MORIX: Machine learning-aided framework for lethality detection and MORtality inference with eXplainable artificial intelligence in MAFLD subjects by Domenico Lofù, Paolo Sorino, Tommaso Colafiglio, Caterina Bonfiglio, Rossella Donghia, Gianluigi Giannelli, Angela Lombardi, Tommaso Di Noia, Eugenio Di Sciascio, Fedelucio Narducci

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IoT-based home control system using NodeMCU and Firebase by Paul Oluwatobiloba Ayeni, Olayiwola Charles Adesoba

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Applying the Analog Configurability Test Approach in a Wireless Sensor Network Application by Agustín Laprovitta, Gabriela Peretti, Eduardo Romero

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Exploring Many-Core Design Templates for FPGAs and ASICs by Ilia Lebedev, Christopher Fletcher, Shaoyi Cheng, James Martin, Austin Doupnik, Daniel Burke, Mingjie Lin, John Wawrzynek

“…We present a highly productive approach to hardware design based on a many-core microarchitectural template used to implement compute-bound applications expressed in a high-level data-parallel language such as OpenCL. …”
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Modeling, Analysis, and Implementation of Series-Series Compensated Inductive Coupled Power Transfer (ICPT) System for an Electric Vehicle by Moustapha Elwalaty, Mohamed Jemli, Hechmi Ben Azza

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A Lightweight Convolutional Neural Network for Classification of Brain Tumors Using Magnetic Resonance Imaging by Mahir Kaya, Alper Özatılgan

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Optimizing Cooperative Cognitive Radio Networks with Opportunistic Access by Ammar Zafar, Mohamed-Slim Alouini, Yunfei Chen, Redha M. Radaydeh

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Some New Upper Bounds for the Y-Index of Graphs by Durbar Maji, Ganesh Ghorai, Faria Ahmed Shami

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Optimum Intervention in Transportation Networks Using Multimodal System under Fuzzy Stochastic Environment by Gurupada Maity, Vincent F. Yu, Sankar Kumar Roy

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A Multi-Dimensional Evaluation Model for Epidemic Prevention Policies by Zhoujingming Gao, Zhiyi Tan, Bing-Kun Bao

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A New Approach for Solving Fully Fuzzy Linear Systems by Amit Kumar, Neetu, Abhinav Bansal

“…The primary objective of this paper is thus to introduce the concept and a computational method for solving FFLS with no non negative constraint on the parameters. …”
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Multiobjective Evaluation of Coevolution among Innovation Populations Based on Lotka–Volterra Equilibrium by Sheng-Yuan Wang, Wan-Ming Chen, Rong Wang, Xiao-Lan Wu

“…The method proposed in this paper has excellent performance in computing, parameter sensitivity analysis, and model stability analysis.…”
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Machine-Learning-Powered Information Systems: A Systematic Literature Review for Developing Multi-Objective Healthcare Management by Maryam Bagheri, Mohsen Bagheritabar, Sohila Alizadeh, Mohammad (Sam) Salemizadeh Parizi, Parisa Matoufinia, Yang Luo

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Minimum Risk Facility Location-Allocation Problem with Type-2 Fuzzy Variables by Xuejie Bai, Ying Liu

“…This leads to the formulation of the facility location-allocation (FLA) problem as a fuzzy minimum risk programming, in which the uncertain parameters are assumed to be characterized by type-2 fuzzy variables with known type-2 possibility distributions. …”
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Restricted Isometry Property of Principal Component Pursuit with Reduced Linear Measurements by Qingshan You, Qun Wan, Haiwen Xu

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Research on the wealth management fees of defined contribution pensions during the pre-retirement stage by Zongqi Sun, Peng Yang, Ying Wang, Jing Lu

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The Use of Virtual Twins in the Robotic Yoghurt Mixing Process by Wojciech KACZMAREK, Szymon BORYS, Jarosław PANASIUK, Michał SIWEK

“…This paper presents the results of computer simulations related to the selection and optimisation of parameters for a robotic yoghurt mixing process. …”
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SYMBOLIC ANALYSIS OF CLASSICAL NEURAL NETWORKS FOR DEEP LEARNING by Vladimir Milićević, Igor Franc, Maja Lutovac Banduka, Nemanja Zdravković, Nikola Dimitrijević

“…Deep learning is usually based on matrix computing with a large number of hidden parameters that are not visible outside the computing module. …”
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Transforming traffic accident investigations: a virtual-real-fusion framework for intelligent 3D traffic accident reconstruction by Yanzhan Chen, Qian Zhang, Fan Yu

“…While visual rendering by 3D-GS struggles under adverse conditions like nighttime or rain, a clustering parameter stochastic optimization model and mixed-integer programming Bayesian optimization (MIPBO) algorithm are proposed to enhance the segmentation of large-scale 3D point clouds. …”
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Cheating Detection in Online Exams Using Deep Learning and Machine Learning by Bahaddin Erdem, Murat Karabatak

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