A Deep Learning Algorithm for Multi-Source Data Fusion to Predict Effluent Quality of Wastewater Treatment Plant by Shitao Zhang, Jiafei Cao, Yang Gao, Fangfang Sun, Yong Yang

“…Together, these factors make the control of effluent quality in wastewater treatment plants (WWTPs) difficult to manage effectively. …”
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xLSTM-Based Urban Traffic Flow Prediction for Intelligent Transportation Governance by Chung-I Huang, Jih-Sheng Chang, Jun-Wei Hsieh, Jyh-Horng Wu, Wen-Yi Chang

“…Methodologically, the xLSTM model incorporates matrix-based memory cells and exponential gating mechanisms to enhance spatio-temporal learning capabilities. …”
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Integrating Machine Learning and Multi-Objective Optimization in Biofuel Systems: A Review by Ivan P. Malashin, Dmitry A. Martysyuk, Vadim S. Tynchenko, Andrei P. Gantimurov, Vladimir A. Nelyub, Aleksei S. Borodulin

“…Studies have leveraged hybrid models, including Convolutional Neural Network - Gated Recurrent Unit (CNN-GRU) networks for emission control and Neutrosophic Fuzzy Optimization (NFO) for uncertainty handling. …”
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Cooperative game scheduling and revenue sharing strategy for virtual power plants considering scenery uncertainty by SONG Duoyang, XUE Tianliang, LI Yipu, TU Jintong, BI Yuhao, WANG Mankang

“…Virtual power plants (VPP) efficiently aggregate small-capacity and large-volume distributed energy resources through advanced control technologies to participate in electricity market transactions. …”
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Research on Inspection Method of Intelligent Factory Inspection Robot for Personnel Safety Protection by Ruohuai Sun, Bin Zhao, Chengdong Wu, Xiaohong Qin

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A Secure IIoT Environment That Integrates AI-Driven Real-Time Short-Term Active and Reactive Load Forecasting with Anomaly Detection: A Real-World Application by Md. Ibne Joha, Md Minhazur Rahman, Md Shahriar Nazim, Yeong Min Jang

“…It ensures secure and reliable industrial operations by integrating smart data acquisition systems with real-time monitoring, control, and protective measures. We propose a Temporal Convolutional Networks-Gated Recurrent Unit-Attention (TCN-GRU-Attention) model to predict both active and reactive loads, which demonstrates superior performance compared to other conventional models. …”
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Trading off Iodine and Radiation Dose in Coronary Computed Tomography by Guillaume Fahrni, Thomas Saliba, Damien Racine, Marianna Gulizia, Georgios Tzimas, Chiara Pozzessere, David C. Rotzinger

“…Emerging technologies, such as photon-counting CT and deep-learning reconstruction, promise further improvements in dose efficiency and image quality. This review summarizes current evidence, highlights the benefits and limitations of dose control approaches, and provides practical recommendations for practitioners. …”
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Lightweight LSTM and GRU Design for Data-Driven Rotor Position Error Estimation in IPMSM Drives by Yang Zhao, Chee Shen Lim, Fei Xue, Chao Long, Andrew Huey Ping Tan

“…The rotor position error, if left uncompensated, may lead to torque fluctuation and reduced system efficiency. Different from the mainstream iterative or model-based methods introduced thus far, this article focused on a data-driven solution that is based on the use of lightweight long short-term memory (LSTM) and gated recurrent unit (GRU) neural networks, realized in conjunction with real-time embedded microcontrollers. …”
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scPDA: denoising protein expression in droplet-based single-cell data by Ouyang Zhu, Jun Li

“…Current computational denoising methods have serious limitations, including a strong reliance on often-unavailable empty droplets or null controls and insufficient efficiency due to ignoring protein-protein interactions. …”
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Analysis results of experimental operation of the protection complex of long perimeters VM 8018 by L. L. Utin, A. V. Pavlovsky, A. A. Olkhovik, A. V. Makatserchyk

“…Research Institute of Electronic Computers has developed the complex VM 8018, designed to automate the process of protecting extended perimeters of objects for various purposes, including sections of the state border, perimeters and premises of outposts, extendedperimeters of industrial and military facilities, as well as controlling executive devices (electric drives for gates and gates, lighting etc.), video surveillance.…”
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A quantum random access memory (QRAM) using a polynomial encoding of binary strings by Priyanka Mukhopadhyay

“…Additionally, with our polynomial encoding of bit strings, we develop a method to optimize the Toffoli-count of circuits, specially those consisting of multi-controlled-NOT gates.…”
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Application-specific approaches to MicroCT for evaluation of mouse models of pulmonary disease. by Elizabeth F Redente, Katrina W Kopf, Ali N Bahadur, Annette Robichaud, Lennart K Lundblad, Lindsay T McDonald

“…We demonstrate the effective use of the PATS task list using four distinct methods for imaging, 1) in vivo respiration controlled scanning using a flexiVent, 2) longitudinal breath-gated in vivo scanning in resolving and non-resolving pulmonary disease initiated by lipopolysaccharide-, bleomycin-, and silica-exposure, 3) post-mortem imaging, and 4) ex vivo high-resolution scanning. …”
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Strained two-dimensional tungsten diselenide for mechanically tunable exciton transport by Jin Myung Kim, Kwang-Yong Jeong, Soyeong Kwon, Jae-Pil So, Michael Cai Wang, Peter Snapp, Hong-Gyu Park, SungWoo Nam

“…Abstract Tightly bound electron-hole pairs (excitons) hosted in atomically-thin semiconductors have emerged as prospective elements in optoelectronic devices for ultrafast and secured information transfer. The controlled exciton transport in such excitonic devices requires manipulating potential energy gradient of charge-neutral excitons, while electrical gating or nanoscale straining have shown limited efficiency of exciton transport at room temperature. …”
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Flow rate perturbations for enhanced heat transfer and fouling mitigation in once-through steam generators by Mohan Sivagnanam, Anil K. Mehrotra, Ian D. Gates

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