Optimizing Space Heating in Buildings: A Deep Learning Approach for Energy Efficiency by Fernando Almeida, Mauro Castelli, Nadine Corte-Real, Luca Manzoni

“…To address this challenge, this study employs Long Short-Term Memory (LSTM), Gated Recurrent Unit (GRU), and Transformer models to forecast area temperatures and predict space heating consumption. …”
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Wavelet deep unfolding network for iterative stripe noise removal in wideband microwave imaging system for EMS localization by Yanju Zhu, Zihan Zhao

“…The extensive experiments on simulated and real data demonstrate that our proposed method outperforms several classical de-striping methods on both quantitative and qualitative assessments.…”
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Predicting Wastewater Characteristics Using Artificial Neural Network and Machine Learning Methods for Enhanced Operation of Oxidation Ditch by Igor Gulshin, Nikolay Makisha

“…The SMAPE score of 1.052% on test data demonstrates the model’s accuracy and highlights the potential of integrating artificial neural networks (ANN) and machine learning (ML) with mechanistic models for optimizing wastewater treatment processes. …”
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Attention with Long-Term Interval-Based Deep Sequential Learning for Recommendation by Zhao Li, Long Zhang, Chenyi Lei, Xia Chen, Jianliang Gao, Jun Gao

“…Specifically, we design a network featuring Attention with Long-term Interval-based Gated Recurrent Units (ALI-GRU) to model temporal sequences of user actions. …”
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Research on a Joint Extraction Method of Track Circuit Entities and Relations Integrating Global Pointer and Tensor Learning by Yanrui Chen, Guangwu Chen, Peng Li

“…Taking into account the associative characteristics of semantic relations, the nesting of domain-specific terms in the railway sector, and semantic diversity, this research views the relation extraction task as a tensor learning process and the entity recognition task as a span-based Global Pointer search process. …”
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Spatiotemporal Contextual 3D Semantic Segmentation for Intelligent Outdoor Mining by Wenhao Yang, Liqun Kuang, Song Wang, Xie Han, Rong Guo, Yongpeng Wang, Haifeng Yue, Tao Wei

“…Specifically, we introduced the Gated Spatiotemporal Clue Encoder, which extracts spatiotemporal context from historical multi-frame point cloud data and combines it with the current scan frame to enhance feature representation. …”
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A Perspective on Software-in-the-Loop and Hardware-in-the-Loop Within Digital Twin Frameworks for Automotive Lighting Systems by George Balan, Philipp Neninger, Enrique Ruiz Zúñiga, Elena Serea, Dorin-Dumitru Lucache, Alexandru Sălceanu

“…This study presents a structured integration of Software-in-the-Loop (SiL) and Hardware-in-the-Loop (HiL) testing within a digital twin (DT) framework for validating headlamp systems. A gated validation process (G10–G120) is proposed, aligning each development phase with corresponding simulation stages from early requirements and concept validation to real-world scenario testing and continuous integration. …”
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Comparing the Effectiveness of Deep Learning Approaches for Charging Time Prediction in Electric Vehicles: Kocaeli Example by Ayşe Tuğba Yapıcı, Nurettin Abut, Tarık Erfidan

“…To this end, the study examined the prediction capabilities of the LSTM (Long Short-Term Memory), GRU (Gated Recurrent Unit), Prophet, and ARIMA (Autoregressive Integrated Moving Average) models, which were trained with historical data using various metrics. …”
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Missing the mark(ers): circulating endothelial cells and endothelial-derived extracellular vesicles are elevated in sickle cell disease plasma by Joan D. Beckman, Ping Zhang, Julia Nguyen, Robert P. Hebbel, Gregory M. Vercellotti, John D. Belcher

“…Using the same markers along with size-based gating, we also used flow cytometry to enumerate endothelial-derived extracellular vesicles (EEVs) in plasma. …”
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Corrosion Rate Prediction of Buried Oil and Gas Pipelines: A New Deep Learning Method Based on RF and IBWO-Optimized BiLSTM–GRU Combined Model by Jiong Wang, Zhi Kong, Jinrong Shan, Chuanjia Du, Chengjun Wang

