Transformer-based heart language model with electrocardiogram annotations by Stojancho Tudjarski, Marjan Gusev, Evangelos Kanoulas

“…Abstract This paper explores the potential of transformer-based foundation models to detect Atrial Fibrillation (AFIB) in electrocardiogram (ECG) processing, an arrhythmia specified as an irregular heart rhythm without patterns. We construct a language with tokens from heartbeat locations to detect irregular heart rhythms by applying a transformers-based neural network architecture previously used only for building natural language models. …”
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Quantifying Urban Vitality in Guangzhou Through Multi-Source Data: A Comprehensive Analysis of Land Use Change, Streetscape Elements, POI Distribution, and Smartphone-GPS Data by Hongjin Chen, Jingyi Ge, Wei He

“…The results reveal the spatial distribution patterns of urban vitality and the varying significance of different determinants, providing data-driven insights and policy implications for urban planning and development.…”
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A comparative study of multivariate CNN, BiLSTM and hybrid CNN–BiLSTM models for forecasting foreign exchange rate using deep learning by Elysee Nsengiyumva, Joseph K. Mung’atu, Charles Ruranga

“…This study evaluates the forecasting capabilities of multivariate Convolutional Neural Network (CNN), Bidirectional Long Short-Term Memory (BiLSTM), and a hybrid CNN-BiLSTM model for predicting daily rate returns of USD, EUR and GBP in Rwanda’s foreign exchange market from 2012 to 2025. …”
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Potential distribution of native freshwater fish in Tabasco, Mexico by Paula Andrea Castillo-Torres, Enrique Martínez-Meyer, Fernando Cordova Tapia, Luis Zambrano

“…We implemented an ecological niche modeling approach to: 1) identify the potential richness distribution patterns of native fish; 2) evaluate the relative importance of climatic and topographic variables in fish distribution, and 3) analyze if the natural protected areas correspond to areas with higher potential species richness. …”
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Optimization of Bus Rerouting to Alleviate the Impact of Rail Transit Construction by Yiran Wang, Jingxu Chen, Xinlian Yu, Qinhe An, Xu Wu

“…For each rerouting line, we design two adjustment patterns and associated candidate alternative rerouting sets. …”
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A Comparative Study of Machine Learning Algorithms for Intrusion Detection Systems using the NSL-KDD Dataset by Rulyansyah Permata Putra, Amarudin Amarudin

“…In today’s digital era, cyberattacks are becoming increasingly complex, rendering traditional rule-based Intrusion Detection Systems (IDS) often ineffective in recognizing new attack patterns. The primary objective of this study is to design and implement a machine learning model for detecting network intrusions efficiently while minimizing latency, through a comparative analysis of several algorithms: Decision Tree, Random Forest, Support Vector Machine (SVM), and Boosting. …”
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Challenges in Imputation of ICU Time-Series Data: A Comparison of Classical and Machine Learning Approaches by Favio Salinas, Marvin Agristean, Sobhan Moazemi, Steven Kessler, Bastian Dewitz, Hug Aubin, Artur Lichtenberg, Falko Schmid

“…Advanced imputation techniques, such as Bidirectional Recurrent Imputation for Time Series (BRITS), Self-Attention-based Imputation for Time Series (SAITS), and Multi-directional Recurrent Neural Network (M-RNN), show strong performance but are influenced by dataset characteristics like missing patterns and feature distributions. …”
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A Novel Fuzzy Kernel Extreme Learning Machine Algorithm in Classification Problems by Asli Kaya Karakutuk, Ozer Ozdemir

“…On the JAFFE dataset, the algorithm achieved an average classification accuracy of 94.55% when supported with local binary patterns and 94.27% with a histogram of oriented gradients. …”
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Quantitative Assessment of Regional Carbon Neutrality Policy Synergies Based on Deep Learning by Daiyang Zhang, Enmiao Feng

“…By working with neural network architectures and relevant tools, performance patterns, successes, and new management. …”
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On the effect of sampling frequency on the electricity theft detection performance by Fatemeh Soleimani Nasab, Foad Ghaderi

“…We also proposed a bagging network that could improve the overall detection performance at different sampling frequencies.…”
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Time series forecasting of chlorophyll-a concentrations in the Chesapeake Bay by Sahil Gupta, Sagar Gupta

