launching and using an internal audit function.…”
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A Learning Framework of Nonparallel Hyperplanes Classifier by Zhi-Xia Yang, Yuan-Hai Shao, Yao-Lin Jiang

“…It is worth mentioning that, in the decision function, the Euclidean distance is replaced by the absolute value |wTx+b|, which keeps the consistency between the decision function and the optimization problem and reduces the computational cost particularly when the kernel function is introduced. …”
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Qualitative analysis for a system of generalized Caputo proportional fractional integro-differential equations with multiple time delays by Cemil Tunç, Kasım Mansız, Osman Tunç

“…The results of the study are established using a suitable Lyapunov function, along with a modified Lyapunov–Razumikhin approach for the vector-valued case. …”
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A Recommendation Algorithm Incorporating Adaptive Gating Mechanisms and Knowledge Graph Enhancements by Yi Yu, Teng Lv

“…The gating mechanism calculates the gating value through the sigmoid function, allowing user’s behavioral characteristics in different scenarios to more accurately impact item recommendation. …”
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Rock Mass Quality Evaluation Based on Unascertained Measure and Intuitionistic Fuzzy Sets by Shuliang Wu, Xidong Du, Shan Yang

“…By synthesizing various subjective and objective weighting methods, the range of index weight was determined, and the index weight vector based on IFS (IFS-index weight vector) was constructed. …”
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Proses Penyediaan Taman Kota Berdasarkan Fungsi Ruang Terbuka Hijau (Kasus: Taman Kota di Kota Bojonegoro) by Milla Kamilatuzzahroh, Septiana Hariyani, Johannes Parlindungan Siregar

“…The analysis uses the Process Hierarchy Analysis (AHP) method to determine the value of the priority vector of functions and the value of the priority vector on the supporting factors of the provision of urban parks. …”
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A Novel Technique for the Measurement of Chest Wall Kinematics Using Low Cost Stretch Sensors by Atiqa Saleem, Zainab Ali, Rida Nisar, Muhammad Usman Raja

“…An equation of voltage was calculated for each belt as function of length of the belt. 20 healthy subjects of both genders aged 23 ± 1.5 years participated in this study. …”
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Modulation of Anopheles stephensi gene expression by nitroquine, an antimalarial drug against Plasmodium yoelii infection in the mosquito. by Jian Zhang, Shuguang Zhang, Yanyan Wang, Wenyue Xu, Jingru Zhang, Haobo Jiang, Fusheng Huang

“…In addition, our data largely enriched the existing sequence information of An. stephensi, an epidemiologically important vector species.…”
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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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Utilising machine learning classification models for meteorological drought monitoring and analysis by Iqra Mumtaz, Rizwan Niaz, Zamama Sajid, Abdu Qaid Alameri, Zulfiqar Ali, Khaled A. Gepreel

“…This study identifies drought events using the Standardized Precipitation Index (SPI) and applies four machine learning model Support Vector Machines (SVM), Random Forest (RF), Gradient Boosting (GB), and Logistic Regression for drought prediction. …”
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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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