A Reinforcement Learning-based Intelligent Learning Method for Anti-active Jamming in Frequency Agility Radar by J. Wei, L. Yu, Y. Wei, R. Xu

“…This model includes five submodules: signal processing, anti-jamming evaluation, target detection, optimization constraint design, and optimization algorithm design. …”
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A Method for Solving LiDAR Waveform Decomposition Parameters Based on a Variable Projection Algorithm by Ke Wang, Guolin Liu, Qiuxiang Tao, Luyao Wang, Yang Chen

“…During the experiments, for the same accuracy, the separable nonlinear least-squares optimization method required fewer iterations and lesser calculation time than the traditional method of not separating parameters; the maximum number of iterations was reached before the traditional method converged to the optimal estimate. …”
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Using the TOPSIS method to select the best low-toxicity organic cosolvent for rice-based toxicity tests by Xingren Pan, Yi Kang, Jun-Feng Lu, Xiao-Zhang Yu

“…Overall, this study represents the first attempt to comprehensively evaluate the toxic responses of cosolvents to rice plants using the TOPSIS method. It also offers valuable insights into a number of ecotoxicological applications like the analysis of solvent-generated extracts of environmental matrices from soils and sediments, or the detection of organic compounds induced toxicity with cosolvents.…”
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From portfolio optimization to quantum blockchain and security: a systematic review of quantum computing in finance by Abha Satyavan Naik, Esra Yeniaras, Gerhard Hellstern, Grishma Prasad, Sanjay Kumar Lalta Prasad Vishwakarma

“…The finance applications considered in this study include portfolio optimization, fraud detection, and Monte Carlo methods for derivative pricing and risk calculation. …”
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A Rapid Identification Method for Cottonseed Varieties Based on Near-Infrared Spectral and Generative Adversarial Networks by Qingxu Li, Hao Li, Renhao Liu, Xiaofeng Dong, Hongzhou Zhang, Wanhuai Zhou

“…Data augmentation using GAN-CNIRD-generated cottonseed data improved the accuracy of the three optimal models by 6%, 5%, and 6%, respectively. This study provides a crucial reference for the rapid detection of cottonseed variety information and has significant implications for the standardized management of cottonseed varieties.…”
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A Parameter Estimation-Based Anti-Deception Jamming Method for RIS-Aided Single-Station Radar by Shanshan Zhao, Jirui An, Biao Xie, Ziwei Liu

“…A unified parameter estimation model for true and false targets is established, and the convex optimization method is applied to estimate the target location and deception range. …”
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Power Quality Disturbance Classification Method Based on Unscented Kalman Filter and Kernel Extreme Learning Machine by Yanjun Jiao, Haoyu Cao, Linke Wang, Jiahui Wei, Yansong Zhu, Hucheng He

“…Considering the limitations of the traditional time–frequency domain method and the complexity of the optimization algorithm in extracting features, a novel algorithm is proposed to classify the PQDs in this paper, which is based on the unscented Kalman filter (UKF) and the kernel extreme learning machine (KELM). …”
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Continuous Flow Injection Analysis Method for the Determination of a Drug Diphenhydramine Hydrochloride by Using Phosphomolybdic Acid by Muntadhar M. Jabbar, Elham N. Mezaal

“…The limit of detection (L.O.D.) of the new method was 729.55 ng/sample, calculated by gradually diluting the lower limit of the concentration in the linear range (0.07 mmol/L). …”
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Utilizing a Transient Electromagnetic Inversion Method with Lateral Constraints in the Goaf of Xiaolong Coal Mine, Xinjiang by Yingying Zhang, Bin Xie, Xinyu Wu

“…The transient electromagnetic method (TEM) has emerged as a crucial technology for detecting goafs in coal mines due to its adaptable equipment and efficient implementation. …”
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Intelligent approach to detecting online fraudulent trading with solution for imbalanced data in fintech forensics by Saad M. Darwish, Amr Ibrahim Salama, Adel A. Elzoghabi

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Development and Validation of a High‐Performance Liquid Chromatography Method for the Determination of Epoxyaurapten From Pomelo Peel by Hui Ni, Dongfeng Guo, Xue Li, Lijun Li, Yuanfan Yang, Xiping Du, Yang Hu, Shuyu Zhang, Feng Chen, Fan He

