Association of left ventricular diastolic function with parameters of arterial stiffness and atherosclerotic plaques in the carotid basin in hypertensive patients by V. V. Syvolap, A. O. Bohun

“…Basic anthropometric data, echocardiographic indicators, QIMT, local stiffness indicators were studied: arterial diameter, distensibility, DC, CC, stiffness indices α, β, local PWV, augmentation pressure and index (using RF-QIMT, RF-QAS technologies). …”
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Adaptive Anomaly Detection in Network Flows With Low-Rank Tensor Decompositions and Deep Unrolling by Lukas Schynol, Marius Pesavento

“…Extensive experiments on synthetic and real-world data demonstrate that our proposed deep network architecture exhibits a high training data efficiency, outperforms reference methods, and adapts seamlessly to varying network topologies.…”
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Lingual foramina on cone beam computed tomography: A retrospective radiographic study by Om Nemichand Baghele, Vishnudas Dwarkadas Bhandari, Pratiksha Shivajirao Late, Bhushan Rajendra Bangar, Gauri Mahesh Ugale, Raghavendra Metri

“…Total number of foramina, their location and vertical distance between them to inferior border of mandible were recorded. Statistical analysis used: Data were entered in data sheets and analysed by using descriptive and inferential statistics. …”
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An open dataset and machine learning algorithms for Niacin Skin-Flushing Response based screening of psychiatric disorders by Xuening Lyu, Rimsa Goperma, Dandan Wang, Chunling Wan, Liang Zhao

“…This segmentation is significantly enhanced by runtime data augmentation and trained on a robust train/validation/test dataset split. …”
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Rainfall prediction based on CNN-LSTM model under sliding window by Rui Yuan

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Person Recognition from Gait Analysis for Smart Spaces by using MLP-based DNN model by Cüneyt Yücelbaş

“…In addition, the ACC rate was found to be 100%, and it proved that the method used to increase the data also produced successful results in walking data. …”
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A Systematic Review of the Current State of Transfer Learning Accelerated CNN-Based Plant Leaf Disease Classification by David J. Richter, Md Ilias Bappi, Shivani Sanjay Kolekar, Kyungbaek Kim

“…This paper presents statistics on model, dataset, hyperparameter, pre-processing, augmentation, and metrics usage. …”
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Vertebroplasty in patients with multiple myeloma with vertebral compression fractures: protocol for a single-blind randomised controlled trial by Thomas Lund, Line Adsboell Wickstroem, Leah Carreon, Niels Abildgaard, Marianne Dyrby Lorenzen, Mikkel Østerheden Andersen

“…The primary outcome will be change in Oswestry Disability Index at 4 weeks.Analysis Primary and secondary outcomes are assessed at baseline and at 4, 8, 26 and 52 weeks. Categorical data will be presented by means of frequencies and related percentages; continuous data will be displayed by means of descriptive statistics.Ethics and dissemination The study has been evaluated by the Regional Committees on Health Research for Southern Denmark (S-20200075) and notified and approved by the Region of Southern Denmark and listed in the internal record, journal no. 20/22355. …”
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Role of the urethral plate characters in the success of tubularized incised plate urethroplasty by Hamdy Aboutaleb

“…Patients were followed-up for urethral calibration by urethral sound 8 Fr at 3 rd and 6 months follow-up. Data were statistically analysed using Epi info program to correlate between the width, plate shape, and complications. …”
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A Hybrid Attention-Based Transformer Model for Arabic News Classification Using Text Embedding and Deep Learning by Md. Mithun Hossain, Md. Shakil Hossain, Mejdl Safran, Sultan Alfarhood, Meshal Alfarhood, M. F. Mridha

“…To deal with the complexities of the Arabic language and enrich the dataset, we used a thorough preparation pipeline that includes text cleaning, tokenization, lemmatization, and data augmentation approaches. We combined a bespoke attention embedder with classic TF-IDF and Bag-of-Words features to provide a comprehensive feature set that includes both the text’s contextual and statistical aspects. …”
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Enhanced Wheat Head Detection in Images Using Fourier Domain Adaptation and Random Guided Filter: Détection améliorée des têtes de blé dans les images à l’aide de l’adaptation du d... by Sylvester C. Okafor, Linjing Wei, Solomon Boamah, Le Zhang, Mamadou B. Diallo

