Comparing Portability of FPGA High-Level Synthesis Frameworks in the Context of a Highly-Parallel Application by Manuel De Castro, Roberto R. Osorio, Francisco J. Andujar, Rocio Carratala-Saez, Yuri Torres, Diego R. Llanos

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Application of novel security technique in cloud environment using attribute dependent authentication for health care by D. Deena Rose, C. Agees Kumar

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Digitally twin driven ship cooling pump fault monitoring system and application case by Shaojuan Su, Zhe Miao, Yong Zhao, Nanzhe Song

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Design and Implementation of a Responsive E-Commerce Web Application for Teras Thrifting Store by Riska Fitri Ulfiana, Muhammad Najib Dwi Satria S.Kom., MT.

“…These approaches tend to be inefficient and prone to errors in recording customer and sales data. To address these challenges, this study focuses on the design and implementation of a responsive e-commerce web application aimed at improving transaction efficiency and the management of product and customer data. …”
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A systematic mapping to investigate the application of machine learning techniques in requirement engineering activities by Shoaib Hassan, Qianmu Li, Khursheed Aurangzeb, Affan Yasin, Javed Ali Khan, Muhammad Shahid Anwar

“…Abstract Over the past few years, the application and usage of Machine Learning (ML) techniques have increased exponentially due to continuously increasing the size of data and computing capacity. …”
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Investigation of treatment delay in a complex healthcare process using physician insurance claims data: an application to symptomatic carotid artery stenosis by Stephen Christopher van Gaal, Arshia Alimohammadi, Mohammad Ehsanul Karim, Wei Zhang, Jason Sutherland

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A Survey of Blockchain Applications for Management in Agriculture and Livestock Internet of Things by Yang Yang, Min Lin, Yangfei Lin, Chen Zhang, Celimuge Wu

“…The findings suggest that blockchain technology not only improves data security and trustworthiness but also opens new avenues for efficient and transparent management in agriculture and animal husbandry.…”
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Wireless Sensor Networks: From Fundamentals and Applications to Innovations and Future Trends by Maria Trigka, Elias Dritsas

“…Future research directions emphasize bio-inspired architectures, hybrid communication in extreme environments, and efficient multi-modal data fusion. This survey serves as a foundational reference for researchers and practitioners seeking to design resilient, intelligent WSN-based systems for the next generation of applications.…”
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Integrating NMR and MS for Improved Metabolomic Analysis: From Methodologies to Applications by Patricia Homobono Brito de Moura, Guillaume Leleu, Grégory Da Costa, Guillaume Marti, Pierre Pétriacq, Josep Valls Fonayet, Tristan Richard

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Artificial Intelligence in Orthopedic Surgery: Current Applications, Challenges, and Future Directions by Fei Han, Xiao Huang, Xin Wang, Yong‐feng Chen, Chuang Lu, Shasha Li, Lu Lu, Da‐Wei Zhang

“…Nonetheless, current applications face challenges such as limited real‐time decision autonomy, fragmented medical data silos, standardization gaps restricting model generalization, and ethical/regulatory frameworks lagging behind technological advancements. …”
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Survey of IP geolocation: theory, methods, and innovative applications by LIU Xueting, TAI Wenxin, ZHOU Fan, WANG Yong, CHEN Kai

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New Cure Rate Survival Models Generated by Poisson Distribution and Different Regression Structures with Applications to Cancer Data Set by Mahdy Esmailian, Reza Azimi, Diego I. Gallardo, Parviz Nasiri

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A Review on High-Speed Electromagnetic Flow Control and Applications Considering Numerical Methods, Simulations, and Experimental Research Data by Yang Du, Jun Liu

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DREAMS: A python framework for training deep learning models on EEG data with model card reporting for medical applications by Rabindra Khadka, Pedro G. Lind, Anis Yazidi, Asma Belhadi

“…In this paper, we introduce DREAMS (Deep REport for AI ModelS), a Python-based framework designed to generate automated model cards for deep learning models applied to EEG data. Unlike generic model reporting tools, DREAMS is specifically tailored for EEG-based deep learning applications, incorporating domain-specific metadata, preprocessing details, performance metrics, and uncertainty quantification. …”
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Intelligent recognition of subsurface utilities and voids: A ground penetrating radar dataset for deep learning applicationsMendeley Data by Abdelaziz Mojahid, Driss El Ouai, Khalid El Amraoui, Khalil El-Hami, Hamou Aitbenamer

“…The importance of this dataset lies in: (1) contribute to fill the gap of lack of GPR data, (2) the universality of the data, (3) its potential to enhance the accuracy and efficiency to detect subsurface anomaly through the application of deep learning models, (4) GPR surveys are highly effective but still expensive, and its processing is time-consuming. …”
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Towards maximizing geospatial data usage in north eastern India using open-source scalable user-centric applications by P. S. Singh, D. Chutia, N. Nishant, A. Chouhan, V. Saikhom, S. P. Aggarwal, R. Kumar

“…The north eastern region of India is characterized by limited physical connectivity and challenging terrain, that requires innovative approaches for effective developmental planning and monitoring using geospatial data and user-centric applications. This paper focuses on leveraging space-based data and applications to address these challenges and enhance decision-making processes in governance. …”
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Design of Dual Frequency Class E Resonant Converters for Simultaneous Wireless Power and Data Transfer in Low Power Applications by Narayanamoorthi R, Vigna K. Ramachandaramurthy, Dominic Savio A, Radomir Gono, Petr Bernat, Petr Kacor

“…This work proposes a novel approach for creating Class E resonant converters that can function at two frequencies, allowing the source and the load to transfer power and data simultaneously. Resonant converter performance can be negatively impacted by fluctuations in load and coupling between the coils, which are typical in real-time applications. …”
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Improving Data Entry Quality in Enterprise Applications With NLP Methods: A Model Proposal Based on BERT and Deep Learning by H. Canli

“…In this study, a data validation system was developed to improve the accuracy of risk management data collected from an ERP application and to minimize data entry errors. …”
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A Variable Stiffness System for Impact Analysis in Collaborative Robotics Applications with FPGA-Based Force and Pressure Data Acquisition by Andrea D’Antona, Saverio Farsoni, Jacopo Rizzi, Marcello Bonfè

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Editorial: Special Section on Challenges and Opportunities in Biomedical Big Data Analysis: From Large Language Models to Clinical Applications by Yanjie Wei, Huiling Zhang, Zhipeng Cai, Fa Zhang, Zhaolei Zhang

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