HTTD: A Hierarchical Transformer for Accurate Table Detection in Document Images by Mahmoud SalahEldin Kasem, Mohamed Mahmoud, Bilel Yagoub, Mostafa Farouk Senussi, Mahmoud Abdalla, Hyun-Soo Kang

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Geoelectrical images of normal fault zones: tectonophysical interpretation of the shallow-depth electrical resistivity tomography data on the Buguldeika-Chernorud graben in the Wes... by K. Zh. Seminsky, A. A. Bobrov

“…In the study of normal fault zones located in the central Baikal rift, a new approach was applied to process and interpret the shallow-depth electrical resistivity tomography data. …”
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Interpretable Deep Learning Models for Arrhythmia Classification Based on ECG Signals Using PTB-X Dataset by Ahmed E. Mansour Atwa, El-Sayed Atlam, Ali Ahmed, Mohamed Ahmed Atwa, Elsaid Md. Abdelrahim, Ali I. Siam

“…<b>Methods</b>: This study introduces two models: a custom convolutional neural network (CNN) with a dual-branch architecture for processing ECG signals and demographic data (e.g., age, gender), and a modified VGG16 model adapted for multi-branch input. …”
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Benchmarking Open-Source Large Language Models for Sentiment and Emotion Classification in Indonesian Tweets by Arbi Haza Nasution, Aytug Onan, Yohei Murakami, Winda Monika, Anggi Hanafiah

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Deep Learning-Based Feature Extraction Technique for Single Document Summarization Using Hybrid Optimization Technique by Jyotirmayee Rautaray, Sangram Panigrahi, Ajit Kumar Nayak, Premananda Sahu, Kaushik Mishra

“…Presently, the exponential growth of unstructured data on the web and social networks has made it increasingly challenging for individuals to retrieve relevant information efficiently. …”
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Enhancing neurological disease diagnostics: fusion of deep transfer learning with optimization algorithm for acute brain stroke prediction using facial images by Fadwa Alrowais, Mohammed Alqahtani, Jahangir Khan, Achraf Ben Miled, Da’ad Albalawneh, Abdulwhab Alkharashi, Samah Al Zanin, Radwa Marzouk

“…Initially, the image pre-processing stage applies the fuzzy-based median filter (FMF) model to eliminate the noise in input image data. …”
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Traffic Congestion in Ecuador: A Comprehensive Review, Key Factors, Impact, and Solutions of Smart Cities by Luis Roberto Jacome Galarza, Wilson Eduardo Jaramillo Sangurima, Silvia Alexandra Jaramillo Luzuriaga

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Connotation, research status, and development directions of clean coal geology in China by Yuegang TANG, Shaoqing WANG, Xiaoshuai WANG, Xin GUO, Yafeng WANG, Liping XUE, Harold H. Schobert

“…Furthermore, this study provides a comprehensive overview of the current status of research on the clean assessment, clean processing, conversion, and utilization of coal resources. …”
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Dynamic taxonomy generation for future skills identification using a named entity recognition and relation extraction pipeline by Luis Jose Gonzalez-Gomez, Sofia Margarita Hernandez-Munoz, Abiel Borja, Fernando A. Arana-Salas, Jose Daniel Azofeifa, Jose Daniel Azofeifa, Julieta Noguez, Patricia Caratozzolo, Patricia Caratozzolo

“…A custom pipeline was used for PDF text extraction, tokenization, and lemmatization to standardize the data. The models were trained and evaluated using over 1,700 annotated documents, with the training process optimized for both entity recognition and relationship prediction accuracy.ResultsThe NER and RE models demonstrated promising performance. …”
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Comparative study on Functional Machine learning and Statistical Methods in Disease detection and Weed Removal for Enhanced Agricultural Yield by Sudha D., Menaga D.

