Results 81 to 90 of about 4,684 (203)

The Tree of Life Synagogue Attack: A Terrorist Radicalization Assessment Protocol‐18 Examination of Pre‐Attack Warnings and Post‐Attack Contagion and Copycat Effects

Behavioral Sciences &the Law, Volume 44, Issue 4, Page 619-635, July/August 2026.
ABSTRACT This is a retrospective case study of an antisemitic lone actor terrorist who completed the deadliest attack against the Jewish community in American history. The analysis through the lens of the Terrorist Radicalization Assessment Protocol (TRAP‐18) finds that 72% of the warning indicators were present, including four proximal warning ...
Molly Amman, Julia Kupper, J. Reid Meloy
wiley   +1 more source

A Trusted Federated Learning Method Based on Consortium Blockchain

Information
Federated learning (FL) has gained significant attention in distributed machine learning due to its ability to protect data privacy while enabling model training across decentralized data sources.
Xiaojun Yin, Xijun Wu, Xinming Zhang
doaj   +1 more source

Applications of Artificial Intelligence in Cancer Diagnosis and Treatment

Cancer Medicine, Volume 15, Issue 8, August 2026.
This review explores how AI and multimodal data fusion transform oncology through enhanced screening, precision diagnosis, and personalized therapy. By dissecting core challenges—including data bias and explainability—it provides a strategic framework for the digital transformation and ethical implementation of AI in clinical cancer care.
Yifeng Xie, Zixuan Wang, Zhiwen Zeng, Tongyao Xin, Shaofei Yuan, Feiwei Qin, Zhonglin Chen   +6 more
wiley   +1 more source

Detecting Electrocardiogram Arrhythmia Empowered With Weighted Federated Learning

IEEE Access
In this study, a weighted federated learning approach is proposed for electrocardiogram (ECG) arrhythmia classification. The proposed approach considers the heterogeneity of data distribution among multiple clients in federated learning settings.
Rizwana Naz Asif, Allah Ditta, Hani Alquhayz, Sagheer Abbas, Muhammad Adnan Khan, Taher M. Ghazal, Sang-Woong Lee   +6 more
doaj   +1 more source

Decentralized Federated Learning for Wind Turbine Bearing Prognostics Under Data Scarcity and Statistical Heterogeneity

Energy Science &Engineering, Volume 14, Issue 8, Page 3674-3696, August 2026.
This paper proposes a decentralized peer‐to‐peer federated learning framework for wind turbine bearing remaining useful life prediction, introducing a virtual client paradigm in which statistical health indicators serve as independent feature‐level clients—enabling privacy‐preserving collaborative prognostics from a single physical asset under ...
Jihene Sidhom, Lotfi Saidi, Eric Bechhoefer   +2 more
wiley   +1 more source

Federated Active Learning (F-AL): An Efficient Annotation Strategy for Federated Learning

IEEE Access
Federated learning (FL) has been intensively investigated in terms of communication efficiency, privacy, and fairness. However, efficient annotation, which is a pain point in real-world FL applications, is less studied.
Jin-Hyun Ahn, Yeeun Ma, Seoyun Park, Cheolwoo You   +3 more
doaj   +1 more source

The FemTech revolution: Unlocking the potential of new technology for optimizing pregnancy outcomes in low‐ and middle‐income countries and remote areas

International Journal of Gynecology &Obstetrics, Volume 174, Issue 2, Page 530-553, August 2026.
Abstract Maternal and neonatal mortality and morbidity rates uncover major global health disparities. Despite ongoing efforts, the rates of maternal and neonatal complications remain substantially higher in low‐ and middle‐income countries (LMICs) compared to high‐income countries (HICs). These high rates are the result of several unmet needs in LMICs,
Nir Melamed, Hema Divakar, Mahesh Choolani, Fionnuala M. McAuliffe, Lin Foo, Hassan Shehata, Gabriel Jones, Vyta Senikas, Eline M. Van der Beek, Nandita Palshetkar, Gabriele Saccone, Vincenzo Berghella, Mauricio A. Cuello, Justin Konje, Bhaskar Bhatt, Augusto Cam, Moses Obimbo, Aris Papageorghiou, Moshe Hod, on behalf of the FIGO Committee on Women's Health and Technology   +19 more
wiley   +1 more source

Artificial Intelligence Techniques in Cardiac Neuromodulation: Mechanisms, Applications, and Pathways to Clinical Translation

Journal of Arrhythmia, Volume 42, Issue 4, August 2026.
Artificial intelligence could improve patient selection, stimulation control, and response monitoring in cardiac neuromodulation, yet direct clinical evidence remains scarce. We map available techniques onto these three challenges and argue that safe, adaptive closed‐loop control and established therapy efficacy are prerequisites for translation ...
Kshitiz Pandey, Pratik Pandey, Sushmita Khanal, Ashish Panday   +3 more
wiley   +1 more source

Revealing the Effects of Data Heterogeneity in Federated Learning Regression Models for Short-Term Solar Power Forecasting

IEEE Access
Accurate short-term power forecasting is crucial for the successful commercialization of solar energy, helping to prevent financial losses in energy markets.
Robin Nachtigall, Marc Leon Haller, Andreas Wagner, Viktor Walter   +3 more
doaj   +1 more source

Self‐Supervised Deep Learning Framework for Rician Distribution Based Denoising and Modeling of Multi‐b Prostate Diffusion MRI

Magnetic Resonance in Medicine, Volume 96, Issue 2, Page 928-942, August 2026.
ABSTRACT Purpose Convolutional neural networks (CNNs) are evaluated for improved and accelerated denoising and Rician bias correction in multi‐b DW images with simultaneous signal modeling. Methods Prostate diffusion images from 46 individuals acquired at 20 linearly distributed b‐values (bmax=2000s/mm2) without averaging were used for self‐supervised ...
Mustafa Abbas, Wenyin Zhou, Stephan E. Maier, Fredrik Langkilde, Stefan Kuczera   +4 more
wiley   +1 more source