Federated-Learning-Based Strategy for Enhancing Orbit Prediction of Satellites by Jiayi Tang, Wenxin Li, Qinchen Zhao, Hongmei Chi

“…The server optimizes the global model through the Federated Averaging algorithm, learning more orbital patterns and enhancing accuracy. Experimental results confirm the method’s effectiveness, with a marked increase in prediction accuracy compared to traditional methods, validating federated learning’s advantage. …”
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ADVANCED NEURAL NETWORKS AND DEEP LEARNING TECHNIQUES IN FINANCIAL MARKET PREDICTION by ENE CEZAR CATALIN

“…ANN and DL have significantly reshaped financial analysis due to their capacity to identify complex patterns and improve market predictions. Mimicking the computational structure of the human brain, ANN processes interconnected data points enabling efficient analysis and forecasting. …”
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Enhanced Wind Energy Forecasting Using an Extended Long Short-Term Memory Model by Zachary Barbre, Gang Li

“…The xLSTM model incorporates two key innovations: exponential gating with memory mixing and a novel matrix memory structure. …”
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A Comparative Evaluation of Transformers and Deep Learning Models for Arabic Meter Classification by A. M. Mutawa, Sai Sruthi

“…Arabic poetry follows intricate rhythmic patterns known as ‘arūḍ’ (prosody), which makes its automated categorization particularly challenging. …”
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Sentiment Analysis and Trend Mapping of Hotel Reviews Using LSTM and GRU by Yerik Afrianto Singgalen

“…This study explores applying Long Short-Term Memory (LSTM) and Gated Recurrent Unit (GRU) models for sentiment analysis and trend mapping of hotel reviews, specifically focusing on customer feedback from Hotel Vila Ombak in Lombok, Indonesia. …”
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Stacked LSTM for Short-Term Wind Power Forecasting Using Multivariate Time Series Data by Manisha Galphade, V. B. Nikam, Biplab Banerjee, Arvind W. Kiwelekar, Priyanka Sharma

“…The comparison between the proposed Stacked LSTM model and other methods including vector autoregressive (VAR), Multiple Linear Regression, Gated Recurrent Unit (GRU) and Bidirectional LSTM (BiLSTM) has been experimented on two datasets. …”
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Multisource Data Fusion With Graph Convolutional Neural Networks for Node-Level Traffic Flow Prediction by Lei Huang, Jianxin Qin, Tao Wu

“…In addition, a GCN combined with gated recurrent units (GRUs) is proposed for spatiotemporal modeling of data fusion and traffic flow prediction. …”
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Phase Wise Classification of Abnormal Gait in Children With Cerebral Palsy Using Hybrid Neural TEMPODE Deep Learning Techniques by Yelle Kavya, S.Sofana Reka

“…The neurological condition known as Cerebral Palsy which affects motor control, frequently results in abnormal gait patterns that have a major negative influence on mobility and quality of life. …”
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DFANet: A Deep Feature Attention Network for Building Change Detection in Remote Sensing Imagery by Peigeng Lu, Haiyong Ding, Xiang Tian

“…Second, we introduce a GatedConv module to improve the network’s capability for building edge detection. …”
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A Low-Power Streaming Speech Enhancement Accelerator for Edge Devices by Ci-Hao Wu, Tian-Sheuan Chang

“…Using the TSMC 40nm CMOS process, the final implementation requires merely 207.8K gates and 53.75KB SRAM. It consumes only 8.08 mW for real-time inference at a 62.5MHz frequency.…”
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High‐Throughput Proteoform Imaging for Revealing Spatial‐Resolved Changes in Brain Tissues Associated with Alzheimer's Disease by Yue Sun, Dan Liu, Yu Liang, Xue Yang, Xinxin Liu, Baofeng Zhao, Zhen Liang, Yukui Zhang, Lihua Zhang

“…The obtained proteoform images reveals differential expression of individual proteoforms across the brain regions, and distinct spatial distribution patterns of various proteoforms generated from a single gene. …”
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Catheter-associated Urinary Tract Infections in a trauma care facility in India: trend over ten years by Aparna Ningombam, Arpan Kumar Thakur, Ashish Kumar Srivastava, Sharin Varma, Madhavi Kirti, M. Nizam Ahmed, Vanlal Tluanpuii, Kapil Dev Soni, Richa Aggarwal, Gyanendra Pal Singh, Ashish Bindra, Navdeep Sokhal, Keshav Goyal, Kamran Farooque, Purva Mathur

