Optimal Control of Cervical Cancer Model with Vaccination and Screening by Karunia Theda Kristanti, Trisilowati Trisilowati, Agus Widodo

“…Furthermore, an optimal control problem was solved numerically using the Forward-Backward Sweep method to determine the effect of vaccination and screening on the model. …”
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Advances in the Application of Intelligent Algorithms to the Optimization and Control of Hydrodynamic Noise: Improve Energy Efficiency and System Optimization by Maosen Xu, Bokai Fan, Renyong Lin, Rong Lin, Xian Wu, Shuihua Zheng, Yunqing Gu, Jiegang Mou

“…In recent years, intelligent algorithms represented by data-driven algorithms and heuristic algorithms have gradually emerged, showing great potential for development in hydrodynamic noise optimization applications. To this end, this paper systematically reviews progress in the application of intelligent algorithms in hydrodynamic noise research, focusing on their advantages in the optimal design of noise sources, noise prediction, and control strategy optimization. …”
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Quantitative Analysis of 3-Monochloropropane-1,2-diol in Fried Oil Using Convolutional Neural Networks Optimizing with a Stepwise Hybrid Preprocessing Strategy Based on Fourier Tra... by Xi Wang, Siyi Wang, Shibing Zhang, Jiping Yin, Qi Zhao

“…The LODs (0.36 μg/g) and LOQs (1.10 μg/g) of the proposed method met the requirements for 3-MCPD detection in oil samples by the Commission Regulation issued of EU. …”
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Research on shale lamination types and logging characterization methods: A case study of the Funing Formation Member 2 in Gaoyou Sag, Subei Basin by TANG Lei, LIAO Wenting, XIA Lianjun, MA Jie, ZHANG Juan

“…Using this optimal rate, the eCOCO statistical method was applied to track and analyze sedimentation rate variations in the Funing Formation Member 2. …”
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Bayesian changepoint detection for epidemic models by Peter Johnson, Jesper Lund Pedersen

“…The methods are illustrated with an example using a real dataset from the COVID-19 pandemic, effectively detecting changepoints related to public health measures and the spread of the Omicron variant in the United Kingdom.…”
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Role of computed tomography in sarcopenia detection by E. V. Sheberova, N. K. Silanteva, T. A. Agababian, A. L. Potapov, A. A. Nevolskikh, S. A. Ivanov, A. D. Kaprin

“…The study aimed to summarize the available data on the role of computed tomography in sarcopenia detection in cancer patients. Material and Methods. …”
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Enhancing Engineering and Architectural Design Through Virtual Reality and Machine Learning Integration by Ali Shehadeh, Odey Alshboul

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A hybrid of fuzzy FMEA-AHP to determine factors affecting alternator failure causes by Reza Kiani Aslani, Hamid Reza Feili, Hassan Javanshir

“…Failure Mode and Effects Analysis (FMEA) is one of the first systematic techniques for failure analysis based on three factors including Probability (P), Severity (S) and Detection (D). Traditional FMEA method considers equal weights for all three factors, however, in read-world cases; one may wish to consider various weights. …”
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Artificial intelligence-driven ensemble deep learning models for smart monitoring of indoor activities in IoT environment for people with disabilities by Munya A. Arasi, Hussah Nasser AlEisa, Amani A. Alneil, Radwa Marzouk

“…Conventional machine learning and deep learning approaches effectively detect human activity. This study develops and designs a metaheuristic optimization-driven ensemble model for smart monitoring of indoor activities for disabled persons (MOEM-SMIADP) model. …”
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Design of the DETECT project: automated cardiac arrest detection and activation of the emergency medical chain integrated into a wristband by Roos Edgar, Kambiz Ebrahimkheil, Niels T.B. Scholte, Catharina E. Jansen, Rypko J. Beukema, Marc A. Brouwer, Eelko Ronner, Aysun Cetinyurek-Yavuz, Marit van Barreveld, Marcel G.W. Dijkgraaf, Peter C. Stas, Eric Boersma, Niels van Royen, Judith L. Bonnes

“…To optimize cardiac arrest detection, DETECT-2 is set out to develop an algorithm for detection of sudden falls mimicking cardiac arrest-related collapses using accelerometry data (n = 20). …”
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Fish Detection Using Deep Learning by Suxia Cui, Yu Zhou, Yonghui Wang, Lujun Zhai

