A study on the detection of conductor quantity in cable cores based on YOLO-cable by Xiaoguang Xu, Jiale Ding, Qi’an Ding, Qikai Wang, Yi Xun

“…Further visualization analysis shows that the overlap of YOLO-cable detection boxes with manually labeled samples reaches 90.9% in length and 95.7% in height, indicating high data consistency. …”
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Wind Turbine Fault Detection Through Autoencoder-Based Neural Network and FMSA by Welker Facchini Nogueira, Arthur Henrique de Andrade Melani, Gilberto Francisco Martha de Souza

“…The framework integrates autoencoder-based neural networks with Failure Mode and Symptoms Analysis, leveraging the strengths of both methodologies to enhance anomaly detection, feature selection, and fault localization. …”
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Using Deep Learning Techniques to Enhance Blood Cell Detection in Patients with Leukemia by Mahwish Ilyas, Muhammad Bilal, Nadia Malik, Hikmat Ullah Khan, Muhammad Ramzan, Anam Naz

“…The comprehensive analysis of the results reveals the highest accuracy of leukemia detection as compared to existing studies in the relevant literature.…”
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Edge-optimized multimodal cross-fusion architecture for efficient crop disease detection by Thomas Kinyanjui Njoroge, Kelvin Mugoye Shindu, Rachael Kibuku

“…Accurate and timely crop disease detection is critical for reducing agricultural losses and ensuring food security in low-resource settings. …”
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Diagnostic value of multi-tumor-associated autoantibody expression in esophageal squamous cell carcinoma and correlation of clinical features by Sihao Zhou, Sihao Zhou, Kejun Liu, Kejun Liu, Yuyu Yang, Chuan Yuan, Chuan Yuan, Yi Liu, Yi Liang, Wenhao Li, Jingjing Zhang, Hongyu Ye, Sheng Gong, Yingmeng Wu, Weizhao Huang

“…The diagnostic efficacy of the combined test with the remaining five antibodies (PGP9.5, SOX2, GBU4-5, MAGE-A1, and CAGE) was similar to that of the 7-TAAB combined test after eliminating the two antibodies with low expression rates. (4) Univariate analysis revealed significant differences in the positive expression rates of the 7-TAAB combination test in terms of age, hemoglobin level, albumin level, tumor location, tumor length, lymph node stage, and tumor clinical stage (P < 0.05), and multivariate analysis revealed that age and lymph node stage were independent factors affecting antibody expression.ConclusionThe multi-tumor-associated autoantibody combination test not only has a good auxiliary diagnostic value but also closely correlates with the clinical features of ESCC.…”
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A New Modelling and Feature Extraction Method Based on Complex Network and Its Application in Machine Fault Diagnosis by Qi Zhang, Tian Tian, Guangrui Wen, Zhifen Zhang

“…Analysis on the experimental data and bearing life cycle data shows that the method proposed in this paper is effective, revealing that the extracted features have effective separability and high accuracy in fault recognition and the degradation detection of the life cycle of rolling bearings combined with neural networks. …”
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A Pictorial Review of CT Angiography Imaging Features of Aortic Dissection and Its Complications: Role of Emergency Teleradiology by Reddy Muni Harika, Rao Pallavi, Kalyanpur Arjun

“…When coupled with emergency teleradiology analysis, the clinical outcomes can be significantly improved.…”
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Human Depth Sensors-Based Activity Recognition Using Spatiotemporal Features and Hidden Markov Model for Smart Environments by Ahmad Jalal, Shaharyar Kamal, Daijin Kim

“…Then, these features are processed by principal component analysis for dimension reduction and better feature representation. …”
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Clinical and psychological aspects of pregnancy and features of the course of labor in women with different types of psychological component of gestational dominant by V. M. Astakhov, O. V. Batsylieva, I. V. Puz

“…At the second stage (postpartum period), a retrospective analysis of the relevant medical documentation was carried out. …”
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Specific features of accumulation of heavy metals in the body of mollusks (Molluska: Limacidae) of the southern slope of the Aragats mountain range by V. S. Hovhannisyan, L. D. Arutyunova, L. S. Mirumyan, M. Z. Magomedova, P. D. Magomedova, T. E. Poghosyan

