Ultrafast Laser Beam Profile Characterization in the Front-End of the ELI-NP Laser System Using Image Features and Machine Learning by Tayyab Imran

“…We use centroid tracking to monitor pointing fluctuations, statistical intensity analysis to detect energy instabilities, and Sobel-based edge detection to evaluate beam sharpness and extract structural features from the beam image. …”
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Pharmacological Properties of Synthetic Cannabinoids, Specifics of Their Detection and Forensic Examination by O. M. Serdega

“…It identifies key issues that must be addressed to resolve challenges in the forensic examination of objects containing these psychotropic substances and outlines the specific features of their detection and seizure. Recommendations are provided for forensic experts in the field of narcotic drugs and psychotropic substances regarding the selection of chemical analysis methods for solutions or herbal mixtures that may contain synthetic cannabinoids. …”
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Historical Manuscripts Analysis: A Deep Learning System for Writer Identification Using Intelligent Feature Selection with Vision Transformers by Merouane Boudraa, Akram Bennour, Mouaaz Nahas, Rashiq Rafiq Marie, Mohammed Al-Sarem

“…The initial preprocessing phase involves thorough document refinement using bilateral filtering for denoising and Otsu thresholding for binarization, ensuring document clarity and consistency for subsequent feature detection. We utilize the FAST detector for feature detection, extracting keypoints representing handwriting styles, followed by clustering with the k-means algorithm to obtain meaningful patches of uniform size. …”
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DDoSNet: Detection and prediction of DDoS attacks from realistic multidimensional dataset in IoT network environment by Goda Srinivasa Rao, P. Santosh Kumar Patra, V.A. Narayana, Avala Raji Reddy, G.N.V. Vibhav Reddy, D. Eshwar

“…After feature selection, an echo-state network (ESN) classifier is employed for detection and prediction. …”
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Multimodal and Temporal Graph Fusion Framework for Advanced Phishing Website Detection by S. Kavya, D. Sumathi

“…Traditional detection approaches are usually based on single-modal features or static analysis, failing to capture the complex, multi-faceted nature of phishing websites and their dynamic behaviors. …”
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A Review on the Synthesis of Carbon Dots and Their Applications in Environmental Analysis by Yuegang Wang, Qian Wang, Weina Liu, Xin Xin, Bin Zhao

“…Then, we discuss their physical, chemical, and optical features and focus on their diverse applications in environmental analysis, including metal ion sensing, contaminants detection, photocatalysts, and other aspect. …”
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Chemical Nose-Based Non-Invasive Detection of Breast Cancer Using Exhaled Breath by Yosef Matana, Shai Libson, Barak Amihood, Zvi Boger, David Lieberman, Offer Zeiri, Yehuda Zeiri

“…This work aims to develop a robust, accurate and highly reliable, non-invasive, low-cost screening method for early detection of BC in routine screening using exhaled breath (EB) analysis. …”
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An Improved Model for Detecting the Presence of Pesticide Residues in Edible Parts of Tomatoes, Cabbages, Carrots, and Green Pepper Vegetables Using Batch Image Analysis by Nabaasa, Evarist, Natumanya, Deborah, Mabirizi, Vicent

“…The model employs the following preprocessing techniques, that is, adaptive histogram equalization and Gaussian filtering, to enhance image quality before feature extraction through color analysis, edge detection, and texture measurement using the Gray Level Co-occurrence Matrix. …”
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Feature-interactive Siamese graph encoder-based image analysis to predict STAS from histopathology images in lung cancer by Liangrui Pan, Qingchun Liang, Wenwu Zeng, Yijun Peng, Zhenyu Zhao, Yiyi Liang, Jiadi Luo, Xiang Wang, Shaoliang Peng

“…We present VERN, an image analysis model utilizing a feature-interactive Siamese graph encoder to predict STAS from lung cancer histopathological images. …”
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Inflammatory Markers as Predictors of Diabetes Mellitus in Patients with Pulmonary Tuberculosis: A Retrospective Analysis of Hematological Parameters and Clinical Features by He X, Jiang Y, Hou H, Wu W

