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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Detection of conveyor belt defects using unified diagnostic criteria. by Gerike P.B., Gericke B.L.

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A comprehensive guide to selecting suitable wavelet decomposition level and functions in discrete wavelet transform for fault detection in distribution networks by Esraa M. Shalby, Almoataz Y. Abdelaziz, Eman S. Ahmed, Basem Abd-Elhamed Rashad

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Phenomenological Features of Concentration by A.V. Melnikov, M.G. Yusupov

“…The purpose of this research is detection of the psychological and physiological features in students as they concentrate; in order to reveal the intensity of psychological and physiological manifestations of this state influencing the success of problem solving, frequency analysis is performed. …”
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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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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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Opportunities and Limitations of Wrist-Worn Devices for Dyskinesia Detection in Parkinson’s Disease by Alexander Johannes Wiederhold, Qi Rui Zhu, Sören Spiegel, Adrin Dadkhah, Monika Pötter-Nerger, Claudia Langebrake, Frank Ückert, Christopher Gundler

“…These results highlight the potential of semantic movement data analysis for dyskinesia detection. Dimensionality reduction in accelerometer-based movement data positively impacts performance, and models trained with semantically obtained features avoid overfitting. …”
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OBJECT DETECTION METHOD APPLICATION TO RUNWAY IMAGERY IN LOW VISIBILITY CONDITIONS by D. S. Andreev

“…The requirements for features descriptors, recognition and detection methods are defined and methods for research are defined. …”
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ViTAU: Facial paralysis recognition and analysis based on vision transformer and facial action units by Jia GAO, Wenhao CAI, Junli ZHAO, Fuqing DUAN

“…This innovative approach not only enhances the accuracy of facial paralysis detection but also contributes to facial medical imaging.…”
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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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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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Enhancing Sentiment-Driven Recommender Systems With LLM-Based Feature Engineering: A Case Study in Drug Review Analysis by Samuel Matia Kangoni, Obed Tshimanga Tshipata, Pierre Sedi Nzakuna, Vincenzo Paciello, Jean-Gilbert Mbula Mboma, Jean-Robert Makulo, Kyandoghere Kyamakya

“…This study evaluates the effectiveness of word-level and sentence-level embeddings for feature extraction in sentiment analysis. These embeddings are used in sequential models (Bi-LSTM, CNN) and non-sequential models (Random Forest, DNN, ExtraTreesClassifier). …”
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An Optimally Oriented Coherence Attribute Method and Its Application to Faults and Fracture Sets Detection in Carbonate Reservoirs by Shuai Chen, Shengjun Li, Qi Ma, Lu Qin, Sanyi Yuan

“…A distance-weighted computation and extended directional model trace strategy are adopted to further enhance the detection of fine-scale discontinuities, overcoming the limitations of traditional attributes in resolving subtle structural features. …”
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A comparative analysis of fault detection and process diagnosis methods based on a signal processing paradigm by Dorel Aiordăchioaie

“…The objective of this work is to perform a comparative analysis of the most used methods based on a signal processing paradigm and in the context of fault detection and process diagnosis. …”
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Use of Business Intelligence as a Strategic Information Technology in Banking: Farud Discovery & Detection by علی محقر, کارو لوکس, ، فرید حسینی, آصف علی منشی

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Detection of external defects on potatoes by hyperspectral imaging technology and image processing method by Su Wenhao, Liu Guishan, He Jianguo, Wang Songlei, He Xiaoguang, Wang Wei, Wu Longguo

“…The traditional classification method has low efficiency and poor objectivity, costs big labor intensity, and is difficult to identify shortcomings through it.In order to realize the accurate and fast classification of potatoes in the process of actual processing, various potatoes with external defects were detected in spectral region of 400 - 1 000 nm using hyperspectral image technology, and an online nondestructive testing method was established by principal component analysis of characteristic wavelengths and image subtraction algorithm.Six defective potato types (mechanical damage, hole, scab, surface bruise, sprout, green skin, normal) and one qualified potato type were used as the research objects in this study, and their hyperspectral images were obtained, respectively. …”
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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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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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Integrating near-infrared hyperspectral imaging with machine learning and feature selection: Detecting adulteration of extra-virgin olive oil with lower-grade olive oils and hazeln... by Derick Malavi, Katleen Raes, Sam Van Haute

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