“…In addition, the HPLC method was successfully employed to detect the content of epoxyaurapten in different pomelo varieties and their various parts. …”
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Use of Mixed Micelles in Micellar Electrokinetic Chromatography Method for Determination of Dexamethasone, Prednisolone and Triamcinolone in Pharmaceutical Formulations by Karen A. Escamilla-Lara, Israel S. Ibarra, Jorge Lopez-Tellez, Jose A. Rodriguez

“…Employing the optimal BGE, the separation of the three corticosteroids is possible in a linear range of 1.05–10.0 mg L⁻¹, with limits of detection (LOD) of 0.28–0.35 mg L⁻¹. …”
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A quality by design HPLC method for cephalosporin analysis in pharmaceuticals and water samples with environmental impact assessment by Ali Alqahtani, Taha Alqahtani, Adel Al Fatease, Enas H. Tolba

“…The predicted optimal conditions involved using a mobile phase of acetonitrile and 0.04 M phosphate buffer at pH 6 in a 7:93 (v/v) ratio, pumped at 1.3 mL/min through a Nucleosil C18 (4.6 × 250 mm, 5 μm) column with UV detection at 240 nm. …”
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Comparison of In-house Microalbumin Assay with Cobas C311 - Methodological Insights and Clinical Implications by Rukhsana Tumrani, Afsheen Nigar, Mahnoor Chaudhry, Maryum Ilyas

“…No statistically significant difference between the two methods was found with a p-value of 0.087. Conclusion: On the basis of this study, it is concluded that in-house microalbumin assay is simple, reliable and economical with a long shelf life and can be used as an initial screening test for the clinical management of patients with diabetic nephropathy and early detection helps in improvement in the management of these patients.…”
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Advances in magnetic particle imaging: evaluating magnetic microspheres and optimized acquisition parameters for high sensitivity cell tracking by Samantha N. Flood, Samantha N. Flood, Paula J. Foster, Paula J. Foster

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Enabling analytical precision in microplastic analysis: innovative solutions for precise method validation, evaluation and quality control by Jovan Badzoka, Christoph Kappacher, Jakob Lauß, Lisa Obwaller, Anna Pavun, Christian W. Huck

“…Despite the growing number of studies documenting MP presence, the development of a standardized analytical protocol, particularly focusing on precise analytical method validation, remains a challenge. This gap arises from the complex nature of sample matrices and the diverse combinations of sample pretreatment and detection methodologies employed. …”
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Effective Cultivated Land Extraction in Complex Terrain Using High-Resolution Imagery and Deep Learning Method by Zhenzhen Liu, Jianhua Guo, Chenghang Li, Lijun Wang, Dongkai Gao, Yali Bai, Fen Qin

“…We evaluated and validated the effectiveness of the proposed method from multiple perspectives and conducted a cultivated land change detection and agricultural landscape fragmentation assessment in the study area. …”
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Detecting Positive and Negative Changes From SAR Images by an Evolutionary Multi-Objective Approach by Shuang Liang, Hao Li, Yun Zhu, Maoguo Gong

“…This paper presents an unsupervised change detection approach for detecting the positive and negative changes based on a multi-objective evolutionary algorithm. …”
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Novel Gas Sensor Signal Acquisition Method: Amplifying Sensor Signals and Enabling Efficient Gas Identification by Kangwook Choi, Ryun‐Han Koo, Jinwoo Park, Donghee Kim, Jaehyeon Kim, Hunhee Shin, Gyuweon Jung, Jong‐Ho Lee

“…The sensor operation is divided into two phases: the reaction phase and the signal detection phase, and propose optimized operating methods for each. …”
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The Impact of Normalization Procedures on Surface Electromyography (sEMG) Data Integrity: A Study of Bicep and Tricep Muscle Signal Analysis by Sergio Fuentes del Toro, Josue Aranda-Ruiz

“…Specifically, while SMVC, MVC, and RVC methods exhibited generally superior performance in normalizing bicep and tricep signals, the optimal method varied depending on the task and muscle, providing consistent and reliable data for biomechanical analysis. …”
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