AIMC Topic: Recognition, Psychology

Clear Filters Showing 131 to 140 of 284 articles

On the Post Hoc Explainability of Optimized Self-Organizing Reservoir Network for Action Recognition.

Sensors (Basel, Switzerland)
This work proposes a novel unsupervised self-organizing network, called the Self-Organizing Convolutional Echo State Network (SO-ConvESN), for learning node centroids and interconnectivity maps compatible with the deterministic initialization of Echo...

An Intelligent System for Proper Management and Disposal of Unused and Expired Medications.

International journal of environmental research and public health
For years, several countries have been concerned about how to dispose of unused pharmaceuticals that can endanger human health and the environment. Moreover, some people are in desperate need of medical attention and medications, but they lack the fi...

Synaptic Learning With Augmented Spikes.

IEEE transactions on neural networks and learning systems
Traditional neuron models use analog values for information representation and computation, while all-or-nothing spikes are employed in the spiking ones. With a more brain-like processing paradigm, spiking neurons are more promising for improvements ...

Smart Contract Vulnerability Detection Model Based on Multi-Task Learning.

Sensors (Basel, Switzerland)
The key issue in the field of smart contract security is efficient and rapid vulnerability detection in smart contracts. Most of the existing detection methods can only detect the presence of vulnerabilities in the contract and can hardly identify th...

VGGFace-Ear: An Extended Dataset for Unconstrained Ear Recognition.

Sensors (Basel, Switzerland)
Recognition using ear images has been an active field of research in recent years. Besides faces and fingerprints, ears have a unique structure to identify people and can be captured from a distance, contactless, and without the subject's cooperation...

Application of Fuzzy and Rough Logic to Posture Recognition in Fall Detection System.

Sensors (Basel, Switzerland)
Considering that the population is aging rapidly, the demand for technology for aging-at-home, which can provide reliable, unobtrusive monitoring of human activity, is expected to expand. This research focuses on improving the solution of the posture...

Recognition of Bookmark Aging Degree Based on Probabilistic Neural Network.

Computational intelligence and neuroscience
Bookmarks are the basis for librarians to get books on and off shelves and borrowers to borrow books. In order to solve the problem of time-consuming and labor-consuming manual checking of bookmark aging, this paper proposes a method of bookmark agin...

Unknown Object Detection Using a One-Class Support Vector Machine for a Cloud-Robot System.

Sensors (Basel, Switzerland)
Inter-robot communication and high computational power are challenging issues for deploying indoor mobile robot applications with sensor data processing. Thus, this paper presents an efficient cloud-based multirobot framework with inter-robot communi...

Noise Immunity and Robustness Study of Image Recognition Using a Convolutional Neural Network.

Sensors (Basel, Switzerland)
The problem surrounding convolutional neural network robustness and noise immunity is currently of great interest. In this paper, we propose a technique that involves robustness estimation and stability improvement. We also examined the noise immunit...

Implementation of Sequence-Based Classification Methods for Motion Assessment and Recognition in a Traditional Chinese Sport (Baduanjin).

International journal of environmental research and public health
This study aimed to assess the motion accuracy of Baduanjin and recognise the motions of Baduanjin based on sequence-based methods. Motion data of Baduanjin were measured by the inertial sensor measurement system (IMU). Fifty-four participants were r...