“…Abstract Declining water quality poses serious environmental and public health risks, with chlorophyll-a serving as a key biological indicator of harmful algal blooms. This study evaluates the use of a Long Short-Term Memory (LSTM) neural network to forecast chlorophyll-a concentrations in the Chesapeake Bay, a critical estuarine ecosystem supporting over 17 million people. …”
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The novel diagnostic markers for systemic lupus erythematosus and periodontal disease by Xuedi Cheng, Jinfeng Zhang, Jiali Hou, Xiaocui Han, Bin Han, Jun Zhou, Zhongjun Wang, Junzheng Wang

“…CIBERSORT and Gene Set Variation Analysis (GSVA) were used to evaluate the correlation between shared hub genes and immune infiltration patterns as well as metabolic pathways. …”
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Biomarker profile and disease burden associated with intermittent and long-term oral corticosteroid use in patients with severe asthma prior to biologic initiation in real-life (ST... by Florence Schleich, MD, PhD, Désirée Larenas-Linnemann, MD, FAAAAI, Dist.Intl.FACAAI, Alan Altraja, MD, PhD, Luis Pérez de Llano, MD, PhD, Konstantinos Kostikas, MD, PhD, FERS, Mohsen Sadatsafavi, MD, PhD, Arnaud Bourdin, MD, PhD, Roy Alton Pleasants, PharmD, Mark Hew, MBBS, PhD, FRACP, Wenjia Chen, PhD, Libardo Jiménez-Maldonado, MD, Simon Couillard, MD, MSc, Charlotte Suppli Ulrik, MD, DMSc, Adeeb A. Bulkhi, MD, MS, Ming-Ju Tsai, MD, PhD, George C. Christoff, MD, MPH, PhD, Nikolaos G. Papadopoulos, MD, PhD, FRCP, Paul E. Pfeffer, MRCP(UK), PhD, Dermot Ryan, MD, FRCGP, Celine Bergeron, MD, FRCPC, MSc, Mona S. Al-Ahmad, MD, FRCPC, Delbert R. Dorscheid, MD, PhD, Eileen Wang, MD, MPH, John D. Blakey, PhD, Belinda Cochrane, MBBS (Hons), MD, Matthew J. Peters, MD, PhD, Todor A. Popov, MD, PhD, Carlos A. Torres-Duque, MD, Susanne Hansen, PhD, Francesca Puggioni, MD, Kirsty Fletton, MBChB, Laila Salameh, PhD, Peter G. Middleton, MBBS, BSc(Med), PhD, FRACP, FERS, Paulo Márcio Pitrez, MD, PhD, Chin Kook Rhee, MD, PhD, Eve Denton, MBBS(Hons), MPH, PhD, FRACP, Kenneth R. Chapman, MSc, MD, FRCPC, FACP, FERS, Lauri Lehtimäki, MD, PhD, Ruth B. Murray, PhD, Chau-Chyun Sheu, MD, PhD, David J. Jackson, FRCP, PhD, Riyad Al-Lehebi, MD, FRCPC, Mariko Siyue Koh, MBBS, MRCP (UK), FCCP, Bassam Mahboub, MD, Ledit R.F. Ardusso, MD, Athena Gogali, MD, PhD, Giorgio Walter Canonica, MD, Piotr Kuna, MD, PhD, Martin Sivori, MD, PhD, Renaud Louis, MD, PhD, Shelley Abercromby, BSc(Hons), Giuseppe Guida, MD, PhD, Bernt Bøgvald Aarli, MD, PhD, Aaron Beastall, MSc, Victoria Carter, BSc, Ghislaine Scelo, PhD, John Townend, PhD, Borja G. Cosio, MD, PhD, Pujan H. Patel, MD, Celine Yun Yi Goh, MBBS, Zsuzsanna Csoma, MD, PhD, John W. Upham, MBBS, PhD, FRACP, João A. Fonseca, MD, PhD, Peter G. Gibson, MBBS, FRACP, Christine Jenkins, AM, MD, FRACP, Guy G. Brusselle, MD, PhD, Anne Chèvremont, Andréanne Côté, MD, MSc, FRCPC, Carlos Andrés Celis-Preciado, MD, MSc, Ivan Solarte, MD, MHPE, Celeste M. Porsbjerg, MD, PhD, Asger Sverrild, MD, PhD, Paula Kauppi, MD, PhD, Stelios Loukides, MD, FERS, Michael P. Makris, MD, PhD, Andriana I. Papaioannou, MD, PhD, Enrico Heffler, MD, PhD, Jeffrey Shi Kai Chan, MBChB, MPH, FESC, Hyonsoo Joo, MD, PhD, Liam G. Heaney, MD, Wei-Han Cheng, PhD, Njira Lugogo, MD, Michael E. Wechsler, MD, MMSc, Cláudia Chaves Loureiro, MD, PhD, Bellanid Rodríguez-Cáceres, BSc, Tatsuya Nagano, MD, PhD, Zhixiao Wang, PhD, Hao-Chien Wang, MD, PhD, Jorge Máspero, MD, Fernando Saldarini, MD, Ana María Stok, MD, Anahi Yañez, MD, Philip G. Bardin, PhD, Sinthia Z. Bosnic-Anticevich, PhD, Vidya Navaratnam, BMBS, MSc, PhD, Mohit Bhutani, MD, FRCPC, FCCP, M. Diane Lougheed, MSc, MD, FRCP(C), Lyle Melenka, MD, FRCP, B.MSc, Petros Bakakos, MD, Konstantinos P. Exarchos, MD, PhD, Aggelos A. Ladias, MD, Dóra Lúdvíksdóttir, MD, PhD, Takashi Iwanaga, MD, PhD, Elvia Angelica Contreras Contreras, MD, Sverre Lehmann, MD, PhD, José Alberto Ferreira, MD, Rebecca Gall, MD, Pin-Kuei Fu, MD, PhD, Diahn-Warng Perng, MD, PhD, Flavia Hoyte, MD, Rohit Katial, MD, Unnur S. Björnsdóttir, MD, Camille Taillé, MD, PhD, Christian Taube, MD, Breda Cushen, MD, PhD, Lakmini Bulathsinhala, MPH, Leif Bjermer, MD, PhD, David B. Price, FRCGP

