Mental Workload Detection and Assessment Through Statistical Features Extraction and Optimization Using GEL-RF Method for EEG Signals Using N-Back Dataset by Waleed Manzoor, Noman Naseer, Imran Fareed Nizami, Syed Hammad Nazeer, Husam A. Neamah

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Depression Detection and Diagnosis Based on Electroencephalogram (EEG) Analysis: A Systematic Review by Kholoud Elnaggar, Mostafa M. El-Gayar, Mohammed Elmogy

Subjects: “…mild depression disorder (MDD) detection…”
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Two Methods for Detecting PCM Residues in Vegetables Based on Paper-Based Sensors by Jiazheng Sun, Shiling Li, Xijun Shao, Mingxuan Fang, Heng Zhang, Zhiheng Zhu, Xia Sun

“…This study developed a sensitive and rapid immunoassay method utilizing a gold- and fluorescence-labeled monoclonal antibody (mAb) for detecting PCM residues in vegetable samples. …”
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Metastases to Regional Lymph Nodes in Breast Cancer: Current Views of Detection Methods by I. E. Kondrashkin, V. E. Fedorov, V. Y. Barsukov, Y. I. Orlova, L. F. Zhandarova

“…The application of superparamagnetic nanoparticles exerts negligible adverse effects on the human body and is characterized by straightforward administration. However, this method remains understudied, with its implementation being limited. …”
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A Study of Real-time Detection Methods for Solar Radio Burst Identification by YongLin Yu, ChengLong Qiao, Shuo Xu, QinZheng Li, YanRui Su, HongQiang Song, FaBao Yan

“…Considering the combined metrics of success rate, false detection rate, and real-time performance, the Sum Flux Continuous-3 σ method is deemed the optimal method among the five. …”
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Research on emulsion concentration detection technology based on interpretable machine learning methods by Jiaxu Kang, Jianwei Li, Meng Wang, Xinwei Guo, Dinghao Liu, Chao Qu, Chengbin Guo

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An In-Depth Comparative Study of Quantum-Classical Encoding Methods for Network Intrusion Detection by Adam Kadi, Aymene Selamnia, Zakaria Abou El Houda, Hajar Moudoud, Bouziane Brik, Lyes Khoukhi

“…Our obtained results show notable differences in classification accuracy, underscoring the importance of encoding choice in optimizing QML-based IDS. This study aims to advance the application of quantum methodologies in network security by identifying effective encoding strategies for intrusion detection.…”
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Comparative analysis of spectroradiometric and chemical methods for nutrient detection in black gram leaves by M. Balamurugan, K. Kalaiarasi, Jayalakshmi Shanmugam, Ratchagaraja Dhairiyasamy

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Performance Evaluation of Neighbors-Based Learning Methods for Network Intrusion Detection System by Ngoc Thien Nguyen

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Influence of homogenization methods on lichen species detection from environmental DNA metabarcoding by Ayumi Sakata, Toshifumi Minamoto, Tetsuya Sado, Ryo O. Gotoh, Masaki Miya

“…Metabarcoding analyses revealed that the method without homogenization detected the fewest species, while nearly identical and higher numbers of species were detected in samples subjected to bead-beating and frozen bead-beating homogenization. …”
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Comprehensive Review of Hybrid Feature Selection Methods for Microarray-Based Cancer Detection by Azka Khoirunnisa, Didit Adytia, Mustafa Mat Deris, Adiwijaya

“…Even with such usefulness, these methods are bound to restrictive elements individually that could compromise the precision of cancer detection systems. …”
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YOLO-RDM: Innovative Detection Methods for Eggplants and Stems in Complex Natural Environment by Qin Liu, Zhibin Zhou, Lu Xiong, Meilian Lu, Jingwen Ouyang

“…Accurate identification of eggplants and their stems in complex environments is crucial for the research on intelligent harvesting equipment for eggplants. Current object detection methods have limited and traditional approaches to eggplant research. …”
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An effective method for anomaly detection in industrial Internet of Things using XGBoost and LSTM by Zhen Chen, ZhenWan Li, Jia Huang, ShengZheng Liu, HaiXia Long

“…In this paper, we propose an optimal deep learning model for anomaly detection in IIoT. …”
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Method of Detecting Microorganisms on the Surface of Mandarin Fish Based on Hyperspectral and Information Fusion by Tao Yuan, Yixiao Ma, Zuyu Guo, Yijian Wang, Liqin Kong, Yaoze Feng, Haopeng Liu, Liang Meng

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MS3D: A Multi-Scale Feature Fusion 3D Object Detection Method for Autonomous Driving Applications by Ying Li, Wupeng Zhuang, Guangsong Yang

“…This study introduces MS3D (Multi-Scale Feature Fusion 3D Object Detection Method), a novel approach to 3D object detection that leverages the architecture of a 2D Convolutional Neural Network (CNN) as its core framework. …”
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An automatic pruning method for SAR target detection based on multitask reinforcement learning by Huiyao Wan, Jie Chen, Pazlat Nurmamat, Hongcheng Zeng, Wei Yang, Tao Xu, Bocai Wu, Jie Chen, Zhixiang Huang, Paulo S.R. Diniz

“…Experimental results based on SSDD and HRSID show that the SARRLP method can achieve automatic optimal pruning detection models. …”
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Insulator Surface Defect Detection Method Based on Graph Feature Diffusion Distillation by Shucai Li, Na Zhang, Gang Yang, Yannong Hou, Xingzhong Zhang

“…Aiming at the difficulties of scarcity of defect samples on the surface of power insulators, irregular morphology and insufficient pixel-level localization accuracy, this paper proposes a defect detection method based on graph feature diffusion distillation named GFDD. …”
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Mobility difference index: a quantitative method for detecting human mobility difference by Zhaohui Liu, Rui Li, Jing Cai, Qiushi Hu, Huayi Wu

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Development and validation of an analytical method for detecting chlorantraniliprole residues in fresh tea leaves by Tengfei Liu, Minghui Dong, Fengjie Zhou, Daifeng Yang, Xueming Zhang

“…An efficient method using multiwalled carbon nanotubes (MWCNTs) as dispersive solid-phase extraction sorbent was established for determining chlorantraniliprole residues in fresh tea leaves, which are known to be a troublesome matrix containing abundant pigments, via gas chromatography with an electron capture detector. …”
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Experimental study on solution possibilities of multiextremal optimization problems through heuristic methods by Rudolf A. Neydorf, Ivan V. Chernogorov, Orkhan Takhir Yarakhmedov, Victor V. Polyakh

“…Therefore, three best known and developed search engine optimization techniques are studied: particle swarm method, evolutionary genetic approach, and ant colony algorithm. …”
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