A new approach of anomaly detection in shopping center surveillance videos for theft prevention based on RLCNN model by Muhammad Sajid, Ali Haider Khan, Kaleem Razzaq Malik, Javed Ali Khan, Ayed Alwadain

“…The amount of video data produced daily by today’s surveillance systems is enormous, making analysis difficult for computer vision specialists. …”
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Machine Learning Techniques for Identifying Textual Propaganda on Social Media: Development of a Detecting Digital Manipulation System by Belkacem Mostefai, Tarek Boutefara, Abid Chahinez, Marwa Aberkane

“…The hypothesis suggests that it is possible to distinguish propaganda from non-propaganda texts on social media by analyzing specific linguistic features. Employing advanced linguistic analysis and machine learning methods, this detection system achieves approximately 70% accuracy, indicating its promising potential for effectively identifying propaganda. …”
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Comparison of machine learning and validation methods for high-dimensional accelerometer data to detect foot lesions in dairy cattle. by Muhammad Usman Riaz, Luke O'Grady, Conor G McAloon, Finnian Logan, Isobel Claire Gormley

“…In recent years, automated detection systems have emerged as a potential solution for identifying early signs of lameness. …”
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A high-precision edge detection technique for magnetic anomaly signals based on a self-attention mechanism by Ju Haihua, Wang Li, Yang Jie, Liu Gaochuan, Xia Zhong, Jiao Jian, Zhang Le, Dai Bo

“…It holds significant importance in geological structure analysis and mineral exploration. Deep learning methods, which can automatically capture complex magnetic anomaly features, have been widely applied in boundary detection. …”
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Estimation of soil properties using Hyperspectral imaging and Machine learning by Eirini Chlouveraki, Nikolaos Katsenios, Aspasia Efthimiadou, Erato Lazarou, Kalliopi Kounani, Eleni Papakonstantinou, Dimitrios Vlachakis, Aikaterini Kasimati, Ioannis Zafeiriou, Borja Espejo-Garcia, Spyros Fountas

“…The proposed methodology first applies feature selection — F-test, Mutual Information, and permutation — and dimensionality reduction methods — Principal Component Analysis (PCA) and Uniform Manifold Approximation and Projection (UMAP) — to extract informative spectral features. …”
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CryptoDNA: A Machine Learning Paradigm for DDoS Detection in Healthcare IoT, Inspired by Cryptojacking prevention Models by Zag ElSayed, Nelly Elsayed, Ahmed Abdelgawad

“…The proposed approach relies on behavioral analytics, including atypical resource usage and network activity patterns. Key features derived from cryptojacking-inspired methodologies include entropy-based analysis of traffic, time-series monitoring of device performance, and dynamic anomaly detection. …”
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Waterbody Detection and Reservoir Water Level Prediction Using Bayesian Mixture Models with Sentinel-1 GRD Data by DongHyeon Yoon, Ha-Eun Yu, Euiho Hwang, Ki-mook Kang, Gibeom Nam, Jin-Gyeom Kim

“…Despite limitations in detecting narrow tributaries or other small-scale features due to SAR resolution, the model performs well overall in monitoring broad water bodies. …”
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Early detection of left fallopian tube carcinosarcoma by transvaginal sonography: a case report and review of diagnostic challenges by Junjie Chang, Wenjun Zhang, Hua Wang, Xin Song, Dan Yu

“…Immunohistochemical analysis revealed a biphasic tumor with strong P53 positivity and a high Ki-67 index (80%), indicative of its aggressive nature. …”
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An Improved Machine Learning-Based Model for Detecting and Classifying PQDs with High Noise Immunity in Renewable-Integrated Microgrids by Irfan Ali Channa, Dazi Li, Mohsin Ali Koondhar, Fida Hussain Dahri, Ibrahim Mahariq

“…Hence, this paper presents a new approach to detect and classify the PQDs using discrete wavelet transform, multiresolution analysis, and optimized-kernel support vector machine. …”
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Application and evaluation of a rapid detection method based on two-dimensional PCR technology for hypervirulent Klebsiella pneumoniae by Wenwen Zhu, Yiting Wang, Xin Jiang, Yan Zhao

