Research on the optimal scheduling of a multi-storage combined integrated energy system based on an energy supply grading strategy by Na Zhang, Feng You, Bingqian Hu, Jingyu Li, Guangchen Liu

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SECURE USER AUTHENTICATION IN THE CLOUD: LEVERAGING FACE RECOGNITION TECHNOLOGY by Yellamma Pachipala, Muzamil Raheman Shaik, Jaya Ram Samavedam, Anvitha Peddineni, V V R Maheswara Rao

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Distributed OPGW abnormal vibration monitoring and forewarning based on LSTM by Tianlong Bu, Hanpeng Kou, Dapei Zhang, Zhenhua Feng, Helen Law, Bin Wang

“…In addition, the abnormal vibration forewarning method is analyzed by correlating predicted data with historical data. Experimental results in Hulunbuir demonstrate that the LSTM algorithm performs well in predictions over a 22-h period, evidenced by a root mean square error of 0.8729 and a determination coefficient (R2) of 0.9938 for the fitting curve with actual results. …”
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Sagittal Plane Kinematic Deviations and Spatio-Temporal Gait Characteristics in Children with Idiopathic Toe Walking: A Comparative Analysis Using Statistical Parametric Mapping by Rocio Pozuelo-Calvo, Almudena Serrano-Garcia, Yolanda Archilla-Bonilla, Angel Ruiz-Zafra, Manuel Noguera-Garcia, Kawtar Benghazi-Akhlaki, Miguel Membrilla-Mesa, Carla DiCaudo, Jose Heredia-Jimenez

“…Sagittal plane kinematics revealed a consistent reduction in anterior pelvic tilt (<i>p</i> = 0.002), reduced hip and knee flexion during stance and swing phases (<i>p</i> < 0.001), and excessive ankle plantarflexion during early stance and terminal swing phases (<i>p</i> < 0.001). …”
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Extracellular mRNA detected by molecular beacons in tethered lipoplex nanoparticles for diagnosis of human hepatocellular carcinoma. by Xinmei Wang, Kwang Joo Kwak, Zhaogang Yang, Aili Zhang, Xiaoli Zhang, Rachael Sullivan, Dan Lin, Robert L Lee, Carlos Castro, Kalpana Ghoshal, Carl Schmidt, L James Lee

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Measurement Research of Free-form Lens Optical Parameters Based on Transmission Fringe Deflectometry by Xiaoxiao Wei, Xiaobing He, Zhenqiu Dai, Hao Zhang

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Teaching postsecondary students about the ethics of artificial intelligence: A scoping review protocol. by Calvin Hillis, Maushumi Bhattacharjee, Batool AlMousawi, Tarik Eltanahy, Sara Ono, Marcus Hui, Ba' Pham, Michelle Swab, Gordon V Cormack, Maura R Grossman, Ebrahim Bagheri, Zack Marshall

“…The field of AI carries inherent risks such as algorithmic biases, security vulnerabilities, and ethical concerns related to privacy and data protection. …”
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AI in enhancing cultural sensitivity by Dwi Mariyono, Mufidul Abror

“…This research highlights AI's potential to foster adaptive learning environments, enhance engagement, and address educational inequalities. Recommendations emphasize the importance of ethical AI implementation to support equitable and inclusive practices in multicultural education.…”
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Investigating methods to enhance interpretability and performance in cardiac MRI for myocardial scarring diagnosis using convolutional neural network classification and One Match. by Michael H Udin, Sara Armstrong, Alice Kai, Scott T Doyle, Saraswati Pokharel, Ciprian N Ionita, Umesh C Sharma

“…Enhancements such as autodidactic enhancement (AE) and patient-level classifications (PLCs) were applied to improve the predictive accuracy of both methods. Results are reported as follows: accuracy, sensitivity, specificity, precision, and F1-score. …”
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Experimental and Theoretical Study of the Axial Distribution of Solid Phase Particles in a Fluidized Bed by A. V. Mitrofanov, V. E. Mizonov, N. S. Shpeynova, S. V. Vasilevich, N. K. Kasatkina