“…AABG adjusts image properties based on local statistics of the image patches, and RGF, a technique for edge-aware image filtering, was used as augmentation. …”
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Algerian elders are living longer lives, but shorter lives free of chronic diseases: An analysis of the 2006-2019 period by Farid Flici, Meryem Chinoune

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Inductive and Transfer Learning‐Based Hybrid Model Techniques for Accurate and Automated Diagnosis of Neurological Diseases by Saroj Kumar Pandey, Yogesh Kumar Rathore, Sunakshi Mehra, Anurag Sinha, Tarun Raj Kumar, Ankit Kumar, Rekh Ram Janghel, Ayodele Lasisi, Quadri Noorulhasan Naveed, Md. Sazid Reza

“…The proposed pipeline integrates optimized preprocessing, including normalization, skull stripping, and data augmentation, followed by CNN‐based feature extraction and classification. …”
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Cone beam computed tomography analysis of maxillary vestibular bone thickness in the esthetic region by Đurđević Milica, Bubalo Marija, Luković Ana, Igić Ana, Acović Aleksandar, Kanjevac Tatjana

“…That increases the use of auxiliary methods of bone augmentation during immediate implant placement.…”
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MRI-based deep learning with clinical and imaging features to differentiate medulloblastoma and ependymoma in children by Yasen Yimit, Yasen Yimit, Parhat Yasin, Yue Hao, Abudouresuli Tuersun, Abudouresuli Tuersun, Chencui Huang, Xiaoguang Zou, Xiaoguang Zou, Ya Qiu, Ya Qiu, Yunling Wang, Mayidili Nijiati, Mayidili Nijiati

“…To mitigate class imbalance, we implemented data augmentation and employed K-fold cross-validation to enhance model generalizability. …”
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CLINICAL-EPIDEMIOLOGICAL CHARACTERISTIC OF ECHINOCOCCOSIS IN ZAPOROZHYE REGION by E. V. Ryabokon, O. V. Zarudnaya, N. S. Ushenina

“…For confirmation of the diagnosis were used instrumental (ultrasonic research, computer tomography), serological (identification of antibodies to echinococcus), histological (after cyst excision) methods. The obtained data were processed by a method of variation statistics. …”
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Estimates of Rare Rainfall Extremes in Ungauged Areas by Pietro Devò, Maria Francesca Caruso, Marco Borga, Marco Marani

“…Abstract The probability estimation of rare or yet unobserved events is essential for hazard quantification, especially in the frequent case of short observational records. Data limitations can be mitigated by using regionalization techniques, which augment observational information, and by employing effective statistical models, such as the Metastatistical Extreme Value Distribution (MEVD), which maximizes the use of available observations. …”
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Deep Convolutional Neural Networks to Automatically Classify Human Heart Diseases by Yo-Ping Huang, Richard Mushi, Frode Eika Sandnes, Hsiao-Feng Hu, Jing-Huei Lee

“…The improvements were statistically significant. The data augmentation method exhibited varying effects on model performance. …”
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Impact of living kidney donation on blood pressure and arterial stiffness: Systematic review and meta-analysis. by Maria Smyrli, Theodora Oikonomaki, Chrysanthi Skalioti, Eleni Kapsia, Ioannis N Boletis, Smaragdi Marinaki

“…However, the heterogeneity and the lack of data underscores the need for high-quality studies so as to elucidate the connection between arterial stiffness, blood pressure, and GFR level.…”
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LMVT: A hybrid vision transformer with attention mechanisms for efficient and explainable lung cancer diagnosis by Jesika Debnath, Al Shahriar Uddin Khondakar Pranta, Amira Hossain, Anamul Sakib, Hamdadur Rahman, Rezaul Haque, Md.Redwan Ahmed, Ahmed Wasif Reza, S M Masfequier.Rahman Swapno, Abhishek Appaji

“…This study highlights the potential of hybrid ViT architectures in creating scalable and interpretable data-driven tools for practical use in lung cancer diagnostics.…”
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