Results 151 to 160 of about 7,080 (311)

Micro Biomimetic Eyeball for Humanoid Robots: A Visual System with High‐Density Functional Integration Based on an Origami Mechanism

open access: yesAdvanced Science, Volume 13, Issue 1, 5 January 2026.
A biomimetic eyeball system (BES) based on a 3‐DOF miniature origami mechanism, which addresses the inherent issues of large size and weight in traditional electromechanical BESs is presented. Moreover, it maintains a level of visual functionality comparable to that of the human eye, including capabilities such as rapid scanning, target recognition ...
Junji Pu   +6 more
wiley   +1 more source

Forecasting Research Trends Using Knowledge Graphs and Large Language Models

open access: yesAdvanced Intelligent Systems, Volume 8, Issue 1, January 2026.
When research trends can be anticipated, academia and industry are able to allocate limited resources more effectively and accelerate innovation. By constructing knowledge graphs using large language models, this study analyzes the time evolution of nuclear materials research concepts and suggests a data‐driven approach of forecasting research trends ...
Maciej Tomczak   +7 more
wiley   +1 more source

A Memristive Associative Learning Circuit for Fault‐Tolerant Multi‐Sensor Fusion in Autonomous Vehicles

open access: yesAdvanced Intelligent Systems, Volume 8, Issue 1, January 2026.
A memristor‐based associative learning circuit is presented for real‐time, fault‐tolerant sensor fusion in autonomous systems. The circuit mimics biological learning to recognize driving scenarios even with missing or degraded sensor inputs. Its low‐power, analog architecture enables robust decision‐making across diverse conditions, offering a ...
Kapil Bhardwaj   +3 more
wiley   +1 more source

Deep Learning Architectures for Software Fault Prediction: The Impact of Error‐Type Metrics and Class Imbalance

open access: yesConcurrency and Computation: Practice and Experience, Volume 38, Issue 1, January 2026.
ABSTRACT Software fault prediction (SFP) plays a crucial role in modern software development by enabling early identification of fault‐prone modules and efficient allocation of testing resources. While deep learning approaches have shown promise in this domain, challenges persist regarding architectural choices, metric selection, and class imbalance ...
Khoa Phung   +2 more
wiley   +1 more source

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