An Effective Ensemble Approach for Preventing and Detecting Phishing Attacks in Textual Form by Zaher Salah, Hamza Abu Owida, Esraa Abu Elsoud, Esraa Alhenawi, Suhaila Abuowaida, Nawaf Alshdaifat

“…This paper presents a novel approach to detecting phishing emails. The proposed methodology combines ensemble learning techniques with various variables, such as word frequency, the presence of specific keywords or phrases, and email length, to improve detection accuracy. …”
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A Novel Machine Learning Technique for Fault Detection of Pressure Sensor by Xiufang Zhou, Aidong Xu, Bingjun Yan, Mingxu Gang, Maowei Jiang, Ruiqi Li, Yue Sun, Zixuan Tang

“…Pressure transmitters are widely used in the process industry for pressure measurement. The sensing line, a core component of the pressure sensor in the pressure transmitter, significantly impacts the accuracy of the pressure transmitter’s output. …”
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Salivary biomarkers: A promising avenue for advancing oral cancer detection by Yuvashree Chandrasekaran, L. Kayal, N. Aravindha Babu, Mukesh Kumar Dharmalingam Jothinathan, Archana Behera

“…This article will address recent progress in detecting saliva biomarkers including human DNA, mRNA and proteins that can be of diagnostic value in cancer. …”
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Iterative PolInSAR Target Decomposition for Scattering Characterization and Building Detection by Di Zhuang, Lamei Zhang, Bin Zou

“…SOM uses PolInSAR target decomposition results to refine the segmentation across the three areas, feeding back refined outcomes to the target decomposition module iteratively. This process will ultimately enhance features and improve building detection accuracy. …”
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Numerical and Experimental Investigation of Gas Turbine Rotor for Early Fault Detection by Muhammad Akhtar, Waqar Muhammad Ashraf, Nasir Hayat, Ghulam Moeen Uddin, Fahid Riaz

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Mobile detection of cataracts with an optimised lightweight deep Edge Intelligent technique by Dipta Neogi, Mahirul Alam Chowdhury, Mst. Moriom Akter, Md. Ishan Arefin Hossain

“…Its quick and straightforward testing process has become an essential component in our efforts to prevent blindness. …”
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Laser Induced Fluorescence for In Situ Detection of Typical Heavy Metals in Groundwater by Kang MAO, Jiaqi XUE, Zhuo CHEN, Hua ZHANG

“…Future research will focus on identifying the controlling factors of heavy metals in groundwater and developing anti-interference techniques, synthesizing novel fluorescent probes for LIF sensor, integrating sensing components into LIF equipment, and standardizing the LIF detection process. The BRIEF REPORT is available for this paper at http://www.ykcs.ac.cn/en/article/doi/10.15898/j.ykcs.202402230018.…”
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Hyperbolic geometry enhanced feature filtering network for industrial anomaly detection by Yanjun Feng, Jun Liu, Yonggang Gai

“…Additionally, challenges such as addressing pre-trained feature redundancy and bias in the pre-training process persist. This paper presents HADNet, a hyperbolic space-based anomaly detection method. …”
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Steel surface defect detection method based on improved YOLOv9 by Cong Chen, Hoileong Lee, Ming Chen

“…This often results in high false detection and missed detection rates during the inspection process. …”
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UNet-Based End-to-End Anomaly Detection With Computational Hyperspectral Imaging by Weiming Shi, Junren Wen, Yipeng Chen, Yu Shao, Haiqi Gao, Xuehui Wang, Chenying Yang

“…The working mode not only simplifies the detection process but also makes it applicable in reality. …”
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Deep Learning Model-Based Detection of Anemia from Conjunctiva Images by Najmus Sehar, Nirmala Krishnamoorthi, C. Vinoth Kumar

“…This study offers a comprehensive analysis of non-invasive anemia detection using conjunctiva images processed through various machine learning and deep learning models. …”
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Temporal Decay Loss for Adaptive Log Anomaly Detection in Cloud Environments by Lelisa Adeba Jilcha, Deuk-Hun Kim, Jin Kwak

“…Log anomaly detection in cloud computing environments is essential for maintaining system reliability and security. …”
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Three-Dimensional Outdoor Object Detection in Quadrupedal Robots for Surveillance Navigations by Muhammad Hassan Tanveer, Zainab Fatima, Hira Mariam, Tanazzah Rehman, Razvan Cristian Voicu

“…This paper introduces a pioneering method for 3D object detection, termed viewpoint feature histograms, which leverages the established paradigm of 2D detection in projection. …”
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Visual Deepfake Detection: Review of Techniques, Tools, Limitations, and Future Prospects by Naveed Ur Rehman Ahmed, Afzal Badshah, Hanan Adeel, Ayesha Tajammul, Ali Daud, Tariq Alsahfi

“…We conducted a systematic literature review of deepfake detection to offer an updated overview of existing research work that initially describes the widely accessible deepfake generation tools, classifications, and detection process. …”
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Benchmark Dataset for AI-Driven Palm Tree Detection and Analysis in the UAE by M. Al-Saad, N. Aburaed, M. Q. Alkhatib, M. S. Zitouni, S. Almansoori, H. Al-Ahmad

“…Automated detection and counting of palm trees is a significant area of research for numerous countries, including the UAE. …”
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Deep learning-based feature selection for detection of autism spectrum disorder by Ibrahim Nafisah, Nermine Mahmoud, Ahmed A. Ewees, Mohamed G. Khattap, Abdelghani Dahou, Safar M. Alghamdi, Ibrahim A. Fares, Mohammed Azmi Al-Betar, Mohammed Azmi Al-Betar, Mohamed Abd Elaziz, Mohamed Abd Elaziz

“…The performance metrics include an average accuracy of 0.735, sensitivity of 0.765, and specificity of 0.752, surpassing the results of existing state-of-the-art methods.DiscussionThe findings demonstrate the effectiveness of the hybrid deep learning approach for ASD detection. The enhanced feature selection process, coupled with the hybrid model, addresses limitations in current neuroimaging analyses and offers a promising direction for more accurate and clinically applicable ASD detection models.…”
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An Efficient Printing Defect Detection Based on YOLOv5-DCN-LSK by Jie Liu, Zelong Cai, Kuanfang He, Chengqiang Huang, Xianxin Lin, Zhenyong Liu, Zhicong Li, Minsheng Chen

“…During the production process of inkjet printing labels, printing defects can occur, affecting the readability of product information. …”
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Automated Aneurysm Boundary Detection and Volume Estimation Using Deep Learning by Alireza Bagheri Rajeoni, Breanna Pederson, Susan M. Lessner, Homayoun Valafar

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Dual Transformers With Latent Amplification for Multivariate Time Series Anomaly Detection by Yeji Choi, Kwanghoon Sohn, Ig-Jae Kim

“…Anomaly detection in multivariate time series is crucial for applications such as industrial monitoring, cybersecurity, and healthcare. …”
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Lightweight defect detection algorithm of tunnel lining based on knowledge distillation by Anfu Zhu, Jiaxiao Xie, Bin Wang, Heng Guo, Zilong Guo, Jie Wang, Lei Xu, SiXin Zhu, Zhanping Yang

“…Secondly, in the distillation process, the feature and output dimension results are fused to improve the detection accuracy, and the mask feature relationship is learned in the space and channel dimension to improve the real-time detection. …”
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