Predicting the infecting dengue serotype from antibody titre data using machine learning. by Bethan Cracknell Daniels, Darunee Buddhari, Taweewun Hunsawong, Sopon Iamsirithaworn, Aaron R Farmer, Derek A T Cummings, Kathryn B Anderson, Ilaria Dorigatti

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A machine learning model for early detection of sexually transmitted infections by Juma Shija, Judith Leo, Elizabeth Mkoba

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Identifying predictors and assessing causal effect on hypertension risk among adults using Double Machine Learning models: Insights from Bangladesh Demographic and Health Survey. by Probir Kumar Ghosh, Md Aminul Islam, Md Ahshanul Haque, Md Tariqujjaman, Novel Chandra Das, Mohammad Ali, Md Rasel Uddin, Md Golam Dostogir Harun

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Breast cancer diagnosis using radiomics-guided DL/ML model-systematic review and meta-analysis by Nazmul Ahasan Maruf, Abdullah Basuhail

“…The primary objective of the search was to conduct a thorough evaluation of the literature related to radiomics analysis and breast cancer in the fields of medical informatics, computer vision, and cancer research. …”
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Design and application research of traditional Chinese medicine teaching resource recommendation system based on multivariate data mining driven algorithm by Wei Zhang, Yaqing Liu, Qiang Zhang, Xiaomin Chen

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Real-time mobile broadband quality of service prediction using AI-driven customer-centric approach by Ayokunle A. Akinlabi, Folasade M. Dahunsi, Jide J. Popoola, Lawrence B. Okegbemi

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Further observations on the security of Speck32-like ciphers using machine learning by Zezhou Hou, Jiongjiong Ren, Shaozhen Chen

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Using Identification Codes in the Two-Party Privacy-Preserving Record Linkage (PPRL) by Yanling Chen

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Expanding Interaction Potentials within Virtual Environments: Investigating the Usability of Speech and Manual Input Modes for Decoupled Interaction by Alex Stedmon, Victor Bayon, Gareth Griffiths

“…Distributed technologies and ubiquitous computing now support users who may be detached or decoupled from traditional interactions. …”
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From attributes to communities: a novel approach in social network generation by Muhtar Çağkan Uludağlı, Kaya Oğuz

“…Our method is compared against other node-attributed social network generators in the area with using both different evaluation metrics and a real-world dataset. The model properties evaluation identified ARCANE as the leading generator, with another generator ranking in a tie for first place. …”
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Analyzing cryptographic algorithm efficiency with in graph-based encryption models by Yashmin Banu, Biplab Kumar Rath, Debasis Gountia

“…This research paper investigates the efficiency of cryptographic algorithms within graph-based encryption models such as star graph, focusing on their computational performance and security robustness. In this study, we analyze the performance of RSA and ElGamal cryptographic algorithms by evaluating time and space complexity across various file types, including text, image, audio, and data of different sizes. …”
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Deep ensemble learning for gastrointestinal diagnosis using endoscopic image classification by Samra Siddiqui, Junaid Ali Khan, Shabbab Algamdi

“…The extraction of regions of interest, specifically the sick portions, have been performed using images captured from endoscopic procedure. Performance evaluation of the proposed model is performed with cross-dataset evaluation. …”
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Machine learning approaches for imputing missing meteorological data in Senegal by Mory Toure, Nana Ama Browne Klutse, Mamadou Adama Sarr, Md Abul Ehsan Bhuiyan, Annine Duclaire Kenne, Wassila Mamadou Thiaw, Daouda Badiane, Amadou Thierno Gaye, Ousmane Ndiaye, Cheikh Mbow

“…This study presents the first comprehensive evaluation in West Africa of four imputation methods, Decision Tree (DT), Random Forest (RF), Extreme Gradient Boosting (XGB), and Ordinary Kriging (OK), applied to six core meteorological variables across Senegal over a ten-year period (2015–2024). …”
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SLPDBO-BP: an efficient valuation model for data asset value by Cuiping Zhou, Shaobo Li, Cankun Xie, Panliang Yuan, Zihao Liao

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Usability and optimization of online apps in user’s context by M. Waseem Iqbal, Khlood Shinan, Shahid Rafique Shahid Rafique, Abdullah Alourani, M. Usman Ashraf, Nor Zairah Ab Rahim

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Fusion Method for Remote Sensing Image Based on Fuzzy Integral by Hui Zhou, Hongmin Gao

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Smart home environment future challenges and issues by Victoria Nozick

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Class-Based Weighted Fair Queuing Scheduling on Dual-Priority Delta Networks by D. C. Vasiliadis, G. E. Rizos, C. Vassilakis

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AI-enhanced interview simulation in the metaverse: Transforming professional skills training through VR and generative conversational AI by Abdullah Bin Nofal, Hassan Ali, Muhammad Hadi, Aizaz Ahmad, Adnan Qayyum, Aditya Johri, Ala Al-Fuqaha, Junaid Qadir

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In-Service Power Transformer Life Time Prospects: Review and Prospects by Edwell. T. Mharakurwa

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