Hybridized Extreme Learning Machine Model with Salp Swarm Algorithm: A Novel Predictive Model for Hydrological Application by Zaher Mundher Yaseen, Hossam Faris, Nadhir Al-Ansari

“…The classical ELM training algorithm is based on a nontuned and random procedure that might not be efficient in convergence of excellent performance or possible entrapment in the local minima problem. …”
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Effects of GNSS Receiver Tuning on the PLL Tracking Jitter Estimation in the Presence of Ionospheric Scintillation by K. Guo, M. Aquino, S. Vadakke Veettil

“…Abstract Ionospheric scintillation is an interference characterized by rapid and random fluctuations in radio frequency signals when passing through irregularities in the ionosphere. …”
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MT Evaluation in the Context of Language Complexity by Dasa Munkova, Michal Munk, null Ľubomír Benko, Jiri Stastny

“…The contribution of the proposed methodology is an identification of systematic not random errors. Additionally, the study can also serve as information for optimizing the translation process using postediting.…”
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A Population Classification Evolution Algorithm for the Parameter Extraction of Solar Cell Models by Yiqun Zhang, Peijie Lin, Zhicong Chen, Shuying Cheng

“…For the evolution of ordinary individuals, we adopt an effective differential evolution strategy and a random movement of small probability is added to strengthen the ability to jump out of a local optimum, which affords a fast exploration. …”
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Research on medical small sample data classification based on SMOTE and gcForest by Wenchang LIU, Yun WEI, Haoxuan YUAN, Yue GAO

“…Aiming at the problem of poor classification performance in traditional machine learning models caused by shallow model structure and complex data characteristics in small medical sample data, an combine multi- grained improved cascade forest (cgicForest) model was proposed.It enhances the representation learning ability of the model by adding random sampling into the multi-grained scanning and optimizing the transformation features.It also enhances the model's classification ability by updating the cascade forest’s hierarchical structure.Considering category imbalance problems in datasets, the safe-borderline-SMOTE (SBS) algorithm was proposed to dynamic interpolate around the few class samples belonging to the safety boundary, which can improve the quality of training data.The cgicForest was applied for training and learning, thus the SBS-cgicForest classification model was obtained which can support imbalanced medical small samples data.The model is used on three medical datasets for classification experiments.The results show that the performance indexes of the cgicForest model in the classification of medical small sample data with complex characteristics have increased by 4.1～5.4 percentage points, compared with the multi-grained cascade forest (gcForest) model.The performance indexes have increase by 6.6～11.2 percentage points after the combination with SBS algorithm, the F₁ score was 2～2.5 percentage points higher than that obtained by traditional sampling methods.It provides a reference for solving the classification problem of small medical sample data, and includes support for internet of things applications in smart medical scenarios.…”
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Effects of Pooling Samples on the Performance of Classification Algorithms: A Comparative Study by Kanthida Kusonmano, Michael Netzer, Christian Baumgartner, Matthias Dehmer, Klaus R. Liedl, Armin Graber

“…In this paper, we perform a comparative study to model and quantify the effects of virtual pooling on the performance of the widely applied classifiers, support vector machines (SVMs), random forest (RF), k-nearest neighbors (k-NN), penalized logistic regression (PLR), and prediction analysis for microarrays (PAMs). …”
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Adaptive Similarity Function with Structural Features of Network Embedding for Missing Link Prediction by Chuanting Zhang, Ke-Ke Shang, Jingping Qiao

“…Then, we propose a novel link prediction framework, AdaSim, by introducing an Adaptive Similarity function using features obtained from network embedding based on random walks. The node feature representations are obtained by optimizing a graph-based objective function. …”
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The central role of tilted anisotropy for field-free spin–orbit torque switching of perpendicular magnetization by Chen-Yu Hu, Wei-De Chen, Yan-Ting Liu, Chao-Chung Huang, Chi-Feng Pai

“…Abstract The discovery of efficient magnetization switching upon device activation by spin Hall effect (SHE)-induced spin–orbit torque (SOT) changed the course of magnetic random-access memory (MRAM) research and development. …”
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Forward and Reverse Process Models for the Squeeze Casting Process Using Neural Network Based Approaches by Manjunath Patel Gowdru Chandrashekarappa, Prasad Krishna, Mahesh B. Parappagoudar

