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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Crocodile optimization algorithm for solving real-world optimization problems by Fu Yan, Jin Zhang, Jianqiang Yang

“…Abstract Nature-inspired bionic algorithms have become one of the most fascinating techniques in computational intelligence research, and have shown great potential in real-world challenging problems for their simplicity and flexibility. …”
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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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An Ensemble for Automatic Time Series Forecasting With K-Nearest Neighbors by Maria P. Frias, Francisco Martinez

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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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Detection and Prediction of HMS from Drinking Water by Analysing the Adsorbents from Residuals Using Deep Learning by Sanjay Kumar Suman, N. Arivazhagan, L. Bhagyalakshmi, Himanshu Shekhar, P. Shanmuga Priya, T. Helan Vidhya, Sushma S. Jagtap, Gouse Baig Mohammad, Shubhangi Digamber Chikte, S. Chandragandhi, Alazar Yeshitla

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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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Lung Nodule Detection For CT-Guided Biopsy Images Using Deep Learning by B. Prashanthi, S.P. Angelin Claret

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Energy-efficient and reliable dual closed-loop DC control system for intelligent electric vehicle charging infrastructure. by Jun Li, Wan Chen, Xiaoqiong Zhu, Baoguo Zang, Cong Zhang, Hengxiao Hu, Ming Zhang, Wenbao Lei

“…The study also discusses the challenges in the dynamic variation of midpoint source current and proposes future work to increase the system's switching frequency, improve anti-interference capabilities, and enhance the accuracy of the sampling process. Advanced computational intelligence and optimization techniques are highlighted as essential for tackling the complex challenges of modern EV charging systems. …”
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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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A novel myocarditis detection combining deep reinforcement learning and an improved differential evolution algorithm by Jing Yang, Touseef Sadiq, Jiale Xiong, Muhammad Awais, Uzair Aslam Bhatti, Roohallah Alizadehsani, Juan Manuel Gorriz

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