Artificial Intelligence Methods Applied to Catalytic Cracking Processes by Fan Yang, Mao Xu, Wenqiang Lei, Jiancheng Lv

“…Product yield analysis, flue gas desulfurization prediction, and abnormal condition warning are several key research directions in FCC. This paper will sort out the relevant research results of the existing Artificial Intelligence (AI) algorithms applied to the analysis and optimization of catalytic cracking processes, with a view to providing help for the follow-up research. …”
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Applying the Intelligence of Ant and Tabu Search to Solve The 8-puzzle Problem by Ruqaya Sha’ban

“…The research tackled artificial intelligent methods to solve one of the optimization problems by using artificial ant by applying ant colony optimization algorithm and also tabu search algorithm to find the solution of sliding tile 8-puzzel problem. …”
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Machine learning and microfluidic integration for oocyte quality prediction by Hassan Saffari, Davood Fathi, Peyman Palay, Hamid Gourabi, Rouhollah Fathi

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Development of psychological and educational aspects of interaction between medical workers and patients by T. V. Ryabova, A. A. Mutigullina

“…To develop a patient education algorithm used by medical workers. The leading method for studying this problem is a pedagogical experiment, as well as a statistical processing of quantitative research results. …”
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Optimization design of urban rainwater and flood drainage system based on SWMM by Cao Xihan

“…To improve the overall performance of urban rainwater and flood drainage system, a coupling model of multiobjective optimization algorithm and rainstorm management model is constructed. …”
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Development and indirect validation of a model predicting frailty in the French healthcare claims database by Hana Lahbib, Laurence Mandereau-Bruno, Sarah Goria, Vérène Wagner, Marion J Torres, Catherine Féart, Catherine Helmer, Karine Pérès, Laure Carcaillon-Bentata

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Brain age prediction from MRI images based on a convolutional neural network with MRMR feature selection layer by Mustafa Hatem Al Ghariri, Seyed Omid Shahdi

“…To do this, sophisticated algorithms and neural networks are used to scan MRI brain pictures in order to extract different brain properties, including cortical thickness and volume. …”
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Multi-Objective Optimization of Urban Air Transportation Networks Under Social Considerations by Nikolas Hohmann, Sebastian Brulin, Jurgen Adamy, Markus Olhofer

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Replicating associative learning of rodents with a neuromorphic robot in an open-field arena by Tianze Liu, Kang Jun Bai, Hongyu An

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Machine learning model for classifying high school students’ academic performance in mathematics amidst the COVID-19 context by Gisella Luisa Elena Maquen-Niño, Moisés Alvin Miguel_Flores, Leysi Yarely Aurich_Mio, Ivan Adrianzén Olano, Percy Edwin De la Cruz Vélez de Villa, Diana Mercedes Castro Cárdenas

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Fairness in Healthcare Services for Italian Older People: A Convolution-Based Evaluation to Support Policy Decision Makers by Davide Donato Russo, Frida Milella, Giuseppe Di Felice

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A Safe and Efficient Global Path-Planning Method Considering Multiple Environmental Factors of the Moon Using a Distributed Computation Strategy by Ruyan Zhou, Yuchuan Liu, Zhonghua Hong, Haiyan Pan, Yun Zhang, Yanling Han, Jiang Tao

“…Lunar-rover path planning is a key topic in lunar exploration research, with safety and computational efficiency critical for achieving long-distance planning. …”
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Detection Method for Bolts with Mission Pins on Transmission Lines Based on DBSCAN-FPN by Zhenbing ZHAO, Shuai ZHANG, Wei JIANG, Peng WU

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Comparing an Artificial Intelligence Planner with Traditional Optimization Methods: A Case Study in the Dairy Industry by Felipe Martins Müller, Vanessa Andréia Schneider, Olinto Cesar Bassi de Araujo, Claudio Roberto Scheer Júnior, Guilherme Lopes Weis

“…The APS application showed limitations compared to the other optimization approaches, with the Exact Method proving the most efficient. Finally, all algorithms, models, and results are available on GitHub, aiming to foster further research and enhance operational efficiency in the dairy sector through optimization.…”
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Using Methods of Intellectual Analysis to Step up Profitability of Network Business by N. P. Savina, N. A. Galstyan, O. V. Litvishko, E. A. Zakrevskaya

“…Its factor is equal to 0.514, which testifies to rather high accuracy of results and possibility to introduce this algorithm into real business practice. By cluster analyzing the multitude of drug-store chains a set of three clusters was identified. …”
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A two-stage robust optimization for EV user-friendly VPP participation in ancillary service markets by Yu Wang, Xiangrui Tong, Yiheng Xie, Bing Chen, Ning Tong, Xiaomei Wu

“…A power allocation strategy was implemented based on a consensus algorithm that takes into account the satisfaction level of EV users participating in ancillary services and the battery degradation cost. …”
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Robust Image Encryption with 2D Hyperchaotic Map and Dynamic DNA-Zigzag Encoding by Haijun Zhang, Xiaojiao Liu, Kehan Chen, Rigen Te, Fei Yan

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Analysis on VANET routing protocols by Zhen-hua WU, Peng HU

“…Many present VANET routing algorithms were carefully analyzed and the result turned to classify into 4 classes:location based greedy routing algorithm,anchor node based routing algorithm,street row based routing algorithm and cluster based routing algorithm.Characters for each kind of algorithm were implemented and compared to each other by using the NS2.The experiment data and analysis result will provide a new subject for further research of VANET routing.…”
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Analysis on VANET routing protocols by Zhen-hua WU, Peng HU

“…Many present VANET routing algorithms were carefully analyzed and the result turned to classify into 4 classes:location based greedy routing algorithm,anchor node based routing algorithm,street row based routing algorithm and cluster based routing algorithm.Characters for each kind of algorithm were implemented and compared to each other by using the NS2.The experiment data and analysis result will provide a new subject for further research of VANET routing.…”
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Novel distance-fitness learning scheme for ameliorating metaheuristic optimization by Emre Çelik, Essam H. Houssein, Mahmoud Abdel-Salam, Diego Oliva, Ghanshyam G. Tejani, Nihat Öztürk, Sunil Kumar Sharma, Mohammed Baljon

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