Designing a Draft for a Metaheuristic Curriculum Evaluation Model (MCEM) Based on the Examination of Various Metaheuristic Artificial Intelligence Optimization Applications by Volkan Duran, Gülay Ekici

“…This paper explores the integration of metaheuristic artificial intelligence (AI) optimization algorithms into the process of curriculum evaluation, proposing a novel approach that could enhance educational outcomes. …”
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Artificial Intelligence overview for optimizing production scheduling in a picture framing company by Krupnik-Worek Jadwiga, Skoczypiec Sebastian, Habel Jacek

“…In warehouse planning, AI optimizes inventory placement, automates processes, and enables predictive maintenance. In production, it improves scheduling, predicts machine failures, and personalizes products. …”
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Multipath Branch Model-Aided Differential Evolution Algorithm Based on Regional Error by Yang Liu, Yi-Xuan Zhang, Zhong-Chao Lin, Yu-Jia Zou

“…In surrogate model-aided algorithms, the prediction accuracy of the surrogate model plays a key point in determining the optimization results. …”
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Machine learning approach for optimizing usability of healthcare websites by Amandeep Kaur, Jaswinder Singh, Satinder Kaur

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Data-Driven Optimization for Low-Carbon Prefabricated Components Production Based on Ant Colony Algorithms by Chun-Ling Ho, Chien-Chih Wang, Shenjun Qi, Zichen Zhang

“…Utilizing ant colony algorithms, the model aims to minimize costs while adhering to low-carbon principles and fostering the sustainable development of prefabricated buildings. …”
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The Application and Research of the GA-BP Neural Network Algorithm in the MBR Membrane Fouling by Chunqing Li, Zixiang Yang, Hongying Yan, Tao Wang

“…So this paper used genetic algorithm to optimize the initial weights and the threshold of BP neural network and established the membrane fouling prediction model based on GA-BP network. …”
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The ZTF Source Classification Project. III. A Catalog of Variable Sources by Brian F. Healy, Michael W. Coughlin, Ashish A. Mahabal, Theophile Jegou du Laz, Andrew Drake, Matthew J. Graham, Lynne A. Hillenbrand, Jan van Roestel, Paula Szkody, LeighAnna Zielske, Mohammed Guiga, Muhammad Yusuf Hassan, Jill L. Hughes, Guy Nir, Saagar Parikh, Sungmin Park, Palak Purohit, Umaa Rebbapragada, Draco Reed, Daniel Warshofsky, Avery Wold, Joshua S. Bloom, Frank J. Masci, Reed Riddle, Roger Smith

“…We find that several classifiers achieve high precision and recall scores, suggesting the reliability of their predictions for 209,991,147 light curves across 77 ZTF fields. …”
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Implementation of Machine Learning in Flat Die Extrusion of Polymers by Nickolas D. Polychronopoulos, Ioannis Sarris, John Vlachopoulos

“…The ML models were trained to predict thickness variations, pressure drops, and the lowest wall shear rate (targets). …”
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Development and Optimization of the Internet of Things Network for Product Quality Monitoring by U. А. Vishniakou, Hu Zhifeng

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Parameter Estimation for Traffic Noise Models Using a Harmony Search Algorithm by Deok-Soon An, Young-Chan Suh, Sungho Mun, Byung-Sik Ohm

“…Accordingly, this paper introduces a parameter estimation procedure for ASJ-based noise prediction models, utilizing a harmony search (HS) algorithm. …”
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Construction of prognostic scoring model for ovarian cancer based on deep learning algorithm by Xiaolin Zhong, Hongyang Xiao, Weihong Lu, Jiayuan Chen, Fan Chao, Ruiqin Tu

“…The aim of this study was to develop a prognostic prediction model for ovarian cancer based on pathological images. 158 In-house and 105 TCGA-OV pathological slides were processed with Macenko’s algorithm for stain normalization and patch extraction (256 × 256 pixels). …”
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Parametric Optimization Approach to Evaluate Dynamic Shading Within Double-Skin Insulated Glazed Units for Multi-Criteria Daylighting Performance in Tropics by Ali Ahmed Bahdad, Nooriati Taib, Fahad Saud Allahaim, Ali Mohammed Ajlan

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Effective Facial Expression Recognition System Using Artificial Intelligence Technique by Imad S. Yousif, Tarik A. Rashid, Ahmed S. Shamsaldin, Sabat A. Abdulhameed, Abdulhady Abas Abdullah

“…This paper presents an improved performance of the Facial Expression Recognition (FER) systems via augmentation in Artificial Neural Networks and Genetic Algorithms, two renowned artificial intelligence techniques possessing disparate strengths. …”
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Construction of Graduate Behavior Dynamic Model Based on Dynamic Decision Tree Algorithm by Fen Yang

“…The dynamic decision tree algorithm of college employment proposed in this paper has good predictability and provides a certain theoretical reference for college graduates’ entrepreneurship.…”
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Variable convergence train noise active control algorithm based on feedforward reference by LI Tao, HE Yuyao, WANG Ning, LI Zhuang, SHEN Zhaoyuan, XIAO Gang

“…Compared with the fixed-convergence FxLMS, variable-convergence NLMS, and SVSLMS control algorithms, it has the advantage of noise reduction up to about 3.6 dB.…”
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ESTIMATION OF HEALTHY AND LIVER DISEASED INDIVIDUALS BY A LINEAR REGRESSION CLASSIFICATION ALGORITHM by Handan Tanyıldızı Kökkülünk

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Spatiotemporal correlation–based adaptive sampling algorithm for clustered wireless sensor networks by Wenyu Cai, Meiyan Zhang

“…Simulation results demonstrate the performance benefits of proposed algorithm.…”
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EFFICIENT ALGORITHM FOR NUMERICAL INTEGRATION OF MOTION EQUATIONS OF LARGE PARTICLES in Microwave Devices by A. O. Rak

“…The algorithm is presented in three forms: explicit, prediction-correction and a modified, designed to simulate the motion of large relativistic particle in an electromagnetic field. …”
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Storm‐Time Characteristics of Ionospheric Model (MSAP) Based on Multi‐Algorithm Fusion by Zhou Chen, Kang Wang, Haimeng Li, Wenti Liao, Rongxin Tang, Jing‐song Wang, Xiaohua Deng

“…We use the Multi‐Step Auxiliary Prediction (MSAP) model, a deep learning algorithm, to forecast TEC during geomagnetic storms. …”
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Hybrid Crow Search Algorithm–LSTM System for Enhanced Stock Price Forecasting by Chang-Long Jiang, Yi-Kuang Tsai, Zhen-En Shao, Shih-Hsiung Lee, Cheng-Che Hsueh, Ko-Wei Huang

“…This system allows investors to effectively avoid risks and enhance profits by predicting the closing price the following day. This method utilizes a stacking ensemble of long short-term memory (LSTM) networks, with the crow search algorithm (CSA) optimizing the weights assigned to the predictions from multiple LSTM models. …”
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