“…The method is based on the combination of an improved Beluga Optimization algorithm (IBWO) and Random Forest (RF) optimization with BiLSTM and gated cycle unit (GRU), which are used to classify corrosion rates as high or low. …”
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Phase memory of the three-level system in the presence of external spatially inhomogeneous electric fields by E.I. Nizamova, L.A. Nefediev, G.A. Gilmanova

“…Among them, we can note color echo holography, information compression in three-level environments, copying of quantum information, and multi-level quantum gates that perform logical operations. In addition, the recording and reproduction of echo holograms in multi-level systems leads to the possibility, along with logical operations, to perform a change in the real-time scale and the sequence of events in the echo-hologram response, the data on which were embedded into the temporal structure of the object laser pulse. …”
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Regulation of hedonic feeding rhythms by circadian clocks in leptin-receptive neurons by Jazmin Osorio-Mendoza, Jana-Thabea Kiehn, Sarah Stenger, Keno O. Heinen, Laura Griewahn, Christiane E. Koch, Undine Haferkamp, Violetta Pilorz, Johanna L. Barclay, Parth Joshi, Lisbeth Harder, Olaf Jöhren, Peter Kühnen, Gregor Eichele, Henrik Oster

“…Finally, when clock function is disrupted in leptin-sensitive neurons only, mice display a lower sensitivity to palatable food, along with reduced initial weight gain and adipose hypertrophy under obesogenic diet conditions. Conclusions: Our data describe a local clock-controlled central leptin gating mechanism that modulates hedonic food intake rhythms and impacts metabolic homeostasis.…”
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Enhancing runoff simulation by combining superflex with deep learning methods in China's Qinghai Lake Basin, Northeast Tibetan Plateau by Kaixun Liu, Na Li, Sihai Liang

“…This study investigates hybrid models combining the Superflex hydrological model with Gated Recurrent Unit (GRU) for runoff modeling and simulation in the Qinghai Lake Basin. …”
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An efficient parallel runoff forecasting model for capturing global and local feature information by Yang-hao Hong, Dong-mei Xu, Wen-chuan Wang, Hong-fei Zang, Xiao-xue Hu, Yan-wei Zhao

“…When predicting runoff data for three different hydrological conditions, the PCPFN model achieved R2 values of 0.97, 0.98, and 0.97, respectively, with other evaluation indicators significantly outperforming the benchmark models. …”
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SmartRipen: LSTM-GRU feature selection& XGBoost-CNN for fruit ripeness detection by Archana Ganesh Said, Bharti Joshi

“…Artificial ripening, frequently performed with the use of calcium carbide, speeds up the process but harms fruit and its nutritional value. …”
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Brokerage and social segregation: a case study of cluster housing environment in Gading Serpong, Indonesia by Aryaning Arya Kresna, Pamerdi Giri Wiloso, Wilson Therik, Willi Toisuta

“…Design/methodology/approach – This research is qualitative research with data collection techniques through in-depth interviews with several parties identified as brokerages in the research object area. …”
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Elucidating the role of KCTD10 in coronary atherosclerosis: Harnessing bioinformatics and machine learning to advance understanding by Xiaomei Hu, Fanqi Liang, Man Zheng, Juying Xie, Shanxi Wang

“…KCTD10, a protein implicated in a variety of biological processes, has garnered significant attention for its role in cardiovascular diseases and metabolic regulation. …”
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A Guide for Developing Demo‐Genetic Models to Simulate Genetic Rescue by Julian E. Beaman, Katie Gates, Frédérik Saltré, Carolyn J. Hogg, Katherine Belov, Kita Ashman, Karen Burke daSilva, Luciano B. Beheregaray, Corey J. A. Bradshaw

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DDoS Attack Detection in SDN-Assisted Federated Learning Environment Based on Contrastive Learning by Minghong Fan, Jinghua Lan, Yiyi Zhou, Mengshuang Pan, Junrong Li, Daqiang Zhang

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A novel prediction of the PV system output current based on integration of optimized hyperparameters of multi-layer neural networks and polynomial regression models by Hussein Mohammed Ridha, Hashim Hizam, Seyedali Mirjalili, Mohammad Lutfi Othman, Mohammad Effendy Ya’acob, Noor Izzri Bin Abdul Wahab, Masoud Ahmadipour

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