Detection of Hepatocellular Carcinoma Using Optimized miRNA Combinations and Interpretable Machine Learning Models by Zhengwu Long, Lisheng Zhang

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Optimized Pt Loaded Cerium Tungstate Electrochemical Sensor for Rapid Response and Recovery NO2 Detection by Jiaxin Li, Xichao Mo, Chonghui Zhu, Minghui Yang

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Optimizing non small cell lung cancer detection with convolutional neural networks and differential augmentation by Vahiduddin Shariff, Chiranjeevi Paritala, Krishna Mohan Ankala

“…The research utilized multiple datasets, including the IQ-OTH/NCCD dataset, to evaluate the proposed model against existing state-of-the-art methods. Hyperparameter tuning was performed using Random Search to optimize parameters, further improving performance. …”
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Optimizing Feature Selection and Machine Learning Algorithms for Early Detection of Prediabetes Risk: Comparative Study by Mahmoud B Almadhoun, MA Burhanuddin

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A Lightweight Deep Learning Network with an Optimized Attention Module for Aluminum Surface Defect Detection by Yizhe Li, Yidong Xie, Hu He

“…In this study, we propose an innovative aluminum surface defect detection method based on an optimized two-stage Faster R-CNN network. …”
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Additive Manufacturing of a Frost-Detection Resistive Sensor for Optimizing Demand Defrost in Refrigeration Systems by Martim Lima de Aguiar, Pedro Dinis Gaspar, Pedro Dinho da Silva

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Chronic liver disease detection using ranking and projection-based feature optimization with deep learning by Sumaiya Noor, Salman A. AlQahtani, Salman Khan

“…This study presents a novel and efficient learning method to identify liver patients accurately. The approach integrates multiple ranking and projection techniques for features, utilizing deep learning to detect early signs of liver disease. …”
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The Detection Optimization of Low-Quality Fake Face Images: Feature Enhancement and Noise Suppression Strategies by Ge Wang, Yue Han, Fangqian Xu, Yuteng Gao, Wenjie Sang

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Brain tumor detection through image fusion using whale optimization and edge preserving filter by Bhattiprolu Nagasirisha, Venkatesh Munagala, Ramakrishna Reddy Eamani, Mocherla Venkata Srikanth, Asileti Suneel Kumar, Varre Venkata Kanaka Durga Prasad

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Quantum-enhanced beetle swarm optimized ELM for high-dimensional smart grid intrusion detection by Na Cheng, Shuqing Wang, Lihong Zhao, Yan Hu

“…Abstract This study proposes a novel smart grid intrusion detection model, combining a quantum-enhanced beetle swarm optimization algorithm with extreme learning machine (QBOA-ELM), with the aim of improving detection accuracy, efficiency, and robustness. …”
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Unraveling deep-learning detection of atmospheric Kármán vortex streets: dataset, baseline benchmarking, and optimization by Yihan Zhang, Chaoyue Wu, Qiao Su, Yuqi Zhang, Daoyi Chen

“…Different types of advanced algorithms were applied on the dataset, yielding baseline performance metrics and potential detection methods. Additionally, we proposed two optimization strategies tailored to Kármán vortex streets detection. …”
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A Hybrid PSO-GA Optimized Approach for COVID-19 Detection Using CT Scan by Abdelghany Fathy, Hatem Abdelkader, Samia Allaoua Chelloug, Mohammed Saleh Ali Muthanna, Amira Abdelatey

“…In the second step, a hybrid particle swarm optimization (PSO) and genetic algorithm (GA) optimized approach, called Hybrid PSO-GA, is developed and used to select the optimal features that can increase the accuracy of COVID-19 detection. …”
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Optimizing IoT intrusion detection with cosine similarity based dataset balancing and hybrid deep learning by Arvind Prasad, Wael Mohammad Alenazy, Naved Ahmad, Gauhar Ali, Hanaa A. Abdallah, Sadique Ahmad

“…As more devices come online, the attack surface for hackers continues to expand, making cybersecurity a pressing concern. Intrusion Detection Systems (IDS) are essential for identifying and mitigating these threats in real-time. …”
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PCA and PSO based optimized support vector machine for efficient intrusion detection in internet of things by Mutkule Prasad Raghunath, Shyam Deshmukh, Poonam Chaudhari, Sunil L. Bangare, Kishori Kasat, Mohan Awasthy, Batyrkhan Omarov, Rajesh R. Waghulde

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Optimized Yolov5s-Im for real-time apple flower detection in drone-based pollination by Shahram Hamza Manzoor, Zhao Zhang, Hongwen Li, Qu Zhang, Kuifan Chen, C. Igathinathane, Tianzhong Li, Wei Li, Muhammad Naveed Tahir, Nabil Mustafa, Mustafa Mhamed

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Reflective Distributed Denial of Service Detection: A Novel Model Utilizing Binary Particle Swarm Optimization—Simulated Annealing for Feature Selection and Gray Wolf Optimization-... by Daoqi Han, Honghui Li, Xueliang Fu

“…However, traditional intrusion detection methods encounter several issues such as low detection efficiency and prolonged detection time when dealing with massive and high-dimensional data. …”
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Enhancing crack detection in railway tracks through AI-optimized ultrasonic guided wave modes by Jianjun Liu, Huan Luo, Han Hu, Jian Li

“…Addressing the challenge of selecting the optimal detection mode for cracks in various regions of railway tracks, this paper presents a method for optimal crack detection mode selection. …”
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LHB-YOLOv8: An Optimized YOLOv8 Network for Complex Background Drop Stone Detection by Anjun Yu, Hongrui Fan, Yonghua Xiong, Longsheng Wei, Jinhua She

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A Multimodal Parallel Transformer Framework for Apple Disease Detection and Severity Classification with Lightweight Optimization by Chuhuang Zhou, Xinjin Ge, Yihe Chang, Mingfei Wang, Zhongtian Shi, Mengxue Ji, Tianxing Wu, Chunli Lv

“…By integrating multimodal data fusion and lightweight optimization techniques, the proposed method significantly enhances detection accuracy and robustness. …”
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Applying deep learning model to aerial image for landslide anomaly detection through optimizing process by Chwen-Huan Wang, Li Fang, Chiung-Yun Hu

“…Among the models, Train 2, which incorporated a 50% tree ratio and an average optimized threshold of 0.0124 (Closest method), achieved the highest AUC-ROC (∼0.98). …”
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