“…The content of heavy metals (Cu, Zn, Pb, Ca, Mo) in the body of the mollusks was determined by the Atomic Absorption Spectrophotometry method: AAS extraction & ISO‐8288. The features of the biological accumulation of heavy metals in the body of mollusks were also determined.Results. …”
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Exploring Voice Acoustic Features Associated with Cognitive Status in Korean Speakers: A Preliminary Machine Learning Study by Jiho Lee, Nayeon Kim, Ji-Wan Ha, Kyunghun Kang, Eunhee Park, Janghyeok Yoon, Ki-Su Park

“…<b>Objective</b>: To develop a non-invasive cognitive impairment detection system using speech data analysis, addressing the growing global dementia crisis and enabling accessible early screening through daily health monitoring. …”
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Frequency, Clinical Features, and Imaging Comparisons of Seropositive versus Seronegative Autoimmune Encephalitis in a Tertiary Care Setting by Bhavani Madduluri, Shaik A Jabeen, Reshma S Shaik, Sireesha Yareeda, Suryaprabha Turaga, Madhur K Srivastava, Charan Neeradi

“…The demographic data, clinical features, cerebrospinal fluid (CSF) analysis findings, electroencephalogram (EEG), and 3 T magnetic resonance imaging (MRI), and 18F fluoro-2-deoxy-d-glucose positron emission tomography computerized tomography (18F FDG PET–CT) findings were compared. …”
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Flexible Pressure Sensor with Tunable Sensitivity and a Wide Sensing Range, Featuring a Bilayer Porous Structure by Yunjiang Yin, Yingying Zhao, Tao Xue, Xinyi Wang, Qiang Zou

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Temporal record linkage for heterogeneous big data records by Reham I. Abdel Monem, Ehab E. Hassanein, Ali Z. El Qutaany

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Deep learning feature-based model for predicting lymphovascular invasion in urothelial carcinoma of bladder using CT images by Bangxin Xiao, Yang Lv, Canjie Peng, Zongjie Wei, Qiao Xv, Fajin Lv, Qing Jiang, Huayun Liu, Feng Li, Yingjie Xv, Quanhao He, Mingzhao Xiao

“…Principal Component Analysis reduced features to 64. Using the extracted features, Decision Tree, XGBoost, and LightGBM models were trained with 5-fold cross-validation and ensembled in a stacking model. …”
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Features of the pro-inflammatory activation and its role in the pathogenesis of cardiovascular remodeling in hypertensive patients of the ii nd stage by V. A. Vizir, O. V. Goncharov, A. S. Sadomov

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A review for cortisol sensing in medical applications by Gaye Ezgi Yılmaz, Yeşeren Saylan, Adil Denizli

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Morphological features and molecular mechanisms in peritoneal adhesions from patients with chronic abdominal postoperative painResearch in context by Masja Karina Toneman, Priscilla Pauline Marianne Faas, Maurits Johan Christian Antoine Marie Gielen, Valentina Carotti, Anne Elisa Adriana van Oirschot, Judith Petronella Maria Mangnus, Anne Wintjens, Casper Mihl, Josephine Huige, Bianca Grosser, Marjolein Blussé van Oud-Alblas, Koen Willem van Dongen, Nicole Dorine Bouvy, Harry van Goor, Daniel Keszthelyi, Heike Irmgard Grabsch, Richard Peter Gerardus ten Broek

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IMMUNOPHENOTYPIC AND CYTOGENETIC FEATURES OF ACUTE LEUKEMIA IN CHILDREN OF THE ARKHANGELSK REGION: A RETROSPECTIVE STUDYN: A RETROSPECTIVE STUDY by A. S. Ulanova, A. V. Kudryavtsev, A. L. Turabova, N. A. Grigorieva, I. A. Turabov, M. Yu. Rykov

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Characterization of the diversity, genomic features, host bacteria, and distribution of crAss-like phages in the pig gut microbiome by Yaxiang Wang, Chao Wei, Zhe Chen, Mengqing Zhou, Lusheng Huang, Congying Chen

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