Effects of varying loading rates on the Brazilian splitting characteristics of coal-rock composites by CHEN Yan, WANG Jiahao, DENG Liangtao, HONG Zijie, RONG Tenglong, HOU Zhiqiang

“…ObjectivesTo investigate the tensile characteristics of coal-rock composite structures during the mining process， the study takes coal-rock composite specimens as the research object.MethodsBrazilian splitting tests were conducted on coal-rock composite specimens under varying loading rates using the RMT150B testing machine. The effects of loading rates on the strength characteristics， failure modes， energy features， and crack evolution during splitting failure were analyzed.ResultsThe stress-strain curves of the coal-rock composites generally followed four stages： compaction， elasticity， yield， and failure. …”
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Use of Binary Classification in Non-Invasive Load Monitoring by Jacek Bartman, Bogdan Kwiatkowski, Damian Mazur, Paweł Krutys, Boguslaw Twarog

“…One method is non-intrusive load monitoring (NILM). This paper presents the use of artificial intelligence methods for the selection of information features and for the identification of operating electrical devices. …”
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Short-Term Power Load Forecasting Using an Improved Model Integrating GCN and Transformer by Man Wu, Wanyi Feng, Xinya Li, Yunan Liu, Chuxin Cao

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Leveraging Feature Sets and Machine Learning for Enhanced Energy Load Prediction: A Comparative Analysis by Fernando Pedro Silva Almeida, Mauro Castelli, Nadine Côrte-Real

“…Data from four weather stations, encompassing diverse features relevant to the European Central Bank (ECB) building's cooling consumption in Frankfurt, were employed. …”
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Extraction of the key infrared radiation temperature features concerning stress and crack evolution of loaded rocks by Wei Liu, Liqiang Ma, Michel Jaboyedoff, Marc-Henri Derron, Qiangqiang Gao, Fengchang Bu, Hai Sun

“…In this paper, a methodology to extract the key IRT features related to stress and crack evolution of loaded rocks is proposed. …”
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FEATURES OF THE RESPONSE OF ARTERIAL BLOOD FLOW TO THE ORTHOSTATIC LOAD IN YOUNG WOMEN WITH IDIOPATHIC ARTERIAL HYPOTENSION by T. Y. Agafonova, V. M. Baev, O. A. Samsonova, R. S. Dusakova

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Multi-Step Natural Gas Load Forecasting Incorporating Data Complexity Analysis with Finite Features by Ning Tian, Bilin Shao, Huibin Zeng, Meng Ren, Wei Zhao, Xue Zhao, Shuqiang Wu

Subjects: “…load forecasting…”
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Fusion ConvLSTM-Net: Using Spatiotemporal Features to Increase Residential Load Forecast Horizon by Abhishu Oza, Dhaval K. Patel, Bryan J. Ranger

“…Moreover, the current literature is limited to forecasting residential load to only a few hours in the future. In this paper, we propose Fusion ConvLSTM-Net, a novel fusion encoder-decoder architecture that combines both spatial and temporal features to extend the load forecast to a full 24 hour period. …”
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Neoantigen load as a predictor of relapse in early-stage NSCLC: features that agonise and antagonise prognosis by Linda Ye, Ian Dick, Bruce W. Robinson, Jenette Creaney, Alec Redwood

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An Improved YOLOv8-XGBoost load rapid identification method based on multi-feature fusion by JianYuan Wang, Long Cheng

Subjects: “…Non-Intrusive Load Identification…”
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PCL-RC: a parallel cloud resource load prediction model based on feature optimization by Guoxiu Zhang, Xinyi He, Xiaofeng Wang

“…Thus, in this study, we propose a parallel cloud resource load prediction model, PCL-RC, that is based on feature optimization and focuses on feature extraction optimization and load forecasting. …”
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Clinical features of chronic hepatitis C in children by M. S. Bokhonov, L. E. Galitsina, I. G. Sitnikov, O. S. Gorbunova

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Features of Bending Stresses Calculation for a Drill String Pipes at oil Well Drilling by Maryna G. Gegedesh, Victor M. Tkachev, Nikita V. Bocharov

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Using crafted features and polar bear optimization algorithm for short-term electric load forecast system by Mansi Bhatnagar, Gregor Rozinaj, Radoslav Vargic

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Annual Daily Average Load Curve Prediction Considering Dynamic Time Anchors and Typical Feature Constraints by Dan LI, Shuai HE, Wei YAN, Yue HU, Zeren FANG, Yunyan LIANG

Subjects: “…load forecasting…”
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Collaborative Forecasting of Multiple Energy Loads in Integrated Energy Systems Based on Feature Extraction and Deep Learning by Zhe Wang, Jiali Duan, Fengzhang Luo, Xiaoyu Qiu

“…This paper proposes a collaborative load forecasting method based on feature extraction and deep learning. …”
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A Study on Interpretable Electric Load Forecasting Model with Spatiotemporal Feature Fusion Based on Attention Mechanism by Shuaishuai Li, Weizhen Chen

Subjects: “…power load forecasting…”
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A Comparative Study of Machine Learning Models for Short-Term Load Forecasting by Etna Vianita, Henri Tantyoko

Subjects: “…short-term load forecasting, machine learning models, lag features, electricity demand prediction, model evaluation…”
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Structural and adsorption features of amorphous nanosilica modified by various addition of polymethylsiloxane by V. V. Turov, V. M. Gun'ko, T. V. Krupska, I. S. Protsak, E. M. Pakhlov

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TFTformer: A novel transformer based model for short-term load forecasting by Ahmad Ahmad, Xun Xiao, Huadong Mo, Daoyi Dong

“…To address these limitations, this study proposes a TFTformer, a transformer-based neural network designed to enhance the accuracy and generalisability of load forecasting models. The TFTformer incorporates transposed feature-specific embeddings for weather, time, and load data to more accurately capture their unique characteristics. …”
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