Predicting Pharmacokinetics in Rats Using Machine Learning: A Comparative Study Between Empirical, Compartmental, and PBPK‐Based Approaches by Moritz Walter, Ghaith Aljayyoussi, Bettina Gerner, Hermann Rapp, Christofer S. Tautermann, Pavel Balazki, Miha Skalic, Jens M. Borghardt, Lina Humbeck

Subjects: “…compartmental‐ML…”
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Real-Time Diagnostics on a QKD Link via QBER Time-Series Analysis by Georgios Maragkopoulos, Aikaterini Mandilara, Thomas Nikas, Dimitris Syvridis

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Microcontroller-Based EdgeML: Health Monitoring for Stress and Sleep via HRV by Priyanshu Srivastava, Namita Shah, Kavita Jaiswal

Subjects: “…TinyML…”
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Emerging Trends in AI-Based Soil Contamination Monitoring and Prevention by Cosmina-Mihaela Rosca, Adrian Stancu

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Tiny Machine Learning and On-Device Inference: A Survey of Applications, Challenges, and Future Directions by Soroush Heydari, Qusay H. Mahmoud

Subjects: “…TinyML…”
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Congestion Control Prediction Model for 5G Environment Based on Supervised and Unsupervised Machine Learning Approach by Mohammed B. Alshawki, Ihab Ahmed Najm, Alaa Khalaf Hamoud

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Improving Threat Detection in Wazuh Using Machine Learning Techniques by Samir Achraf Chamkar, Mounia Zaydi, Yassine Maleh, Noreddine Gherabi

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Hybrid signal algorithm detection in NOMA 5G waveform: Transforming smart healthcare connectivity by reducing latency by Arun Kumar, Nishant Gaur, Aziz Nanthaamornphong

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Optimising TinyML with quantization and distillation of transformer and mamba models for indoor localisation on edge devices by Thanaphon Suwannaphong, Ferdian Jovan, Ian Craddock, Ryan McConville

Subjects: “…TinyML…”
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Explainability in machine learning: a pedagogical perspective by Andreas Bueff, Ioannis Papantonis, Auste Simkute, Vaishak Belle

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Improving segmentation of FIB tomography data by Ritter Martin, Sardhara Trushal, Aydin Roland, Cyron Christian

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Enhancing drilling performance in 3D printed PLA implants application of PIV and ML models by K Shunmugesh, M Ganesh, R Bhavani, M. Adam Khan, M. Saravana Kumar, L. Rajeshkumar, Priyanka Mishra, Rajesh Jesudoss Hynes Navasingh, Angela Jennifa Sujana J, Jana Petru, Čep Robert

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Smart Lighting Systems: State-of-the-Art in the Adoption of the EdgeML Computing Paradigm by Gaetanino Paolone, Romolo Paesani, Francesco Pilotti, Jacopo Camplone, Andrea Piazza, Paolino Di Felice

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A SIC and ML approach for MIMO non-orthogonal multiple access signal detection by Arun Kumar, Nishant Gaur, Aziz Nanthaamornphong

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Efficient Detection of Microplastics on Edge Devices With Tailored Compiler for TinyML Applications by Alessandro Cerioli, Lorenzo Petrosino, Daniele Sasso, Clement Laroche, Tobias Piechowiak, Luca Pezzarossa, Mario Merone, Luca Vollero, Anna Sabatini

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Some Granular Computing Based Machine Learning Algorithms by Vijay R. Tiwari

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Advanced Artificial Intelligence Techniques for Comprehensive Dermatological Image Analysis and Diagnosis by Serra Aksoy, Pinar Demircioglu, Ismail Bogrekci

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Deepmol: an automated machine and deep learning framework for computational chemistry by João Correia, João Capela, Miguel Rocha

Subjects: “…AutoML…”
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Comparative analysis of machine learning methodologies and technologies by Mukhitdinova Kh. Munavvarkhon

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A Scoping Review and Assessment Framework for Technical Debt in the Development and Operation of AI/ML Competition Platforms by Dionysios Sklavenitis, Dimitris Kalles

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