Incremental capacity analysis of battery under dynamic load conditionsData downloaded from the site: . by Urvashi Saini, Sindhuja Renganathan

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Formulation of low temperature mixed mode crack propagation behavior of crumb rubber modified HMA using artificial intelligence by Sepehr Ghafari, Mehrdad Ehsani, Sajad Ranjbar, Mohammad Nabi Nazari, Fereidoon Moghadas Nejad

“…The central goal of this research is to establish prediction models for the mixed-mode (I/II) crack propagation parameters Gb, Gf, and Gi. The features selected for modeling are Gb0, Gf0, and Gi0 (mode I), percentage of crumb rubber, type of aggregate, binder content, nominal maximum aggregate size, temperature, and normalized offset ratio. …”
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Prediction of ultimate load capacity of demountable shear stud connectors using machine learning techniques by Ahmed I. Saleh, Nabil S. Mahmoud, Fikry A. Salem, Mohamed Ghannam

“…Abstract This study investigates the use of machine learning (ML) models to predict the ultimate load capacity of demountable shear connectors in steel–concrete composite structures. …”
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A Multi-Scale Time–Frequency Complementary Load Forecasting Method for Integrated Energy Systems by Enci Jiang, Ziyi Wang, Shanshan Jiang

“…This study proposes ST-ScaleFusion, a multi-scale time–frequency complementary hybrid model to enhance comprehensive energy load forecasting accuracy. The model features three core modules: a multi-scale decomposition hybrid module for fine-grained extraction of multi-time-scale features via hierarchical down-sampling and seasonal-trend decoupling; a frequency domain interpolation forecasting (FI) module using complex linear projection for amplitude-phase joint modeling to capture long-term patterns and suppress noise; and an FI sub-module extending series length via frequency domain interpolation to adapt to non-stationary loads. …”
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Short-Term Electric Load Prediction and Early Warning in Industrial Parks Based on Neural Network by Guannan Wang, Pei Yang, Jiayi Chen

“…This paper proposes a load forecasting method based on LSTM model, fully explores the regularity of historical load data of industrial park enterprises, inputs the data features into LSTM units for feature extraction, and applies the attention-based model for load forecasting. …”
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Study on the Driving Risk Reduction in the Mountain Highway Tunnel Group under the Perspective of Visual Load by Hao Lu, Tongtong Shang, Ting Shang

“…The driving risk reduction recommendations include improving the transition lighting design of the second tunnel, clarifying the tunnel group identification, and adding safety features at the tunnel connection section, in order to clarify the driver’s expectations and reduce the fear of the unknown mountain environment.…”
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Monthly Load Forecasting in a Region Experiencing Demand Growth: A Case Study of Texas by Jeong-Hee Hong, Geun-Cheol Lee

“…In this study, we consider monthly load forecasting, which is an essential decision for energy infrastructure planning and investment. …”
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Co-extrusion of highly loaded feedstocks for fabrication of stainless steel-bioceramic core-shell structures by Lisa Biasetto, Vanessa Gastaldi, Hamada Elsayed

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Probabilistic Modeling Method of Hydrogen Load of Hydrogen Refueling Station Based on Vehicle Behavior Simulation by Chunhao LU, Chunli ZHOU, Xiqiao LIN, Zhijun CHEN

“…The hydrogen load of hydrogen refueling station is affected by the travel behavior of hydrogen fuel cell vehicles, and its spatio-temporal distribution is highly uncertain. …”
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A LQR Design With Rejection of Disturbances and Robustness to Load Variations Applied to a Buck Converter by Luiz A. Maccari Junior, Rodolfo L. Valle, André A. Ferreira, Pedro G. Barbosa, Vinícius F. Montagner

“…Then, a control design procedure based on a linear quadratic regulator is proposed, having the following features: (a) an Hinf analysis condition to certify the bound on the rejection of disturbances, (b) an eigenvalue evaluation, to ensure the bound on the settling times of the slowest mode in the transient responses, and (c) a Lyapunov condition to ensure the robustness of the closed-loop system under load variations. …”
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Security analysis of agricultural energy internet considering electricity load control for dragon fruit cultivation by Xueqian Fu, Lingxi Ma, Huaichang Ge, Jiahui Zhang

