Evolutionary Optimization for the Classification of Small Molecules Regulating the Circadian Rhythm Period: A Reliable Assessment by Antonio Arauzo-Azofra, Jose Molina-Baena, Maria Luque-Rodriguez

“…We applied a genetic algorithm to optimize feature selection and classification performance. …”
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Intelligent intrusion detection system based on crowd search optimization for attack classification in network security by Chetan Gupta, Amit Kumar, Neelesh Kumar Jain

“…In this study, the various performance matrix parameters have been evaluated in terms of all classifiers along with the proposed model. …”
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Modeling the Offensive-Defensive Interaction and Resulting Outcomes in Basketball. by Leonardo Lamas, Felipe Santana, Matthew Heiner, Carlos Ugrinowitsch, Gilbert Fellingham

“…To the best of our knowledge, in team sports, this is the first study to successfully model the tactical features involved in offense-defense interactions. …”
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An underground coal mine multi-target detection algorithm by FAN Shoujun, CHEN Xilin, WEI Liangyue, WANG Qingyu, ZHANG Shiyuan, DONG Fei, LEI Shaohua

“…To address these issues, based on the single-stage target detection algorithm YOLOv8n, this study proposed an underground coal mine multi-target detection algorithm based on feature extraction by dynamic snake convolution (FEDSC)-feature fusion by bi-directional feature pyramid network and semantic and detail fusion (FFBD). …”
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THE PROBLEMS OF MODELING THE EVOLUTION OF THE DYNAMIC SYSTEM, INTERACTING WITH THE ENVIRONMENT by V. L. ZAKOVOROTNY, DINH TUNG PHAM

“…The article proposes a new method of modeling the evolutional system, which interacts with the environment. …”
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Psychological Stress Detection Using Transformer-Based Models by Derwin Suhartono, Irfan Fahmi Saputra, Andhika Rizki Pratama, Gabriel Nathaniel

“…The features used in these experiments were features from each pre-trained model. …”
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Enhancing tool condition monitoring in friction stir welding with probabilistic neural network algorithm by Balachandar Krishnamurthy, Jegadeeshwaran Rakkiyannan

“…The real-time tool condition monitoring process involves acquiring vibrational data and extracting statistical features from the raw data. A feature importance study is conducted using a decision tree algorithm, which selects only the most significant features to reduce computational complexity.ResultFeature classification is then performed using various machine learning and deep learning algorithms, including Support Vector Machines (SVM), Multi-Layer Perceptron (MLP), Cascade Correlation, GMDH Polynomial Neural Networks, and Linear Discriminant Analysis Among these classifiers, Probabilistic Neural Networks (PNN) consistently deliver the best results as 91.25% under 1,400 rpm.DiscussionBased on these findings, the Probabilistic Neural Network algorithm is identified as a robust and reliable prediction model for monitoring FSW tool conditions.…”
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COGNITIVE MODELING OF KNOWLEDGE MANAGEMENT MECHANISMS IN THE TRAINING OF SPECIALISTS by Liubava Chernova, Lyudmyla Chernova

“…Objectives of the study: to consider the concepts and mechanisms of knowledge management of organizations; to form a cognitive model of the knowledge management mechanism; to consider system indicators of cognitive model; to analyze the structural features of the cognitive model. …”
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Anomaly Detection Approach Based on Deep Neural Network and Dropout by Zaid Hussien et al.

“…Accuracy metric was used to evaluate the model performance. The proposed model accuracy achieved to 99.45%. …”
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A Heterogeneous Image Registration Model for an Apple Orchard by Dongfu Huang, Liqun Liu

“…Then, we used the Sinkhorn AutoDiff algorithm to iteratively optimize and solve the optimal transmission problem, achieving optimal matching between feature points. Finally, we carried out network pruning and compression operations to minimize parameters and computation cost while maintaining the model’s performance. …”
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Tropical cyclone track prediction harnessing deep learning algorithms: A comparative study on the Northern Indian Ocean by Sabbir Rahman, M. Fahim Faisal, Prianka Mondal, Md. Mahfuzur Rahman

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Comparative Analysis of Several Models for Churning Customer Prediction by Tan Zhaoyuan

“…More different datasets, updated models for small datasets, and more feature engineering methods should be taken into consideration.…”
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THE MATHEMATICAL MODEL OF SHIPBOARD COMPLEXES OBJECTS MAINTENANCE PROCESS by Volodymyr I. Bohomia, Volodymyr F. Lavrynenko, Denys M. Hudkov, Yaroslav V. Melnyk

“…The paper presents the technique of determining the mean repair time of shipboard equipment object at the operation organization, and features of the developing the maintenance process mathematical model of shipboard complexes objects that provides obtain the finite analytical expressions for the calculation of relevant process efficiency. …”
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Hybrid Deep Learning Model for Cataract Diagnosis Assistance by Zonghong Feng, Kai Xu, Liangchang Li, Yong Wang

“…Finally, this paper verifies the role of each part of the model through ablation experiments, especially the significant contribution of the SE_block module and the prototype network classifier in enhancing the model’s performance. …”
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A robust and interpretable ensemble machine learning model for predicting healthcare insurance fraud by Zeyu Wang, Xiaofang Chen, Yiwei Wu, Linke Jiang, Shiming Lin, Gang Qiu

“…Initially, we examined the dataset’s characteristics and employed embedded and permutation methods to test the performance and runtime of single models under different feature sets, selecting the minimal number of features that could still achieve high performance. …”
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Muskmelon Maturity Stage Classification Model Based on CNN by Huamin Zhao, Defang Xu, Olarewaju Lawal, Shujuan Zhang

“…Nevertheless, the two-way data augmentations including the combination of outdoor and indoor datasets to create a classification model revealed an excellent performance of F1 score ∼99%, and hence the model is applicable to computer-based platform for quick muskmelon stages of maturity classification.…”
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Optimization Design of Diaphragm Profile based on Kriging Model by Geng Hu, Zhigang Chen, Ding Zhang

“…To improve the fatigue performance of the diaphragm coupling，a optimization design method for the diaphragm profile parameters based on the Kriging model is proposed to maximize the high-cycle fatigue safety factor of the diaphragm design. …”
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A Cost-Effective Real-Time Human Activity Recognition System Using Supervised Learning Algorithms and Wearable Acceleration Sensors by Nguyen Thi Thu, Phung Cong Phi Khanh, Trong-Minh Hoang, Duc-Tan Tran, Nguyen Ngoc Linh, Nguyen Canh Minh

“…This study aims to enhance HAR by developing a lightweight and efficient machine learning model that balances accuracy, real-time performance, and affordability. …”
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Modelling and verification of parameterized architectures: A functional approach by Salah Merniz, Saad Harous

“…Therefore, parameterised architectures modelled by higher order functions could be easily redefined only over first‐order types. …”
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Modeling of Magnetorheological Dampers under Various Impact Loads by K. Sarp Arsava, Yeesock Kim

“…They are compared with mechanical models, the Bingham and Bouc-Wen models. Experimental studies are performed to generate sets of input and output data for training, validating, and testing the models: the deflection, acceleration, velocity, and current signals. …”
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