Deep Learning Empowered Service Selection in FANETs: A 5G-Enabled UAV-Cloud Architecture by Mohamed Ben Bezziane, Messaoud Abbas, Hessa Alfraihi, Bouziane Brik, Yacine Khaldi, Oussama Aiadi, Hasan Siham

“…Flying Ad-Hoc Networks (FANETs), commonly referred to as drones or Unmanned Aerial Vehicles (UAVs), are increasingly transforming various industries by supporting numerous applications. In this context, a UAV can function as a cloud service provider, offering services such as memory, computing, and network connectivity to consumer UAVs. …”
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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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RADAI: A Deep Learning-Based Classification of Lung Abnormalities in Chest X-Rays by Hanan Aljuaid, Hessa Albalahad, Walaa Alshuaibi, Shahad Almutairi, Tahani Hamad Aljohani, Nazar Hussain, Farah Mohammad

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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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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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Influences of electrode density on intracranial seizure localisation: a single-blinded randomised crossover studyResearch in context by Ebenezer O. Chinedu-Eneh, Sharon Chiang, John P. Andrews, Ehsan Tadayon, Joline M. Fan, Paul A. Garcia, Ernesto Gonzalez-Giraldo, Manu Hegde, Patrick Hullett, Vikram R. Rao, Robert C. Knowlton, Edward F. Chang, Jonathan K. Kleen

“…The spatial extents of annotated SOZs for higher-density recordings were 25.4% larger on average (p = 0.011) and always closer to true SOZ extents in computer simulations, relative to lower-density. Interpretation: Epileptologists using higher-density depth and subdural intracranial EEG recordings had higher inter-rater agreement and identified larger extents of SOZs compared to lower-density recordings. …”
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Determining optimal strategies for primary prevention of cardiovascular disease: a synopsis of an evidence synthesis study by Olalekan A Uthman, Lena Al-Khudairy, Chidozie Nduka, Rachel Court, Jodie Enderby, Seun Anjorin, Hema Mistry, G J Melendez-Torres, Sian Taylor-Phillips, Aileen Clarke

“…Comparing treatments: we compared results from 139 clinical trials with over 1 million participants to rank how well different strategies work. …”
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Fluid-Dynamic and Structural Optimization of a Suction-Enabled Autonomous Grass-Cutter Robot by Shenoy Adithya Kamalaksha, Abhishek Kumar, Rithvik Marneni, Kamarul Arifin Ahmad, Spoorthi Singh, Sharul Sham Dol

“…To fill this gap, this work introduces a novel, multi-domain integration framework combining structural finite-element analysis (FEA), computational fluid dynamics (CFD) with analytical ΔP–Q and Reynolds number modelling, URDF-based Webots simulation, and Python-driven parametric studies, a unified approach not found in prior grass-cutter robot studies. …”
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Hypoxia induces robust ATP release from erythrocytes in ApoE-LDLR double-deficient mice by Fatih Celal Alcicek, Fatih Celal Alcicek, Jakub Dybas, Katarzyna Bulat, Tasnim Mohaissen, Tasnim Mohaissen, Ewa Szczesny-Malysiak, Magdalena Franczyk-Zarow, Katarzyna M. Marzec

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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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LLM-Based Response Generation for Korean Adolescents: A Study Using the NAVER Knowledge iN Q&A Dataset with RAG by Junseo Kim, Seok Jun Kim, Junseok Ahn, Suehyun Lee

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Air Quality and Healthy Ageing: Predictive Modeling of Pollutants Using CNN Quantum-LSTM by Fareena Naz, Muhammad Fahim, Adnan Ahmad Cheema, Bradley D. E. Mcniven, Tuan-Vu Cao, Ruth Hunter, Trung Q. Duong

“…Rapid growth in global population and urbanisation requires substantial efforts to ensure healthy and supportive environments to improve the quality of life, closely aligned with the principles of healthy ageing. …”
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A fast monocular 6D pose estimation method for textureless objects based on perceptual hashing and template matching by Jose Moises Araya-Martinez, Jose Moises Araya-Martinez, Vinicius Soares Matthiesen, Vinicius Soares Matthiesen, Simon Bøgh, Jens Lambrecht, Rui Pimentel de Figueiredo

“…Our set of experiments on a synthetically generated dataset reveals a trade-off between accuracy and computation time superior to a previous work on the same automotive-production use case. …”
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A Multimodal Pain Sentiment Analysis System Using Ensembled Deep Learning Approaches for IoT-Enabled Healthcare Framework by Anay Ghosh, Saiyed Umer, Bibhas Chandra Dhara, G. G. Md. Nawaz Ali

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Novel insights into post-myocardial infarction cardiac remodeling through algorithmic detection of cell-type composition shifts. by Brian Gural, Logan Kirkland, Abigail Hockett, Peyton Sandroni, Jiandong Zhang, Manuel Rosa-Garrido, Samantha K Swift, Douglas J Chapski, Michael A Flinn, Caitlin C O'Meara, Thomas M Vondriska, Michaela Patterson, Brian C Jensen, Christoph D Rau

“…RNAscope validation supported the composition-aware findings for key genes. …”
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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

“…Besides, “Diwan” is constructed and structured in a way enables AI-powered analysis and deep-learning-based analysis to work accurately. By providing an unprecedented foundation for computational exploration of Arabic poetry, Diwan opens up new avenues and possibilities for intelligent applications and promotes the digital analysis of this rich literary heritage.…”
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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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