Integrating Handcrafted Features with Machine Learning for Hate Speech Detection in Albanian Social Media by Fetahi Endrit, Hamiti Mentor, Susuri Arsim, Zenuni Xhemal, Ajdari Jaumin

“…To address this issue, this research aims to conduct extensive experiments using machine learning models and handcrafted feature extraction in the low-resource language Albanian. …”
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Interpretable machine learning algorithms reveal gut microbiome features associated with atopic dermatitis by Jingtai Ma, Jingtai Ma, Yiting Fang, Yiting Fang, Shiqi Li, Shiqi Li, Lilian Zeng, Siyi Chen, Zhifeng Li, Guiyuan Ji, Xingfen Yang, Wei Wu, Wei Wu

“…Interpretable machine learning methods, such as SHAP values, were used to identify significant features associated with atopic dermatitis.ResultsRandom forest performed better than the other “tree” models in the validation partitions. …”
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Molecular and electrophysiological features of spinocerebellar ataxia type seven in induced pluripotent stem cells. by Richard J Burman, Lauren M Watson, Danielle C Smith, Joseph V Raimondo, Robea Ballo, Janine Scholefield, Sally A Cowley, Matthew J A Wood, Susan H Kidson, Leslie J Greenberg

“…First, we differentiated the SCA7 affected iPSCs into neurons which showed evidence of a transcriptional phenotype affecting components of STAGA (ATXN7 and KAT2A) and the heat shock protein pathway (DNAJA1 and HSP70). We then performed electrophysiology on the SCA7 iPSC-derived neurons and found that these cells show features of functional aberrations. …”
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A Multivariate Spatiotemporal Feature Fusion Network for Wind Turbine Gearbox Condition Monitoring by Shixian Dai, Shuang Han, Xinjian Bai, Zijian Kang, Yongqian Liu

“…However, the high-dimensional and nonlinear nature of the collected data, along with the insufficient spatiotemporal feature capabilities of existing methods and the lack of consideration of the physical mechanisms of wind turbine operation, limit the accuracy of monitoring models. …”
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Optimization of deep learning architecture based on multi-path convolutional neural network algorithm by Chuan Zhou, Yan Liu, Xinghan An, Xiyao Xu, Hao Wang

“…Self-attention fusion method is adopted to improve the efficiency of feature fusion. At the same time, by combining path selection and model pruning technology, the effective balance between model performance and computational resources demand is realized. …”
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Human Pose Estimation and Event Recognition via Feature Extraction and Neuro-Fuzzy Classifier by Muhammad Hanzla, Naif S. Alshammari, Shuaa S. Alharbi, Wasim Wahid, Nouf Abdullah Almujally, Ahmad Jalal, Hui Liu

“…This paper introduces an advanced framework for Human Pose Estimation (HPE) and Semantic Event Classification (SEC), addressing the growing demand for sophisticated human skeleton modeling, context-aware feature extraction, and machine learning techniques for accurate event recognition in real-world scenarios. …”
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Predictive analytics of student performance: Multi-method and code by Alla Yu. Vladova, Katsiaryna M. Borchyk

“…Secondly, students at academic risk are forecasted, and the statistical significance of the features included in the model is evaluated. Thirdly, for each student, the final score for the semester is forecasted using an linear regressive model of academic performance. …”
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SFANet: A Ground Object Spectral Feature Awareness Network for Multimodal Remote Sensing Image Semantic Segmentation by Yizhou Lan, Daoyuan Zheng, Yingjun Zheng, Feizhou Zhang, Zhuodong Xu, Ke Shang, Zeyu Wan

“…Meanwhile, the inclusion of redundant features in the fusion process can also interfere with model performance. …”
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Application of Support Vector Regression in Indonesian Stock Price Prediction with Feature Selection Using Particle Swarm Optimisation by Zuherman Rustam, Puteri Kintandani

“…The study found that stock price prediction using SVR and PSO shows good performances for all data, and many features and training data used by the study have relatively low error probabilities. …”
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Student Performance Prediction Using Machine Learning Algorithms by Esmael Ahmed

“…The outcomes of parameter adjustment greatly increased the accuracy of the four prediction models. Naïve Bayes model’s prediction accuracy is the lowest when compared to other prediction methods, as it assumes a strong independent relationship between features.…”
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Assessment of the Performance of SWOT for Observing the Static Ocean Topography by Bjarke Nilsson, Ole Baltazar Andersen, Per Knudsen

“…We analyze the new swath‐altimetry data from the Surface Water and Ocean Topography (SWOT) satellite, to determine the performance of SWOT for mapping the static ocean topography, and possible benefit of inclusion in future reference models. …”
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Predicting the Performance of Students Using Deep Ensemble Learning by Bo Tang, Senlin Li, Changhua Zhao

“…This mechanism is effective in identifying the most pertinent features and their correlation with the academic performance of students. …”
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Schizo-Net: A <italic>novel</italic> Schizophrenia Diagnosis Framework Using Late Fusion Multimodal Deep Learning on Electroencephalogram-Based Brain Connectivity Indices by Nitin Grover, Aviral Chharia, Rahul Upadhyay, Luca Longo

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The university library performance analysis: current state and prospects by P. A. Boldyrev

“…As a result, a consistent, unified and integrated model of decisions should be formed, that affects the development of the library infrastructure, features of information resources generation, modification of provided information services, as well as the staff skills and functional.…”
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xLSTM Interaction Multilevel SSM-Assisted Decoding Network for Remote Sensing Image Change Detection by Chunpeng Wu, Shuli Cheng, Anyu Du, Liejun Wang, Wenbin Tang

“…Most current deep learning models have limited ability to model the temporal relationships between bitemporal features and lack effective handling of redundant features. …”
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The concept of performative national identity: the theoretical methodological framework by M. R. Snegur

“…The methods of theoretical research were theoretical analysis and synthesis, induction and modeling. As a result, the category of performative national identity has been developed, which includes technologies, features, resources for construction and conscious and unconscious representation of national identity in everyday practices. …”
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Prediction of Lithium-Ion Battery Health Using GRU-BPP by Sahar Qaadan, Aiman Alshare, Alexander Popp, Benedikt Schmuelling

“…Granger causality later investigates the inter-group relationships. Our GRU-BPP model achieves an RMSE value of 0.167 and an MAE of 0.129 for the reference performance testing (RPT) dataset and an RMSE of 0.032 with an MAE of 0.025 for the aging dataset, thus outperformed benchmark methods such as GRU, LME, and XGBoost. …”
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On the effect of sampling frequency on the electricity theft detection performance by Fatemeh Soleimani Nasab, Foad Ghaderi

“…Experimental results show that the performance of the models decreases with a small slope up to the sampling frequency of one data per week. …”
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THE ROLE OF INFORMATION TECHNOLOGY IN BUSINESS GROWTH PERFORMANCE IN KOSOVA by AFERDITA BERISHA-SHAQIRI

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HOW TO CREATE BUSINESS PERFORMANCE MANAGEMENT (BPM) SYSTEM by B. Ye. Odintsov, A. N. Romanov

“…Particular attention is paid to processing of indicators measured in different scales and the transformation of network structures that reflect the causal relationships between the objectives of the enterprise into treelike ones.The paper discusses the following functions BPM-systems: modeling and development of the balanced scorecard and strategy map of company’s operation; forecasting strategic indicators of the company and key performance indicators; adjusting the company’s goals and calculation of the planned values; monitoring the activities of company and performing financial and economic analysis of the company’s operation.…”
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