Results 51 to 60 of about 78,546 (297)

RobustRailNet: Architecture-Driven Adversarial Robustness for Safety-Critical Railway Obstacle Perception

IEEE Access
State-of-the-art architectures for automated railway safety surveillance achieve high benchmark accuracies; however, such systems are systematically vulnerable to adversarial perturbations.
Luca Eisentraut, Susan Bertram, Walter Koehn, Ricardo Buettner   +3 more
doaj   +1 more source

Texoskeletons: Developing the Fundamental Technologies for Creating Intelligent Soft Robotic Clothing With Integrated 1D Sensors and Actuators

Advanced Functional Materials, EarlyView.
ABSTRACT Traditional wearable exoskeletons rely on rigid structures, which limit comfort, flexibility, and everyday usability. This work introduces the fundamental technologies to create the first soft, lightweight, intelligent textile‐based exoskeletons (Texoskeletons) built using 1D sensors and actuators.
Amy Lukomiak, Rameesh Bulathsinghala, Jack Varga, Shuxin Meng, Kalana Marasinghe, Imaad Refai, Biyon Fernando, Amitkumar Patel, Chamika M. Halloluwa‐Arachchige, Carlos Oliveira, Arash M. Shahidi, Zahra Rahemtulla, Alexander Turner, Ziyun Ding, Bernard X. W. Liew, Andy Kerr, Ezio Preatoni, Theo Hughes‐Riley, Ishara Dharmasena, Pasindu Lugoda   +19 more
wiley   +1 more source

AsphaltCrackNet: A Novel Architecture for Classifying Cracks in Asphalt Pavement

IEEE Access
Public roads and highways span hundreds of thousands of kilometers, and asphalt is the most widely used material for road construction. However, increasing traffic loads make it prone to wear and cracking, requiring efficient, scalable monitoring and ...
Leopold Fischer-Brandies, Susan Bertram, Christopher Mai, Ricardo Buettner   +3 more
doaj   +1 more source

Machine Learning‐Assisted Inverse Design of Soft and Multifunctional Hybrid Liquid Metal Composites

Advanced Functional Materials, EarlyView.
A machine learning framework is presented for inverse design of synthesizable multifunctional composites containing both liquid metal and solid inclusions. By integrating physics‐based modeling, data‐driven prediction, and Bayesian optimization, the approach enables intelligent design of experiments to identify optimal compositions and realize these ...
Lijun Zhou, Yunsik Ohm, Ren‐Mian Chin, Olivia Kerr, Krithika Manohar, Mohammad H. Malakooti   +5 more
wiley   +1 more source

AAAI-MAKE 2022 : machine learning and knowledge engineering for hybrid intelligence [PDF]

, 2022
The AAAI 2022 Spring Symposium on Machine Learning and Knowledge Engineering for Hybrid Intelligence (AAAI-MAKE 2022) brought together researchers and practitioners of the two fields to reflect on advances in combining them, and to present the first ...
Martin, Andreas, Hinkelmann, Knut
core  

A Novel Transformer-CNN Hybrid Deep Learning Architecture for Robust Broad-Coverage Diagnosis of Eye Diseases on Color Fundus Images

IEEE Access
We present a novel and robust deep-learning architecture that takes into account the pathological characteristics of eye diseases on color fundus images.
Celina Rieck, Christopher Mai, Luca Eisentraut, Ricardo Buettner   +3 more
doaj   +1 more source

Integrated Field‐Free SOT Domain‐Wall Synapses and MTJ Stochastic Neurons for Hardware Boltzmann Machines

Advanced Functional Materials, EarlyView.
Field‐free spin‐orbit torque domain‐wall synapses integrated with stochastic MTJ neurons enable compact hardware Boltzmann machines. Leveraging intrinsic stochasticity and multi‐level conductance, the system achieves efficient probabilistic learning with high accuracy, demonstrating a scalable spintronic platform for energy‐efficient edge AI.
Aijaz H. Lone, Meng Tang, Camelia Florica, Bin He, Jingkai Xu, Selma Amara, Georgian Melinte, Xixiang Zhang, Gianluca Setti   +8 more
wiley   +1 more source

Oracle Bone Inscription Character Recognition Based on a Novel Convolutional Neural Network Architecture

IEEE Access
Oracle bone inscriptions (OBIs) are one of the oldest characters in the world and are the predecessors of today’s Chinese characters. These oracle characters recorded various human activities of the time and provide insights into Chinese history ...
Christopher Mai, Pascal Penava, Ricardo Buettner   +2 more
doaj   +1 more source

Advances in Sustainable and Wearable Textile Based Soft Robotics

Advanced Functional Materials, EarlyView.
This Review examines advances in wearable textile‐based soft robotics, focusing on sustainable materials, integrated sensing, and scalable actuation. It discusses manufacturing and system integration across healthcare, assistive robotics, prosthetics, and human–machine interfaces, and highlights key challenges in circular design, including life‐cycle ...
Zahir Abbas, Marzia Dulal, Sophia K. Novoselov, Victoria K. Novoselov, Kostya S. Novoselov, Shaila Afroj, Nazmul Karim   +6 more
wiley   +1 more source

A Systematic Literature Review of Current Machine Learning Approaches for Detecting GNSS Spoofing Attacks

IEEE Access
Global Navigation Satellite System (GNSS) spoofing attacks become increasingly important due to their impact on navigation security as well as their significant risks to privacy and infrastructure in civilian and military domains.
Susan Bertram, Luca Eisentraut, Ricardo Buettner   +2 more
doaj   +1 more source