“…In particular, the combined detection of ESR, MLR, and PLR showed higher sensitivity and specificity for the diagnosis of DM among patients with PTB.Keywords: pulmonary tuberculosis, diabetes mellitus, inflammatory markers, ESR, MLR, PLR…”
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Predictive analysis of clinical features for HPV status in oropharynx squamous cell carcinoma: A machine learning approach with explainability by Emily Diaz Badilla, Ignasi Cos, Claudio Sampieri, Berta Alegre, Isabel Vilaseca, Simone Balocco, Petia Radeva

“…Finding reliable non-invasive detection methods of this prognostic entity is key to propose appropriate therapeutic decisions. …”
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SCoralDet: Efficient real-time underwater soft coral detection with YOLO by Zhaoxuan Lu, Lyuchao Liao, Xingang Xie, Hui Yuan

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A novel diagnostic framework for breast cancer: Combining deep learning with mammogram-DBT feature fusion by Nishu Gupta, Jan Kubicek, Marek Penhaker, Mohammad Derawi

“…Background and motivation: Breast cancer detection remains a critical challenge in medical imaging due to the complexity of tumor features and variability in breast tissue. …”
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Evaluating the Performance of Machine Learning Classifiers for Network Intrusion Detection: A Comparative Study Using the UNSW-NB15 Dataset by Iwan Handoyo Putro

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Winograd Transform-Based Fast Detection of Heart Disease Using ECG Signals and Chest X-Ray Images by Rishabh Anand, Adyasha Rath, Prabodh Kumar Sahoo, Prince Jain, Ganapati Panda, Xinhong Wang, Haipeng Liu

“…These features serve as inputs for AI-based detection models, with six machine learning (ML) and four deep learning (DL) models developed for HD detection. …”
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Design of a Novel Adaptive Weighted Multiview Deep Neural Network for Enhanced Islanding Detection in Smart Distribution Systems by Hani Albalawi, Abdul Wadood, Syed Basit Ali Bukhari, Aadel Mohammed Alatwi

“…This paper develops a novel adaptive weighted multiview deep neural network (AWM-DNN) model for enhanced islanding detection in smart distribution networks. The proposed approach extracts distinct views from three-phase(3-<inline-formula> <tex-math notation="LaTeX">$\phi $ </tex-math></inline-formula>) voltage signal&#x2014;using time-domain (TD), frequency-domain (FD), and time-frequency-domain analysis (TFD). …”
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SMS Scam Detection Application Based on Optical Character Recognition for Image Data Using Unsupervised and Deep Semi-Supervised Learning by Anjali Shinde, Essa Q. Shahra, Shadi Basurra, Faisal Saeed, Abdulrahman A. AlSewari, Waheb A. Jabbar

“…To address this, we merge a UCI spam dataset of regular text messages with real-world spam data, leveraging OCR technology for comprehensive analysis. The study employs a combination of traditional machine learning models, including K-means, Non-Negative Matrix Factorization, and Gaussian Mixture Models, along with feature extraction techniques such as TF-IDF and PCA. …”
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DEVELOPMENTAL FEATURES OF THE SYSTEM OF REGULATION OF HEART RATE IN A MALE BODY IN STAVROPOL by Olga Alekseevna Butova, Anna Sergeevna Ermakova

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Electrogastrogram-based detection of cybersickness with the application of wavelet transformation and machine learning: A case study by Ilija V. Tanasković, Nenad B. Popović, Jaka J. Sodnik, Sašo J. Tomažič, Nadica S. Miljković

“…The feature selection demonstrates that the root mean square of the amplitude as well as the maximum and mean values of the power spectral density (PSD) calculated on all DWT coefficients, are effective for CS detection while the dominant EGG scale could not indicate CS for any level of decomposition. …”
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Detrended Fluctuation Analysis and Hough Transform Based Self-Adaptation Double-Scale Feature Extraction of Gear Vibration Signals by JiaQing Wang, Han Xiao, Yong Lv, Tao Wang, Zengbing Xu

“…According to the analysis results, a DFA double logarithmic plot based feature vector combined with scale exponent and intercept of the small time scale is utilized to achieve a better performance of fault identification. …”
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