Energy efficiency maximization in MIMO links aided by metasurfaces with global reflection constraints by Ayşegül Ilay Tunalı, Robert Kuku Fotock, Alessio Zappone, Giorgio Taricco, Giuseppa Alfano, Hakan Ali Çırpan

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A Cost-Benefit Analysis of the Installation of an Automatic Incident Detection System in Vilnius by Aldona Jarašūnienė, Marta Novikova

“…Different countries use Intelligent Transport Systems to create a safer, more efficient, and sustainable transport system to monitor and manage traffic flow. …”
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Innovative Driver Monitoring Systems and On-Board-Vehicle Devices in a Smart-Road Scenario Based on the Internet of Vehicle Paradigm: A Literature and Commercial Solutions Overview by Paolo Visconti, Giuseppe Rausa, Carolina Del-Valle-Soto, Ramiro Velázquez, Donato Cafagna, Roberto De Fazio

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Evaluating the impact of digital technologies on the excursion services’ management by Olesia Suntsova

“…The rapid advancement of digital tools, including augmented reality (AR), virtual reality (VR), artificial intelligence (AI), and mobile applications, has significantly transformed the tourism industry, creating new opportunities for enhancing customer experience, optimizing service delivery, and increasing business efficiency. …”
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Effective deep learning aided vehicle classification approach using Seismic Data by Sherief Hashima, Mohamed H. Saad, Ahmad B. Ahmad, Takeshi Tsuji, Hamada Rizk

“…Abstract Intelligent transportation systems (ITSs) significantly enhance traffic safety and management globally. …”
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Neutrosophic OWA-TOPSIS Model for Decision-Making in AI Systems with Large Volumes of Data by Juan Roberto Pereira Salcedo, Karla Melissa Ruiz Quezada, Edison Luis Cruz Navarrete, Pedro Manuel García Arias

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Analyzing click data with AI: implications for student performance prediction and learning assessment by Mahdi-Reza Borna, Hanan Saadat, Aref Tavassoli Hojjati, Elham Akbari

“…BackgroundAs the intersection of artificial intelligence (AI) and education deepens, predictive analytics using machine learning (ML) and deep learning (DL) models offer novel approaches to assessing student performance in online environments. …”
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Effect of liver biopsy size on MASLD fibrosis assessment by second-harmonic generation/two-photon excitation fluorescence microscopy by Daniel T. Field, Yayun Ren, Kutbuddin Akbary, Elaine Chng, Dean Tai, Nikolai V. Naoumov, David E. Kleiner, Jonathan A. Fallowfield, Timothy J. Kendall, Arun J. Sanyal

“…Second-harmonic generation/two-photon excitation fluorescence (SHG/TPEF) microscopy images unstained tissue sections and, when integrated with artificial intelligence models, generates a continuous fibrosis value (qFibrosis) and ordinal qFibrosis stage. …”
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Magic, a Service Center for Technologies Applied to Manuscripts and Printed Books. Project Overview and Progress Report by Stefania Conte

“…Starting from the digital library, Magic aims to make digital resources available to the research community and beyond, also through modern technologies capable of creating value, knowledge, comparison, discussion and sharing. …”
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Algorithmic Integration of Budgets into Strategic  Enterprise Management by B. E. Odintsov

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Aalto Gear Fault datasets for deep-learning based diagnosisMendeley DataMendeley DataMendeley Data by Zacharias Dahl, Aleksanteri Hämäläinen, Aku Karhinen, Jesse Miettinen, Andre Böhme, Samuel Lillqvist, Sampo Haikonen, Raine Viitala

“…The comprehensive data collected, along with the methodologies for creating synthetic faults and replicating common gear failures, provide valuable resources for developing and testing intelligent fault diagnosis models, enhancing their generalization and robustness across diverse scenarios.…”
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System for Evaluating Organizational, Human and Consumer Capital for Effective Management of Intellectual Capital of High-Tech Digital Companies by O. V. Loseva, N. M. Abdikeev

“…The problem of forming effective teams for creating, implementing and commercializing innovative products is relevant for high-tech companies focused on business digitalization. …”
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Optimisation of logistics processes in the automotive industry by N. Yu. Lyachenkov

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Challenges of implementing digital technologies into public administration and forming a “smart government” by O. N. Afanasyeva, E. M. Korostyshevskaya

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Securing smart cities through machine learning: A honeypot‐driven approach to attack detection in Internet of Things ecosystems by Yussuf Ahmed, Kehinde Beyioku, Mehdi Yousefi

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SIMPLIFIED MATHEMATICAL MODEL OF SMALL SIZED UNMANNED AIRCRAFT VEHICLE LAYOUT by V. V. Vyshinsky, A. O. Kislovskiy, S. A. Kolchev

“…Strong reduction of new aircraft design period using new technology based on artificial intelligence is the key problem mentioned in forecasts of leading aerospace industry research centers. …”
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APPLICATION OF ANTHROPOMORPHIC DESIGN IN CHATBOT DIGITAL AVATARS: A COMPARATIVE ANALYSIS OF ABSTRACT AND FIGURATIVE REPRESENTATIONS by Ma Ning, Ruslana Viktorivna Khynevych

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AI-based teaching evaluations: How well do they reflect student perceptions? by Yossi Ben Zion, Shir Yakov, Einat Abramovitch, Gal Balter, Nitza Davidovitch

“…This study presents an innovative solution for evaluating university-level teaching quality using artificial intelligence (AI), focusing on key aspects such as clarity of explanation and lecture structure. …”
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Assessing the Performance of ChatGPT in Medical Toxicology Through Simulated Case Scenarios by İbrahim Altundağ, Semih Korkut, Ramazan Güven, Aynur Şahin

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Improving the Performance of a Korean Patent Document Search Model using KorPatBERT-based CPC Classification Model by Jaeok Min, Hansung Noh, Minhak Kwak, Solbin Hwang, Taehoon Kim

“…To address this challenge, this study proposes an advanced patent search model that leverages artificial intelligence technology. This study presents a method for creating models according to the CPC classification model based on the KorPatBERT(Korean Patent BERT) that can deeply understand the detailed technical context of patent documents through pre-training involving vast patent data. …”
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