A human-on-the-loop approach for labelling seismic recordings from landslide site via a multi-class deep-learning based classification model by Jiaxin Jiang, David Murray, Vladimir Stankovic, Lina Stankovic, Clement Hibert, Stella Pytharouli, Jean-Philippe Malet

“…Leveraging on recent recommendations on embedding humans in the Artificial Intelligence (AI) decision making process, particularly training and validation, we propose a methodology that incorporates data labelling, verification, and re-labelling through a multi-class convolutional neural network (CNN) supported by Explainable Artificial Intelligence (XAI) tools, specifically, Layer-wise Relevance Propagation (LRP). …”
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Papillary Thyroid Carcinoma Semantic Segmentation Using Multi-Scale Adaptive Convolutional Network With Dual Decoders by Thanat Payatsuporn, Pittipol Kantavat, Nichthida Tangnuntachai, Nopporn Tipparawong, Waratchanok Techapapa, Boonserm Kijsirikul, Somboon Keelawat

“…According to the advances in artificial intelligence (AI) technology, semantic segmentation is used to support medical personnel. …”
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Rapid Joule-heating synthesis of metal/carbon-based electrocatalysts for efficient carbon dioxide reduction by Weijian Guo, Xueying Cao, Ao Zhou, Wenwen Cai, Jintao Zhang

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From Images to Genes: Radiogenomics Based on Artificial Intelligence to Achieve Non‐Invasive Precision Medicine in Cancer Patients by Yusheng Guo, Tianxiang Li, Bingxin Gong, Yan Hu, Sichen Wang, Lian Yang, Chuansheng Zheng

“…In this review, the history of radiogenomics is enumerated, related omics technologies, the five basic workflows and their applications across tumors, the role of AI in radiogenomics, the opportunities and challenges from tumor heterogeneity, and the applications of radiogenomics in tumor immune microenvironment. …”
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Deep learning and smart energy-based lightweight urban power load forecasting model for sustainable urban growth by Haewon Byeon, Azzah AlGhamdi, Ismail Keshta, Mukesh Soni, Sultonali Mekhmonov, Gurpreet Singh

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Diffusion Partition Consensus: Diffusion-Aided Time-of-Flight Estimates, Anomaly Detection, and Localization for Ultrasonic Nondestructive Evaluation Data by Nick Torenvliet, John S. Zelek

“…Diffusion partition consensus is a novel generative AI-based technique for time-series anomaly detection and data imputation in the presence of outliers. …”
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Deep Convolutional Neural Network Model for the Differential Diagnosis of Schizophrenia Using EEG Signals by Filiz Demirdöğen, Çağla Danacı, Seda Arslan Tuncer, Mustafa Akkuş, Sevler Yıldız

“…In the classification phase, ResNet18, ResNet50 and EfficientNet models, which are FastAI, and Convolutional Neural Network (CNN) based deep learning models, were used. …”
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Técnicas subliminares, o Direito e os sentidos by Célia F. Matias

“…A recente monografia The EU Artificial Intelligence Act: Regulating Subliminal AI Systems (em tradução livre: O Regulamento Inteligência Artificial da UE: regulação de sistemas de IA subliminares), de Rostam J. …”
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Introducing Ce ions and oxygen vacancies into VO2 nanostructures with high specific surface area for efficient aqueous Zn-ion storage by Mingying Bao, Zhengchunyu Zhang, Xuguang An, Baojuan Xi, Shenglin Xiong

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A hypothetical comparative evaluation system for arctic indoors by Seyed-Amin Tabatabaeifard, Jean-François Lalonde, Marc Hébert, André Potvin, Claude MH. Demers

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Global insights into MRSA bacteremia: a bibliometric analysis and future outlook by Jia-Yi Lin, Jia-Yi Lin, Jia-Kai Lai, Jia-Kai Lai, Jian-Yi Chen, Jian-Yi Chen, Jia-Yu Cai, Jia-Yu Cai, Zhan-Dong Yang, Zhan-Dong Yang, Liu-Qingqing Yang, Liu-Qingqing Yang, Liu-Qingqing Yang, Ze-Tao Zheng, Ze-Tao Zheng, Xu-Guang Guo, Xu-Guang Guo, Xu-Guang Guo

