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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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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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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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

“…The proposed model achieved an F1-score of 0.9758 on RT-IoT2022 and 0.9275 on UNSW Bot-IoT, outperforming SMOTE-based methods in accuracy and computational efficiency. …”
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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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Optimization of Filter Considering Harmonic Resonance in the Distribution Network by XIA Xiangyang, XU Linju, LUO Shiwu

“…Results show that the method of the resonance detection principle is used to optimize the configuration of the filter obtaining a good filtering effect, avoiding the resonance occurrence and demonstrate the feasibility of the method by Matlab simulation and instance validation.…”
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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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An Improved UNet-Based Path Recognition Method in Low-Light Environments by Wei Zhong, Wanting Yang, Junhuan Zhu, Weidong Jia, Xiang Dong, Mingxiong Ou

“…The optimal attention mechanism is incorporated into the optimized network to enhance the model’s ability to detect path edges and improve detection performance. …”
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FEM and Circuit Simulation-Optimized WPT With Magnetic In-Band Communication for E-Bike Applications by Eun S. Lee

“…The transmitter (Tx) and receiver (Rx) coils for e-bike IPT applications are optimized using finite element method (FEM) and circuit simulations to ensure efficient power transfer operation under rated charging conditions. …”
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Performance Comparison of Plasmonic Sensors via Ion Reduction and KOH Methods by Ruqaya Shlaga, Alwan Alwan, Mohammed Mohammed

“…In this work, several types of plasmonic sensors were prepared by different methods (ion reduction method and wet-chemical KOH route) to detect the ultralow anti-CIPRO concentration using AgNPs/PSi SERS-active substrate with AgNPs concentration. …”
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EBTM: An Enumeration-Based Thresholding Method for Degraded Circular Dot Segmentation by Baoquan Shi, Qian He, Xianmin Chen, Wendong Zhang, Lin Yang

“…Unlike traditional methods, the novel approach does not focus on selecting the optimal threshold values, but instead aims to choose the best segments to produce the desired output. …”
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DEVELOPMENT AND VALIDATION OF A SPECTROFLUORIMETRIC METHOD FOR THE DETERMINATION OF PHENIBUT IN TABLET DRUGS by O. I. Lazovskaya, V. N. Leontiev, E. V. Litvinova

“…The developed method for the quantitative determination of phenibut in tablet drugs is based on the dansylation reaction in an alkaline medium (pH 9.18). …”
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Curvature Determination Method for Diverging Acoustic Lens of Underwater Acoustic Transducer by Minze Li, Mingzhen Xin, Fanlin Yang, Yu Luo, Jinpeng Liu, Niuniu Wu

“…The experimental results show that the acoustic lens can change the directivity of the underwater acoustic transducer without changing the acoustic unit array, and the curvature of the acoustic lens directly affects the directivity indicators after refraction, so the method proposed in this paper has important reference value for determining the optimal shape of the diverging acoustic lens.…”
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Development and Validation of HPLC-UV Method for the Determination of Favipiravir in Human Plasma by T. N. Komarov, P. K. Karnakova, O. A. Archakova, D. S. Shchelgacheva, N. S. Bagaeva, I. E. Shohin, K. Ya. Zaslavskaya, P. A. Bely

“…The aim of this study is to develop and validate a method for quantitative determination of favipiravir in human plasma by high-performance liquid chromatography with ultraviolet detection (HPLC-UV) for pharmacokinetic studies.Materials and methods. …”
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Sensitivity of an improved method for post-life laboratory diagnosis of chicken eimeriosis by V. Hodyna

“…Also, the improved method is the most optimal regarding the number of positive samples, the number of detected invasive elements in 1 g of droppings, and the coagulation ability of the flotation solution concerning undigested feed residues detected during microscopy. …”
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HPLC method with monolithic column for simultaneous determination of irbesartan and hydrochlorothiazide in tablets by Alanazi Amer M., Abdelhameed Ali S., Khalil Nasr Y., Khan Azmat A., Darwish Ibrahim A.

“…A simple, sensitive and accurate HPLC method with high throughput has been developed and validated for the simultaneous determination of irbesartan (IRB) and hydrochlorothiazide (HCT) in combined pharmaceutical dosage forms. …”
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Hybrid neural network method for damage localization in structural health monitoring by Fatahlla Moreh, Yusuf Hasan, Zarghaam Haider Rizvi, Sven Tomforde, Frank Wuttke

“…Many existing methods for crack detection rely on deep learning algorithms or traditional approaches that typically use image data. …”
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Using the optimal combined index weight ratio to improve the probability of anomaly detection in big area additive manufacturing by Monique S. McClain, Dhrubajit Chowdhury, Omar Eldaghar, Kris Villez

“…We show that approach 1 delivers optimal anomaly detection performance in select cases while approach 2 fares better in practice. …”
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