AOAFS: A Malware Detection System Using an Improved Arithmetic Optimization Algorithm by Rafat Alshorman, Bilal H. Abed-alguni, Yaqeen E. Alqudah

“…This work introduces a new malware detection system called the improved AOA method for FS (AOAFS) that enhances the performance of Machine Learning techniques for malware detection. …”
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An Optimized Genetic Algorithm-Based Wavelet Image Fusion Technique for PCB Detection by Tongpo Zhang, Qingze Yin, Shibo Li, Tiantian Guo, Ziyu Fan

“…The proposed method aims to enhance both the accuracy and efficiency of image fusion, which is crucial for defect detection in PCB inspection. …”
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Detection and Optimization of Photovoltaic Arrays’ Tilt Angles Using Remote Sensing Data by Niko Lukač, Sebastijan Seme, Klemen Sredenšek, Gorazd Štumberger, Domen Mongus, Borut Žalik, Marko Bizjak

“…This paper presents a novel method for optimizing the tilt angles of existing PV arrays by integrating Very High Resolution (VHR) satellite imagery and airborne Light Detection and Ranging (LiDAR) data. …”
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Optimization Design of Anti-aliasing Filter for the Stability and Instability Detection Device of EMU by LI Lun, WU Wenhui, LI Na, LI Zixian, TAN Fumin, LIU Yuran

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Sparse Adaptive Optimization Based on Low Rank Decomposition for Image Defect Detection by Daihong Jiang, Zhixiang Chen, Sanyou Zhang, Yunfei Li, Lu Zhao

“…Extensive experiments on tasks such as defect detection and background reconstruction demonstrate that the proposed method outperforms existing approaches, achieving superior accuracy and robustness across various real-world scenarios.…”
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A Comprehensive Approach to Rustc Optimization Vulnerability Detection in Industrial Control Systems by Kaifeng Xie, Jinjing Wan, Lifeng Chen, Yi Wang

“…This paper proposes a test case generation method based on large language models (LLMs), which utilizes prompt templates and optimization algorithms to generate a code relevant to specific optimization passes, especially for real-time control logic and safety-critical modules unique to the industrial control field. …”
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Optimized SPR-PCF sensor for sucrose detection inspired by vertical pupil geometry by Mohammad Reza Khodatars Dashtmian, Vahid Fallahi, Mahmood Seifouri, Saeed Olyaee

“…To ensure this, we have applied the Nelder-Mead algorithm for precise optimization of the structural parameters. For the analysis of this structure, the finite element method based on the mode solver has been used. …”
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Optimizing RetinaNet anchors using differential evolution for improved object detection by Asaad Mohammed, Hosny M. Ibrahim, Nagwa M. Omar

“…Through extensive experiments on datasets spanning diverse domains such as the Karlsruhe Institute of Technology and Toyota Technological Institute (KITTI), the Unconstrained Face Detection Dataset (UFDD), the TomatoPlantFactoryDataset, and the widely used Common Objects in Context (COCO) 2017 benchmark, we demonstrate that our proposed method significantly outperforms both the original RetinaNet and anchor-free methods by a considerable margin.…”
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Optimizing Pre-Trained Code Embeddings With Triplet Loss for Code Smell Detection by Ali Nizam, Ertugrul Islamoglu, Omer Kerem Adali, Musa Aydin

“…This study aims to create a contrastive learning-based system to explore the potential of a generic method for enhancing code embedding for code classification tasks. …”
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Complementary Local–Global Optimization for Few-Shot Object Detection in Remote Sensing by Yutong Zhang, Xin Lyu, Xin Li, Siqi Zhou, Yiwei Fang, Chenlong Ding, Shengkai Gao, Jiale Chen

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An optimized stacking-based TinyML model for attack detection in IoT networks. by Anshika Sharma, Shalli Rani, Mohammad Shabaz

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Data-driven network intrusion detection using optimized machine learning algorithms by Dauda Adeite Adenusi, Oladosu Oyebisi Oladimeji, Theopilus Adekunle Oyekola, Korede Solomon Olagunju

“…The proposed approach demonstrates perfect Area Under the Curve (AUC) scores of 1.00 for tree-based methods, indicating robust detection capabilities across varying decision thresholds. …”
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An optimized multi-task contrastive learning framework for HIFU lesion detection and segmentation by Matineh Zavar, Hamid Reza Ghaffari, Hamid Tabatabaee

“…Specifically, OMCLF achieves an accuracy of 93.3% in lesion detection and a Dice score of 92.5% in segmentation, surpassing state-of-the-art methods such as SimCLR and MoCo. …”
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Optimization of pathogen detection in abscess specimens: a 6-year retrospective study by Qiangsheng Feng, Xiaoqing Ha, Wenyun Guo, Yuan Xing, Juling zhang, Chenchen Zhang, Qi Zhang, Yuejuan Song

“…Results The implementation of optimized diagnostic protocols significantly enhanced pathogen detection efficacy (P < 0.001, χ = 9.663), achieving an overall positivity rate of 81.9% (1,062/1,297)—a 20.1 percentage point improvement over conventional methods. …”
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Enhancing Fabric Defect Detection With Attention Mechanisms and Optimized YOLOv8 Framework by Yonghua Mao, Guowen Wang, Yingcang Ma, Xiaolin Gui

“…This study presents an enhanced YOLOv8-based framework that integrates novel attention mechanisms and advanced architectural modules to improve detection accuracy and robustness. The framework incorporates the SimAM attention mechanism within the SPPF module and adopts an optimized Dilation-wise Residual (DWR) structure in the backbone. …”
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Optimized machine learning model for Alzheimer and epilepsy detection from EEG signals by P. Jasphin Jeni Sharmila, T. S. Shiny Angel

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An Ensemble Approach for Detection of Malicious URLs Using SOM and Tabu Search Optimization by Simar Preet Singh, Abhilash Maroju, Mohammad Kamrul Hasan, Karan Tejpal

“…The dynamic nature of these threats makes traditional detection techniques unable to keep up. Enhanced methods that can handle large-scale datasets and identify new attack patterns are needed for the real-time identification of malicious URLs. …”
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Optimizing Mental Stress Detection via Heart Rate Variability Feature Selection by Mohsen Behradfar, Shotabdi Roy, Joseph Nuamah

“…The increasing prevalence of stress-related disorders necessitates accurate and efficient detection methods for timely intervention. This study explored the potential of heart rate variability as a biomarker for detecting mental stress using a publicly available dataset. …”
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Hybrid optimization driven fake news detection using reinforced transformer models by Ganesh Karthik M, Khadri Syed Faizz Ahmad, Sai Geetha Pamidimukkala, Asha Prashant Sathe, Sirisha G.N.V.G, Sitha Ram M, Koteswararao Ch

“…This research highlights the importance of integrating transformers and hybrid optimization to develop generalized, scalable, and accurate fake news detection systems.…”
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Convex optimization–based multi-user detection in underwater acoustic sensor networks by Jianping Wang, Shujing Zhang, Wei Chen, Dechuan Kong, Zhou Yu

“…The traditional optimal detection algorithms (e.g. maximum likelihood) have very high computational complexity, and the performances of suboptimal detection methods (i.e. zero forcing, minimum mean square error, etc.) are poor. …”
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