La prueba de aptitud académica de la Universidad de Costa Rica para aplicantes con necesidades especiales: nuevos desarrollos / The academic aptitude test university of Costa Rica... by Aida María Mainieri Hidalgo

“…It also asserts the progressive inclusion of ENEE and its scope, with the support of meaningful data. …”
Get full text

On the Upper Mid-Band 8 × 8 and 8 × 4 Device MIMO Performance Based on Applying Compact Backcover Four-Antenna Modules for 6G Smartphones With Increased Data Rates by Kin-Lu Wong, Wan-Ting Li, Chin-Lung Wang, Chun-Chi Wen, Wei-Yu Li

“…Hence, although the <inline-formula> <tex-math notation="LaTeX">$8\times 8$ </tex-math></inline-formula> MIMO has a potentially much larger system channel capacity, its actual data throughput cannot be proportionally larger. …”
Get full text

Artificial intelligence in environmental monitoring: in-depth analysis by Emran Alotaibi, Nadia Nassif

“…The study highlights ongoing efforts to develop explainable AI (XAI) models, which aim to improve model transparency and trust in critical environmental applications. Future research directions emphasize improving data quality and availability, fostering interdisciplinary collaborations across environmental and computer sciences, and addressing ethical considerations in AI-driven environmental management. …”
Get full text

Adaptive software sensor for intelligent control in photovoltaic system optimization by Hsen Abidi, Lilia Sidhom, Math Bollen, Inès Chihi

Get full text

Introducing a Novel Fast Neighbourhood Component Analysis–Deep Neural Network Model for Enhanced Driver Drowsiness Detection by Sama Hussein Al-Gburi, Kanar Alaa Al-Sammak, Ion Marghescu, Claudia Cristina Oprea, Ana-Maria Claudia Drăgulinescu, George Suciu, Khattab M. Ali Alheeti, Nayef A. M. Alduais, Nawar Alaa Hussein Al-Sammak

“…Traditional deep neural network (DNN)-based solutions have shown promising results in detecting drowsiness; however, they are often less suitable for real-time applications due to their high computational complexity, risk of overfitting, and reliance on large datasets. …”
Get full text

A Proposed Vision for Using Artificial Intelligence in Enhancing Strategic Value of Human Resources by Nadera Hourani

“…Yet, there are significant challenges in the form of algorithmic bias, data privacy concerns, and organizational readiness. …”
Get full text

Optimizing of Universal DEA Model with Multi-Level Integration under Neutrosophic Environment by Hamiden Abd El- Wahed Khalifa, Loay Alkhalifa, Sultan S. Alodhaibi, Basma E. El- Demerdash

“…Possible restrictions, however, on applicability in very large data sets and computation time complexities would need further probing. …”
Get full text

Loop-invariant Optimization in the Pifagor Language by Vladimir S. Vasilev, Alexander I. Legalov

“…The algorithm shown for computations over parallel lists is applicable only to the Pifagor language, because it rests upon specific data structures and the computational model of this language. …”
Get full text

FC-BENTEN: Synchrotron X-Ray Experimental Database for Polymer-Electrolyte Fuel-Cell Material Analysis by Takahiro Matsumoto, Shigeru Yokota, Takuma Kaneko, Mayeesha Marium, Jeheon Kim, Yasuhiro Watanabe, Hiroyuki Iwamoto, Keiji Umetani, Tomoya Uruga, Albert Mufundirwa, Yuki Mizuno, Daiki Fujioka, Tetsuya Miyazawa, Hirokazu Tsuji, Yoshiharu Uchimoto, Masashi Matsumoto, Hideto Imai, Yoshiharu Sakurai

“…Planned integration with MI platforms will broaden data cross-referencing capabilities, facilitate PEFC applications expansion, and guide future research. …”
Get full text

Neighborhood constraint extraction for rapid modeling of point cloud scenes in large-scale power grid substations by Ruiheng Li, Lu Gan, Yi Di, Hao Tian, Qiankun Zuo, Yiming Luo, Xuan Wu, Haiyang Wang