“…The requirement of huge training data is generated artificially at random using regression equation derived through real experiments carried out earlier by the same authors. …”
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Trends of climate variability and its association with farmers’ perceptions of climate change in Gassera district, southeastern Ethiopia by Henok W/Yohannes Aniye, Tsegaye Bekele, Walelign Worku

“…A cross-sectional survey design was employed to select agroecologies and collect data from 444 farm households via multistage random sampling. Linear regression, the chi-square test, and rainfall anomalies were used for the data analysis. …”
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Gauss-diffusion processes for modeling the dynamics of a couple of interacting neurons by Aniello Buonocore, Luigia Caputo, Enrica Pirozzi, Maria Francesca Carfora

“…In such a model, maintaining statements of the Leaky Integrate-and-Fire framework, we include a random component in the synaptic current, whose role is to modify the equilibrium point of the membrane potential of one of the two neurons and when a spike of the other one occurs it is turned on. …”
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Willingness to take action toward climate change in Agriculture Experts in Khuzestan Province. by Masoud Yazdanpanah, Tahereh Zobeidi, Hajar Zaery

“…A sample of 320 persons was selected through Random Stratified Sampling method. The survey instrument was a questionnaire which its validity confirmed by experts. …”
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Multiple Unmanned Aerial Vehicle Collaborative Target Search by DRL: A DQN-Based Multi-Agent Partially Observable Method by Heng Xu, Dayong Zhu

“…By comparing the PODQN algorithm with random strategy, DQN, Double DQN, Dueling DQN, VDN, QMIX, it is demonstrated that the proposed PODQN algorithm has the best performance under different agent configurations.…”
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Comfort and its related factors in Iranian nurses: a cross-sectional study by Zahra Tagharrobi, Leila Ghanbari-Afra, Khadijeh Sharifi, Negin Masoudi Alavi

“…In this cross-sectional study, 300 nurses were selected by stratified random sampling method (2022). Data were collected using the Persian version of the nurse comfort questionnaire and a questionnaire of possible related factors. …”
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Perbandingan Asupan Makan Dan Aktifitas Fisik Pada Remaja Berdasarkan Status Gizi by Susmiati, Nur Indrawaty Lipoeto, Zifrianthi Minanda Putri

“…Sampling was conducted by stratified random sampling. Obesity criterion was based on BMI > 2 SD and normal -2 SD 1 SD. …”
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A Photovoltaic Array Fault Diagnosis Method Considering the Photovoltaic Output Deviation Characteristics by Jian Zhao, Qian Sun, Ning Zhou, Hao Liu, Haizheng Wang

“…The deviation and evolution information of the array output are easily covered by the random fluctuations of the PV output, which makes the fault diagnosis of PV arrays difficult. …”
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ANALISIS KUALITAS LAYANAN PEMBELAJARAN KIMIA DALAM IMPLEMENTASI KURIKULUM MERDEKA DI SMAN 2 MAKASSAR by Fiqrah Apriani, Syahrul Syahrul, Kaharuddin Arafah

“…Penelitian ini bersifat deskriptif kuantitatif dengan populasi seluruh peserta didik kelas XII IPA yang berjumlah 351 orang dan sampel 157 orang menggunakan teknik probability sampling dengan random sampling. Pengumpulan data dilakukan melalui angket dengan model skala Likert dan analisis data menggunakan Importance Performance Analysis (IPA). …”
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BUSINESS INCUBATORS AS CATALYST FOR ENTREPRENEURIAL PROCESS DEVELOPMENT IN OYO AND EKITI STATES, NIGERIA by Musa Maigari, Bola O Jenyo, Alabi Qozim Diekola, Paul Zangu Terkula

“…The sampling approach employed was multistage sampling procedure through the use of purposive, stratified and simple random sampling technique to pick out respondents. …”
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Inquiry into firm owner’s risk preference and output disparity: evidence from the small-scale manufacturing firms in the Tigray region, Ethiopia by Samson Gebrerufael, Getachew Kebede, Daniel Hadera, Guush Weldegbrial, Selam Abraha

“…The study uses primary data based on random survey of the small-scale manufacturing firm owners in the zonal towns of the Tigray region. …”
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Reconfigurable scattering by liquid crystal–polymer composite by Duan-Yi Guo, Yan-Ting Liu, Chen-Wei Tu, Iam Choon Khoo, Tsung-Hsien Lin

“…Scattering phenomena offer significant application potential in fields such as high-resolution imaging, sensing, material characterization, and photonic computing due to their random-walk behavior and intricate spatial intensity statistics. …”
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