Results 231 to 240 of about 85,609 (269)

How Adversarial attacks affect Deep Neural Networks Detecting COVID-19?

, 2021
Gougeh RA.
europepmc   +1 more source

A Blockchain‐Less Traceability System for Agriculture Using DAG, IPFS, and Serverless Deployments

International Journal of Network Management, Volume 36, Issue 3, May/June 2026.
ABSTRACT Ensuring transparency and integrity in agricultural data management is a critical challenge as the sector increasingly relies on advanced technologies. The primary problem is maintaining data traceability and security throughout the supply chain.
Antonio Villafranca, Igor Tasic, Victor Gallegos, Almudena Gimenez, Jesus Ochoa Rego, Juan Antonio Fernandez, Maria‐Dolores Cano   +6 more
wiley   +1 more source

Why Autonomous Vehicles Are Not Ready Yet: A Multi‐Disciplinary Review of Problems, Attempted Solutions, and Future Directions

Journal of Field Robotics, Volume 43, Issue 3, Page 2254-2341, May 2026.
ABSTRACT Personal autonomous vehicles can sense their surrounding environment, plan their route, and drive with little or no involvement of human drivers. Despite the latest technological advancements and the hopeful announcements made by leading entrepreneurs, to date no personal vehicle is approved for road circulation in a “fully” or “semi ...
Xingshuai Dong, Massimiliano Cappuccio, Fady Alnajjar, Luqman Ali, Hamad Al Jassmi, Essam Debie, Milad Ghasrikhouzani, Alessandro Lanteri, Tate McGregor, Oleksandra Molloy, Alice Plebe, Michael Regan, Eduardo Sandoval, Dongmo Zhang   +13 more
wiley   +1 more source

How to grow new applications out of old research? Evidence from firm cumulative investments in deep learning

Strategic Management Journal, Volume 47, Issue 5, Page 1333-1367, May 2026.
Abstract Research Summary Firm technological research has the potential to spawn multiple applications. Despite recognizing such potential, past literature disagrees on the process through which firms discover and grow new applications out of their past technological research.
Xirong (Subrina) Shen
wiley   +1 more source

Lifecycle‐Based Governance to Build Reliable Ethical AI Systems

Systems Research and Behavioral Science, Volume 43, Issue 3, Page 1116-1132, May/June 2026.
ABSTRACT Artificial intelligence (AI) systems represent a paradigm shift in technological capabilities, offering transformative potential across industries while introducing novel governance and implementation challenges. This paper presents a comprehensive framework for understanding AI systems through three critical dimensions: trustworthiness ...
Maikel Leon
wiley   +1 more source

Traceable Metamorphic Test Cases for Robust Safety‐Critical Systems: A Deep Learning LiDAR Object Detector Example

Software Testing, Verification and Reliability, Volume 36, Issue 3-4, May–June 2026.
Metamorphic testing faces the challenge of providing a traceable argumentation for why a certain metamorphic relation (MR) was chosen. We propose a methodology to create MRs by linking them to defect hypotheses. We identify eight defect‐based MRs and show how failures can be prioritized by adjusting test evaluation parameters.
Simon Speth, Tobias Springer, Jannik Fischbach, Alexander Pretschner   +3 more
wiley   +1 more source

AI‐Enabled Imaging for Pathogen Detection Under Stress Conditions: A Systematic Review

Comprehensive Reviews in Food Science and Food Safety, Volume 25, Issue 3, May 2026.
ABSTRACT Advances in pathogen detection that incorporate artificial intelligence (AI) may capture microbial signals under challenging environmental conditions that traditional methods miss. This systematic review evaluates the application, performance, and methodological characteristics of AI‐enabled imaging for pathogen detection, including its impact
MeiLi Papa, Gillian Kuehnle, Yoo Jung (Erika) Oh, Jiyoon Yi   +3 more
wiley   +1 more source

Automated Melanocytic Lesion Classification: Capsule Networks Trained With Synthetic Images Can Outperform Networks Trained With Real Images

Australasian Journal of Dermatology, Volume 67, Issue 3, Page e169-e175, May 2026.
ABSTRACT Background/Objectives Convolutional neural networks (CNNs) are known, due to inherent flaws in their design, to be subject to classification error. Many of these shortcomings in classification performance were addressed in 2017 with the introduction of capsule networks (CNs).
Hayley Chai, Stephen Gilmore
wiley   +1 more source

On account of doomsday

American Ethnologist, Volume 53, Issue 2, Page 159-170, May 2026.
Abstract In recent years, Berlin has emerged as an epicenter of climate activism in Germany. There, a range of groups have mobilized in opposition to the role of the German state and the EU in accelerating the climate crisis. Many activists now see conventional political responses as exhausted and have turned to increasingly radical forms of civil ...
Max Jack
wiley   +1 more source