Research on the Design of Public Space in Urban Renewal Based on Multicriteria Cluster Decision-Making by Hongxu Bian, Huiren Su

“…Simultaneously, a multicriteria decision-making algorithm is proposed that combines theoretical concepts from the fields of computational intelligence and multicriteria decision-making, adopts a normalization fundamental model to standardize the attribution function, selects valid data information function values to combine into an aggregation function, and then establishes a multicriteria approach to deal with heterogeneous information based on the aggregation function. …”
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Generalized Heptagonal Membership Function for Fully Fuzzy Linear Fractional Programming Problems by Israa Hadi, Iden H. Al Kanani

“…Several approaches, including linear programming, nonlinear programming, genetic algorithms, and computational intelligence algorithms, have been suggested to handle fully fuzzy fractional linear programming (FFFL) problems. …”
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An improved sunflower optimization algorithm for cluster selection with secured data transmission using cryptographic techniques in WSNS-IoT by Yuvaraja M., Sureshkumar S., Joseph James S., Ishwarya Niranjana M.

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Design for manufacture and assembly (DfMA) for modular buildings: an analytical framework by Vikrom Laovisutthichai, Wilson Lu

“…Future research is recommended to refine the framework and enhance DfMA by integrating these patterns with expert knowledge and computational intelligence.…”
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Review of Swarm Intelligence for Solving Symmetric Traveling Salesman Problem by Awaz Ahmad Shaban, Jayson A. Dela Fuente, Merdin Shamal Salih, Resen Ismail Ali

“… Swarm Intelligence algorithms are computational intelligence algorithms inspired from the collective behavior of real swarms such as ant colony, fish school, bee colony, bat swarm, and other swarms in the nature. …”
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Deep Learning for an Innovative Photo Energy Model to Estimate the Energy Distribution in Smart Apartments by Komala C R, S. Vimal, G. Ravindra, P. Hariramakrishnan, Shaik Razia, S. Geerthik, K. Raja, V. Mohanavel, Nedumaran Arappali

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Speed Proportional Integrative Derivative Controller: Optimization Functions in Metaheuristic Algorithms by Luis Fernando de Mingo López, Francisco Serradilla García, José Eugenio Naranjo Hernández, Nuria Gómez Blas

“…The aim of this paper is to present a novel objective function to carry out optimizations of the gains of a PID controller, using several computational intelligence techniques to perform the optimizations. …”
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Positive Macroscopic Approximation for Fast Attribute Reduction by Zheng-Cai Lu, Zheng Qin, Qiao Jing, Lai-Xiang Shan

“…Attribute reduction is one of the challenging problems facing the effective application of computational intelligence technology for artificial intelligence. …”
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Prediction and diagnosis of cardiovascular disease using cloud and machine learning design by K. Babu, A. Gokula Chandar, S. Kannadhasan

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Automatic MRI Image Classification Using Attention and Residual CNNs With Enhanced Image Denoising Filters by Suganya Athisayamani, A. Robert Singh, Faten Khalid Karim, Samih M. Mostafa

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A four‐stage yield optimization technique for analog integrated circuits using optimal computing budget allocation and evolutionary algorithms by Abbas Yaseri, Mohammad Hossein Maghami, Mehdi Radmehr

“…In this paper, a four‐stage yield optimisation approach is presented, which employs computational intelligence to accelerate yield estimation without losing accuracy. …”
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COVID-19 World Vaccine Adverse Reactions Based on Machine Learning Clustering Algorithm by Lozan M. Abdulrahman, Adnan Mohsin Abdulazeez, Dathar A. Hasan

“…Clustering algorithms have been used in computational intelligence and digital analysis, which is one of the areas that has taken this into account. …”
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An Artificial Intelligent Virtual Reality Interactive Model for Distance Education by Wenjing Yin

“…In the present work, based on the most modern technologies of computational intelligence, virtual and augmented reality, wireless communications, and space-sensitive positioning applications, an Artificial Intelligent Virtual Reality (AI-VR) interactive model for distance education is presented. …”
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Novel Dynamic Partial Reconfiguration Implementation of K-Means Clustering on FPGAs: Comparative Results with GPPs and GPUs by Hanaa M. Hussain, Khaled Benkrid, Ali Ebrahim, Ahmet T. Erdogan, Huseyin Seker

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Design of Morlet Wavelet Neural Networks for Solving the Nonlinear Van der Pol–Mathieu–Duffing Oscillator Model by Ali Hasan Ali, Muhammad Amir, Jamshaid Ul Rahman, Ali Raza, Ghassan Ezzulddin Arif

“…This study develops a computational intelligence approach with a Morlet wavelet neural network (MWNN) to solve the nonlinear Van der Pol–Mathieu–Duffing oscillator (Vd-PM-DO), including parameter excitation and dusty plasma studies. …”
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Exploring Community Resilience: The Joint Roles of Environmental Knowledge and Risk Perception in Pro-Environmental Behavior by Yu Zhang, Zihao Dong, Yanying Mao, Xiaosen Huo, Liu Wu

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Semantic-Injected Bidirectional Multiscale Flow Estimation Network for Infrared and Visible Image Registration by Chunna Tian, Liuwei Xu, Xiangyang Li, Heng Zhou, Xiqun Song

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Machine learning assisted prediction with data driven robust optimization: Machining process modeling of hard part turning of DC53 for tooling applications supporting semiconductor... by Mehdi Tlija, Muhammad Sana, Anamta Khan, Sana Hassan, Muhammad Umar Farooq

“…The process variability is thoroughly analyzed using statistical and physical analyses and computational intelligence, which will guide machinists in better decision-making.…”
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Comprehensive guide for epigenetics and transcriptomics data quality control by Arianna Comendul, Frederique Ruf-Zamojski, Colby T. Ford, Pankaj Agarwal, Elena Zaslavsky, German Nudelman, Manoj Hariharan, Aliza Rubenstein, Hanna Pincas, Venugopalan D. Nair, Adam M. Michaleas, Philip D. Fremont-Smith, Darrell O. Ricke, Stuart C. Sealfon, Christopher W. Woods, Kajal T. Claypool, Rafael Jaimes, III

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Depression Detection and Diagnosis Based on Electroencephalogram (EEG) Analysis: A Systematic Review by Kholoud Elnaggar, Mostafa M. El-Gayar, Mohammed Elmogy

“…Finally, the review emphasizes improving the reliability and predictability of computational intelligence-based models to advance depression diagnosis. …”
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