A plunger lifting optimization control method based on APSO-MPC for edge computing applications by Zhi Qiu, Lei Zhang, He Zhang, Haibo Liang, Yinxian Li

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Empirical estimation of saturated soil-paste electrical conductivity in the EU using pedotransfer functions and Quantile Regression Forests: A mapping approach based on LUCAS topso... by Calogero Schillaci, Simone Scarpa, Felipe Yunta, Aldo Lipani, Fernando Visconti, Gábor Szatmári, Kitti Balog, Triven Koganti, Mogens Greve, Giulia Bondi, Georgios Kargas, Paraskevi Londra, Fuat Kaya, Giuseppe Lo Papa, Panos Panagos, Luca Montanarella, Arwyn Jones

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Storage and permeation space development characteristics and water production capacity evaluation of deep coal reservoirs in Linxing-Shenfu area of Ordos Basin by Jinwei WANG, Hao XU, Yinan LIU, Bing ZHANG, Yanyong XU, Ding LIU, Peng ZONG, Yajuan WANG, Xuejing SONG

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Application of IoT and blockchain technology in the integration of innovation and industrial chains in high-tech manufacturing by Zepei Li, Peng Zheng, Yanjia Tian

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Experimental investigation and scenario-based optimization of energy flexibility in embedded radiant cooling systems by Yun Xie, Yanxue Li, Hongshe Cui

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An optimized approach for predicting water quality features and a performance evaluation for mapping surface water potential zones based on Discriminant Analysis (DA), Geographical Information System (GIS) and Machine Learning (ML) models in Baitarani River Basin, Odisha by Abhijeet Das

“…The approaches' correlation value was nearly 0.99, indicating exceptional prediction accuracy. Up to 6 % perturbations were used to test the ANN model's performance, and it maintained its accuracy and robustness. …”
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Main controlling factors of production and reasonable fracturing scale optimization of deep coalbed methane wells in Shenfu block, Ordos Basin by Lichun SUN, Jia LIU, Na LI, Xinze LI, Heng WEN

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Advancements and future outlook of Artificial Intelligence in energy and climate change modeling by Mobolaji Shobanke, Mehul Bhatt, Ekundayo Shittu

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Evaluating Item Content and Scale Characteristics Using a Pretrained Neural Network Model by Jeffrey Stanton, Angela Ramnarine-Rieks, Yisi Sang

Subjects: “…Answer behavior, Emotion prediction, Microphone, Natural Language Processing, Open-ended questions, Smartphone, Voice recordings…”
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Diagnosis of Columnar Metaplasia of the Esophageal Mucosa in Patients with Complicated Gastroesophageal Reflux Disease by E. D. Fedorov, A. V. Shidii-Zakrua, L. M. Mikhaleva, K. S. Maslenkina, A. A. Lindenberg, D. E. Seleznev, V. O. Kaybysheva, T. A. Partenadze

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An Integrated Approach for Conducting long-term PM2.5 Exposure and Health Impact Assessments for Residents of a City-scale by Ming-Shing Ho, Ming-Yeng Lin, Chih-Da Wu, Jung-Der Wang, Li-Hao Young, Hui-Tsung Hsu, Bing-Fang Hwang, Perng-Jy Tsai

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Modeling Multimedia Ad Exposure: The Role of Low-Level Audiovisual Features by Urban Burnik, Andrej Kosir, Gregor Strle

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Twisted thinking and its relationship to radical thinking among university students by Mohammed H.T.S. AL-Ogaidi, Yasir M. Al-Dulami

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Novel PCA-driven extreme machine learning for comprehensive modelling of metropolitan wastewater treatment systems by Vini Antony Grace N, Ghadah Aldehim, Nuha Alruwais, Prabakar T.N.

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Optimal LQG controller design for inverted pendulum systems using a comprehensive approach by Monika Rani, Sushma S. Kamlu

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LADRC-MPC strategy for three-level UPQC by CAI Xiuwen, ZHAO Tao, ZHANG Mingzhou, TAO Yibin, LI Guipu

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Multivariate Load Forecasting of Integrated Energy System Based on CEEMDAN-CSO-LSTM-MTL by WANG Yongli, LIU Zeqiang, DONG Huanran, LI Dexin, CHEN Xin, GUO Lu, WANG Jiarui

“…The results show that compared with traditional prediction models，the constructed model can effectively improve the prediction accuracy of multiple loads in the integrated energy system.…”
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GABAergic neurons in the ventral tegmental area represent and regulate force vectors by Qiaochu Jiang, Konstantin I. Bakhurin, Ryan N. Hughes, Bryan Lu, Shaolin Ruan, Henry H. Yin

“…Previous work has suggested that VTA GABA neurons provide a reward prediction signal, which is used in computing a reward prediction error. …”
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Steady-state mixing state of black carbon aerosols from a particle-resolved model by Z. Zhang, Z. Zhang, J. Wang, J. Wang, J. Wang, J. Wang, N. Riemer, C. Liu, C. Liu, Y. Jin, Y. Jin, Z. Tian, Z. Tian, J. Cai, J. Cai, Y. Cheng, Y. Cheng, G. Chen, G. Chen, B. Wang, B. Wang, S. Wang, A. Ding, A. Ding

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Fundus camera-based precision monitoring of blood vitamin A level for Wagyu cattle using deep learning by Nanding Li, Naoshi Kondo, Yuichi Ogawa, Keiichiro Shiraga, Mizuki Shibasaki, Daniele Pinna, Moriyuki Fukushima, Shinichi Nagaoka, Tateshi Fujiura, Xuehong De, Tetsuhito Suzuki

“…But previous endeavours cannot realise real-time monitoring and their prediction accuracy still need improvement in a practical sense. …”
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