Advanced artificial intelligence with federated learning framework for privacy-preserving cyberthreat detection in IoT-assisted sustainable smart cities by Mahmoud Ragab, Ehab Bahaudien Ashary, Bandar M. Alghamdi, Rania Aboalela, Naif Alsaadi, Louai A. Maghrabi, Khalid H. Allehaibi

“…Eventually, the walrus optimization algorithm (WOA) is used for hyperparameter tuning to improve the parameters of the SSAE approach and achieve optimal performance. …”
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Climate change impact on the distribution and priority areas for conservation of Sterculia setigera Delile in Benin, West Africa by Rissicath Foumilayo Djaboutou, Séverin Biaou, Gérard Nounagnon Gouwakinnou, Christine A. I. Nougbodé Ouinsavi

“…To address these questions, we subjected each subgroup to species distribution modeling (SDM) using the maximum entropy algorithm (MaxEnt). This approach was applied under Shared Socioeconomic Pathways (SSP 2–4.5) and SSP 5–8.5 climate scenarios. …”
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Miniinvasive paracentetic drain surgical interventions under ultrasonic control concerning liquid formations of abdominal cavity by G.I. Ohrimenko, N.G. Golovko, V.A. Grushka, Y.I. Gaidarzhi

“…Empiric antibacterial therapy in case of liver abscess before the result of bacterial analysis, must be based on the use of wide spectrum antibiotics, mainly carbapenems and cephalosporin of IV generation.…”
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Application of Enhanced Weighted Least Squares with Dark Background Image Fusion for Inhomogeneity Noise Removal in Brain Tumor Hyperspectral Images by Jiayue Yan, Chenglong Tao, Yuan Wang, Jian Du, Meijie Qi, Zhoufeng Zhang, Bingliang Hu

“…The inhomogeneity of spectral pixel response is an unavoidable phenomenon in hyperspectral imaging, which is mainly manifested by the existence of inhomogeneity banding noise in the acquired hyperspectral data. …”
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Integrating Bulk RNA and Single-Cell Sequencing Data Reveals Genes Related to Energy Metabolism and Efferocytosis in Lumbar Disc Herniation by Lianjun Yang, Jinxiang Li, Zhifei Cui, Lihua Huang, Tao Chen, Xiang Liu, Hai Lu

“…The functions of the hub genes were validated by RT-qPCR. The CIBERSORT algorithm was used to compare immune infiltration between LDH and Control groups. …”
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Design and Implementation of Non-Invasive Hemodynamic Monitoring System Based on Impedance Cardiogram Method by Fuhao KANG, Qi YIN, Yanan LIU, Lin HUANG, Yan HANG, Jilun YE, Xu ZHANG

“…This paper designs a non-invasive hemodynamic monitoring system based on the impedance cardiography, including hardware, algorithm, software design, and performance parameter evaluation. …”
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Digital literacy curriculum transformation to overcome filter bubble in Pancasila character understanding by A. Achdyat, Dasim Budimansyah, Encep Syarif Nurdin, Mupid Hidayat

“…The results show that the bubble filter phenomenon on social media affects the way individuals access and understand information, mainly because algorithms tend to present content that matches personal preferences, thus limiting exposure to alternative perspectives. …”
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Hybrid machine learning and regression framework for automated phase classification and quantification in SEM images of commercial steels by Pavan Hiremath, Krishnamurthy D. Ambiger, Shilpa Suresh, Ranjan Kumar Ghadai, Ramakrishna Vikas Sadanand, G. Divya Deepak

“…Images were segmented using the SLIC algorithm into 64 × 64 patches, from which six Gray Level Co-occurrence Matrix (GLCM) features were extracted: contrast, correlation, energy, homogeneity, dissimilarity, and angular second moment (ASM). …”
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Identification and validation of hub genes associated with biotic and abiotic stresses by modular gene co-expression analysis in Oryza sativa L. by Izreen Izzati Razalli, Muhammad-Redha Abdullah-Zawawi, Rabiatul Adawiah Zainal Abidin, Sarahani Harun, Muhamad Hafiz Che Othman, Ismanizan Ismail, Zamri Zainal

