Improved Intelligent Condition Monitoring with Diagnostic Indicator Selection by Urszula Jachymczyk, Paweł Knap, Krzysztof Lalik

“…In this study, a predictive maintenance (PdM) system focused on feature selection for the detection and classification of simulated defects in wind turbine blades has been developed. …”
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Predicting breast cancer recurrence using deep learning by Deepa Kumari, Mutyala Venkata Sai Subhash Naidu, Subhrakanta Panda, Jabez Christopher

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Development and validation of a deep learning system for detection of small bowel pathologies in capsule endoscopy: a pilot study in a Singapore institution by Bochao Jiang, Michael Dorosan, Justin Wen Hao Leong, Marcus Eng Hock Ong, Sean Shao Wei Lam, Tiing Leong Ang

“…Methods: We demonstrated the use of deep learning models in CE image analysis, specifically by piloting a bowel preparation model (BPM) and an abnormality detection model (ADM) to determine frame-level view quality and the presence of abnormal findings, respectively. …”
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A state-of-the-art review of the recent advances of theranostic liposome hybrid nanoparticles in cancer treatment and diagnosis by Hannaneh Azimizonuzi, Arman Ghayourvahdat, Mareb Hamed Ahmed, Radhwan Abdul Kareem, Athmar Jaber Zrzor, Aseel Salah Mansoor, Zainab H. Athab, Shaylan Kalavi

“…Overarchingly, this article provided a comprehensive overview of the many LP types used in cancer detection, therapy, and theranostic analysis. An evaluation of the pros and cons of the many HLs types used in cancer detection and treatment has also been conducted. …”
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Machine Learning Models for Tracking Blood Loss and Resuscitation in a Hemorrhagic Shock Swine Injury Model by Jose M. Gonzalez, Ryan Ortiz, Lawrence Holland, Austin Ruiz, Evan Ross, Eric J. Snider

“…We have previously combined feature extraction and machine learning methodologies applied to arterial waveform analysis to develop advanced metrics that have enabled the early and accurate detection of impending shock in a canine model of hemorrhage, including metrics that estimate blood loss such as the Blood Loss Volume Metric, the Percent Estimated Blood Loss metric, and the Hemorrhage Area metric. …”
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Short-term overloading exercise attenuates articular chondrocyte features partly via synovium–cartilage interactions mediated by inhibin subunit beta A by Yusuke Arino, Asuka Terashima, Toshiya Tsubaki, Yasuhide Iwanaga, Yasunori Omata, Sakae Tanaka, Taku Saito

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HD-MVCNN: High-density ECG signal based diabetic prediction and classification using multi-view convolutional neural network by D. Santhakumar, K. Dhana Shree, M. Buvanesvari, A. Saran Kumar, Ayodeji Olalekan Salau

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Epidemic situation and features of accompanying therapy in the treatment of socially significant infectious diseases in penitentiary populations before, during, and after the COVID... by V. M. Kolomiets, N. A. Polshikova, A. Yu. Petrov, A. L. Kovalenko, E. V. Talikova

“…The second stage of the study was the analysis of data on tuberculosis (TB): features of the clinical course, etiotropic treatment, and the possibility of increasing efficiency through accompanying therapy.Results. …”
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Label semantics and image features aware remote sensing sample retrieval from multi-source datasets for AI-enabled remote sensing monitoring by XingTao Ren, XingTao Ren, Yan Ma, YiXin Zhou, YiXin Zhou

“…Introduction:With the advent of remote sensing (RS) big data, the evolving deep learning (DL) enabled analysis has shown remarkable potential in uncovering intricate features and detecting environmental changes from the vast influx of remote sensing imagery. …”
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Zonal Estimation of the Earliest Winter Wheat Identification Time in Shandong Province Considering Phenological and Environmental Factors by Jiaqi Chen, Xin Du, Chen Wang, Cheng Cai, Guanru Fang, Ziming Wang, Mengyu Liu, Huanxue Zhang

“…Aggregation zones across Shandong Province were delineated using Principal Component Analysis (PCA) based on factors such as start of season, end of season, temperature, slope, and others. …”
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Prevalence and spectrum of PIK3 mutations in breast cancer and their correlation with clinicopathological features: A cross-sectional observational study from South India by HS Darling, Rahul Sud, Deep Kumar Raman

“…Results: Among 273 patients, PIK3CA mutation analysis data were available for 220 patients, with mutations detected in 90 (40.9%). …”
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Incidence of BCR-ABL transcript variants in patients with chronic myeloid leukemia: Their correlation with presenting features, risk scores and response to treatment with imatinib... by Pratik Deb, Prantar Chakrabarti, Shila Chakrabarty, Rajarshi Aich, Uttam Nath, Siddhartha Sankar Ray, Utpal Chaudhuri

“…Aims: In this study, we have tried to correlate the presenting features, risk scores and treatment response with the BCR-ABL variants detected in our patients. …”
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Correlation of Computed Tomography Angiography and Fractional Flow Reserve Features with Symptoms in Patients with Right Coronary Artery Originating from the Left Coronary Sinus by Liang MAO, Xiaoqiang WANG, Xiaolong LIU, Ning ZHAI, Yueqin CHEN

“…Methods: A retrospective analysis was conducted on 151 patients with AORL detected by CCTA between January 2018 and December 2023 at our hospital. …”
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Predictive and prognostic features of early and locally advanced <i>PIK3CA</i>-mutated luminal HER2-negative breast cancer by A. I. Stukan, T. Yu. Semiglazova, S. I. Kutukova, V. A. Porkhanov, V. N. Bodnya, E. N. Imyanitov, V. V. Antipova, Z. K. Khachmamuk, O. Yu. Chukhray, S. D. Maksimenko

“…The clinical, morphological and molecular features of the tumor of 101 BC patients with PIK3CA mutations (100 women and 1 man) were analyzed. …”
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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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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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Acoustic Signal-Based Deep Learning Approach and Device for Detecting Interfacial Voids in Steel–Concrete Composite Structures by Wei Tian, Hang Yuan, Xinpeng You, Hehui Zheng, Bazhou Li, Chengming Peng

“…The introduction of Mel spectrum features into the analysis of excitation vibration acoustic signals can improve the accuracy of identifying structural void damage. …”
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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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Multi-modal denoised data-driven milling chatter detection using an optimized hybrid neural network architecture by Haining Gao, Haoyu Wang, Hongdan Shen, Shule Xing, Yong Yang, Yinlin Wang, Wenfu Liu, Lei Yu, Mazhar Ali, Imran Ali Khan

“…Sensitivity analysis of time–frequency domain features is conducted using Pearson correlation coefficient analysis. …”
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Accurate and affordable multi-cancer early detection and localization via plasma cfDNA multi-omic profiling by Pin Cui, Weihuang He, Mingji Feng, Hanming Lai

“…Background: Early detection of major cancers, including HCC, lung cancer, colotectal cancer and etc., can improve prognosis, but has not yet been clinically implemented due to lack of accurate and affordable means. …”
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