Numerical study of the singular nonlinear initial value problem with applications in astrophysics by Mahmoud Abd El-Hady, Homan Emadifar, Galal I. El-Baghdady, Atallah El-shenawy

“…The paper presents a exhaustive investigation of the convergence features and numerical performance of the Chelyshkov tau scheme when applied to the nonlinear singular Lane-Emden initial value problems. …”
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DDoS classification of network traffic in software defined networking SDN using a hybrid convolutional and gated recurrent neural network by Ahmed M. Elshewey, Safia Abbas, Ahmed M. Osman, Eman Abdullah Aldakheel, Yasser Fouad

“…Among all models, the CNN-GRU hybrid achieved perfect test performance, with 100% accuracy, 1.0000 precision, recall, and F1-score, and an ROC AUC of 1.0000. …”
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Protocol for the analysis of cell-free DNA end characteristics for accurate cancer diagnosis by Xiaoyi Liu, Fanglei Gong, Huizhen Lin, Yunyun An, Kun Sun

“…Overall, we provide commands to align cfDNA whole-genome sequencing data starting from raw reads, then extract fragmentomic features, and finally build diagnostic models with performance evaluations.For complete information on the generation and use of this protocol, please refer to Ju et al.1 : Publisher’s note: Undertaking any experimental protocol requires adherence to local institutional guidelines for laboratory safety and ethics.…”
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Identification of DUSP7 as an RNA Marker for Prognostic Stratification in Acute Myeloid Leukemia: Evidence from Large Population Cohorts by Xin Gao

“…Single-cell analysis was performed using the TISCH project. All the analysis was conducted in the R software. …”
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Imbalanced Power Spectral Generation for Respiratory Rate and Uncertainty Estimations Based on Photoplethysmography Signal by Soojeong Lee, Mugahed A. Al-antari, Gyanendra Prasad Joshi, Yeong Hyeon Gu

“…Our approach achieves high stability and accuracy by randomly mixing original and artificial feature curves. The proposed GPR-IPSG model can improve the performance of clinical home-based monitoring systems and design a reliable framework.…”
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Prediction of early postoperative recurrence of hepatocellular carcinoma by habitat analysis based on different sequence of contrast-enhanced CT by Yubo Zhang, Yubo Zhang, Hongyan Ma, Peng Lei, Zhiyuan Li, Zhao Yan, Xinqing Wang

“…The internal subregion of the tumor was objectively delineated and the clinical features were also analyzed to construct clinical models. …”
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A novel MRI-based habitat analysis and deep learning for predicting perineural invasion in prostate cancer: a two-center study by Shuitang Deng, Danjiang Huang, Xiaoyu Han, He Zhang, Hui Wang, Guoqun Mao, Weiqun Ao

“…Receiver operating characteristic curve analysis was performed to evaluate the models’ ability to predict PNI. …”
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Flusion: Integrating multiple data sources for accurate influenza predictions by Evan L. Ray, Yijin Wang, Russell D. Wolfinger, Nicholas G. Reich

“…Flusion emerged as the top-performing model in the CDC’s influenza prediction challenge for the 2023/24 season. …”
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Fusion of Visual Attention and Scene Descriptions With Deep Reinforcement Learning for AAV Indoor Autonomous Navigation by Hussein Samma, Ahmed Abubaker, Mubarak Badamasi Aremu, Mohammed Abdel-Nasser, Sami El-Ferik

“…This work proposes a dual guidance framework to address these challenges. A CNN-based model with attention mechanisms and scene aware features serves as input to deep reinforcement learning. …”
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Design and Analysis of a Portable Robot for Venous Blood Sampling by Haoran Xue, Hasiaoqier Han, Gang Man, Zeran Feng, Peng Yu, Zhenbang Xu

“…This paper uses the kinematic constraint characteristics of the offset hinge to establish a kinematic model of the parallel mechanism, and the Newton–Raphson numerical iterative method is used to perform the computation. …”
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Simulation Analysis of Void Defect Detection in Sandwich-Structured Immersed Tunnel Using Elastic Wave by Ruiqiang Liu, Songhui Li, Guoxin Zhang, Shenyou Song, Jianda Xin

