Evaluating the performance of cultural strategies with fuzzy data envelopment analysis: a case study of ecotourism centers in Mazandaran province by Narges Larijani, Morteza Shafiee, Seyyed Najafi

“…These ecotourism centers were evaluated with three entrances and three exits, and the inputs were the total land area of the ecotourist residence (square meters), the number of rooms in the ecotourism residence, and the maximum capacity of the ecotourism residence (persons). …”
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DESENVOLVIMENTO DE PRODUTOS DE FORMA EFICIENTE NAS ORGANIZAÇÕES ATUAIS by Marlons Lino da Cruz, Antonio Marcos de Oliveira Siqueira, Israel Iasbik, José Damato Neto

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Numerical assessment of heat transfer and entropy generation of a mixed convection ferrofluid flow under the effect of a non-uniform magnetic field by Kamel Zitouni, Messaouda Boumaaza, Lakhdar Aidaoui, Yahia Lasbet, Houssam Eddin Abdellatif, Shan Ali Khan, Yazid Chetbani, Ahmed Belaadi, Ibrahim M.H. Alshaikh, Djamel Ghernaout

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Store Separation: Photogrammetric Solution for the Static Ejection Test by Luiz Eduardo Guarino de Vasconcelos, Nelson Paiva Oliveira Leite, André Yoshimi Kusumoto, Leandro Roberto, Cristina Moniz Araujo Lopes

“…The two main techniques for determining the quantitative store trajectory data with 6DoF (six degrees of freedom) are photogrammetry and instrumented telemetry packages (data obtained from inertial sensors that are installed in the store). …”
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Process variables in mixture experimental design applied to wood plastic composites by Javier Cruz-Salgado, Sergio Alonso-Romero, Edgar Augusto Ruelas-Santoyo, José Alfredo Jiménez-García, Israel Miguel-Andrés, Roxana Zaricell Bautista-López

“…The model demonstrates strong predictive accuracy, with R-squared and adjusted R-squared values of 92% and 86%, respectively, and a low root mean square error (S) of 0.2818. …”
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ADOPTION OF ARTIFICIAL INTELLIGENCE AND DIGITAL SUPPLY CHAIN FOR ENHANCING SUPPLY CHAIN PERFORMANCE: MEDIATING ROLE OF GREEN SUPPLY CHAIN PROCESS by Abdulaziz Aljoghaiman, Sanjar Mirzaliev

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Pulse2AI: An Adaptive Framework to Standardize and Process Pulsatile Wearable Sensor Data for Clinical Applications by Sicong Huang, Roozbeh Jafari, Bobak J. Mortazavi

“…<italic>Methods:</italic> We proposed an end-to-end data preprocessing framework that adapts multiple pulsatile signal modalities and generates machine-learning-ready datasets agnostic to downstream medical tasks. …”
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Reliable Quantized Fuzzy Controller Design for Nonlinear Singularly Perturbed Systems With Markovian Jumps and Dynamic Event Triggered Mechanism by Rabeh Abbassi, Mourad Kchaou, Hamdi Gassara, Houssem Jerbi

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Optimized parameter estimation of lithium-ion batteries using an improved cuckoo search algorithm under variable temperature profile by Tasadeek Hassan Dar, Satyavir Singh

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Development of improved deep learning models for multi-step ahead forecasting of daily river water temperature by Mehdi Gheisari, Jana Shafi, Saeed Kosari, Samaneh Amanabadi, Saeid Mehdizadeh, Christian Fernandez Campusano, Hemn Barzan Abdalla

“…This study addresses the limited use of signal decomposition in hybrid WT prediction models by proposing three methods: namely ensemble empirical mode decomposition (EEMD) on AdaBoost, long short-term memory (LSTM), and gated recurrent unit (GRU). These models integrate ensemble empirical mode decomposition (EEMD) with machine learning techniques for forecasting WT across multiple time horizons (one, three, and five days). …”
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Dynamic Response of a Circular Tunnel in an Elastic Half Space by İrfan Coşkun, Demirhan Dolmaseven

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Design and Analysis of Combined Valve Spool with Linear Flow Coefficient by Changxiong Xie, Heng Su, Jun Yang, Zhongjing He

“…The results show that the flow discharge of the mixed curve combined spool is more linear and the residual sum of squares is the smallest, which is 2.56 × 10−3 under CFD numerical simulation and 3.26 × 10−4 under experiment. …”
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Indentation measurement of thin plates using 3D digital image correlation and experimental validation by Juan-Antonio Almazán-Lázaro, Elías López-Alba, Francisco-Alberto Díaz-Garrido

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Combined Parameter and State Estimation Algorithms for Multivariable Nonlinear Systems Using MIMO Wiener Models by Houda Salhi, Samira Kamoun

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Enhanced early prediction of Li-ion battery degradation using multicycle features and an ensemble deep learning model by Meilia Safitri, Teguh Bharata Adji, Adha Imam Cahyadi

“…This study introduces a GRU-LSTM ensemble model that combines Gated Recurrent Units (GRU) and Long Short-Term Memory (LSTM) networks to forecast the end-of-life (EoL) of LIBs. …”
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A New Empirical Correlation for Estimation of EBF Steel Frame Behavior Factor under Near-Fault Earthquakes Using the Genetic Algorithm by Seyed Abdonnabi Razavi, Navid Siahpolo, Mehdi Mahdavi Adeli

“…In most seismic codes, this coefficient is merely dependent on the type of lateral resistance system and is introduced with a fixed number. However, there is a relationship between the behavior factor, ductility (performance level), structural geometric properties, and type of earthquake (near and far). …”
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An interpretable and stacking ensemble model for predicting heat and mass transfer of desiccant wheel by Mengyang Li, Liu Chen

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Investigation of the application of an automated monitoring system for detecting transmission cable deterioration in Nigeria: A case study of transmission cable lines between Offa... by C.S. Omoniabipi, R. Agbadede, K.C. Emmanuel, O.J. Adewuni, I. Allison

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Fuzzy multi-model based dynamic sliding mode control for chemical process with long-time delay by Marco Herrera, Oscar Camacho, Alvaro Prado

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Efficient Hybrid Iterative Method for Signal Detection in Massive MIMO Uplink System over AWGN Channel by Zelalem Melak Gebeyehu, Ram Sewak Singh, Satyasis Mishra, Davinder Singh Rathee

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