LSTM+MA: A Time-Series Model for Predicting Pavement IRI by Tianjie Zhang, Alex Smith, Huachun Zhai, Yang Lu

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Enhanced Lightweight Quantum Key Distribution Protocol for Improved Efficiency and Security by Ashutosh Bhatia, Sainath Bitragunta, Kamlesh Tiwari

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AI-driven FMEA: integration of large language models for faster and more accurate risk analysis by Ibtissam El Hassani, Tawfik Masrour, Nouhan Kourouma, Jože Tavčar

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MD-Unet for tobacco leaf disease spot segmentation based on multi-scale residual dilated convolutions by Zili Chen, Yilong Peng, Jiadong Jiao, Aiguo Wang, Laigang Wang, Wei Lin, Yan Guo

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The YouGovern Secure Blockchain-Based Self-Sovereign Identity (SSI) Management and Access Control by Nikos Papatheodorou, George Hatzivasilis, Nikos Papadakis

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Skin cancer detection using dermoscopic images with convolutional neural network by Khadija Nawaz, Atika Zanib, Iqra Shabir, Jianqiang Li, Yu Wang, Tariq Mahmood, Amjad Rehman

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Implementing a Hybrid Quantum Neural Network for Wind Speed Forecasting: Insights from Quantum Simulator Experiences by Ying-Yi Hong, Jay Bhie D. Santos

“…The proposed model combines residual Long Short-Term Memory (LSTM) and a quantum neural network that is studied by a quantum simulator, leveraging the support of NVIDIA Compute Unified Device Architecture (CUDA). …”
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Early Detection Tool for Bladder Cancer Based on Quantum Dots Fluorescence Integrated with Fuzzy Logic Classification Application Programming Interface by Krisna Seiya Ekiawan, Evan Manuel Tan, Levina Nasywa Faustin, Verousson Ahmad, Ajeng Lintang Kinasih Suroso, Taufiq Nur Budaya, Nurussa’adah Nurussa’adah

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Real-Time Gas Path Fault Diagnosis for Aeroengines Based on Enhanced State-Space Modeling and State Tracking by Siyan Cao, Hongfu Zuo, Xincan Zhao, Chunyi Xia

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An Implicit Identity Authentication System Considering Changes of Gesture Based on Keystroke Behaviors by Jiyun Wu, Zhide Chen

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Hybridization of DEBOHID with ENN algorithm for highly imbalanced datasets by Sedat Korkmaz

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Research on the Influence of the Mounting Configuration on the Elastic Characteristics and Energy Dissipation Capacity of Multi-Leaf Springs for Truck Vehicles by Wieslaw Krason, Pawel Bogusz, Jozef Wysocki

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Epilepsy Diagnosis from EEG Signals Using Continuous Wavelet Transform-Based Depthwise Convolutional Neural Network Model by Fırat Dişli, Mehmet Gedikpınar, Hüseyin Fırat, Abdulkadir Şengür, Hanifi Güldemir, Deepika Koundal

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Machine learning algorithms for manufacturing quality assurance: A systematic review of performance metrics and applications by Ashfakul Karim Kausik, Adib Bin Rashid, Ramisha Fariha Baki, Md Mifthahul Jannat Maktum

“…This systematic review analyzes over 300 peer-reviewed studies over the last two decades (mostly analyzing the recent works) to evaluate the effectiveness of widely used ML algorithms—Artificial Neural Networks (ANNs), Support Vector Machines (SVMs), Random Forests (RFs), Decision Trees (DTs), and K-Nearest Neighbors (KNN)—in QA applications. …”
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Evaluating acute image ordering for real-world patient cases via language model alignment with radiological guidelines by Michael S. Yao, Allison Chae, Piya Saraiya, Charles E. Kahn, Walter R. Witschey, James C. Gee, Hersh Sagreiya, Osbert Bastani

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Leveraging the Power of Deep Learning Technique for Creating an Intelligent, Context-Aware, and Adaptive M-Learning Model by Muhammad Adnan, Duaa H. AlSaeed, Heyam H. Al-Baity, Abdur Rehman

“…Machine learning (ML) and deep learning (DL) algorithms work well where future estimations and predictions are required. …”
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“Diwan”: Constructing the Largest Annotated Corpus for Arabic Poetry by Badriyya B. Al-Onazi, Wadee A. Nashir, Asma A. Al-Shargabi

“…Currently available poetry corpora are often limited in scope and depth, and typically lack the comprehensive coverage required for sophisticated computational analysis tasks. To address this gap, this paper introduces “Diwan,” the largest and most precise annotated Arabic poetry dataset/corpus, designed to support scientific research and facilitate the development of AI applications in this domain. …”
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Insights into gender-equity in healthcare accessibility in northern Nigeria: descriptive and predictive approaches by Chika Yinka-Banjo, Olasupo Ajayi, Mary Akinyemi, David Tresner-Kirsch, Adekemi Omotubora

“…Descriptive analysis (using Pearson’s and Spearman’s correlation) and predictive analysis (using CATBoost, Random Forest, and Support Vector Machine) were done on the data. The descriptive analysis revealed that women with low income and education levels, and the elderly have a higher chance of accessing healthcare services compared to male and non-binary gender, while the predictive analysis revealed that, using machine learning models, it is possible to predict an individual’s accessibility to healthcare services with up to 81 % accuracy. …”
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On the Determination of the Output Power in Mono/Multicrystalline Photovoltaic Cells by Xia Liu, Yongqiu Liu, Mohammad Eslami

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Nature inspired optimization of IoT network for delay resistant and energy efficient applications by Gagandeep Kaur, Vipin Balyan, Sindhu Hak Gupta

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