“…Using the calculation model and identified material parameters validated in the active prototype experiment, numerical simulations of several sets, which considered all influencing factors, were performed. …”
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Microstrip Patch Antenna Design Using a Four-Layer Feed Forward Artificial Neural Network Trained by Levenberg-Marquardt Algorithm by Jitu Prakash Dhar, Maodudul Hasan, Eisuke Nishiyama, Ichihiko Toyoda

“…This study proposes an efficient Artificial Neural Network (ANN) model for predicting the dimensions and feed point of microstrip patch antennas with three types of geometrical shape. …”
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Detección y diagnóstico de fallas en motores mediante el análisis de vibraciones aplicando técnicas de inteligencia artificial. by Jair Elías Araujo Vargas, Dilan Yesid Franklin Coronel, Victor Manuel Arias Ruiz

“…In this specific task, indicators such as the precision, sensitivity and specificity of the algorithms or aspects such as vibration signal conditioning techniques, extraction methods, selection of key features, training of artificial intelligence models, neural networks and support vector machines were taken into account. …”
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Motor Bearing Failure Identification Using Multiple Long Short-Term Memory Training Strategies by Youcef ATMANI, Ammar Mesloub, Said Rechak

“…Approaches based on using Deep Learning methods have been the most coveted in recent years. Among a variety of models, the type of architecture known as Long-Short-Term Memory (LSTM) of Recurrent Neural Network (RNN) has both the ability to capture long-term dependencies and to adapt to sequential data modeling. …”
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A Study on Tool Breakage Detection Technology Based on Current Sensing and Non-Contact Signal Analysis by Chia-Hung Lai, Sih-Hao Huang, Ting-En Wu, Chia-Chun Lai

“…Additionally, deep learning models including ANN, DNN, and CNN were compared for automated detection performance. …”
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Machine learning algorithms to predict the tensile strength of novel composite materials by S. Sathees Kumar, P. Shyamala, Pravat Ranjan Pati

“…Random forest delivered the highest performance (R² = 0.92, mean absolute error (MAE) = 1.64), outperforming conventional and ensemble models. …”
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Signatures and Mechanism Analysis of Converter-Grid Subsynchronous Oscillations by Alisher Askarov, Yuly Bay, Ruslan Ufa, Pavel Radko, Pavel Ilyushin, Aleksey Suvorov

“…Taking into account the importance of studying such oscillations for effective mitigation and the existing gaps in understanding the mechanisms of SSO occurrence due to different combinations of used controllers in the inverter control system, as well as the grid parameters, a frequency analysis of simplified grid inverter models is performed. As a result, five different mechanisms of SSO occurrence, the affecting factors and the level of inverter model detail required for the adequate study of SSO are justified. …”
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Estimation of aboveground biomass in Tajikistan based on upscaling extrapolation of UAV and Sentinel-2 multi-source data synergy by Lina Hao, Huping Ye, Shuang He, Xinyu Zhang, Dalai Bayin, Mustafo Safarov, Mekhrovar Okhonniyozov, Xiaohan Liao

“…We find that: (1) At the UAV scale, the Extra Trees model achieves the highest accuracy (R2 = 0.88, RMSE = 52.72 g ·m−2), whereas at the Sentinel-2 scale, the Support Vector Machine (SVM) model performs best (R2 = 0.80, RMSE = 158.43 g ·m−2); (2) Texture features are the most crucial features for grassland AGB estimation; (3) The scale-up method improves the accuracy of Sentinel-2-derived AGB estimations, enabling more detailed spatial representation of AGB distribution. …”
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HybridBranchNetV2: Towards reliable artificial intelligence in image classification using reinforcement learning. by Ebrahim Parcham, Mansoor Fateh, Vahid Abolghasemi

“…The proposed framework demonstrates significant improvements in adaptability, performance, and computational efficiency, addressing critical limitations in current AI models.…”
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Application of gesture recognition based on domain transfer learning and SimSiam network in education management by Xiaoxu He

“…This approach aims to enhance the model’s gesture recognition performance between different users, thus significantly improving the accuracy of cross-user gesture recognition systems. …”
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