“…Future research will rely on integrating genomics, AI, and machine learning to drive personalized treatment. …”
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The impact of war on people with type 2 diabetes in Ukraine: a survey studyResearch in context by Oksana Sulaieva, Viktoriia Yerokhovych, Sergii Zemskov, Iuliia Komisarenko, Vitalii Gurianov, Volodymyr Pankiv, Oleksandr Tovkai, Tetyana Yuzvenko, Violetta Yuzvenko, Andrii Tovkai, Zlatoslava Shaienko, Tetyana Falalyeyeva, Nadiya Skrypnyk, Taras Romaniv, Nadiya Pasyechko, Taras Krytskyy, Solomiia Danyliuk, Andrii Klantsa, Dmytro Krasnienkov, Oleksandr Gurbych, Nazarii Kobyliak

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Research on Carbon Sequestration Capacity of Urban Park Green Space in the Central Urban Area of Beijing and Driving Factors Thereof by Xiuping LIU, Songting ZHAO, Xinyu LI, Jiale LI, Xing WANG

“…The higher PA, the higher AI, and the simpler the patch shape of park green space patches, the stronger the carbon sequestration capacity to a certain extent. …”
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Micronutrient dose response (MiNDR) study among women of reproductive age and pregnant women in rural Bangladesh: study protocol for double-blind, randomised, controlled trials by Tahmeed Ahmed, Hasmot Ali, Michael Rosenblum, Daniel J Erchick, Towfida Jahan Siddiqua, Rezwanul Haque, Parul Christian, Sarah Baker, Eleonor Zavala, Kerry J Schulze, SM Tafsir Hasan, Khalid Bin Ahsan, Sulagna Bandyopadhyay, Hasan Mahmud Sujan, Md. Hafizur Rahman, Katherine K Stephenson, Ximing Ge, Ethan K Gough, Brooke Langevin, Lee Shu Fune Wu, Brian Dyer, Anjan Kumar Roy, Mohammad Jubair, Amena Al Nishan, Mathangi Gopalakrishnan, Klaus Kraemer

“…The trials will test dose response to four levels of 19 micronutrients from 1 RDA/AI up to ~75% of the tolerable upper intake level (UL), where applicable. …”
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Diagnostic Accuracy of Automated Diabetic Retinopathy Image Assessment Software: IDx-DR and RetCAD by Andrzej Grzybowski, Piotr Brona, Tomasz Krzywicki, Paisan Ruamviboonsuk

“…This study compares the diagnostic accuracy of two AI screening platforms, IDx-DR and RetCAD, for detecting referable diabetic retinopathy (RDR). …”
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Prebiotic emergent sources for aquaculture: Microalgae and insects by Mónica Vanessa Oviedo-Olvera, Ana Angélica Feregrino-Pérez, María Isabel Nieto-Ramírez, Marta Montserrat Tovar-Ramírez, Humberto Aguirre-Becerra, Juan Fernando García-Trejo

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A Three‐Terminal Memristive Artificial Neuron with Tunable Firing Probability by Mila Lewerenz, Elias Passerini, Luca Weber, Markus Fischer, Nadia Jimenez Olalla, Raphael Gisler, Alexandros Emboras, Mathieu Luisier, Miklos Csontos, Ueli Koch, Juerg Leuthold

“…To date, the latter two key features are critically missing from the toolbox of artificial spiking neural network hardware, hindering the development of scalable and sustainable artificial intelligence (AI) platforms. Here, a compact, gate‐tunable neuron circuit is demonstrated, and its potential as a functional leaky integrate‐and‐fire (LIF) neuron is explored. …”
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Research on “Identification–Cognition–Perception” of the Pedestrian Spaces Around Subway Stations near Popular Tourist Attractions from the Tourists’ Perspective: A Case Study of T... by Weiwei Liu, Jianwei Yan, Xiang Sun, Ruiqi Song

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Design of an integrated model with temporal graph attention and transformer-augmented RNNs for enhanced anomaly detection by Sai Babu Veesam, Aravapalli Rama Satish, Sreenivasulu Tupakula, Yuvaraju Chinnam, Krishna Prakash, Shonak Bansal, Mohammad Rashed Iqbal Faruque

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Effective Feature Selection on Transfer Deep Learning Algorithm for Thyroid Nodules Ultrasound Detection by Ghufran Basim Alghanimi, Hadeel Aljobouri, Khaleel Akeash Alshimmari, Rasha Massoud

“…Recently, several methods of AI were proposed to improve the detection of thyroid nodules ultrasound images with good performances. …”
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