Text classification using SVD, BERT, and GRU optimized by improved Seagull optimization (ISO) algorithm by Yuanyuan Chen, Nan Sun, Yuanbang Li, Rong Peng, Abbas Habibi

“…Over time, techniques for text classification have progressed from rule-based methods to more advanced deep learning and machine learning approaches. …”
Get full text

The quantification of down-hole fractionation for laser ablation mass spectrometry by J. C. Lloyd, J. C. Lloyd, C. Spandler, S. E. Gilbert, D. Hasterok

“…</p> <p>In this study, we investigate the application of orthogonal polynomial decomposition for quantitative modelling of LA-ICP-MS DHF patterns. …”
Get full text

Multi-Scale Analysis of Knee Joint Acoustic Signals for Cartilage Degeneration Assessment by Anna Machrowska, Robert Karpiński, Marcin Maciejewski, Józef Jonak, Przemysław Krakowski, Arkadiusz Syta

“…The proposed method demonstrates the potential for early detection of knee joint pathology, providing a valuable tool for preventive healthcare and reducing the need for invasive diagnostic procedures. …”
Get full text

Application of spectral characteristics of electrocardiogram signals in sleep apnea by Jiayue Hu, Liu Yang, Xintong Zhao, Haicheng Wei, Jing Zhao, Miaomiao Li

“…BackgroundElectrocardiogram (ECG) signals contain cardiopulmonary information that can facilitate sleep apnea detection. Traditional methods rely on extracting numerous ECG features, which is labor-intensive and computationally cumbersome.MethodsTo reduce feature complexity and enhance detection accuracy, we propose a spectral feature-based approach using single-lead ECG signals. …”
Get full text

Utilization of plastic and glass waste mixed with sand as an alternative brick materials by Badiea A. Mahyoub, Amer H. Abdu, Adel A. Ahmed, Ibtisam M. Kamal

“…Optimization of the two effective variables (plastic/sand and galas ratios) has been made and correlating the results obtained using Box-Wilson statistical method to create a model for describing the predictable properties of a new product.…”
Get full text

ChatGPT in Physics Education: A Content-Based Analysis on Newtonian Force Problems by Ni Nyoman Sri Putu Verawati, Wahyudi Wahyudi, Nina Nisrina, Muhammad Asy'ari

“…These limitations point to the model's partial conceptual understanding and highlight the need for human oversight. …”
Get full text

MERGE: A Modal Equilibrium Relational Graph Framework for Multi-Modal Knowledge Graph Completion by Yuying Shang, Kun Fu, Zequn Zhang, Li Jin, Zinan Liu, Shensi Wang, Shuchao Li

“…The multi-modal knowledge graph completion (MMKGC) task aims to automatically mine the missing factual knowledge from the existing multi-modal knowledge graphs (MMKGs), which is crucial in advancing cross-modal learning and reasoning. However, few methods consider the adverse effects caused by different missing modal information in the model learning process. …”
Get full text

A hybrid framework for classifying and detecting aircraft cabin anomalous sounds under heavy background noise by Jiaan Chen, Tian Gan, Chenyi Zhao, Huayong Zhao, Ci Song, Xiaole Wang, Zhenyu Huang

“…And in the second stage for anomalous sound identification, a lightweight convolutional neural network, trained with ArcFace loss and aided by an anomalous feature decomposition method, detects those labeled anomalous sounds even when the signal-to-noise ratio (SNR) is very low. …”
Get full text

Green synthesis of Ba(Fe1/2Nb1/2)O3 ceramics with high dielectric constant by Jha Anal K., Prasad Kamal

“…Domestic and/or kitchen wastes are a burden to the environment and they attract microbes after gradual festering and decomposition adding to the deterioration of the ambient air quality. …”
Get full text

NIRS identification of cashmere and wool fibers based on spare representation and improved AdaBoost algorithm by Zhu Yaolin, Li Zheng, Chen Xin, Chen Jinni, Zhang Hongsong

“…This article proposes a method to identify and classify two similar fibers. …”
Get full text

Matter-element evaluation of ecological quality in gaps of temperate secondary forests by Hui Liu, Xibin Dong, Shili Qin, Tong Gao

“…This study employed a combination of the improved combination weight method from game theory and the matter-element extension model to evaluate the ecological quality of these forest gaps. …”
Get full text

