Novel Fault Detection Method for Rolling Bearings Based on Improved Variational Modal Decomposition Method by Xiaoli Huang, Haifeng Xu, Junying Cui

“…To enhance the precision of rolling bearing fault detection and lessen the likelihood of safety mishaps, this paper proposes a fault detection method grounded in improved variational mode decomposition. …”
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Elevated few-shot network intrusion detection via self-attention mechanisms and iterative refinement. by Congyuan Xu, Yong Zhan, Guanghui Chen, Zhiqiang Wang, Siqing Liu, Weichen Hu

“…The network intrusion detection system (NIDS) plays a critical role in maintaining network security. …”
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A novel small-scale wind-turbine blade failure detection according to monitored-data by A. Aranizadeh, H. Shad, B. Vahidi, A. Khorsandi

“…These findings provide valuable insights into mode-specific impacts and the effectiveness of monitoring techniques for accurate fault detection.…”
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MOBS-TD: Multiobjective Band Selection With Ideal Solution Optimization Strategy for Hyperspectral Target Detection by Xudong Sun, Peng Lin, Xiaodi Shang, Huijuan Pang, Xianping Fu

“…Second, there is a lack of emphasis on target detection; thus, some BS techniques commonly used for classification are less effective for detection. …”
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WCMU-net: An Effective Method for Reducing the Impact of Speckle Noise in SAR Image Change Detection by Yu Duan, Kaimin Sun, Wangbin Li, Jinjiang Wei, Song Gao, Yingjiao Tan, Wanghui Zhou, Jun Liu, Junyi Liu

“…In this study, we introduce a focal loss function to enhance the robustness of the network, allowing for high-precision change detection of SAR images with different noise levels through parameter adjustment. …”
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Early detection of Parkinson’s disease through multiplex blood and urine biomarkers prior to clinical diagnosis by Shuo Gao, Zheng Wang, Yuanfeng Huang, Guang yang, Yijing Wang, Yan Yi, Qiao Zhou, Xingxing Jian, Guihu Zhao, Bin Li, Linyong Xu, Kun Xia, Beisha Tang, Jinchen Li

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Explainable artificial intelligence with temporal convolutional networks for adverse weather condition detection in driverless vehicles by Samah Alzanin

“…The CDAAWD-AVXAI approach improves the safety and reliability of AVs by ensuring robust weather detection. Initially, the presented CDAAWD-AVXAI approach applies image pre-processing by utilizing the median filter (MF) model to reduce noise and enhance the quality of input images. …”
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A Novel Machine Learning-based Diagnostic Algorithm for Detection of Onychomycosis through Nail Appearance by Serkan Düzayak, Muhammed Kürşad Uçar

“…The toenail images were taken by any camera initially from the individuals referred to the clinic. …”
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Leveraging deep learning for the detection of socially desirable tendencies in personnel selection: A proof-of-concept. by Tony C Lee, Matthias Ziegler

“…We propose a deep learning-based method for detecting Socially Desirable Responding (SDR)-the tendency for individuals to distort questionnaire responses to present themselves in a favorable light. …”
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Harnessing feature pruning with optimal deep learning based DDoS cyberattack detection on IoT environment by Eunmok Yang, Sooyong Jeong, Changho Seo

“…This work introduces several approaches for effectively detecting IoT-based DDoS threats. Classical machine learning (ML) techniques mostly face difficulty in managing real-world traffic characteristics effectually, making them less appropriate for detecting DDoS attacks. …”
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MISGNet: A Multilevel Intertemporal Semantic Guidance Network for Remote Sensing Images Change Detection by Binge Cui, Chenglong Liu, Haojie Li, Jianzhi Yu

“…Nevertheless, current change detection models are inadequate when it comes to model semantic interactions in pairings of temporal images. …”
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Development and validation of a recombinant human TNF-α based ELISA to detect and quantify adalimumab by Dinesh Kumar Saini, Manjunath S. Devaramani, Hemalakshmi Shanmugavel, Syeda Zuhin Tabassum, Kiran Kumar Mudnakudu-Nagaraju, Jalahalli Mariswamy Siddesha, Radhakrishna Shetty

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The Prevalence of Systemic Venous Congestion Post Kidney Transplant Detected by Point of Care Ultrasound (POCUS) by Santiago Beltramino, Agustín Manchado Bruno, Damián Fernández, Javier Walther, Gustavo Werber

“…Venous congestion was detected in 53% of patients (16/30), but only 13.3% (4/30) presented moderate to severe congestion. …”
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GNSTAM: Integrating Graph Networks With Spatial and Temporal Signature Analysis for Enhanced Android Malware Detection by Yogesh Kumar Sharma, Deepak Singh Tomar, R. K. Pateriya, Surendra Solanki

“…This methodology advances Android malware detection, showing over 5.9% improvement in detection accuracy, 4.5% reduction in false positives, and enhanced adaptability to new malware variants. …”
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Enhancing Fault Detection in AUV-Integrated Navigation Systems: Analytical Models and Deep Learning Methods by Huibao Yang, Bangshuai Li, Xiujing Gao, Bo Xiao, Hongwu Huang

“…To enhance the reliability of the AUV-integrated navigation system, fault detection technology was investigated. Initially, the causes and classifications of faults within the integrated navigation system were analyzed in detail, and these faults were categorized as either abrupt or gradual, based on variations in sensor output characteristics under fault conditions. …”
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Multidisciplinary approach as a model for detection and monitoring of psichiatric morbidity in patients treated with interferon and ribavirin by M. Cabré Serres, N. Rudi Sola, C. Pontes García, M. Vergara Gómez, I. Parra Uribe, M. Q. Gorgas Torner

“…Multidisciplinary monitoring provided duringthe treatment of hepatitis C can contribute to early detection and managementof psychiatric disorders and to improve integrated patient care.…”
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A novel myocarditis detection combining deep reinforcement learning and an improved differential evolution algorithm by Jing Yang, Touseef Sadiq, Jiale Xiong, Muhammad Awais, Uzair Aslam Bhatti, Roohallah Alizadehsani, Juan Manuel Gorriz

“…However, the detection of myocarditis using CMR images can be challenging due to low contrast, variable noise, and the presence of multiple high CMR slices per patient. …”
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Chemometrics-aided surface-enhanced Raman spectrometric detection and quantification of GH and TE hormones in blood. by Annah M Ondieki, Zephania Birech, Kenneth A Kaduki, Peter W Mwangi, Moses Juma, Boniface M Chege

“…Deviations from normal levels can signal serious health issues, such as fertility problems, cancer, or pituitary tumors. Existing detection methods for these hormones are often costly, time-consuming, and lack portability. …”
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MODAMS: design of a multimodal object-detection based augmentation model for satellite image sets by Rahul Malik, Rachit Garg, Korhan Cengiz, Nikola Ivković, Adnan Akhunzada

“…The proposed model initially applies a customized YOLO (You Only Look Once) based object detection technique on each of the hyperspectral image bands. …”
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A systematic review on sleep stage classification and sleep disorder detection using artificial intelligence by Tayab Uddin Wara, Ababil Hossain Fahad, Adri Shankar Das, Md Mehedi Hasan Shawon

“…This review aims to comprehensively analyze recent literature on different approaches and outcomes in sleep studies, specifically on ‘sleep stages classification’ and ‘sleep disorder detection’ using Artificial Intelligence. Initially, 185 articles were selected from top journals, and eventually, 81 of them were reviewed in detail, covering the period from 2016 to 2023. …”
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