A Fault Sources-Based Probabilistic Seismic Hazard Analysis for Next-Generation Seismic Ground Motion Parameters Zonation Map of China by Jiatong Wei, Kun Chen, Mengtan Gao, Jian Zhou, Yongzhe Wang, Yingzhe Cai

“…Validation against test cases from the Pacific Earthquake Engineering Research Center (PEER) demonstrated the algorithm’s reliability. …”
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Exploring Solution Strategies for Volterra Integro-Differential Lane–Emden Equations in Astrophysics Using Haar Scale 3 Wavelets by Ratesh Kumar, Sabiha Bakhtawar, Homan Emadifar

“…The current research introduces a novel approach to address the computational challenges associated with solving the Lane–Emden-type equations by transforming them from their conventional differential form to the corresponding integro-differential form. …”
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Prediction of Students’ Performance Based on the Hybrid IDA-SVR Model by Huan Xu

“…The aim of this study is to propose a novel intelligent approach to predict students’ performance using support vector regression (SVR) optimized by an improved duel algorithm (IDA). To the best of our knowledge, few research studies have been developed to predict students’ performance based on student behavior, and the novelty of this study is to develop a new hybrid intelligent approach in this field. …”
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Optimal Identification for Dynamic PV Cell Parameter Based on a Data-Extension-Driven Method by Yun Long, Youfei Lu, Li Wang, Tao Bao, Chen Chen

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Modelling of fracture processes in laminate composite plates with embedded delamination by Mikhail A. Tashkinov

“…Influence of the initial delamination size on the rate of growth of the defect is studied. A comparative analysis of the applicability of fracture criteria to modeling of samples with delamination were performed, including implementation of element deletion algorithm. …”
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VELOCITY GRADIENT OF THE FLOOR EXERCISE by Marina Petrova, Bonka Dimitrova

“…The basic motor habits differ only as regards the specificity of the particular apparatus. The aim of the research is to establish the role of the velocity gradient for the learning algorithm in a multi-annual aspect and on floor exercise. …”
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A novel machine learning model for perimeter intrusion detection using intrusion image dataset. by Shahneela Pitafi, Toni Anwar, I Dewa Made Widia, Zubair Sharif, Boonsit Yimwadsana

“…To overcome these limitations, this research enhances the traditional DBSCAN algorithm. …”
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Cooperative Method of Request PLANNING IN IDENTITY Management systems by P. Yu. Piniuta, V. V. Bakhtizin

“…The results of experimental research were shown.…”
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Index analysis of differentiation of the Russian Federation regions on the basic indicators of innovation activity by S. G. Babich

“…Problems of innovative development of the regions, as well as the methodology of statistical research of innovation activities are considered in the works of domestic scientists (M.Arkhipova, A.Varshavsky, L.Gokhberg, T.Dubrova, S.Ilyenkova, V.Kuznetsov, N.Sadovnikova and others), but the comparative analysis of innovation activity in the regions based on the  index method was not carried out. …”
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Demand Prediction of Emergency Supplies under Fuzzy and Missing Partial Data by Ming Zhang, Hanlin Wu, Zhifeng Qiu, Yifan Zhang, Boquan Li

“…An accurate demand prediction of emergency supplies according to disaster information and historical data is an important research subject in emergency rescue. This study aims at improving supplies demand prediction accuracy under partial data fuzziness and missing. …”
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Temporal Alignment and Demonstration Selection as Pre-Processing Phase for Learning by Demonstration by Jérémie Donjat, Amélie Legeleux, Cédric Buche, Dominique Duhaut

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Ground-Truth-Free 3D Seismic Denoising Based on Diffusion Models: Achieving Effective Constraints Through Embedded Self-Supervised Noise Modeling by Zhonghan Zhang, Guihe Qin, Yanhua Liang, Minghui Sun, Yingqing Wang, Jiaru Song

“…In the experimental section, we comprehensively compare the proposed algorithm with six different types of seismic denoising methods. …”
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ARCHIMEDES: Active Reasoning Conducted with Heterogeneous Information Monitors for Evading Dangers and Extended Surveillance by Simon Schoenbeck, Ugur Kuter

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Applying a Support Vector Machine (SVM-RFE) Learning Approach to Investigate Students’ Scientific Literacy Development: Evidence from Asia, Europe, and South America by Jian Li, Jianing Wang, Eryong Xue

“…Our research has pinpointed 30 key factors from a broader set of 162 contextual factors that are indicative of outstanding scientific literacy among 15-year-old secondary school students. …”
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OPERATIONAL ANALYSIS OF COMPLEX MEDICAL STATES BY PHOTONICS METHODS by A. I. Larkin, K. A. Trukhanov

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BDS Multipath Parameter Estimation in the Presence of Impulsive Noise by Jicheng Ding, Lin Zhao, Chun Jia, Zhibin Luo

“…A modified least mean p-norm (LMP) algorithm is developed to reduce the convergence time with the same steady-state error by predicting the updating trend of weights. …”
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USING HEURISTIC METHODS AND TECHNIQUES TO STIMULATE A COLLECTIVE CREATIVITY OF EMPLOYEES OF THE ENTERPRISE by G. Lozova

“…A comparative analysis of basic heuristic methods and techniques for the phase of science research and development is conducted.…”
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Evaluating Task Optimization and Reinforcement Learning Models in Robotic Task Parameterization by Michele Delledonne, Enrico Villagrossi, Manuel Beschi, Alireza Rastegarpanah

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On the Comparison of Markov Chains-based Models in Process Mining for Healthcare: A Case Study by Mauro Vallati, Stefania Orini, Mariagrazia Lorusso, Mariachiara Savino, Roberto Gatta, Massimiliano Filosto

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Enhanced Noise Suppression in Partial Discharge Signals via SVD and VMD with Wavelet Thresholding by Hailong Wang, Yongliang Yao, Guangdong Zhang, Jidong Pan, Longlong Gao, Hai Jin, Chuang Wang

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