Results 31 to 40 of about 66,060 (274)

High‐Fidelity Synthetic Data Replicates Clinical Prediction Performance in a Million‐Patient Diabetes Cohort

Advanced Science, EarlyView.
This study generates high‐fidelity synthetic longitudinal records for a million‐patient diabetes cohort, successfully replicating clinical predictive performance. However, deeper analysis reveals algorithmic biases and trajectory inconsistencies that escape standard quality metrics. These findings challenge current validation norms, demonstrating why a
Francisco Ortuño, Víctor M. de la Oliva Roque, Javier‐Ignacio Ramirez‐Lopez, David P. Kreil, Joaquín Dopazo, Carlos Loucera   +5 more
wiley   +1 more source

Integrating whole‐bone and regional analyses to understand human scapular growth

The Anatomical Record, EarlyView.
Abstract This study investigates ontogenetic changes in human scapular morphology using three‐dimensional geometric morphometrics with whole‐bone and region‐specific analyses. The aim is to evaluate whether the scapula follows a regular developmental pattern and whether its functionally distinct components, the scapular spine (SS) and glenoid fossa ...
Azahara Salazar‐Fernández, José Miguel Carretero, Laura Rodríguez, Rebeca García‐González   +3 more
wiley   +1 more source

Learning From Few Cyber-Attacks: Addressing the Class Imbalance Problem in Machine Learning-Based Intrusion Detection in Software-Defined Networking

IEEE Access, 2023
The class imbalance problem negatively impacts learning algorithms’ performance in minority classes which may constitute more severe attacks than the majority ones.
Seyed Mohammad Hadi Mirsadeghi, Hayretdin Bahsi, Risto Vaarandi, Wissem Inoubli   +3 more
doaj   +1 more source

Zipper Pattern: An Investigation into Psychotic Criminal Detection Using EEG Signals

Diagnostics
Background: Electroencephalography (EEG) signal-based machine learning models are among the most cost-effective methods for information retrieval.
Gulay Tasci, Prabal Datta Barua, Dahiru Tanko, Tugce Keles, Suat Tas, Ilknur Sercek, Suheda Kaya, Kubra Yildirim, Yunus Talu, Burak Tasci, Filiz Ozsoy, Nida Gonen, Irem Tasci, Sengul Dogan, Turker Tuncer   +14 more
doaj   +1 more source

Exploring Bankruptcy Attorneys' Experiences With Clients Exhibiting Suicidality: Challenges and Recommendations for Suicide Prevention

Behavioral Sciences &the Law, EarlyView.
ABSTRACT Bankruptcy and financial distress commonly precipitate suicidal crises, putting bankruptcy attorneys in potentially difficult situations with clients. This qualitative study explored attorneys' experiences with clients' risk for suicide and attorneys' recommendations for suicide prevention.
John R. Blosnich, Jeanne M. Ward, Melissa Perkins, Marissa Ding, Susan De Luca   +4 more
wiley   +1 more source

Advancements in detecting Deepfakes: AI algorithms and future prospects − a review

Discover Internet of Things
The rise of Deepfake technology in the information age provided significant challenges in ensuring the reliability and authenticity of digital media content.
Laishram Hemanta Singh, Panem Charanarur, Naveen Kumar Chaudhary   +2 more
doaj   +1 more source

A Systematic Literature Review of Cyber Security Monitoring in Maritime

IEEE Access
In recent years, many cyber incidents have occurred in the maritime sector, targeting the information technology (IT) and operational technology (OT) infrastructure.
Risto Vaarandi, Leonidas Tsiopoulos, Gabor Visky, Muaan Ur Rehman, Hayretdin Bahsi   +4 more
doaj   +1 more source

DexMonitor: Dynamically Analyzing and Monitoring Obfuscated Android Applications

IEEE Access, 2018
Both Android application developers and malware authors use sophisticated obfuscation tools to prevent their mobile applications from being repackaged and analyzed.
Haehyun Cho, Jeong Hyun Yi, Gail-Joon Ahn   +2 more
doaj   +1 more source

Bitcoin forensics: a tutorial [PDF]

, 2016
Over the past eighteen months, the digital cryptocurrency Bitcoin has experienced significant growth in terms of usage and adoption. It has also been predicted that if this growth continues then it will become an increasingly useful tool for various ...
Hara, Sukhvinder, Mitchell, Ian, Neilson, David   +2 more
core   +1 more source

Adolescent Cyberviolence in South Korea: A Multi‐Year, National Population‐Based Study of Cyberviolence Prevalence (2017–2024)

Behavioral Sciences &the Law, EarlyView.
ABSTRACT With the rise of digital technology, adolescent cyberviolence has become a growing global concern in public health and criminal justice. This study used nationally representative data from South Korea (2017–2024) to examine the prevalence of eight types of cyberviolence (i.e., verbal abuse, defamation, stalking, sexual abuse, personal ...
Heng Choon (Oliver) Chan, Hong‐Jun Park, Evelyn Svingen   +2 more
wiley   +1 more source