Tactile 3D-printed media interaction with the color surface features of paintings. The case of the Scream (1910?) painting by Petros Ioannis Stavroulakis, Alfonsina Pagano, Beatrice Boracchi, Panagiotis Siozos, Sophia Sotiropoulou, Sophia Sotiropoulou, Emilien Leonhardt, Vincent Sabatier, Giorgio Trumpy, Irina C. A. Sandu

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Prediction and Identification of Potential Immunodominant Epitopes in Glycoproteins B, C, E, G, and I of Herpes Simplex Virus Type 2 by Mingjie Pan, Xingsheng Wang, Jianmin Liao, Dengke Yin, Suqin Li, Ying Pan, Yao Wang, Guangyan Xie, Shumin Zhang, Yuexi Li

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Machine learning-driven nanoparticle toxicity by Zied Hosni, Sofiene Achour, Fatma Saadi, Yangfan Chen, Mohammed Al Qaraghuli

“…By using a robust dataset, we deployed Random Forest (RF) and Light Gradient Boosting Machine (LightGBM) algorithms to identify key NP features that significantly influence cellular toxicity. …”
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Comprehensive Review of Intrusion Detection Techniques: ML and DL in Different Networks by Imane Rakine, Aziz Oukaira, Kamal El Guemmat, Issam Atouf, Sara Ouahabi, Mohamed Talea, Tarik Bouragba

“…Finally, the challenges are discussed and future research directions are proposed.…”
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Fatigue failure mechanisms and life prediction of additive manufactured metallic lattices: a comprehensive review by Hao Xin, Dingcheng Tang, Linwei Dang, Lei Gao, Zhenyu Yang, Bin Wu, Xiaofan He, Zhixin Zhan

“…The study also delves into the fatigue behaviours influenced by specific configurations and loading conditions, categorises the factors impacting fatigue failure in lattice materials, and presents a comprehensive review of fatigue life prediction methods, derived from an enhanced understanding of the fatigue process and the development of progressive fatigue failure algorithms. Finally, the current research advancements and limitations are discussed to provide a clearer perspective on the fatigue challenges associated with AM metallic lattice materials.…”
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Explainable AI-Based Skin Cancer Detection Using CNN, Particle Swarm Optimization and Machine Learning by Syed Adil Hussain Shah, Syed Taimoor Hussain Shah, Roa’a Khaled, Andrea Buccoliero, Syed Baqir Hussain Shah, Angelo Di Terlizzi, Giacomo Di Benedetto, Marco Agostino Deriu

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Synthesis and characterization of machine learning designed TADF molecules by Weimei Shi, Yan Li, Ziying Zhang, Zheng Tan, Shiqing Yang

“…This interdisciplinary approach not only accelerates the pace of TADF molecule development but also provides a scalable framework for future material innovation especially in the OLED research field.…”
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An IoT-Enabled Wearable Device for Fetal Movement Detection Using Accelerometer and Gyroscope Sensors by Atcharawan Rattanasak, Talit Jumphoo, Wongsathon Pathonsuwan, Kasidit Kokkhunthod, Khwanjit Orkweha, Khomdet Phapatanaburi, Pattama Tongdee, Porntip Nimkuntod, Monthippa Uthansakul, Peerapong Uthansakul

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Evolutionary learning in neural networks by heterosynaptic plasticity by Zedong Bi, Ruiqi Fu, Guozhang Chen, Dongping Yang, Yu Zhou, Liang Tian

“…Our method effectively trains spiking and analog neural networks in both feedforward and recurrent architectures, it also achieves performance in tasks like MNIST classification and Atari games comparable to gradient-based methods. Overall, this research extends training approaches for biophysical neuron models, offering a robust alternative to traditional algorithms.…”
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Multiplex immunophenotyping of human acute myeloid leukemia patients revealed single -cell heterogeneity with special attention on therapy sensitive and therapy resistant subpopula... by Nikolett Gémes, Benedek Rónaszéki, Szabolcs Modok, Zita Borbényi, Imre Földesi, Éva Trucza, Blanka Godza, Zsuzsanna László, Balázs Csernus, László Krenács, Enikő Bagdi, Enikő Szabó, László G. Puskás, László G. Puskás, Valeria Bertagnolo, Gábor J. Szebeni, Gábor J. Szebeni, Gábor J. Szebeni

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A photogrammetric approach to the estimation of distance to animals in camera trap images by B. Mirka, C.D. Lippitt, G.M. Harris, R. Converse, M. Gurule, S.E. Sesnie, M.J. Butler, D.R. Stewart, Z. Rossman

“…These methods have the potential, when paired with deep learning algorithms or crowdsourcing, to automate the process of wildlife identification and distance estimation, reducing the need for manual fieldwork or analysis while increasing the precision and replicability of population estimates. …”
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Analysis of Subgradient Extragradient Iterative Schemes for Variational Inequalities by Danfeng Wu, Li-Jun Zhu, Zhuang Shan, Tzu-Chien Yin

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Prevention of Imported Infectious Diseases in Travelers by A. A. Erovichenkov, N. N. Zvereva, M. A. Sayfullin, N. V. Okolot

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Social Media Management System for Educational Promotion by Yerik Afrianto Singgalen, Dorien Kartikawangi, Birgitta Narindri Rara Winayu

“…The resulting system integrates automated content workflows, scheduling algorithms, demographic-based audience targeting, and real-time performance analytics. …”
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Sentiment Analysis for the 2024 DKI Jakarta Gubernatorial Election Using a Support Vector Machine Approach by Mariani Mariani, Dwi Shinta Angreni, Sri Khaerawati Nur, Rinianty Rinianty, Deni Luvi Jayanto

“…Recognizing the pivotal role of social media, particularly Twitter, in shaping public opinion, the research addresses the challenges of processing large volumes of unstructured data. …”
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Big Data Market Optimization Pricing Model Based on Data Quality by Jian Yang, Chongchong Zhao, Chunxiao Xing

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A survey on deep learning in UAV imagery for precision agriculture and wild flora monitoring: Datasets, models and challenges by Lorenzo Epifani, Antonio Caruso

“…In this work, we review this literature, with a special focus on algorithms, model sizing, dataset characteristics and innovative technical solutions presented in many domain-specific models, providing the reader with an overview of the research trend in recent years.…”
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Emotional intelligence in management activities аnd artificial intelligence technologies by M. S. Laschenov, R. A. Bondarenko, I. V. Slomova

“…The article examines the role of emotional intelligence (emotional quotient) in the process of management activities and the competing position of artificial intelligence (hereinafter referred to as AI), which is trying to master it through learning algorithms and implementation in management practice. …”
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Interpretive prediction of hyperuricemia and gout patients via machine learning analysis of human gut microbiome by Jia-Wei Tang, Alfred Chin Yen Tay, Liang Wang

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FREE LONGITUDINAL VIBRATIONS OF A VERTICAL ROD WITH DISCRETE MASSES WITH DAMPING FORCES by H. P. Kulterbaev, I. M. Abdul-Salam, M. M. Payzulaev

“…The methods of finite differences and coordinate descent allow you to create universal algorithms and computer programs that easily solve complex spectral problems.Conclusion. …”
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