Optimization of loop mediated isothermal amplification assay (LAMP) for detection of chloroquine resistance in P. vivax malaria by Davinder Kaur, Upninder Kaur, Chandra Kanta Bhusal, Vibhor Tak, Rakesh Sehgal

“…So, with this background the study has been designed to optimize Loop Mediated Isothermal Amplification Assay to detect single nucleotide polymorphisms in chloroquine resistance gene of Plasmodium vivax in field settings. …”
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Smart Grid Intrusion Detection for IEC 60870-5-104 With Feature Optimization, Privacy Protection, and Honeypot-Firewall Integration by Pedamallu Sai Mrudula, Rayappa David Amar Raj, Archana Pallakonda, Yanamala Rama Muni Reddy, K. Krishna Prakasha, V. Anandkumar

“…This paper proposes a privacy-aware intrusion detection framework that reduces these risks. The proposed framework implements, through machine learning, anomaly detection methods, classification techniques and feature selection methodologies, integrating these approaches to optimize the identification of potential cyber threats, improve model accuracy, and enhance computational efficiency in SCADA systems. …”
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Detection of human activities using multi-layer convolutional neural network by Essam Abdellatef, Rasha M. Al-Makhlasawy, Wafaa A. Shalaby

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Leveraging assistive technology for visually impaired people through optimal deep transfer learning based object detection model by Mahir Mohammed Sharif Adam, Nojood O. Aljehane, Mohammed Yahya Alzahrani, Samah Al Zanin

“…Furthermore, the Faster R-CNN model is used for the object detection process. Moreover, the EATBP-ODHOA method utilizes fusion models such as ResNet and DenseNet-201 for the feature extraction process. …”
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A quick-to-implement and optimized CRISPR-Cas9 protocol to obtain insertional and small indel mutants in Chlamydomonas reinhardtii by Mariano A. De Silvio, Camila Sánchez-Retuerta, M. Águila Ruiz-Sola, Olga Baidukova, Elena Monte

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Online Estimation and Control Method of Optimal Slip Ratio for Vehicle With an Electric Power-Assisted Brake System by Lei Chen, Yuchao He, Tangtang Ma, Shengshi Zhong

“…Additionally, decision tree is employed to detect the road surface change, with the sample data elimination and compensation methods, achieving less lag in road surface adaptation for optimal slip ratio estimation. …”
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Improved Building Information Modeling Based Method for Prioritizing Clash Detection in the Building Construction Design Phase by Iman Bitaraf, Ali Salimpour, Pedram Elmi, Ali Akbar Shirzadi Javid

“…Clashes were ranked by criticality through a calculation involving the six parameters, which enhanced the efficiency of clash detection by optimizing time and cost considerations during the design phase. …”
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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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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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Lipid droplet detection in histopathological images using reinforcement learning by Yoshitomi Harada, Haruto Nishida, Keiko Matsuura

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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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Satellite-based detection of deep-convective clouds: the sensitivity of infrared methods and implications for cloud climatology by A. Z. Kotarba, I. Wojciechowska

“…Results indicate that even with optimal parameter configurations, DCC detection accuracy remains moderate and is below 75 % (Cohen's <span class="inline-formula"><i>κ</i></span> <span class="inline-formula">&lt;</span> 0.4) for all methods. …”
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K-Complex Detection Based on Synchrosqueezing Transform by Z. Ghanbari, M. H. Moradi

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Study on the detection and suppression methods of carbon laying defects in auto fiber placement (AFP) process by Yixuan Xie, Zhiqiang Liu, Yinqi Li, Yueyue Zong

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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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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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