“…Extracting target PC data from larger scenes is more challenging than from smaller settings. …”
Get full text

Correlating pore space morphology with numerically computed soil gas diffusion for structured loam and sand, including stochastic 3D microstructure modeling by Benedikt Prifling, Matthias Weber, Maximilian Rötzer, Nadja Ray, Alexander Prechtel, Maxime Phalempin, Steffen Schlüter, Doris Vetterlein, Volker Schmidt

“…In the present paper, we validate these formulas and further extend their applicability to structured soils. In particular, 3D CT data of a total of six samples, consisting of three loam and three sand samples, are used as the basis for an extensive structural analysis. …”
Get full text

Business Valuation with Machine learning by P. S. Koklev

“…The aim of the article is to test the hypothesis about the applicability of machine learning methods to train models that allow to accurately predict the market capitalization of an enterprise based on data contained in three main forms of financial statements: Income statement, Balance sheet, and Cash flow statement.The scientific novelty of the study lies in the proposal of an alternative approach to the actual finance problem —  business valuation.The conducted empirical study allows us to test the hypothesis under consideration. …”
Get full text

Lithological mapping of northern Kohat Plateau’s limestone outcrops using integrated remote sensing and reflectance spectroscopy techniques by Muhammad Suliman, Muhammad Ali, Shah Faisal

“…Also, the integration of spectroscopic field data with satellite-based resultant images represented a meaningful contribution to rectifying previous geological maps. …”
Get full text

Development of technology for controlling access to digital portals and platforms based on estimates of user reaction time built into the interface by S. G. Magomedov, P. V. Kolyasnikov, E. V. Nikulchev

“…In distributed digital platforms and portals using personal data, big data is collected and processed using specialized applications using computer networks. …”
Get full text

UAV photogrammetry for archaeological site survey. 3D models at the Hierapolis in Phrygia (Turkey) by Filiberto Chiabrando, Francesco D'Andria, Giulia Sammartano, Antonia Spanò

“…It also proves to be a very flexible tool applicable to many types of complex areas with a variety of different features. …”
Get full text

Boundary-Aware Transformer for Optic Cup and Disc Segmentation in Fundus Images by Soohyun Wang, Byoungkug Kim, Doo-Seop Eom

“…We enhance data diversity while preserving vascular and tissue structures through truncated Gaussian-based sampling and colormap transformations. …”
Get full text

Enhancing safe mobility through V2V communication: a focus on short-range performance with UWB by Rolen Lionel Rodrigues, K. V. Santhosh

“…DSRC is effective in urban environments with established infrastructure, offering low-latency transmission for safety–critical applications. V2V communications also enhance autonomous system decision-making by integrating sensor data with external information, allowing for risk anticipation beyond onboard sensor ranges. …”
Get full text

Smart Tourism in ASEAN: Leveraging Technology for Sustainable Development and Enhanced Visitor Experiences by Wai Yie Leong, Yuan Zhi Leong, Wai San Leong

“…We explored how ASEAN countries are leveraging advanced technologies such as the Internet of Things (IoT), big data analytics, artificial intelligence (AI), and mobile applications to promote sustainable development and enhance visitor experiences. …”
Get full text

An Autoregressive-Based Motor Current Signature Analysis Approach for Fault Diagnosis of Electric Motor-Driven Mechanisms by Roberto Diversi, Alice Lenzi, Nicolò Speciale, Matteo Barbieri

“…This paper presents a novel data-driven, MCSA-based CM approach that exploits autoregressive (AR) spectral estimation. …”
Get full text

DS-AdaptNet: An Efficient Retinal Vessel Segmentation Framework With Adaptive Enhancement and Depthwise Separable Convolutions by Shuting Chen, Chengxi Hong, Hong Jia

“…Medical image segmentation plays a crucial role in diagnosis and treatment planning, yet faces persistent challenges including limited annotated data, boundary ambiguity, and high computational demands that hinder clinical deployment. …”
Get full text