Tissue-Mimicking Phantoms: From Imitating Human Tissue to Measurement Reliability: A Review of the Metrological Evaluation of Tissue-Mimicking Phantoms in Acoustic, Optical, and Photoacoustic Imaging

Cognitive Cyborgification: A Bloom-Based Framework for Measuring the Externalization of Human Cognition to AI

K. Yamada

The externalization of cognitive abilities to tools is not new. Writing externalized memory; calculators externalized computation; search engines externalized knowledge retrieval. Each generation lost the skills its predecessors possessed, naturalized its tools, and claimed autho…Read more

Deep Learning for Human Activity Recognition: A Comprehensive Review of Architectures, Performance, and Challenges Across Five Sensory Datasets

Abeer FathAllah Brery, Ascensión Gallardo-Antolín, Mahmoud Fakhry, Israel Gonzalez-Carrasco

Human activity recognition (HAR) using sensor data allows the automatic detection of human behavior and actions in everyday environments. The development of scalable and privacy-preserving HAR systems is supported by the nonintrusive collection of time-series data using wearable…Read more

Also available via: European Organization for Nuclear Research

Comparative Analysis of Machine Learning Classification Algorithms and Hybrid Models for Student Performance Prediction

Ms. Pooja C. Soni, Dr. Hetal R. Modi, PC Negi

This study focuses on the analysis and comparison of machine learning classification algorithms and hybrid machine learning models for predicting student academic performance. Educational Data Mining techniques are used to extract meaningful insights from student datasets. Variou…Read more

Testing the Transition from AI Advantage to Practical Dependence A Minimal Knowledge-Work Pilot Protocol

Karel Hrubec

Testing the Transition from AI Advantage to Practical Dependence: A Minimal Knowledge-Work Pilot Protocol presents a preregistration-ready experimental design for testing two early mechanisms through which a local generative-AI advantage might contribute to practical dependence i…Read more

Low Dose and High Contrast Biomedical Imaging Using SelfSupervised Deep Learning

Xiao Fan Ding, Xiaoman Duan, Ning Zhu

Self-supervised deep learning has emerged as a powerful method for image enhancement when a priori ground-truth references are not available. Stemming from Noise2Noise , it was shown that a convolutional neural network (CNN) can be trained from a noisy input and target pair of th…Read more

Also available via: European Organization for Nuclear Research

Output Management Plan For Its Honesty and Integrity

K. Yamada

July 25, 2026. Paper Permission: What Publisher AI Policies Allow and Practice Withholds AFS3.6: Paper Permission: What Publisher AI Policies Allow and Practice Withholds Names Paper Permission: a permission present in the text of publisher policy and largely absent from open pra…Read more