Methods for Detection, Extraction, Purification, and Characterization of Exopolysaccharides of Lactic Acid Bacteria—A Systematic Review by Manoj Kumar Yadav, Ji Hoon Song, Robie Vasquez, Jae Seung Lee, In Ho Kim, Dae-Kyung Kang

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An Accurate Optimized Contour Segmentation Model for Green Spherical Fruits by Ting Zhang, Ying Xu, Kai Cao, Xiude Chen, Qiaolian Liu, Weikuan Jia

“…Accurate fruit detection in complex orchard environments remains challenging due to variable lighting conditions and weather factors. …”
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Mitigating the Impact of Satellite Vibrations on the Acquisition of Satellite Laser Links Through Optimized Scan Path and Parameters by Muhammad Khalid, Wu Ji, Deng Li, Li Kun

“…Maximum likelihood estimation is employed to estimate key parameters from satellite vibrations to optimize scan parameters, such as the overlap factor and beam divergence. …”
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Recent Advancements in Lateral Flow Assays for Food Mycotoxin Detection: A Review of Nanoparticle-Based Methods and Innovations by Gayathree Thenuwara, Perveen Akhtar, Bilal Javed, Baljit Singh, Hugh J. Byrne, Furong Tian

“…Mycotoxins are responsible for a multitude of diseases in both humans and animals, resulting in significant medical and economic burdens worldwide. Conventional detection methods, such as enzyme-linked immunosorbent assay (ELISA), high-performance liquid chromatography (HPLC), and liquid chromatography-tandem mass spectrometry (LC-MS/MS), are highly effective, but they are generally confined to laboratory settings. …”
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A Nondestructive Detection Method for the Muti-Quality Attributes of Oats Using Near-Infrared Spectroscopy by Linglei Li, Long Li, Guoyuan Gou, Lang Jia, Yonghu Zhang, Xiaogang Shen, Ruge Cao, Lili Wang

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IMPLEMENTATION OF GABELLA METHOD AND RANDOM FOREST FOR GROUND CLUTTER DETECTION IN PADANG WEATHER RADAR DATA by Wildan Nurahman, Abdullah Ali, Riser Fahdiran

“…This research aims to implement the Gabella and random forest methods to detect ground clutter in Padang weather radar data and determine the optimal method between the two. …”
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Study on Detection Method of Sulfamethazine Residues in Duck Blood Based on Surface-Enhanced Raman Spectroscopy by Junshi Huang, Runhua Zhou, Jinlong Lin, Qi Chen, Ping Liu, Shuanggen Huang, Jinhui Zhao

“…The sample pretreatment method and detection conditions were optimized through single-factor experiments, including the types and amounts of electrolyte aggregators, the amount of gold nanocolloids, and the adsorption time. …”
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LKD-YOLOv8: A Lightweight Knowledge Distillation-Based Method for Infrared Object Detection by Xiancheng Cao, Yueli Hu, Haikun Zhang

“…Nonetheless, the limited computational power of edge devices presents a considerable challenge in achieving an optimal balance between accuracy and computational efficiency in infrared object detection. …”
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Cloud Detection in Remote Sensing Images Based on a Novel Adaptive Feature Aggregation Method by Wanting Zhou, Yan Mo, Qiaofeng Ou, Shaowei Bai

“…Experimental results using the HRC_WHU, CHLandsat8, and 95-Cloud datasets demonstrate that the proposed algorithm surpasses existing optimal methods, achieving finer segmentation of cloud boundaries and more precise localization of subtle thin clouds.…”
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Securing IoT Communications via Anomaly Traffic Detection: Synergy of Genetic Algorithm and Ensemble Method by Behnam Seyedi, Octavian Postolache

“…These challenges include denial-of-service (DoS) attacks, anomalous network behaviors, and data manipulation, which threaten the security and reliability of IoT ecosystems. New methods based on machine learning have been reported in the literature, addressing topics such as intrusion detection and prevention. …”
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A novel similarity-constrained feature selection method for epilepsy detection via EEG signals by Chunlei Shi, Jun Gao, Jian Yu, Lingzhi Zhao, Faxian Jia

“…This approach incorporates cross-validation and constructs locally optimal feature sets to minimize feature dimensionality, enhance model adaptability across different datasets, and enhance stability, thereby increasing the generalization capability of the detection framework. …”
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Defect R-CNN: A Novel High-Precision Method for CT Image Defect Detection by Zirou Jiang, Jintao Fu, Tianchen Zeng, Renjie Liu, Peng Cong, Jichen Miao, Yuewen Sun

“…The inference speed reaches 76.2 frames per second (FPS), representing an optimal balance between accuracy and efficiency. This study demonstrates that Defect R-CNN offers a robust and reliable approach for industrial scenarios that require high-precision and real-time defect detection.…”
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Hybrid quantum enhanced federated learning for cyber attack detection by G. Subramanian, M. Chinnadurai

“…The centralized approach is developed by integrating spatio-temporal attention network and also introduces a quantum inspired federated averaging optimization procedure for cyber-attack detection. The presented model utilizes a hierarchical model aggregation procedure which dynamically groups nodes into regions based on the network condition and data similarity. …”
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SOI: shape optimization framework for hand-drawn line features in Wemap by Ben Ma, Haowen Yan, Jingzhong Li, Yanzhe Sun, Zhuo Wang, Xiaolong Wang

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Acoustic emission detection and defect identification method for micro-leakage in natural gas pipeline valves by Lizhen ZHANG, Wen'ao WANG

“…To this end, it is imperative to develop an effective method for detecting and identifying micro-leakage defects. …”
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DART–Triple Quadrupole Mass Spectrometry Method for Multi-Target and Fast Detection of Adulterants in Saffron by Linda Monaci, Anna Luparelli, William Matteo Schirinzi, Laura Quintieri, Alexandre Verdu

“…<b>Background</b>: Different methods have been developed for detecting saffron adulteration. …”
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Optimization of Two Methods for the Rapid and Effective Extraction of Quinine from <i>Cinchona officinalis</i> by Gianella Ochoa, Leonardo Armijos, Jorge G. Figueroa, Ximena Jaramillo-Fierro, Natalí Solano-Cueva

“…This study successfully optimized two advanced extraction methods, microwave-assisted extraction (MAE) and ultrasound-assisted extraction (UAE), for the efficient and rapid recovery of quinine from <i>Cinchona officinalis</i>. …”
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Detection of Methane Emissive “Hot Spots” in Landfills: An Advanced Statistical Method for Processing UAV Data by Maurizio Guerra, Maurizio De Molfetta, Antonio Diligenti, Marco Falconi, Vincenzo Fiano, Chiara Fiori, Donatello Fosco, Lucina Luchetti, Bruno Notarnicola, Pietro Alexander Renzulli, Enrico Sacchi, Nino Tarantino, Marcello Tognacci, Antonella Vecchio

“…It notes that many CH₄ flux measurements often yield non-detectable results, suggesting a review of detection limits. …”
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K-Complex Detection Based on Synchrosqueezing Transform by Z. Ghanbari, M. H. Moradi

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Lipid droplet detection in histopathological images using reinforcement learning by Yoshitomi Harada, Haruto Nishida, Keiko Matsuura

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