“…The algorithm involved splitting the image by height into separate rectangular areas, identifying the particles and counting their number in each of these areas. …”
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EXPLORING A NOVEL HEXACO PERSONALITY TRAITS ON TWITTER: AN ENSEMBLE-BASED NLP METHODOLOGY by Tanvi Desai, Divyakant Meva

“…Feature selection employs the Hybrid Kepler Inspired Secretary Bird (HKISP) algorithm, a combination of the Kepler Optimization Algorithm (KOA) and Secretary Bird Optimization (SBO). …”
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Mapping Landslide Sensitivity Based on Machine Learning: A Case Study in Ankang City, Shaanxi Province, China by Baoxin Zhao, Jingzhong Zhu, Youbiao Hu, Qimeng Liu, Yu Liu

“…The main purpose of this research is to apply the logistic regression (LR) model, the support vector machine (SVM) model based on radial basis function, the random forest (RF) model, and the coupled model of the whale optimization algorithm (WOA) and genetic algorithm (GA) with RF, to make landslide susceptibility mapping for the Ankang City of Shaanxi Province, China. …”
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Difficulties of Differential Diagnosis of Colon Diseases in the Infectious Practice by L. N. Mazankova, T. A. Chebotareva, E. I. Aliyevа, M. I. Pykov, E. I. Makarova, E. G. Moreva

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基于小波包分析和改进自适应遗传算法的齿轮故障诊断 by 戚晓利, 潘紫微

“…The gear is one of the most important elements in the trainsmission system.Aiming at the fault diagnosis problem of gear,a new gear fault diagnosis method that based on wavelet packet analysis and improving adaptive genetic algorithm is put forward,and which is on the basis of synthesizing the advantages of wavelet-packet noise reduction,fuzzy logic,high-order BP neural network and improving adaptive genetic algorithm.The experimental results show that this method has advantage over the routine method in classification precision and training total error control.…”
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Large‐scale identification of genetic design strategies using local search by Desmond S Lun, Graham Rockwell, Nicholas J Guido, Michael Baym, Jonathan A Kelner, Bonnie Berger, James E Galagan, George M Church

“…Methods based on flux–balance analysis (FBA) and bi‐level optimization have been used to great effect in aiding metabolic engineering. These methods predict the result of genetic manipulations and allow for the best set of manipulations to be found computationally. …”
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Calibration and surrogate model-based sensitivity analysis of crystal plasticity finite element models by Hugh Dorward, David M. Knowles, Eralp Demir, Mahmoud Mostafavi, Matthew J. Peel

“…Crystal plasticity models are powerful tools for predicting the deformation behaviour of polycrystalline materials accounting for underlying grain morphology and texture. …”
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Penerapan Teknik Random Oversampling Untuk Memprediksi Ketepatan Waktu Lulus Menggunakan Algoritma Random Forest by Sri Diantika, Hiya Nalatissifa, Nurlaelatul Maulidah, Riki Supriyadi, Ahmad Fauzi

“…This research on the prediction of student graduation timeliness uses a random forest algorithm model. …”
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Improving the Classification Accuracy for Near-Infrared Spectroscopy of Chinese Salvia miltiorrhiza Using Local Variable Selection by Lianqing Zhu, Haitao Chang, Qun Zhou, Zhongyu Wang

“…Then, a local classification model has been built, and the most proper spectral region has been selected based on the new evaluation criterion considering both classification error rate and best predictive ability under the leave-one-out cross validation scheme for each pair of classes. …”
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Oxidative stability of biodiesel in the presence of leaves and fruit extracts by Isadora Guilherme Branco, Erica Signori Romagnoli, José Gonçales Filho, Ana Carolina Gomes Mantovani, Dionisio Borsato

“…The lack of fit was not significant at the same level with p1 = 0.132 and p2 = 0.653, showing that they can be used for predictive purposes. The analysis of the response surface and optimization using the super modified simplex method revealed that higher proportions of coffee leaves extract in the mixture yielded superior IP values and lower k values.…”
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NMPC-Based 3D Path Tracking of a Bioinspired Foot-Wing Amphibious Robot by Heqiang Cao, Hailong Wang, Zhiqiang Hu

“…To this end, a nonlinear model predictive control (NMPC) algorithm is employed to compute optimal control inputs, as it effectively addresses the challenges of strong nonlinearity, coupling effects, and multi-objective optimization. …”
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