Research on TOC Log Evaluation Method Based on PCA-BP Neural Network by SHANG Yazhou, XU Duonian, ZHANG Zhaohui, LIU Jianyu, ZHAO Wenwen

“…The method is based on the weighted average of sensitive logging curves and TOC test results as the original data set. …”
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Estimating the Relative Risks of Spatial Clusters Using a Predictor–Corrector Method by Majid Bani-Yaghoub, Kamel Rekab, Julia Pluta, Said Tabharit

“…Spatial, temporal, and space–time scan statistics can be used for geographical surveillance, identifying temporal and spatial patterns, and detecting outliers. While statistical cluster analysis is a valuable tool for identifying patterns, optimizing resource allocation, and supporting decision-making, accurately predicting future spatial clusters remains a significant challenge. …”
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Personnel localization method for low-visibility environments based on improved YOLOv3 by LU Xiaoya, LI Haifang

“…To address this issue, personnel localization method for low-visibility environments based on improved YOLOv3 was. …”
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Optimal surface defect detector design based on deep learning for 3D geometry by Sangmin Suh

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Optimizing Satellite Imagery Datasets for Enhanced Land/Water Segmentation by Marco Scarpetta, Luisa De Palma, Attilio Di Nisio, Maurizio Spadavecchia, Paolo Affuso, Nicola Giaquinto

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Swift and portable detection of soybean mosaic virus SC7 through RNA extraction and loop-mediated isothermal amplification using lateral flow device by Shui-Xian Guo, Qing Zhang, Nan-Nan Bai, Pei-Yao Yue, Jing-Ping Niu, Cong-Cong Yin, Ai-Qin Yue, Wei-Jun Du, Jin-Zhong Zhao

“…Moreover, the limit of detection (LOD) of this method was as low as 10−5 ng (2.4 copies). …”
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Optimal features assisted multi-attention fusion for robust fire recognition in adverse conditions by Inam Ullah, Nada Alzaben, Yousef Ibrahim Daradkeh, Mi Young Lee

“…Comprehensive experimental evaluation on FD and BoWFire benchmark datasets shows AEFRN’s superiority over SOTA methods, achieving 99.11% accuracy on the FD dataset, and 97.98% accuracy on the BoWFire dataset. …”
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A study of high-resolution remote sensing image landslide detection with optimized anchor boxes and edge enhancement by Kun Wang, Ling Han, Juan Liao

“…For the problems of landslide detection in remote sensing images, deep learning and playback method is adopted. …”
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Design of Anomaly Based Intrusion Detection System Using Support Vector Machine and Grasshopper Optimization Algorithm in IoT by Sepehr Sharifi, Soulmaz Gheisari

“…In this study, after collecting and preparing data, the improved support vector machine with grasshopper optimization algorithm is used as a proposed method to detect anomaly-based intrusion in the Internet of Things. …”
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A study of qualitative correlations between crucial bio-markers and the optimal drug regimen of Type I lepra reaction: A deterministic approach by Nayak Dinesh, Sangeetha Anamalamudi Vilvanathan, Vamsi Dasu Krishna Kiran

“…We use the Newton’s gradient method for the optimal control studies.…”
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Multi-modal denoised data-driven milling chatter detection using an optimized hybrid neural network architecture by Haining Gao, Haoyu Wang, Hongdan Shen, Shule Xing, Yong Yang, Yinlin Wang, Wenfu Liu, Lei Yu, Mazhar Ali, Imran Ali Khan

“…To address the low accuracy in chatter detection caused by the limitations of both one-dimensional temporal and two-dimensional image modal information, this study proposes a multi-modal denoised data-driven milling chatter detection method using an optimized hybrid neural network architecture. …”
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Evolutionary Artificial Intelligence Algorithm for Optimizing Step Phase Detection Based on Foot-Mounted Triaxial Accelerometer Data by P. A. Khmarskiy

“…Experiments involving walking along a closed square path confirmed the high accuracy and robustness of the proposed method: the match between the optimized and reference trajectories demonstrates the practical applicability of the approach for precise gait reconstruction under different conditions. …”
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Optimizing oropharyngeal swabbing techniques: the relationship between force applied and SARS-CoV-2 detection sensitivity by Melcher, Peter, Pietsch, Corinna, Bergs, Sandra, Youssef, Yasmin, Rahden, Paul, Hepp, Pierre, Henkelmann, Ralf

“…Conclusion: These findings indicate that while applying greater force during sample collection increases the number of collected cells, it does not improve the sensitivity of SARS-CoV-2 detection and can even lead to poorer results. Further research should focus on optimizing swab design to improve sample quality and the number of cells obtained.…”
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SDKU-Net: A Novel Architecture with Dynamic Kernels and Optimizer Switching for Enhanced Shadow Detection in Remote Sensing by Gilberto Alvarado-Robles, Isac Andres Espinosa-Vizcaino, Carlos Gustavo Manriquez-Padilla, Juan Jose Saucedo-Dorantes

“…To address these issues, this study proposes the Supervised Dynamic Kernel U-Net (SDKU-Net), a novel architecture designed to enhance shadow detection in complex remote sensing scenarios. SDKU-Net integrates dynamic kernel adjustment, a combined loss function incorporating Focal and Tversky Loss, and optimizer switching to effectively tackle class imbalance and improve segmentation quality. …”
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An Efficient Mutual Authentication and Fractional Lyrebird Optimization With Deep Learning–Based SIP-Based DRDoS Attack Detection by V. Sreenivasulu, C. V. Ravikumar

“…Moreover, the deep stack autoencoder (DSA) model is used to perform intrusion detection in the attack validation phase. The detection performance of DSA is increased by training using the fractional lyrebird optimization algorithm (FLOA); FLOA provides a more effective, reliable, and scalable optimization strategy for training DSAs than traditional algorithms. …”
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Decoding Depression from Different Brain Regions Using Hybrid Machine Learning Methods by Qi Sang, Chen Chen, Zeguo Shao

“…Compared with traditional single methods, the hybrid approach significantly improved detection accuracy by leveraging the strengths of different algorithms. …”
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An effectiveness of deep learning with fox optimizer-based feature selection model for securing cyberattack detection in IoT environments by Mimouna Abdullah Alkhonaini

“…Finally, the dung beetle optimization (DBO)-based hyperparameter selection method is performed to improve the classification outcomes of the TCN model. …”
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Optimizing Multiparametric MRI Protocols for Prostate Cancer Detection: A Comprehensive Assessment Aligned with PI‐RADS Guidelines by Mohammad Hossein Jamshidi, Ali Fatemi, Aida Karami, Sepehr Ghanavati, Durjoy D. Dhruba, Mohammad H. Negarestanian

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Efficient Vehicle Detection and Optimization in Multi-Graph Mode Considering Multi-Section Tracking Based on Geographic Similarity by Yue Chen, Jian Lu

“…Based on this, we propose an efficient method for vehicle detection in multi-graph mode and optimization method considering multi-section tracking based on geographic similarity. …”
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Hybrid Harris hawks-optimized random forest model for detecting multi-element geochemical anomalies related to mineralization by Hamid Sabbaghi, Nader Fathianpour

“…In this study, Harris hawks optimization (HHO) algorithm was employed to optimize known hyperparameters of the random forest (RF) method for detecting multi-element geochemical anomalies related to mineralization occurrences in the Feyzabad district of the Razavi Khorasan province, NE Iran. …”
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