Short-Term Traffic Prediction considering Spatial-Temporal Characteristics of Freeway Flow by Jiaqi Wang, Yingying Ma, Xianling Yang, Teng Li, Haoxi Wei

“…Second, the hybrid model constructed by long short-term memory and K-nearest neighbor (LSTM-KNN) algorithm using transformed grey wolf optimization is discussed. Parallel computing is used in this part to reduce complexity. …”
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Hybrid Text Embedding and Evolutionary Algorithm Approach for Topic Clustering in Online Discussion Forums by Ibrahim Bouabdallaoui, Fatima Guerouate, Mohammed Sbihi

“…The proposed technique begins with a preprocessing stage to clean and tokenize textual data, which is then transformed into a vector representation using the hybrid text embedding method. …”
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A Game Model and Fault Recovery Algorithm for SDN Multi-Domain by Tao Xu, Chen Chen, Kaiming Hu, Yi Zhuang

“…The issue of mapping the out-of-control switches within the controller game domain to the target controller is transformed into a linear programming problem for solution. …”
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Sustained release biodegradable solid lipid microparticles: Formulation, evaluation and statistical optimization by response surface methodology by Hanif Muhammad, Khan Hafeez Ullah, Afzal Samina, Mahmood Asif, Maheen Safirah, Afzal Khurram, Iqbal Nabila, Andleeb Mehwish, Abbas Nazar

“…SLMs having a 10-40 μm size range, with good rheological behavior and spherical smooth surfaces, were produced. Fourier transform infrared spectroscopy, differential scanning calorimetry and X-ray diffractometry pointed to compatibility between formulation components and the zeta-potential study confirmed better stability due to the presence of negative charge (-20 to -40 mV). …”
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The role of artificial intelligence in aortic valve stenosis: a bibliometric analysis by Shanshan Chen, Shanshan Chen, Changde Wu, Zhaojie Zhang, Lingjuan Liu, Yike Zhu, Dingji Hu, Chenhui Jin, Haoya Fu, Jing Wu, Songqiao Liu, Songqiao Liu, Songqiao Liu

“…Key research hotspots include machine learning applications in diagnostics and personalized treatment strategies.ConclusionsAI is playing a transformative role in the diagnosis and treatment of AVS, improving accuracy and personalizing therapeutic approaches. …”
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TGF-β1 Induces the Dual Regulation of Hepatic Progenitor Cells with Both Anti- and Proliver Fibrosis by Ai-Ting Yang, Dou-Dou Hu, Ping Wang, Min Cong, Tian-Hui Liu, Dong Zhang, Ya-Meng Sun, Wen-Shan Zhao, Ji-Dong Jia, Hong You

“…Transforming growth factor-beta 1 (TGF-β1) plays a central role in hepatic progenitor cells- (HPCs-) mediated liver repair and fibrosis. …”
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Predictive Modeling of Total Real and Reactive Power Losses in Contingency Systems Using Function-Fitting Neural Networks with Graphical User Interface by Alfredo Bonini Neto, Alexandre de Queiroz, Giovana Gonçalves da Silva, André Gifalli, André Nunes de Souza, Enio Garbelini

“…Technical power losses in power systems are unavoidable, caused by factors such as transformer impedance, conductor resistance, equipment inefficiencies, line reactance, and phase imbalances. …”
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Performance of Polyvinyl Alcohol and Polypropylene Fibers under Simulated Cementitious Composites Pore Solution by A. R. Krishnaraja, P. Kulanthaivel, P. Ramshankar, Vincent Herald Wilson, Ponnusamy Palanisamy, S. Vivek, V. Sampathkumar, P. Ganeshan, M. C. Sashikkumar, K. Raja, Senthil Kumaran Selvaraj, A. John Rajan, S. Jose

“…The thermal properties of raw and SPS-dipped fibers are fetched out by performing various tests such as Fourier transform infrared (FTIR) analysis, thermo gravimetric analysis (TGA), differential scanning calorimetry analysis, and scanning electron microscopy (SEM). …”
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Structural and antibacterial properties of AgFe2O4 and Fe3O4 nanoparticles, and their nanocomposites by Azam Hashemi, Hadis Tavafi, Mahmoud Naseri, Hossein Mojtabazadeh, Mina Abedi, Narges Tork

“…The degree of crystallinity, phase composition, microstructure, and the compositions of the samples were determined using X-ray diffraction (XRD), Fourier transform infrared (FT-IR) spectroscopy, field emission scanning electron microscopy (FESEM), and energy dispersive X-ray analysis (EDXA), respectively. …”
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Machine-Learning-Powered Information Systems: A Systematic Literature Review for Developing Multi-Objective Healthcare Management by Maryam Bagheri, Mohsen Bagheritabar, Sohila Alizadeh, Mohammad (Sam) Salemizadeh Parizi, Parisa Matoufinia, Yang Luo