Global, regional, and national burden and trends of prostate cancer in elderly from 1990 to 2021: results from global burden of disease 2021 by Yinghong Li, Mingjie Tang, Jun Shao, Shiwei Li, Yuhao Teng, Yuanyuan Xu, Peng Shu

“…Furthermore, this study employed a comprehensive analytical approach, including estimated annual percentage change (EAPC), decomposition analysis, and predictive modeling (Nordpred method). …”
Get full text

Nonlinear compressive reduced basis approximation for PDE’s by Cohen, Albert, Farhat, Charbel, Maday, Yvon, Somacal, Agustin

“…These methods, such as the Proper Orthogonal Decomposition (POD) or Reduced Basis (RB) methods, are very effective when the family of solutions has fast-decaying Karhunen–Loève eigenvalues or Kolmogorov widths, reflecting the approximability by finite-dimensional linear spaces. …”
Get full text

Global, regional, and national burden and trends of HIV/AIDS among women of childbearing age from 1990 to 2021: results from Global Burden of Disease 2021 by Mingjie Tang, Mingjie Tang, Jun Shao, Yanjie Jiang, Yanjie Jiang, Yinghong Li, Shiwei Li, Yilin Song, Wenxuan Wu, Jiqin Tang, Zhaoming Chen

“…Additionally, a comprehensive analytical approach was employed, which included the estimated annual percentage change (EAPC), Joinpoint regression, decomposition analysis, and predictive modeling using the Nordpred method. …”
Get full text

Global impact of Occupational Noise-Induced Hearing Loss (ONIHL): trends, gender disparities, and future projections: 1990–2036 by Dandan Liu, Huixia Ji, Ye Chen, Wenying Li

“…A Joinpoint regression model was employed to calculate the annual percentage change (APC) in ONIHL Years Lived with Disability (YLDs) rate, and a decomposition analysis was utilized to quantify the influences of age structure, population growth, and epidemiological changes on the global burden of ONIHL. …”
Get full text

ML-ROM wall shear stress prediction in patient-specific vascular pathologies under a limited clinical training data regime. by Chotirawee Chatpattanasiri, Federica Ninno, Catriona Stokes, Alan Dardik, David Strosberg, Edouard Aboian, Hendrik von Tengg-Kobligk, Vanessa Díaz-Zuccarini, Stavroula Balabani

“…This study presents an integration of Proper Orthogonal Decomposition (POD)-based ROM with neural network-based ML models to predict Wall Shear Stress (WSS) in patient-specific vascular pathologies. …”
Get full text

HMSTNet: A Deep Learning Multimodal Approach for Personalized English Literature Recommendations by Xiaopeng Wang, Xue Liang

“…The complex nature of literary data poses challenges to k-Nearest Neighbors (kNN) and Singular Value Decomposition (SVD) whereas conventional methods show limited success in both context understanding and accuracy. …”
Get full text

Multivariate Load Forecasting of Integrated Energy System Based on CEEMDAN-CSO-LSTM-MTL by WANG Yongli, LIU Zeqiang, DONG Huanran, LI Dexin, CHEN Xin, GUO Lu, WANG Jiarui

“…Based on this，a comprehensive energy system short-term load forecasting model is proposed，which combines complete ensemble empirical mode decomposition with adaptive noise （CEEMDAN），cross optimization algorithm （CSO），long short term memory （LSTM） network，and multi task learning （MTL）. …”
Get full text

Assessing the impact of macroeconomic variables on environmental quality in the MENA using logarithmic mean divisia and co-integration panel by Ali Afzali, Vahid Majed

“…In the first step, the share of each macroeconomic variables was investigated by using the Logarithmic Mean Divisia Index, Which is considered one of the most widely used decomposition techniques in the short term. To long-term analysis, After determining the input values related to MENA region, The panel data method was used that indicate the presence of co-integration in the model, Co-integration concept is reminiscent of a long-run equilibrium relationship between economic systems move over time towards it (Noferesti, 1999). …”
Get full text

A Novel Measurement Matrix Optimization Approach for Hyperspectral Unmixing by Su Xu, Xiping He

“…Firstly, a new Toeplitz-structured chaotic measurement matrix (TSCMM) is formed by pseudo-random chaotic elements, which can be implemented by a simple hardware; secondly, rank revealing QR factorization with eigenvalue decomposition is presented to speed up the measurement time; finally, orthogonal gradient descent method for measurement matrix optimization is used to achieve optimal incoherence. …”
Get full text