“…The analysis revealed a sensitivity of 100.0% and a specificity of 96.2% when compared to conventional PCR.ConclusionA 2D-PCR-based multiplex method for virulence genes of hvKp was successfully developed, demonstrating its outstanding features of high specificity, high sensitivity, and high throughput capability. …”
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Vision Transformer-Based Unhealthy Tree Crown Detection in Mixed Northeastern US Forests and Evaluation of Annotation Uncertainty by Durga Joshi, Chandi Witharana

“…Forest health monitoring at scale requires high-spatial-resolution remote sensing images coupled with deep learning image analysis methods. However, high-quality large-scale datasets are costly to acquire. …”
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Assessing Milk Authenticity Using Protein and Peptide Biomarkers: A Decade of Progress in Species Differentiation and Fraud Detection by Achilleas Karamoutsios, Pelagia Lekka, Chrysoula Chrysa Voidarou, Marilena Dasenaki, Nikolaos S. Thomaidis, Ioannis Skoufos, Athina Tzora

“…Multivariate techniques, such as principal component analysis (PCA) and partial least squares discriminant analysis (PLS-DA), are frequently employed to extract discriminatory features and model adulteration scenarios. …”
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A BERT-Based Multimodal Framework for Enhanced Fake News Detection Using Text and Image Data Fusion by Mohammed Al-alshaqi, Danda B. Rawat, Chunmei Liu

“…Traditional approaches to the detection of fake news focus mainly on text and image features, thereby missing valuable information contained within images and texts. …”
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DETECTION AND CLASSIFICATION OF VEGETATION AREAS FROM RED AND NEAR INFRARED BANDS OF LANDSAT-8 OPTICAL SATELLITE IMAGE by Anusha NALLAPAREDDY

“…The NDVI and SAVI are utilized to extract vegetation features automatically by using python language. Finally by establishing a threshold, vegetation cover of the research area is detected and then classified. …”
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Anterior cruciate ligament tear detection based on Res2Net modified by improved Lévy flight distribution by Peiji Yang, Yanan Liu, Fei Liu, Mingxia Han, Yadegar Abdi

“…This study introduces a new diagnostic approach by combining of the deep learning architecture Res2Net with an improved version of the Lévy flight distribution (ILFD) to improve the detection of ACL tears in knee MRI images. The Res2Net model is known for its ability to extract important features and classify them effectively. …”
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Enhancing knee osteoarthritis detection with AI, image denoising, and optimized classification methods and the importance of physical therapy methods by Burak Bugday, Harun Bingol, Muhammed Yildirim, Bilal Alatas

“…In this way, it is aimed to bring together different features of the same image. Then, feature selection was made using the neighborhood component analysis (NCA) method for the developed system to produce more successful results, and the optimized feature map was classified into six different classifiers. …”
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Advanced intrusion detection technique (AIDT) for secure communication among devices in internet of medical things (IoMT) by M. Ramya, Pradeep Sudhakaran, Yuvaraj Sivagnanam, C. Santhana Krishnan

“…Furthermore, we incorporated a comprehensive analysis of the implementation of different classification algorithms in IoMT network intrusion detection, further supporting the claim that the proposed framework performs marginally better than alternative models.…”
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A method for detection of functional deficiencies due to unilateral vestibular impairment using the TUG test and IMU sensors by Marek Kamiński, Rafał Kotas, Wojciech Tylman, Magdalena Janc, Ewa Zamysłowska-Szmytke, Magdalena Józefowicz-Korczyńska

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Enhancing public cloud resilience: an analytical review of detection and mitigation strategies against economic denial of sustainability attacks by Zubaidi Maytham Sahar Saeed, Anazida Binti Zainal, Fuad A. Ghaleb, Bander Ali Saleh Al-rimy

“…EDoS attacks exploit the pay-per-use and auto-scaling features of CC platforms to incur financial damage by triggering unnecessary resource consumption. …”
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A hybrid deep learning model EfficientNet with GRU for breast cancer detection from histopathology images by M. Pradeepa, B. Sharmila, M. Nirmala

“…Abstract Breast cancer remains a significant global health challenge among women, with histopathological image analysis playing a critical role in early detection. …”
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