ASKSQL: Enabling cost-effective natural language to SQL conversion for enhanced analytics and search by Arpit Bajgoti, Rishik Gupta, Rinky Dwivedi

Get full text

Coffee plant disease identification with an attentive multi-image segmentation framework (MISF) with CycleGAN by Savitri Kulkarni, P. Deepa Shenoy, K.R. Venugopal

Get full text

Predicting Students’ Performance Using a Hybrid Machine Learning Approach by Ropafadzo Duwati, Tawanda Mudawarima

“…Learning institutions have amassed volumes of educational data from sources such as learning management systems and academic databases. …”
Get full text

PERANCANGAN SISTEM MONITORING EVACUATED TUBE SOLAR DRYER STUDI KASUS PROSES PENGERINGAN RUMPUT LAUT by Teguh Prasetyo, Ibnu Irawan

“…In contrast, the monitoring of seaweed mass data did not required the use of SMA method, since its application led to significant measurement deviation from the actual values.…”
Get full text

How to Make the Charging Simple, Convenient and Efficient by W. Cheng, Y. Wang

“…With the large-scale application of electric vehicles (EV) in the world and also in China, the contradiction between the EV and charging stations has become more and more prominent. …”
Get full text

Classification of Teleseismic Shear Wave Splitting Measurements: A Convolutional Neural Network Approach by Yanwei Zhang, Stephen S. Gao

“…The CNN was trained by human‐verified teleseismic SWS measurements and tested using synthetic SWS measurements. Application of the trained CNN to broadband seismic data recorded in south central Alaska reveals that CNN classifies 97.0% of human selected measurements as acceptable, and revealed ∼30% additional measurements. …”
Get full text

Bayesian Estimation for Zero-Truncated Bivariate Poisson Regression Model by Prapaporn Rerngchaiyaphum, Monthira Duangsaphon

“…Bivariate count data occurs when two associated variable counts necessitate joint estimate primarily for efficiency purposes. …”
Get full text

English-Latvian Dictionaries in the Age of Electronic Lexicography by Laura Karpinska

“…The dictionary applies some innovative features of contemporary electronic lexicography, but various improvements related to the presentation of some metalinguistic elements, unity of microstructure, diversity of search options, use of dictionary-internal and external links, application of corpus data and multimodality would be necessary to enhance its correspondence to the standards of contemporary electronic lexicography. …”
Get full text

Bayesian Inference for Spatial Beta Generalized Linear Mixed Models by L. Kalhori Nadrabadi, M. Mohhamadzadeh

“…Selected priors improved the Bayesian estimation of the parameters, especially for small sample sizes and small values of range parameter. Finally, an application of the proposed model on data provided by Household Income and Expenditure Survey (HIES) of Tehran city is presented.…”
Get full text

Design of EtherCAT Slave Station Communication System Based on ZYNQ Processor by LI Yi, WANG Chengjie, SHI Shiyou, FU Jianguo

“…This paper presents an EtherCAT slave station communication system scheme, which uses ZYNQ7000 as slave processor to realize the function of application layer, uses LAN9252 controller for data interaction between data link layer and physical layer to realize high real-time data communication, uses VxWorks real-time operating system constructed by ZYNQ7000 processor to process periodic slave data. …”
Get full text

Improving Access Trust in Healthcare Through Multimodal Deep Learning for Affective Computing by I. Sakthidevi, G. Fathima

Get full text

Physicochemical and functional assessment of messenger RNA 5′Cap-end impurities under forced degradation conditions by J. Hutchinson, F. Schweikart, R. Shannon, A. Murthy, S.M. Bates, S. Leone, T. Nissan, D. Sideris, C. Lal, J. Button, R. Rani, G. Thom, N. Bond, E. Örnskov, S. Trabulo

Get full text

Image Classification of Imbalanced Wood Microscope by Integrating Multi-source Features by Zhikang Tian, Na Zhang, Jiwei Wang, Liwei Sha, Hongping Liu, Li Zou

“…The proposed method reduces misclassification and addresses the imbalance problem in wood data. Besides, the method is validated on the microscopic cross-sectional images of 75 broad-leaved wood species, with an accuracy of 94.0%, indicating its potential for application in the classification of imbalanced wood data. …”
Get full text

A Novel Hybrid Sharing Economy Based Blokchain Model (Proof of Meet) by Selçuk Topal

“…The sharing economy model is one of the applications of the proposed blockchain model. The blockchain system called HOX is available to use very large area distributed ledger systems from a dynamic transportation system to dynamic big data. …”
Get full text

Dynamic token encryption for preventing permission leakage in serverless architectures by Yu Liu, Fu Li, Chenhao Sun

Get full text

Mining Interpretable Regional Co-location Patterns Based on Urban Functional Region Division by Yuqing Liu, Lizhen Wang, Peizhong Yang, Lihua Zhou

Get full text

dpVision: Environment for multimodal images by Dariusz Pojda, Mateusz Żarski, Agnieszka Anna Tomaka, Leszek Luchowski

“…The dpVision (data processing for vision) software framework offers a flexible, open source platform for implementing and testing various data and image processing algorithms. …”
Get full text

The Alliance of BIM and Artificial Intelligence: Challenges for a Reinvented Future – The State of the Art by Ellyssa Abdelmoula, Meriem Zammel, Najla Allani

“…A literature review was conducted to examine research published on the integration of BIM and AI, identifying key challenges, gaps and proposed solutions to improve interoperability, data security and workflow optimization. The study advocates the adoption of standards protocols and unified application programming interfaces (APIs) to improve data exchange between BIM and AI systems. …”
Get full text

Harmonization for Parkinson’s Disease Multi-Dataset T1 MRI Morphometry Classification by Mohammed Saqib, Silvina G. Horovitz

“…We test ComBat, a common harmonization model, in an example application to classify subjects with Parkinson’s disease from healthy volunteers and identify common pitfalls, including data leakage. …”
Get full text

Network-based multi-omics integrative analysis methods in drug discovery: a systematic review by Wei Jiang, Weicai Ye, Xiaoming Tan, Yun-Juan Bao

“…Abstract The integration of multi-omics data from diverse high-throughput technologies has revolutionized drug discovery. …”
Get full text