A robust adaptive meta-sample generation method for few-shot time series prediction by Chao Zhang, Defu Jiang, Kanghui Jiang, Jialin Yang, Yan Han, Ling Zhu, Libo Tao

“…Abstract The research and exploration of time series prediction (TSP) have attracted much attention recently. …”
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Joint Sparse Local Linear Discriminant Analysis for Feature Dimensionality Reduction of Hyperspectral Images by Cong-Yin Cao, Meng-Ting Li, Yang-Jun Deng, Longfei Ren, Yi Liu, Xing-Hui Zhu

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La lex mercatoria en el espejo de la investigación empírica by Wioletta Konradi, Héctor Fix-Fierro

“… * Nota: Debido que la traducción es automática podrá ser inexacta o contener errores. …”
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INTERNET BANKING AND ADOPTION OF STUDENTS: A CASE OF NATIONAL OPEN UNIVERSITY OF NIGERIA, MAIDUGURI STUDY CENTRE by MUHAMMAD AJID BUKAR, HARUN BAKARI RANN, ABUBAKAR HASSAN

“…Furthermore, most of the research focuses on specific aspects, such as security or usability, without integrating a holistic view encompassing performance expectancy, effort expectancy, social influence, facilitating conditions, behavioral intention, and actual usage behavior. …”
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Exploring Machine Learning's Potential for Estimating High Resolution Daily Snow Depth in Western Himalaya Using Passive Microwave Remote Sensing Data Sets by Srinivasarao Tanniru, Dhiraj Kumar Singh, Kamal Kant Singh, RAAJ Ramsankaran

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CT coronary fractional flow reserve based on artificial intelligence using different software: a repeatability study by Jing Li, Zhenxing Yang, Zhenting Sun, Lei Zhao, Aishi Liu, Xing Wang, Qiyu Jin, Guoyu Zhang

“…Methods 103 participants were chosen for a prospective research using coronary computed tomography angiography (CCTA) assessment. …”
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Evaluation of the performance of ERA5, ERA5-Land and MERRA-2 reanalysis to estimate snow depth over a mountainous semi-arid region in Iran by Faezehsadat Majidi, Samaneh Sabetghadam, Maryam Gharaylou, Reza Rezaian

“…Additionally, the study highlights the challenges MERRA-2 faces in capturing snow depth in mountainous regions. Future research could benefit from integrating additional datasets and employing machine learning algorithms to improve snow depth assessments, as these approaches may reduce estimation uncertainties and enhance the understanding of snow dynamics across various regions, ultimately contributing to more reliable hydrological assessments.…”
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Computer vision digitization of smartphone images of anesthesia paper health records from low-middle income countries by Ryan D. Folks, Bhiken I. Naik, Donald E. Brown, Marcel E. Durieux

“…The lack of real time accessible digital data limits healthcare providers, researchers, and quality improvement champions to leverage data to improve patient outcomes. …”
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Indoor High Precision Three-Dimensional Positioning System Based on Visible Light Communication Using Particle Swarm Optimization by Ye Cai, Weipeng Guan, Yuxiang Wu, Canyu Xie, Yirong Chen, Liangtao Fang

“…Recently, visible light communication (VLC) has gradually become a research hotspot in indoor environments because its advantages of illumination and relative high positioning accuracy. …”
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Reduced-Complexity and Robust Surface Water Path Delineation for Large Real-World Terrain Using Boundary Element Method by Ajalawit Chantaveerod, Kampol Woradit, Andrew Seagar, Thunyawat Limpiti

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Mechanistic and kinetic modeling of cadmium and lead phytoextraction by Madagascar Periwinkle [Catharanthus roseus (L.) G.Don] in battery waste contaminated soil by Arwa A. AL-Huqail, Madhumita Goala, Ashish Kumar Arya, Pankaj Kumar, Deep Gupta, Sudhir Kumar Gaur, Ivan Širić

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UV spectrophotometry of the Metronidazole by O. I. Panasenko, , N. V. Donchenko, A. S. Hotsulya

“…The purpose of this research was to study the UV spectrum of Metronidazole in different polarity solvents (water, 95 % ethanol, 0,1 M sodium hydroxide, 0,1 M hydrochloric acid and 5 M sulfuric acid solution), to establish the relationship between chemical structure of the analyzed compounds and the nature of their electronic spectrum. …”
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Prediction of Temperature Distribution with Deep Learning Approaches for SM1 Flame Configuration by Gökhan Deveci, Özgün Yücel, Ali Bahadır Olcay

“…This framework can be further refined in future research to estimate more flow factors and tested against experimental measurements for enhanced applicability.…”
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Reducing power ripple for multi-rotor wind energy systems using FOPDPI controllers by Habib Benbouhenni, Ilhami Colak, Z. M. S. Elbarbary, Shaik Mohammad Irshad

“…Numerical results demonstrated the efficacy of the designed technique over the DPC-PI approach, as the steady-state error and active power ripples were minimized in the first test by rates estimated at 44.72% and 46.67%, respectively. …”
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Isotopic signature of precipitation in the Elbrus region by Ju. N. Chizhova, V. N. Mikhalenko, S. S. Kutuzov, K. A. Shukurov, A. V. Kozachek

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Innovative approach for gauge-based QPE in arid climates: comparing neural networks and traditional methods by Bayan Banimfreg, Ernesto Damiani, Vesta Afzali Gorooh, Duncan Axisa, Luca Delle Monache, Youssef Wehbe

“…This study investigates rainfall variability from 2003 to 2021, emphasizing the integration of machine learning to enhance the accuracy of Quantitative Precipitation Estimation (QPE). Methods This research utilizes extensive rainfall records from gauges and ERA5 climate data, processed at high temporal resolution across 19 years. …”
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Modeling soil heat flux from MODIS products for arid regions by Fahime Arabi Aliabad, Ebrahim Ghaderpour

“…The results show that the root mean square error in M1 is 12.48 W/m2 while in M2 is 7.61 W/m2. …”
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Revolutionizing proton exchange membrane fuel cell modeling through hybrid aquila optimizer and arithmetic algorithm optimization by Manish Kumar Singla, S. A. Muhammed Ali, Ramesh Kumar, Pradeep Jangir, Mohammad Khishe, G. Gulothungan, Haitham A. Mahmoud

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Improving resilience of energy nexus across demand sectors: Strengthening cybersecurity in water cycle and energy networks through data reconstruction using a novel hybrid reinforc... by Daryoush Tavangar Rizi, Mohammad Hassan Nazari, Seyed Hossein Hosseinian

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FINITE ELEMENT ANALYSIS AND TOPOLOGY OPTIMIZATION OF FABA BEAN METERING PLATES by Tarek FOUDA, Abeer ABDELSALAM, Atef SWILAM, Mohamed El DIDAMONY

“…The main objective of this research study is the use of 3D printing to manufacture of a metering plates with different materials and slots shapes for the planting of faba beans. …”
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