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Multi-source image feature extraction and segmentation techniques for karst collapse monitoring by Wenbo Lin, Xiao Li, Tingting Li

“…Traditional approaches often fall short in delivering timely and accurate evaluations of collapse risks.MethodsTo address these challenges, we propose the Integrated Karst Collapse Prediction Network (IKCPNet), a novel framework that combines multi-source imaging, geophysical modeling, and machine learning techniques. …”
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Sideroxylon inerme L. (Sapotaceae): A narrative of its uses as ethnoveterinary medicine and other medicinal applications by Alfred Maroyi

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A hybrid approach to investigating major management factors for effective highway preventive maintenance by Na Zhao, Yijuan Liu, Huihua Chen

“…The study conducted a literature review and exploratory factor analysis (EFA) to identify the major HPM management factors. Social network analysis (SNA) was used to distinguish the degree of importance of these factors. …”
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Comparing acoustic representations for deep learning-based classification of underwater acoustic signals: A case study on orca (Orcinus orca) vocalizations by Fabio Frazao, Ruth Joy, Michael Dowd

“…The spectrogram is well-suited for many such pattern recognition algorithms, including those developed for computer vision, such as convolutional neural networks. …”
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Bridge Deflection Separation Prediction Model Based on DWT-LSTM and Its Engineering Application by ZHENG Shuai, JIANG He, WANG Zhongchang, DING Jia, YANG Yi

“…In contrast, the LSSVM model had RMSE values of 2.82 mm and 3.52 mm, with MAE values of 2.45 mm and 3.13 mm. The BP neural network had RMSE values of 3.06 mm and 3.53 mm, with MAE values of 2.89 mm and 3.24 mm. …”
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Molecular characterization of gliotoxin synthesis in a biofilm model of Aspergillus fumigatus by Alicia Gomez-Lopez, Candela Fernandez-Fernandez

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Mobile phone data for anticipating displacements: practices, opportunities, and challenges by Bilgeçağ Aydoğdu, Özge Bilgili, Subhi Güneş, Albert Ali Salah

“…The paper concludes by evaluating the potential benefits of MPD analysis for targeted and effective policy interventions and discusses future research avenues, drawing on recent studies and ongoing collaborations with mobile network operators.…”
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