Homogeneous integration of two-dimensional material-based
Integrating volatile optical sensing with non-volatile memory is crucial for neuromorphic vision applications. Wang et al. propose a homogeneous integration scheme that combines
Such signals contain unique identifiable information that can help in biometric authentication. The present application relates to an optoelectronic fusion reconfigurable analog intelligent computing ...
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Integrating volatile optical sensing with non-volatile memory is crucial for neuromorphic vision applications. Wang et al. propose a homogeneous integration scheme that combines
Persistent challenges include inadequate system flexibility, a limited dataset for recognition, and less-than-optimal recognition accuracy. Herein, an intelligent soft robotic system
In order to better apply the optoelectronic fused computing platform in the multi-function integrated technology, the research status of the optoelectronic fused computing platform are reviewed.
We propose a multi-image SPI encryption method and combine it with orthogonal frequency division multiplexing-assisted key management, to
In this case, the lightweight physical layer authentication (PLA) mechanism utilizes the inherent distinctiveness and unpredictable nature of channel physical properties, serving as a vital
Request PDF | On Mar 3, 2026, Zhoudao Wang and others published Solution-Processed Optoelectronic Fusion-Upconversion Devices for Intelligent Perception and Communication | Find,
The combination of multiple biometric dependability of human authentication and recognition systems which is referred to as multibiometric image sensor fusion, and it is an advanced
It will allow for the multi-functional integration of communications, sensing, and computing chips, as well as optoelectronic intelligent chips, promoting
Our solution establishes a robust foundation for scalable, low-latency key distribution and dynamic authentication, addressing the evolving security demands of modern user-intensive/device-dense
From the discussion in the literature study, we observe that the deep fusion techniques have not been fully leveraged for a robust ECG authentication system. To this end, we have
The recent proliferation of artificial intelligence and machine learning applications relying on large language models is fueling unprecedented demand for compute capacity. Associated with this is a
Such signals contain unique identifiable information that can help in biometric authentication. In this work, we propose Fusion-ID, which use wrist-worn PPG sensors fused with motion sensor data as a
Machine vision is supported and enhanced by optoelectronic devices, the output from a machine vision system is information about the content of the
The study adds to security development by integrating novel biometric identification and authentication approaches with cutting-edge neural network technology. In this research, we provide
This paper proposes a multimodal data fusion authentication model based on deep learning, aiming to improve the security and authentication accuracy in the remote management of power systems. By
Multi-biometric fusion techniques have been created in response to these difficulties in order to get around the constraints of individual biometric features. The authentication method
We finally demonstrate the implementation of efficient lightweight mutual authentication protocols for IoT applications by using the all-Si multidimensionally-encoded optical PUFs.
In this paper, we introduce a new technique to perform fusion at the feature level by optimal feature level fusion; here the relevant features are selected using an optimization technique.
Optoelectronic integration may be most straightforward when combining superconducting circuits with silicon light sources operating at liquid
Aiming at the problems of single spectral image reconnaissance data in complex environments, such as inability to work around the clock, poor anti-interference ability, and low detail recognition of important
Optoelectronic Computing Computing power is an important support for the development of artificial intelligence (AI). With the saturation of the Moore''s law, the development of emerging intelligent
The present application relates to an optoelectronic fusion reconfigurable analog intelligent computing system and a task learning method therefor.
This chapter presents the application of optoelectronic devices fusion as the base for those systems with non-lineal behavior supported by artificial intelligence techniques, which require the use of