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Blockchain-Enabled Federated Learning in Healthcare: Survey and State-of-the-Art by Nasim Nezhadsistani, Naghmeh S. Moayedian, Burkhard Stiller

“…Federated learning solves such problems by distributing the learning process to several devices, but it also encounters problems like encouraging participants and model aggregation correctness. …”
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Quantification of the effects of climatic factors and anthropogenic activities on streamflow: a systematic review by Susan Ngwira, Chitsanzo Damazio

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Extended evaluation of the effect of real and simulated masks on face recognition performance by Naser Damer, Fadi Boutros, Marius Süßmilch, Florian Kirchbuchner, Arjan Kuijper

“…Recent reports have tackled this by using face images with synthetic mask‐like face occlusions without exclusively assessing how representative they are of real face masks. …”
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The Legal Infrastructures of UK Border Control—Cerberus and the Dispositif of Speculative Suspicion by Gavin Sullivan, Dimitri Van Den Meerssche

“…Legal scholarship tends to confront these changes by foregrounding the rule of law challenges associated with nascent forms of governance by data, and by imposing new regulatory standards. Yet, little is known about how these algorithmic systems are already reconfiguring legal norms and processes, while generating novel security techniques and practices for knowing and governing “risk” before the border. …”
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Machine learning-based model for behavioural analysis in rodents applied to the forced swim test by Andrea Della Valle, Sara De Carlo, Gregorio Sonsini, Sebastiano Pilati, Andrea Perali, Massimo Ubaldi, Roberto Ciccocioppo

“…Abstract The Forced Swim Test (FST) is a widely used preclinical model for assessing antidepressant efficacy, studying stress response, and evaluating depressive-like behaviours in rodents. Over the last 10 years, more than 5500 scientific articles reporting the use of the FST have been published. …”
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Spatial distribution prediction of pore pressure based on Mamba model by Xingye Liu, Xingye Liu, Bing Liu, Wenyue Wu, Qian Wang, Yuwei Liu

“…The model is a structured state-space model designed to process complex time-series data, and improve efficiency through parallel scan algorithm, making it suitable for large-scale three-dimensional data prediction. …”
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How can a measure improve assessment and management of symptoms and concerns for people with dementia in care homes? A mixed-methods feasibility and process evaluation of IPOS-Dem. by Clare Ellis-Smith, Irene J Higginson, Barbara A Daveson, Lesley A Henson, Catherine J Evans, BuildCARE

“…Quantitative data comprised IPOS-Dem data. Directed content analysis for qualitative data, and descriptive statistics were used for quantitative data.…”
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Using self-generated identification codes to match anonymous longitudinal data in a sexual health study of secondary school students: a cohort study by Edmond Pui Hang Choi, Ellie Bostwick Andres, Heidi Sze Lok Fan, Lai Ming Ho, Alice Wai Chi Fung, Kevin Wing Chung Lau, Neda Hei Tung Ng, Monique Yeung, Janice Mary Johnston

“…These findings highlight the potential of SGICs as a tool for longitudinal data matching while underscoring the need for further refinement of code generation processes and matching algorithms to minimize data wastage and improve effectiveness.…”
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Metabolic network segmentation: A probabilistic graphical modeling approach to identify the sites and sequential order of metabolic regulation from non-targeted metabolomics data. by Andreas Kuehne, Urs Mayr, Daniel C Sévin, Manfred Claassen, Nicola Zamboni

“…Thus, this approach enables the identification of mechanistic regulatory events from large-scale metabolomics data, and contributes to the understanding of metabolic processes and their interplay with cellular signaling and regulation processes.…”
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Linking Electronic Health Record Prescribing Data and Pharmacy Dispensing Records to Identify Patient-Level Factors Associated With Psychotropic Medication Receipt: Retrospective S... by Peng Wu, Jillian H Hurst, Alexis French, Michael Chrestensen, Benjamin A Goldstein

“…ObjectiveWe described a process for linking EHR prescribing data with pharmacy dispensing records from Surescripts. …”
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