“…For the tungro virus and blast pathogen, enrichment was mainly observed in the defence and stress responses. …”
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Real-World Parkinson’s Hand Tremor Detection Using Ensemble Learning Techniques by Sungwook Hur, Jieming Zhang, Moon-Hyun Kim, Tai-Myoung Chung

“…Conventional tremor detection methods have mainly focused on resting state. However, resting tremor is not always sufficient to accurately distinguish PD tremor from other tremor disorders such as essential tremor. …”
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Electric Power Consumption Forecasting Models and Spatio-Temporal Dynamic Analysis of China’s Mega-City Agglomerations Based on Low-Light Remote Sensing Imagery Incorporating Socia... by Cuiting Li, Dongmei Yan, Shuo Chen, Jun Yan, Wanrong Wu, Xiaowei Wang

“…Utilizing 2017–2021 NPP/VIIRS low-light remote sensing imagery to extract total nighttime light data, this study proposed an EPC prediction method based on the K-Means clustering algorithm combined with multiple indicators integrated with socio-economic factors. …”
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Cross-Project Defect Prediction Using Transfer Learning with Long Short-Term Memory Networks by Hongwei Tao, Lianyou Fu, Qiaoling Cao, Xiaoxu Niu, Haoran Chen, Songtao Shang, Yang Xian

“…The classic CPDP methods mainly concentrated on applying metric features to predict defects. …”
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On the electron agyrotropy during rapid asymmetric magnetic island coalescence in presence of a guide field by E. Cazzola, M. E. Innocenti, M. V. Goldman, D. L. Newman, S. Markidis, G. Lapenta

“…In a previous study, three main domains were identified, in the case without guide field, as X, D, and M regions featuring different reconnection evolutions. …”
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Prognostic model identification of ribosome biogenesis-related genes in pancreatic cancer based on multiple machine learning analyses by Yuan Sun, Yan Li, Anlan Zhang, Tao Hu, Ming Li

“…Enhanced ribosome biogenesis may be associated with tumor drug resistance and malignant phenotypes, representing a potential therapeutic target in pancreatic cancer. …”
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Utilizing Artificial Intelligence for Adaptive Scenario Development in Interprofessional Education by Hatice Şahin, Aysel Baser

“…However, AI-generated content may lack the emotional depth and ethical nuance essential to interprofessional collaboration. …”
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Sharing Accountability of Versatile AI Systems: The Role of Developers and Practitioners by Changhyun Lee, Hun Yeong Kwon, Kyung Jin Cha

“…Traditionally, developers bear the responsibility for auditing and modifying algorithms. How-ever, in the evolving landscape of versatile AI, developers may lack contextual understanding across diverse fields. …”
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Learning-Based Image Restorations of Sparse-View CT Data: Is It Reliable? by Philip Maurice Trapp, Elias Eulig, Joscha Maier, Frederic Ballach, Raoul Christoph, Ralf Christoph, Marc Kachelrieß

“…This work shows by means of restorations of sparse-view CT data that such methods must be evaluated thoroughly and in a task-specific manner, as details of the workpiece may not be exactly reconstructed. In addition, this work examines the influence of these methods on metrological specification measurements of CTs and the conclusions that can be drawn with regard to the objective specification of such algorithms.  …”
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A Systematic Literature Review on the Application of Machine Learning for Predicting Stunting Prevalence in Indonesia (2020–2024) by Emilda Indrisari, Hidayat Febiansyah, Bambang Adiwinoto

“…The analysis focused on the algorithms used, data types, model performance, and implementation challenges. …”
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Data acquisition of exercise and fitness pressure measurement based on artificial intelligence technology by Ru Liu, Wenxi Shen

“…The IPM-EFPM system gathers data from wearable sensors, uses real-time location systems, and employs artificial intelligence's Long Short-Term Memory (LSTM) and machine learning algorithms to uncover new insights in healthcare and sports. …”
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Impulse Noise Parameter Assessment in a Batch Radio Channel by A. Yu. Bekkiev, V. A. Makoviy

“…Formulas that allow synthesizing the device operation algorithms are obtained. The structure chart of the measurer is developed; the algorithms used to assess measured parameters are given.…”
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