“…In this paper, a convolutional neural network (CNN) based fish detection method was proposed. The training data set was collected from the Gulf of Mexico by a digital camera. …”
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Multi-Robot Cooperative Simultaneous Localization and Mapping Algorithm Based on Sub-Graph Partitioning by Wan Xu, Yanliang Chen, Shijie Liu, Ao Nie, Rupeng Chen

“…Specifically, in front-end loop detection, the proposed algorithm achieves an F1-score improvement of approximately 8.5–51.5% compared to other methods. …”
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Detection and Localization of False Data Injection Attacks in Smart Grids Applying an Interpretable Fuzzy Genetic Machine Learning/Data Mining Approach by Marian B. Gorzałczany, Filip Rudziński

“…In order to address that problem, we employ our knowledge discovery machine learning/data mining (ML/DM) approach—implemented as a collection of fuzzy rule-based classifiers (FR-BCs)—characterized by a genetically optimized accuracy–interpretability trade-off. Our approach uses our generalization (showing better performance) of the well-known SPEA2 method to carry out the genetic learning and multiobjective optimization process. …”
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Development of a Quadruplex RT-qPCR for the Detection of Feline Kobuvirus, Feline Astrovirus, Feline Bufavirus, and Feline Rotavirus by Kaichuang Shi, Mengyi He, Feng Long, Junxian He, Yanwen Yin, Shuping Feng, Zongqiang Li

“…The results indicated that the developed assay could provide a new detection method for these four viruses associated with feline gastroenteritis.…”
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Optimization of Aflatoxin B1 Aptasensing by Marzieh Jafari, Mohsen Rezaei, Heibatullah Kalantari, Maryam Tabarzad, Bahram Daraei

“…Combination of aptamers with DNAzymes attracted intense attention for development of DNA-based biosensors for detection of mycotoxins. In the present study a combination of aflatoxin B1 specific aptamer and HRP- (horseradish peroxidase-) mimicking DNAzyme was optimized for detecting aflatoxin B1. …”
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Optimization of ultrasound-assisted extraction method of Syzygium cumini leaves based on extraction yield, content of bioactive compound, and inhibition of dipeptidyl peptidase IV... by Endra Pujiastuti, Agung Endro Nugroho, Khoirun Nisa, Triana Hertiani

“…Syzygium cumini leaves show potential to be developed as herbal medicine products against diabetes mellitus due to their high polyphenol contents. S. cumini was optimized using response surface methodology and Box–Behnken design with solvent solid ratio, solvent concentration, time and temperature, extraction yield, total flavonoid content (TFC), total phenolic content (TPC), and dipeptidyl peptidase IV (DPP-IV) enzyme inhibitory activity to obtain an effective and optimal extraction method. …”
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Optimized Breast Cancer Classification Using PCA-LASSO Feature Selection and Ensemble Learning Strategies With Optuna Optimization by Prabhat Kumar Sahu, Taiyaba Fatma

“…Breast cancer is one of the most prevalent and life-threatening diseases among women worldwide, making early and accurate detection crucial for effective treatment. This study presents a novel and optimized breast cancer classification system using machine learning models enhanced through advanced hyperparameter tuning techniques and statistical validation methods. …”
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Topology Knapsack Problem for Geometry Optimization by Hsiao-Hui Li, Po-Chun Chang, Yuan-Hsun Liao

“…It also shows superior performance compared to popular community detection algorithms. The use of t-SNE for dimensionality reduction and K-means for clustering provides an effective solution for multi-attribute optimization. …”
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Multi-Sided Delayed Impulsive Feedback Method for Controlling Chaos and Reducing Loss Ratio in Switched Arrival System with Switching Time Greater than 0 by Ming Chen, Xueshuai Zhu

“…The possible intervals for the optimal control coefficient under the same initial conditions are detected. …”
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Opposition-Based White Shark Optimizer for Optimizing Modified EfficientNetV2 in Road Crack Classification by Mohammed Al-Shalabi, Mohammed A. Mahdi, Malik Braik, Mohammed Azmi Al-Betar, Shahanawaj Ahamad, Sawsan A. Saad

“…This study proposes an automated crack detection framework that integrates three key components: (1) a new variant of a pre-trained CNN architecture, referred to as Modified EfficientNetV2 (MEfficientNetV2) for pavement crack classification; (2) a combination of opposition-based learning with White Shark Optimizer (WSO), known as Opposition WSO (OWSO), to improve the balance between exploration and exploitation; and (3) Principal Component Analysis (PCA) for efficient dimensionality reduction and feature selection. …”
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