“…With the increasing emphasis on sustainable energy and the advancements in modern agriculture, flexible agricultural power loads present challenges to the reliable operation of the agricultural energy internet. …”
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Inversion Method Based on Temporal Convolutional Networks for Random Ice Load on Conical Offshore Platforms by Wei Li, Ya Guo, Shuzhao Li, Yang Gao, Yan Qu

“…The TCN model is then applied to capture the time-dependent features of ice loads. To improve the model’s generalization ability, its hyperparameters are optimized using particle swarm optimization (PSO). …”
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A Non-invasive Load Recognition Approach Incorporating SENet Attention Mechanism and GA-CNN by Xin SHEN, Gang WANG, Yitao ZHAO, Zhao LUO, Zhao LI, Xiaohua YANG

“…Regarding the problems of the current non-intrusive load recognition algorithms, such as feature redundancy, high computational overhead, and low recognition performance, the paper proposes a non-intrusive load recognition method integrating SENet attention mechanism and GA-CNN. …”
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Bayesian Optimized of CNN-M-LSTM for Thermal Comfort Prediction and Load Forecasting in Commercial Buildings by Chi Nghiep Le, Stefan Stojcevski, Tan Ngoc Dinh, Arangarajan Vinayagam, Alex Stojcevski, Jaideep Chandran

“…The CNN block extracts local features, whereas the M-LSTM captures temporal dependencies. …”
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Comparing The Viral Load of Severe Acute Respiratory Syndrome Coronavirus 2 in Different Human Specimens by Ali Hattem Hussain

“…This meta-analysis study analyzed the data of 47 recent studies with data related SARS-COV-2 viral load detection in different human specimens. 1099 patients were tested for SARS-COV-2 viral load using up to 19 different respiratory and non-respiratory specimens using RT-PCR by targeting different types of viral genes of which ORF1ab is the most commonly used target gene. 9909 specimens were taken from the patients. …”
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A Dual-Linearly-Polarized Center-Fed Quadrifilar Helix Antenna Loaded With Reverse Helices by Xunting Yang, Yifeng Xu, Yuhang Dou, Miao Zhang

“…This paper proposes a dual-linearly-polarized (DLP) center-fed quadrifilar helix antenna (CF-QHA) loaded with reverse helices. It features a small transverse area, hollow-core structure, enhanced bandwidth, high cross-polarization discrimination (XPD), and high gain. …”
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Prediction of principal stresses due to external load in sans mass considering its mechanical characteristics by A. A. Lunev, R. S. Katsarskiy

“…A part of the methods for designing earthworks and foundations is based on solutions for predicting the stress state of soils under the action of an external load, which do not take into account the structural features of the material. …”
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Pomegranate extract-loaded sphingosomes for the treatment of cancer: Phytochemical investigations, formulation, and antitumor activity evaluation. by Huda Jamal AlMadalli, Bazigha K Abdul Rasool, Naglaa Gamil Shehab, Francesca Della Sala, Assunta Borzacchiello

“…<h4>Aim</h4>Formulation of Pomegranate Extracts (PE)-loaded sphingosomes as an antitumor therapy for the intravenous and passive targeted delivery to various tumor types, especially that of the breast, colon, and uterus; to increase the therapeutic activity and decrease the adverse effects profile.…”
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Numerical Analysis of Load Reduction in the Gliding Process Achieved by the Bionic Swan’s Webbed-Foot Structures by Fukui Gao, Xiyan Liu, Xinlin Li, Zhaolin Fan, Houcun Zhou, Wenhua Wu

“…Webbed-foot gliding water entry is a characteristic water-landing strategy employed by swans and other large waterfowls, demonstrating exceptional low-impact loading and remarkable motion stability. These distinctive biomechanical features offer significant potential for informing the design of cross-medium vehicles’ (CMVs’) water-entry systems. …”
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Histomorphometric evaluation of the testis after administration of methionine-loaded zinc oxide nano-particles in mice by Neda Nazarian, Mohammad Naser Nazem, Shahrzad Azizi, Pouneh Hajipour, Ehsanollah Sakhaee

“…The groups included M50 (50 mg/kg methionine), M200 (200 mg/kg methionine), NM50 (50 mg/kg methionine-loaded zinc oxide nanoparticles), NM200 (200 mg/kg methionine-loaded zinc oxide nanoparticles), and Control. …”
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