Latency and energy-efficient multi-hop routing protocol for unmanned aerial vehicle networks by Abdelhamied A Ateya, Ammar Muthanna, Irina Gudkova, Yuliya Gaidamaka, Abeer D Algarni

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Developing a Transparent Anaemia Prediction Model Empowered With Explainable Artificial Intelligence by Muhammad Sajid Farooq, Muhammad Hassan Ghulam Muhammad, Oualid Ali, Zahid Zeeshan, Muhammad Saleem, Munir Ahmad, Sagheer Abbas, Muhammad Adnan Khan, Taher M. Ghazal

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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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Nanoantennas and metasurfaces tailored by electron beam lithography and substrate conductivity by Li Liu, Aaron Holzer, Neal Raney, Viktoriia E. Babicheva

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Modeling interpersonal perception in dyadic interactions: towards robot-assisted social mediation in the real world by Hifza Javed, Weinan Wang, Weinan Wang, Affan Bin Usman, Nawid Jamali

“…We discuss implications for real-world deployment and highlight the limitations of current work. Our work represents a step towards developing computational models of relational affect tailored for real-world social mediation, offering insights into effective mediation strategies for social mediator robots.…”
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LSTM+MA: A Time-Series Model for Predicting Pavement IRI by Tianjie Zhang, Alex Smith, Huachun Zhai, Yang Lu

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

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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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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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Design, Implementation and Practical Energy-Efficiency Evaluation of a Blockchain Based Academic Credential Verification System for Low-Power Nodes by Gabriel Fernández-Blanco, Iván Froiz-Míguez, Paula Fraga-Lamas, Tiago M. Fernández-Caramés

“…The proposed solution is evaluated in terms of performance and energy efficiency, comparing the results obtained with a traditional Proof-of-Work (PoW) consensus protocol and the new Proof-of-Authority (PoA) protocol. …”
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Laser sintering of silver-palladium ink for on-demand manufacturing of electronics for space applications by Ellie Schlake, Sagar Kumar Verma, Nirmala Kandadai

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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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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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A review: Multi-Objective Algorithm for Community Detection in Complex Social Networks by Mariwan Wahid Ahmed, Kamaran Faraj

“…Which are analyzed by 15 different approaches in order to choose from works published during the period 2019–2024. These strengths and limitations of various MOAs are reviewed with a comparative analysis to provide insights into both the effectiveness and computational efficiency of these methods. …”
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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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A Performance Analysis of Business Intelligence Techniques on Crime Prediction by Ivan, Niyonzima, Emmanuel Ahishakiye, Elisha Opiyo Omulo, Ruth Wario

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A lightweight and explainable CNN model for empowering plant disease diagnosis by Chiranjit Pal, Swastik Karmakar, Imon Mukherjee, Partha Pratim Chakrabarti

“…The experimental results conducted in the current work highlight Mob-Res as a promising solution for automated plant disease detection, supporting large-scale agricultural operations and advancing global food security.…”
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