“…This study focuses on the profile of CAUTI, the organism profile with antibiotic susceptibility patterns, and the clinical outcomes in the ICUs of a trauma care center. …”
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Wastewater-based epidemiology of influenza A virus in Shenzhen: baseline values and implications for multi-pathogen surveillance by Xiuyuan Shi, Shisong Fang, Chen Du, Guixian Luo, Yanpeng Cheng, Zhen Zhang, Qiuying Lv, Xin Wang, Zhigao Chen, Bincai Wei, Ziqi Wu, Bingchan Guo, Panpan Yang, Miaomiao Luo, Weihua Wu, Liping Zhou, Ting Huang, Xuan Zou, Xiaolu Shi, Songzhe Fu, Zhanwei Du, Xinxin Han, Yinghui Li, Qinghua Hu

“…Influenza A virus (IAV) has become increasingly unpredictable in its seasonal patterns following the COVID-19 pandemic. A key challenge remains identifying optimal moments for public health interventions to inform evidence-based decisions. …”
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A Multinational Cohort Study of Dialysis Initiation During Pregnancy by Jennifer H. Yo, Alejandra Orozco-Guillén, Dominique S. Genest, Giorgina B. Piccoli, Gianfranca Cabiddu, Rossella Attini, Tiina Podymow, Margarita Ibarra-Hernandez, Kate Wiles, Kate Bramham, Shilpanjali Jesudason, Michelle A. Hladunewich

“…Our study aimed to examine dialysis initiation patterns in pregnancy, describe adverse pregnancy outcomes in women with advanced chronic kidney disease (CKD), and assess the impact of dialysis hours on these outcomes. …”
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Dental Practitioners’ Knowledge and Attitudes Toward the Etiology, Diagnosis, and Treatment of Peri-Implantitis by Osama Zakaria, Afsheen Tabassum, Dina Attia, Turki Alshehri, Danya A. Alanazi, Jana Alshehri, Sami Alshehri, Aditi Chopra, Marwa Madi

“…<b>Results:</b> A total of 303 dentists participated in this study with a 78.8% response rate, comprising 80% general dentists and 20% specialists. …”
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Effects of licorice extract on Paraclostridium bifermentans spore growth and quality changes in ready-to-eat chicken breast during storage by Jichao Huang, Zimu Li, Mengmeng Song, Yang Lei, Kairan Sheng, Tianran Huang, Kaichen Zhang, Ming Huang

“…Furthermore, the Gompertz and Logistic models demonstrated a strong fit (R² &gt; 0.98) with the growth patterns of P. bifermentans spores at 15, 20, and 25 °C. …”
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Effect of Renal and Left Ventricular Function on Serial Pulmonary Arterial Pressure Changes after Device Closure of Atrial Septal Defect by Chul Shin, Young Won Yoon, In-Soo Kim, Jong-Youn Kim, Pil-Ki Min, Byoung Kwon Lee, Bum-Kee Hong, Se-Joong Rim, Hyuck Moon Kwon, Eui-Young Choi

“…This study aimed to examine patterns and determinants of serial pulmonary arterial pressure and left ventricular filling pressure changes after device closure of ASD. …”
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Multi-modal remote sensory learning for multi-objects over autonomous devices by Aysha Naseer, Naif Almudawi, Hanan Aljuaid, Abdulwahab Alazeb, Yahay AlQahtani, Asaad Algarni, Ahmad Jalal, Ahmad Jalal, Hui Liu, Hui Liu, Hui Liu

“…The assessment findings show a remarkable recognition rate of around 97.90% and 98.90%, on the AID and the UC Merced Land datasets, respectively.…”
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Immune-related adverse events of neoadjuvant immunotherapy in patients with perioperative cancer: a machine-learning-driven, decade-long informatics investigation by Yuan Meng, Rong Hu, Song-Bin Guo, Deng-Yao Liu, Zhen-Zhong Zhou, Hai-Long Li, Wei-Juan Huang, Xiao-Peng Tian

“…During the past decade, the amount of research in the field of NAI safety has displayed a positive trend (annual growth rate: 30.2%), and it has achieved good global collaboration (international coauthorship: 17.43%). …”
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Lipidomic analyses reveal the dysregulation of oxidized fatty acids (OxFAs) and acyl-carnitines (CARs) in major depressive disorder: a case-control study by Lei He, Na Duan, Chong Wang, Ru Shan, Jing Li, Lin Wang, Qiuli Liu, Junwei Tao, Li Liu, Xiaoliang Ma, Bing Cao

“…Results Based on the filtering criteria of false discovery rate (FDR) -adjusted P < 0.05, variable importance in projection (VIP) > 1.5, and fold change (FC) > 2.0 or < 0.5, a total of 40 lipids were identified as significantly different. …”
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