Paroxysmal Nocturnal Hemoglobinuria in Patients with Aplastic Anemia: Challenges, Characteristics, and Analysis of Clinical Experience by ER Shilova, TV Glazanova, ZhV Chubukina, OE Rozanova, MN Zenina, AV Seltser, VI Rugal, VA Balashova, VA Kobilyanskaya, II Krobinets, VYu Udal’eva, II Zotova, LV Stelmashenko, NA Romanenko, TB Zamotina, IV Khorsheva, SV Voloshin

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Efficient IDS for IoT Networks Using Host-Based Data Aggregation and Multi-Entropy Analysis by Yusei Katsura, Arata Endo, Ismail Arai, Kazutoshi Fujikawa

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Quantitatively Detecting Camellia Oil Products Adulterated by Rice Bran Oil and Corn Oil Using Raman Spectroscopy: A Comparative Study Between Models Utilizing Machine Learning Alg... by Henan Liu, Sijia Ma, Ni Liang, Xin Wang

“…Independent component analysis (ICA), competitive adaptive reweighing sampling (CARS), and their dual combinations served to extract spectral features. …”
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Enhanced Rolling Bearing Fault Diagnosis Using Multimodal Deep Learning and Singular Spectrum Analysis by Yunhang Wang, Hongwei Wang, Ruoyang Bai, Yuxin Shi, Xicong Chen, Qingang Xu

“…First, key features are extracted from the multimodal signal set using singular spectrum analysis (SSA), and these features are transformed into a composite dataset that combines short-time Fourier transform (STFT) images and time series data. …”
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Scalable Clustering of Complex ECG Health Data: Big Data Clustering Analysis with UMAP and HDBSCAN by Vladislav Kaverinskiy, Illya Chaikovsky, Anton Mnevets, Tatiana Ryzhenko, Mykhailo Bocharov, Kyrylo Malakhov

“…The study aims to apply unsupervised clustering algorithms to ECG data to detect latent risk profiles related to heart failure, based on distinctive ECG features. …”
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SeaConvNeXt: A Lightweight Two-Branch Network Architecture for Efficient Prediction of Specific IHC Proteins and Antigens on Hematoxylin and Eosin (H&E) Images by Yuli Chen, Guoping Chen, Guoying Shi, Yao Zhou, Jiayang Bai, Germán Corredor, Cheng Lu, Xiujuan Lei

“…Immunohistochemistry (IHC) is a vital technique for detecting specific proteins and antigens in tissue sections using antibodies, aiding in the analysis of tumor growth and metastasis. …”
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Gait-based Parkinson’s disease diagnosis and severity classification using force sensors and machine learning by Navita, Pooja Mittal, Yogesh Kumar Sharma, Anjani Kumar Rai, Sarita Simaiya, Umesh Kumar Lilhore, Vimal Kumar

“…The dataset (imbalance) collected from both feet is passed to the preprocessing phase (for balancing data using the SMOTE method), followed by the feature extraction phase to extract features related to time, frequency, spatial, and temporal features domains that are highly effective for detecting and assigning severity levels of PD. …”
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Dynamic Principal Component Analysis with Nonoverlapping Moving Window and Its Applications to Epileptic EEG Classification by Shengkun Xie, Sridhar Krishnan

“…In this paper a novel signal feature extraction method based on dynamic principal component analysis and nonoverlapping moving window is proposed. …”
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Lagrangian Coherent Structure Analysis of Terminal Winds: Three-Dimensionality, Intramodel Variations, and Flight Analyses by Brent Knutson, Wenbo Tang, Pak Wai Chan

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Decoding Anomalous Diffusion Using Higher-Order Spectral Analysis and Multiple Signal Classification by Miguel E. Iglesias Martínez, Òscar Garibo-i-Orts, J. Alberto Conejero

