A Mechanical Fault Diagnosis Method for On-Load Tap Changers Based on GOA-Optimized FMD and Transformer by Ruifeng Wei, Zhenjiang Chen, Qingbo Wang, Yongsheng Duan, Hui Wang, Feiming Jiang, Daoyuan Liu, Xiaolong Wang

Subjects: “…on-load tap changer…”
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Thermal Load Predictions in Low-Energy Buildings: A Hybrid AI-Based Approach Integrating Integral Feature Selection and Machine Learning Models by Youness El Mghouchi, Mihaela Tinca Udristioiu

“…Initially, 13 machine learning (ML) models were assessed to predict heating and cooling loads. The best-performing models from this stage were then selected for the subsequent phase to find out the optimal combinations of inputs to predict thermal loads. …”
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Investigation into the influence of vibratory roller dynamic characteristics on interaction features of Frame-Drum-Soil system elements by I. S. Tyuremnov

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Load identification method based on one class classification combined with fuzzy broad learning by Wang Yi, Wang Xiaoyang, Li Songnong, Chen Tao, Hou Xingzhe, Fu Xiuyuan

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Interrelation of HPV-infection of endometry carcinoma and its clinical-morphological features by T. A. Zykova, T. I. Moiseenko, E. M. Frantsiyants, M. A. Vovkochina

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Explainable multi-step heating load forecasting: Using SHAP values and temporal attention mechanisms for enhanced interpretability by Alexander Neubauer, Stefan Brandt, Martin Kriegel

Subjects: “…Multi-step load forecasting…”
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A Diffusion–Attention-Enhanced Temporal (DATE-TM) Model: A Multi-Feature-Driven Model for Very-Short-Term Household Load Forecasting by Yitao Zhao, Jiahao Li, Chuanxu Chen, Quansheng Guan

Subjects: “…very-short-term load forecasting…”
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Features of heavy metal input with flood sediments on the reclaimed lands of the floodplain agricultural landscape by Andrey V. Ilyinsky, Konstantin N. Evsenkin, Artyom A. Pavlov

“…Purpose: to study the features of pollutant input into the agro-ecosystem of reclaimed lands of the floodplain agricultural landscape depending on the level of sediment load. …”
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Geo-Statistics and Deep Learning-Based Algorithm Design for Real-Time Bus Geo-Location and Arrival Time Estimation Features with Load Resiliency Capacity by Smail Tigani

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Cellulose Ether/Citric Acid Systems Loaded with SrTiO₃ Nanoparticles with Solvent-Tailored Features for Energy-Related Technologies by Raluca Marinica Albu, Mihaela Iuliana Avadanei, Lavinia Petronela Curecheriu, Gabriela Turcanu, Iuliana Stoica, Marius Soroceanu, Daniela Rusu, Cristian-Dragos Varganici, Victor Cojocaru, Andreea Irina Barzic

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Development of an XGBoost-based prediction model for wound recurrence risk in diabetic foot ulcer patients treated with antibiotic-loaded bone cement by Yi Zhang, Yi Zhang, Xingyu Sun, Cheng Cheng, Nianzong Hou, Nianzong Hou, Shiliang Han, Xin Tang

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New Appliance Signatures for NILM Based on Mono-Fractal Features and Multi-Fractal Formalism by Anam Mughees, Muhammad Kamran, Neelam Mughees, Abdullah Mughees, Krzysztof Ejsmont

Subjects: “…Non-intrusive load monitoring…”
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Design and implementation of J2EE-based statement feature recognition in English teaching system optimization by Lina Wang

“…Based on optimized J2EE, this paper presents the implementation of sentence feature recognition in the English teaching system. …”
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Features of the bridge span performance when shifting the axis of the rail-sleeper grid by V. V. Korolev, A. A. Loktev, I. V. Shishkina, E. A. Gridasova

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Two-stage Non-Intrusive Load Monitoring method for multi-state loads. by Lei Wang, Xia Han, Yushu Cheng, Jiaqi Ma, Xuerui Zhang, Xiaoqing Han

“…The V-I trajectories of loads are at first classified with Resnet18. Then, load features with low redundancy is obtained through the Max-Relevance and Min-Redundancy (mRMR) feature selection algorithm from various operating states of loads that were not successfully classified. …”
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A Novel Approach to Cognitive Load Measurement in N-Back Tasks Using Wearable Sensors, Empirical Mode Decomposition With Machine Learning, and Explainable AI for Feature Importance by Aakanksha Dayal, Ziaullah Khan, Kiramat Ullah, Hee-Cheol Kim

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Laboratory Investigation of the Behavior of Helical Piles under Monotonic Loading at Different Loading Speeds by Seyed Sajjad Hosseini, Mohsen Keramati, Reza Hoseinpour

“…Helical piles are a new method that has become very popular in recent years due to the unique features of this type of pile, the most important of which is that it is environmentally friendly. …”
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Parallel Multi-Model Energy Demand Forecasting with Cloud Redundancy: Leveraging Trend Correction, Feature Selection, and Machine Learning by Kamran Hassanpouri Baesmat, Zeinab Farrokhi, Grzegorz Chmaj, Emma E. Regentova

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Experimental studies of load transformation of the support contour of a load-lifting crane by Potakhov D.A., Vatulin J.S.

“…One of the features of operation of self-propelled boom cranes is balancing of the hoisting crane on outriggers, i.e. cyclic loading and unloading of the crane supports depending on the azimuthal position of the rotating part of the crane with the load. …”
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Next generation of ICeGaNⓇ for superior no load and light load performance by Kalparupa Mukherjee, Jin Zhang, Kaspars Ledins, Carlos Toyos Bada, Nirmana Perera, Loizos Efthymiou, Sheung Wai Fung, Martin Arnold, Giorgia Longobardi, Florin Udrea

“…The second series of ICeGaN products (H2) comprising of 55, 130 and 240 mΩ power devices, advances the ICeGaN concept with an intelligent fully integrated NL3 circuit which aims at particularly minimizing the power losses under no-load and light-load conditions. When the external gate is in OFF state, the current consumption of the Vdd pin (Idd) is reduced to near-zero (typical 70 µA) in H2 devices. …”
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