Seasonal habitat suitability and distribution patterns of Mediterranean fin whales by E. Papale, A. Arcangeli, A. Azzellino, M. Bellingeri, G. Bergamini, G. Buscaino, G. Calogero, A. Cañadas, L. David, R. De Stephanis, N. Di-Méglio, C. Lanfredi, C. Giacoma, G. Gnone, B. Mussi, D.S. Pace, L. Pintore, L. Pireddu, J.M. Salazar-Sierra, P. Tepsich, B. Violi, A. Giovannini

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Nonspecificity of adaptogenic effects of Ukrainian phytocompositions “Balm Truskavets’” and tea ATINE® by Igor Bombushkar, Anatoliy Gozhenko, Oksana Fihura, Ivan Savytskyi, Walery Zukow, Igor Popovych

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UAV-StrawFire: A visible and infrared dataset for real-time straw-fire monitoring with deep learning and image fusion by Xikun Hu, Ya Jiang, Xiaoyan Xia, Chen Chen, Wenlin Liu, Pengcheng Wan, Kangcheng Bin, Ping Zhong

“…The dataset is publicly available on IEEE Dataport, offering a valuable resource for researchers in the remote sensing and machine learning communities to advance the development of effective straw-burning monitoring systems.…”
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Artificial Intelligence Applied to the Analysis of Biblical Scriptures: A Systematic Review by Bruno Cesar Lima, Nizam Omar, Israel Avansi, Leandro Nunes de Castro

“…Emphasis is given to what types of tasks are being solved, what are the main AI algorithms used, and their limitations. The findings deliver a general perspective on how this field is being developed, along with its limitations and gaps. …”
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THE AUGMENTED REALITY FUNCTIONS TO SUPPORT THE STEAM EDUCATION AT GENERAL EDUCATION INSTITUTIONS by Наталія Сороко

“…AR provide the formation and development of a new information method of presentation and assimilation of material, are high-tech didactic tools. Our further research is the creation of algorithms for the use of AR for lessons and projects using the STEAM approach, which will improve the quality of education at general education institutions.…”
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Digital Twin: A Step Towards Smart Cities in Urban Planning, Design and Management by Farshad Shariatpour, Mostafa Behzadfar

“…An important approach to this transformation is the digital twins of Tehran. In this regard, the main purpose of this article is to focus on introducing the concept of digital twins as a necessity in the era of smart cities and also to implement a practical way to achieve this concept in Tehran.The main research tool of this article is CityEngine software. …”
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Carbapenemases Produced by Multidrug-Resistant Strains of <i>Klebsiella Pneumoniae</i> Isolated from Intensive Care Patients by T. V. Chernenkaya, L. A. Borisova, T. Yu. Vorobieva, M. A. Godkov, A. K. Shabanov

“…The main mechanism for the formation of resistance to carbapenems is the production of carbapenemases by bacteria. …”
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Vision-Based Drone Detection in Complex Environments: A Survey by Ziyi Liu, Pei An, You Yang, Shaohua Qiu, Qiong Liu, Xinghua Xu

“…With the rapid advancements in computer vision, vision-based drone detection methods have emerged as a hot topic of research. However, current reviews of vision-based drone detection are less focused on algorithmic summarization and analysis. …”
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Beyond Linearity: Uncovering the Complex Spatiotemporal Drivers of New-Type Urbanization and Eco-Environmental Resilience Coupling in China’s Chengdu–Chongqing Economic Circle with... by Caoxin Chen, Shiyi Wang, Meixi Liu, Ke Huang, Qiuyi Guo, Wei Xie, Jiangjun Wan

“…These findings enrich existing research and offer policy insights to enhance coordinated development in the Chengdu–Chongqing Economic Circle.…”
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Adaptive Pixel-Level and Superpixel-Level Feature Fusion Transformer for Hyperspectral Image Classification by Wei Huang, Dazhan Zhou, Le Sun, Qiqiang Chen, Junru Yin

“…Significant progress has been achieved in hyperspectral image (HSI) classification research through the application of the transformer blocks. …”
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Preset Conditional Generative Adversarial Network for Massive MIMO Detection by Yongzhi Yu, Shiqi Zhang, Jiadong Shang, Ping Wang

“…The numerical results show that PC-GAN performs well in spatially correlated and imperfect channels. The detection performance of NR-PC-GAN is far superior to the other algorithms in low-SNR scenarios.…”
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A technical survey on tire-road friction estimation by Seyedmeysam Khaleghian, Anahita Emami, Saied Taheri

“…Many studies have been conducted in this field and researchers have used different tools and have proposed different algorithms. …”
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A Method for Prediction and Analysis of Student Performance That Combines Multi-Dimensional Features of Time and Space by Zheng Luo, Jiahao Mai, Caihong Feng, Deyao Kong, Jingyu Liu, Yunhong Ding, Bo Qi, Zhanbo Zhu

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Open Georeferenced Field Data on Forest Types and Species for Biodiversity Assessment and Remote Sensing Applications by Patrizia Gasparini, Lucio Di Cosmo, Antonio Floris, Federica Murgia, Maria Rizzo

“…Data were collected as part of a project aimed at developing a classification algorithm based on hyperspectral data. The dataset was made publicly available as it refers to forest types and species widespread in many countries of Central and Southern Europe and is potentially useful to other researchers for the study of forest biodiversity or for remote sensing applications.…”
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Distilling knowledge from graph neural networks trained on cell graphs to non-neural student models by Vasundhara Acharya, Bülent Yener, Gillian Beamer

“…Abstract The development and refinement of artificial intelligence (AI) and machine learning algorithms have been an area of intense research in radiology and pathology, particularly for automated or computer-aided diagnosis. …”
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iMESc – an interactive machine learning app for environmental sciences by Danilo Cândido Vieira, Danilo Cândido Vieira, Fabiana S. Paula, Luciana Erika Yaginuma, Gustavo Fonseca

“…IMESc permits the customization of plots and saving the workflows into “savepoints” guarantying reproducibility. iMESc bridges the gap between the complexity of machine learning algorithms and the need for user-friendly interfaces in environmental research. …”
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Digital education as a new pedagogical paradigm by Fatima Anzaurovna Tuguz

“…The research results: new educational opportunities through the use of digital resources have been substantiated; the main features of digital education have been identified; the prospects for digital education as an innovative model have been outlined. …”
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Statewide Forest Canopy Cover Mapping of Florida Using Synergistic Integration of Spaceborne LiDAR, SAR, and Optical Imagery by Monique Bohora Schlickmann, Inacio Thomaz Bueno, Denis Valle, William M. Hammond, Susan J. Prichard, Andrew T. Hudak, Carine Klauberg, Mauro Alessandro Karasinski, Kody Melissa Brock, Kleydson Diego Rocha, Jinyi Xia, Rodrigo Vieira Leite, Pedro Higuchi, Ana Carolina da Silva, Gabriel Maximo da Silva, Gina R. Cova, Carlos Alberto Silva

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The Role of Time in Facial Dynamics and Challenges in Automatic Emotion Recognition (2019–2024) by Williams Contreras-Higuera, Lucrezia Crescenzi-Lanna

“…The study provides valuable insights for selecting appropriate algorithms that are tailored to specific research objectives and contexts.…”
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Predicting noncoding RNA and disease associations using multigraph contrastive learning by Si-Lin Sun, Yue-Yi Jiang, Jun-Ping Yang, Yu-Han Xiu, Anas Bilal, Hai-Xia Long

“…The K-MGCMLD model is divided into four main steps. The first step is the construction of a heterogeneous graph. …”
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