“…The incorporation of machine learning (ML) into healthcare information systems (IS) has transformed multi-objective healthcare management by improving patient monitoring, diagnostic accuracy, and treatment optimization. …”
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Fabrication and characterisation of super‐paramagnetic responsive PLGA–gelatine–magnetite scaffolds with the unidirectional porous structure: a physicochemical, mechanical, and in... by Farnaz Ghorbani, Ali Zamanian, Alireza Shams, Atefeh Shamoosi, Amir Aidun

“…The synthesised MNPs were characterised by transmission electron microscopy, Fourier transform infrared spectroscopy, X‐ray diffraction spectroscopy, and vibrating sample magnetometer analysis. …”
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Diagnosing Intraductal Papillary Mucinous Neoplasm of the Bile Duct with Computed Tomography: A Clinical Case Analysis by Xinzheng WANG, Jinzhi FANG, Dafei YU, Jianbing ZENG, Yuzhong ZHANG, Linning E

“…Interestingly, one patient with IPMN-B underwent follow-up examinations over four years, demonstrating gradual enlargement and malignant transformation of the lesion. None of the three cases showed lymph node enlargement around the liver or retroperitoneum. …”
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Psychosocial and mental health in cystic fibrosis in the modern era of care: time to evolve by Beth Smith, Tonia A Douglas, Alexandra L Quittner, Anna M Georgiopoulos, Maggie Harrigan

“…The advent of CF transmembrane conductance regulator modulator therapies is transforming the psychosocial landscape for PWCF with new challenges and evolving psychosocial needs. …”
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A Programmable Look-Up Table-Based Interpolator with Nonuniform Sampling Scheme by Élvio Carlos Dutra e Silva Júnior, Leandro Soares Indrusiak, Weiler Alves Finamore, Manfred Glesner

“…As a result of the proposed method, the interpolation of a specific transformation function on a Gaussian noise generator reduced the memory usage to 2.71% when compared to the traditional uniform sampling scheme method, while keeping the approximation error below a threshold equal to 0.000030518.…”
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A self-optimized alloy with multi-scale hierarchical microstructure and enhanced mechanical properties by Yu Yin, Hansheng Chen, Guanyu Deng, Lihong Su, Wenxuan Wu, Ming Yan, Yangping Dong, Xin Xu, Zhikai Deng, Qiyang Tan, Haiwei Chang, Chuan Guo, Huijun Li, Simon Ringer, Han Huang, Mingxing Zhang

“…Recent years have witnessed a transformative shift with the advent of high entropy alloys (HEAs), liberating the constraints on the composition of high-strength alloys. …”
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Multi‐Wound Classification: Exploring Image Enhancement and Deep Learning Techniques by Prince Odame, Maxwell Mawube Ahiamadzor, Nana Kwaku Baah Derkyi, Kofi Agyekum Boateng, Kelvin Sarfo‐Acheampong, Eric Tutu Tchao, Andrew Selasi Agbemenu, Henry Nunoo‐Mensah, Dorothy Araba Yakoba Agyapong, Jerry John Kponyo

“…The approaches used included Contrast Limited Adaptive Histogram Equalization (CLAHE) with machine and deep learning models, Discrete Wavelet Transformations (DWT) with a novel Gated Wavelet Convolutional Neural Network (CNN) model, and FixCaps, an improved version of Capsule Networks utilizing Convolutional Block Attention Module (CBAM) to reduce spatial information loss. …”
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THE IMPACT OF PERSONAL INNOVATIVENESS ON THE BEHAVIORAL INTENTION TO USING TOURISM MOBILE APPLICATIONS OF GENERATION Z IN HO CHI MINH CITY, VIETNAM by Nguyen Thi Bich DAO, Do Nguyen Tuan ANH

“…The advancement of technology has significantly transformed various activities in human life, including tourism. …”
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Exploration of Use of Copulas in Analysing the Relationship between Precipitation and Meteorological Drought in Beijing, China by Linlin Fan, Hongrui Wang, Cheng Wang, Wenli Lai, Yong Zhao

“…The trends and variations in the SPEI were analysed using Hilbert-Huang Transform (HHT) and Mann-Kendall (MK) trend tests with a running approach. …”
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Combing role of MgO and Al2O3 on viscosity and its correlation to structure of fluorine-free mold fluxes by Wang H.-C., Bao G.-D., Sadaf S., Mao S.-S., Wu T.

“…By using FactSage calculations, Fourier transform infrared spectroscopy (FTIR), rotational viscometers, and X-ray diffraction (XRD), the combined effect of MgO and Al2O3 on fluorine-free mold flux was confirmed. …”
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MAL-Net: Model-Adaptive Learned Network for Slow-Time Ambiguity Function Shaping by Jun Wang, Xiangqing Xiao, Jinfeng Hu, Ziwei Zhao, Kai Zhong, Chaohai Li

“…By projecting onto the CCM, the problem is transformed into an unconstrained minimization problem that can be tackled using the CCM gradient descent model. …”
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