Deep Learning for Plastic Waste Classification System by Janusz Bobulski, Mariusz Kubanek

“…Applied Computational Intelligence and Soft Computing…”
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Couple-Group Consensus: A Class of Delayed Heterogeneous Multiagent Systems in Competitive Networks by Lianghao Ji, Yue Zhang, Yiliu Jiang

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Determination of Important Topographic Factors for Landslide Mapping Analysis Using MLP Network by Mutasem Sh. Alkhasawneh, Umi Kalthum Ngah, Lea Tien Tay, Nor Ashidi Mat Isa, Mohammad Subhi Al-batah

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A Novel Approach to Face Verification Based on Second-Order Face-Pair Representation by Qiang Hua, Chunru Dong, Feng Zhang

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On Couple-Group Consensus of Multiagent Networks with Communication and Input Time Delays by Liang-hao Ji, Xin-yue Zhao

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Survey on Complex Optimization and Simulation for the New Power Systems Paradigm by João Soares, Tiago Pinto, Fernando Lezama, Hugo Morais

“…The survey also provides a discussion on the application of computational intelligence, with a strong emphasis on evolutionary computation techniques, to solve complex problems where traditional approaches usually fail. …”
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A Multi-granularity Decomposition Mechanism of Complex Tasks Based on Density Peaks by Ziling Pang, Guoyin Wang, Jie Yang

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A model for predicting dropout of higher education students by Anaíle Mendes Rabelo, Luis Enrique Zárate

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A Variable Precision Attribute Reduction Approach in Multilabel Decision Tables by Hua Li, Deyu Li, Yanhui Zhai, Suge Wang, Jing Zhang

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On Measuring the Complexity of Networks: Kolmogorov Complexity versus Entropy by Mikołaj Morzy, Tomasz Kajdanowicz, Przemysław Kazienko

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Efficient multi-omics clustering with bipartite graph subspace learning for cancer subtype prediction by Shuwei Zhu, Hao Liu, Meiji Cui

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Similarity-Based Summarization of Music Files for Support Vector Machines by Jan Jakubik, Halina Kwaśnicka

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On the improvement of schizophrenia detection with optical coherence tomography data using deep neural networks and aggregation functions by Paweł Karczmarek, Małgorzata Plechawska-Wójcik, Adam Kiersztyn, Adam Domagała, Agnieszka Wolinska, Steven M. Silverstein, Kamil Jonak, Paweł Krukow

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Recent Advances on Bioinspired Computation by Zhihua Cui, Rajan Alex, Rajendra Akerkar, Xin-She Yang

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Experimental and Computational Approaches for the Classification and Correlation of Temperament (Mizaj) and Uterine Dystemperament (Su’-I-Mizaj Al-Rahim) in Abnormal Vaginal Discha... by Arshiya Sultana, Wajeeha Begum, Rushda Saeedi, Khaleequr Rahman, Md Belal Bin Heyat, Faijan Akhtar, Ngo Tung Son, Hadaate Ullah

“…In addition, we also applied a computational intelligence technique for enhancing scientific validity to classify the warm-cold and wet-dry temperaments. …”
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Vertex Degrees and Isomorphic Properties in Complement of an m-Polar Fuzzy Graph by Ch. Ramprasad, P. L. N. Varma, S. Satyanarayana, N. Srinivasarao

“…Computational intelligence and computer science rely on graph theory to solve combinatorial problems. …”
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Multilayer Perceptron for Robust Nonlinear Interval Regression Analysis Using Genetic Algorithms by Yi-Chung Hu

“…Several approaches involving computational intelligence are effective for resisting outliers, but the required parameters for these approaches are related to whether the collected data contain outliers or not. …”
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Machine Learning for Ischemic Heart Disease Diagnosis Aided by Evolutionary Computing by Mohammad Alsaffar, Abdullah Alshammari, Gharbi Alshammari, Saud Aljaloud, Tariq S. Almurayziq, Fadam Muteb Abdoon, Solomon Abebaw

“…In light of these findings, a hybrid diagnostic tool has been developed that combines several computational intelligence (machine learning) techniques capable of analyzing clinical histories and images of electrocardiogram signals and indicating whether or not the patient has ischemic heart disease with up to 97.01% accuracy. …”
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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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A Green AI Methodology Based on Persistent Homology for Compressing BERT by Luis Balderas, Miguel Lastra, José M. Benítez

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