“…Recent advances using statistical methods and recurrent neural networks have made it possible to detect such phenomena, even in noisy conditions. In this work, we explore feature extraction through parametric and non-parametric spectral analysis methods to decode anomalously diffusing trajectories, achieving reduced computational costs compared with other approaches that require additional data or prior training. …”
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Bidimensional Increment Entropy for Texture Analysis: Theoretical Validation and Application to Colon Cancer Images by Muqaddas Abid, Muhammad Suzuri Hitam, Rozniza Ali, Hamed Azami, Anne Humeau-Heurtier

“…Entropy algorithms are widely applied in signal analysis to quantify the irregularity of data. In the realm of two-dimensional data, their two-dimensional forms play a crucial role in analyzing images. …”
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Free volume and nonlinear viscoelasticity in supercrystalline nanocomposites: A nanoindentation driven modelling analysis by Cong Yan, Eric Hirschmann, Marc G.D. Geers, Diletta Giuntini

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Analysis of Voice, Speech, and Language Biomarkers of Parkinson’s Disease Collected in a Mixed Reality Setting by Milosz Dudek, Daria Hemmerling, Marta Kaczmarska, Joanna Stepien, Mateusz Daniol, Marek Wodzinski, Magdalena Wojcik-Pedziwiatr

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Gas discharge visualization as a promising tool for meat analysis during its storage by A. U. Shkabrou, I. M. Chernukha, V. D. Raznichenka, L. U. Lazovikava, I. I. Andreeva, S. N. Baitava

“…The use of the GDV method for analyzing the food products quality has got a number of advantages, since it allows for quick and non-invasive getting of information on the food product condition, which capability may be quite promising for meat analysis. The study described in this paper is based on the GDV method application for analyzing the condition of the chilled pork at various stages of its storage and for detecting the peculiar changes in its quality.The study analyzed samples of Sus scrofa m. longissimus dorsi stored at a temperature of 0 to 4 °C for five days. …”
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Exploring the potential and limitations of deep learning and explainable AI for longitudinal life course analysis by Helen Coupland, Neil Scheidwasser, Alexandros Katsiferis, Megan Davies, Seth Flaxman, Naja Hulvej Rod, Swapnil Mishra, Samir Bhatt, H. Juliette T. Unwin

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GAN-enhanced deep learning for improved Alzheimer's disease classification and longitudinal brain change analysis by Purushottam Pandey, Surbhi Bhatia Khan, Surbhi Bhatia Khan, Surbhi Bhatia Khan, Jyoti Pruthi, Eid Albalawi, Ali Algarni, Ahlam Almusharraf

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ARMNet: A Network for Image Dimensional Emotion Prediction Based on Affective Region Extraction and Multi-Channel Fusion by Jingjing Zhang, Jiaying Sun, Chunxiao Wang, Zui Tao, Fuxiao Zhang

“…Furthermore, in the existing literature, when fusing multi-level features, no consideration has been given to the varying contributions of features from different levels to emotional analysis, which makes it difficult to distinguish valuable and useless features and cannot improve the utilization of effective features. …”
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Abnormal gait recognition with millimetre‐wave radar based on perceptual loss and convolutional temporal autoencoder by Peng Zhao, Ling Hong, Yu Wang

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CSMA: A Standalone and ImageJ-Compatible Tool for Enhanced Wound Healing Assay Analysis by Tri Thanh Pham, Amina Sagymbayeva, Timur Elebessov, Zhadyra Onzhanova, Ferdinand Molnar

“…Still, existing methods often underperform due to omitting cell detection within the wound area, resulting in biased outcomes. …”
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Correlation analysis on epidermal growth factor receptor (EGFR) mutations and clinicopathological characteristics in lung adenocarcinomas by Haitao Wang, Changhua Ji, Chengjun Zhou, Hui Li

“…PurposeTo analysis the correlation between EGFR mutations and clinicopathological features in lung adenocarcinomas.Methods139 lung adenocarcinoma cases from the Second Hospital of Shandong University were conducted molecular detection of EGFR mutations. …”
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