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

“…The overall model explains a significant portion of the variance in perceived use behavior (R² = 0.476), with a good fit (Adjusted R² = 0.462). The standard error of the estimate is 0.618. The study recommends financial institutions to provide user-friendly guides, customer support, and tools to enhance facilitating conditions and remove any barriers to usage. …”
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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

“…The consistency of the two software is assessed using paired-sample t-tests and Bland-Altman plots. The error classification effect is used to construct the receiver operating characteristic curve. …”
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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

“…The evaluation was performed on both temporal and spatial scales, employing statistical indicators such as correlation coefficients, bias, and root mean square error (RMSE). New hydrological insights for the region: This study provides critical new insights into the hydrology of the region, particularly in understanding the limitations of existing datasets in mountainous areas. …”
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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

“…Our software digitizes checkbox data with greater than 99% accuracy and digitizes blood pressure data with a mean average error of 1.0 and 1.36 mmHg for systolic and diastolic blood pressure respectively. …”
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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

“…The U-Net model, which is well developed, stands out with its low error and small file size. The dense network is appropriate for direct parametric analyses, while the image-based U-Net model provides a rapid and scalable option to utilize the cold flow CFD images. …”
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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

“…Results The neural network model outperformed traditional interpolation techniques, achieving a 47% reduction in Root Mean Square Error (RMSE), and a 0.56 increase in R2 compared to the best-performing IDW variant (RS-IDW). …”
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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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Comparing supervised classification algorithm–feature combinations for Spartina alterniflora extraction: a case study in Zhanjiang, China by Qiujie Chen, Qiujie Chen, Chunyan Shen, Hong Du, Danling Tang

“…RF showed superior adaptability across different feature scenarios, resulting in stable accuracy and minimal area error. According to visual interpretation, the area of S. alterniflora increased by 3.35 ha over a 5-year period, indicating a growth rate of 5.13%. …”
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Hourly surface nitrogen dioxide retrieval from GEMS tropospheric vertical column densities: benefit of using time-contiguous input features for machine learning models by J. Gödeke, A. Richter, K. Lange, P. Maaß, H. Hong, H. Lee, J. Park

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Performance Enhancement of OFDM-Based Hybrid Multiplexed Ro-FSO System Under Complex Rain Conditions by Shivaji Sinha, Chakresh Kumar, Ghanendra Kumar, Mehtab Singh

“…We perform the SNR, bit error rate (BER), link transmission range, and eye diagram comparative analysis for the decomposed and composite transmitted HG modes at the detector end. …”
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