The application of blockchain with a comparative approach and its impact on risk, flexibility and internal control evaluation by mohammadsadegh aminipoor, HamidReza GholamniaRoshan, azadeh kiapour, Iman Dadashi

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Neutrosophic Semiopen Hypersoft Sets with an Application to MAGDM under the COVID-19 Scenario by D. Ajay, J. Joseline Charisma, N. Boonsatit, P. Hammachukiattikul, G. Rajchakit

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Liquid white box model as an explainable AI for surgery by Homer A. Riva-Cambrin, Rahul Singh, Sanju Lama, Garnette R. Sutherland

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A systematic review of quantum machine learning for digital health by Riddhi S. Gupta, Carolyn E. Wood, Teyl Engstrom, Jason D. Pole, Sally Shrapnel

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Enhancing e-learning through AI: advanced techniques for optimizing student performance by Rund Mahafdah, Seifeddine Bouallegue, Ridha Bouallegue

“…AI algorithms, known for their cognitive ability and capacity to learn, adapt, and make decisions, are employed to analyze and forecast student performance, thereby improving educational quality and outcomes. …”
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Blockchain and Bigdata to Secure Data Using Hash and Salt Techniques by AlSelami Fudhah A.

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Store layout optimization using indoor positioning system by Hyunwoo Hwangbo, Jonghyuk Kim, Zoonky Lee, Soyean Kim

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Evaluation of municipal programs efficiency with using of component analysis by Valeriy Vasil'evich Karpov, Artem Yur'evich Lagzdin, Konstantin Konstantinovich Loginov

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Application of neural network technology for public opinion analysis by Kyrylo Perevoznyk, Yurii Parzhyn

“…The research is devoted to studying and using neural network technologies, in particular algorithms and methods of natural language processing, to increase the efficiency of studying and analyzing public opinion of Ukraine’s partner countries regarding the war in Ukraine. …”
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A Comparison of Approaches for Handling Concept Drifts in Data Processed With Machine Learning by Emanuel Valerio Pereira, Wendley Souza da Silva

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Method of Non-Coherent Detection of Repeated Signals by A. P. Los’, A. K. Rozov

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Gender biases within Artificial Intelligence and ChatGPT: Evidence, Sources of Biases and Solutions by Jerlyn Q.H. Ho, Andree Hartanto, Andrew Koh, Nadyanna M. Majeed

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TDQE：a quality evaluation method for text data in deep learning by LUO Chunxu, XIONG Haixu, YE Yazhen, DING Yan, ZONG Shize, XIONG Yun, ZHU Yangyong

“…Comparative experiments were conducted on public datasets between TDQE and state-of-the-art methods, and the results demonstrated that TDQE outperformed existing mainstream algorithms.…”
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Forecasting readmission in COVID-19 patients utilizing blood biomarkers and machine learning in the Hospital-at-Home program by Maria Glòria Bonet-Papell, Maria Glòria Bonet-Papell, Georgina Company-Se, María Delgado-Capel, Beatriz Díez-Sánchez, Lourdes Mateu-Pruñosa, Roger Paredes-Deirós, Jordi Ara del Rey, Lexa Nescolarde

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Generating Special Curves for Cubic Polynomials by Khudoyor Mamayusupov, Figen Çilingir, Marks Ruziboev, Gafurjan Ibragimov, Bruno Antonio Pansera

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Recent advances in machine learning for defects detection and prediction in laser cladding process by X.C. Ji, R.S. Chen, C.X. Lu, J. Zhou, M.Q. Zhang, T. Zhang, H.L. Yu, Y.L. Yin, P.J. Shi, W. Zhang

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AIoT Monitoring for Early Identification of Diseases in Grapevines: Complete Study by Mihaela Hnatiuc, Domnica Alpetri, Sorin-Robertino Sintea, Bogdan Hnatiuc, Gabriel Margarit Raicu, Mirel Paun, Ionica Dina

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Intelligent Gamification Mechanics Using Fuzzy-AHP and K-Means to Provide Matched Partner Reference by Fitri Marisa, Sharifah Sakinah Syed Ahmad, Nasreen Kausar, Sajida Kousar, Dragan Pamucar, Nasr Al Din Ide

“…Intelligent system algorithms are to develop models of gamification mechanics, primarily to support player decisions in determining more effective game steps. …”
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Opportunities of Artificial Intelligence for Authentication and Assurance of Halal Products by Wayan Mahmudy, Diva Kurnianingtyas

“…AI is a technology that enables computers to understand, learn, and perform tasks that would typically require human intelligence and reasoning to act and make decisions. With the help of high-speed computers, AI algorithms learn patterns in available data and perform assigned tasks with high accuracy and efficiency. …”
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Leveraging prior mean models for faster Bayesian optimization of particle accelerators by Tobias Boltz, Jose L. Martinez, Connie Xu, Kathryn R. L. Baker, Zihan Zhu, Jenny Morgan, Ryan Roussel, Daniel Ratner, Brahim Mustapha, Auralee L. Edelen

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