AIMC Topic: Learning

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A Low-Power Analog Processor-in-Memory-Based Convolutional Neural Network for Biosensor Applications.

Sensors (Basel, Switzerland)
This paper presents an on-chip implementation of an analog processor-in-memory (PIM)-based convolutional neural network (CNN) in a biosensor. The operator was designed with low power to implement CNN as an on-chip device on the biosensor, which consi...

Semisupervised Learning via Axiomatic Fuzzy Set Theory and SVM.

IEEE transactions on cybernetics
In this article, we present a semantic semisupervised learning (Semantic SSL) approach targeted at unifying two machine-learning paradigms in a mutually beneficial way, where the classical support vector machine (SVM) learns to reveal primitive logic...

ALSA: Adversarial Learning of Supervised Attentions for Visual Question Answering.

IEEE transactions on cybernetics
Visual question answering (VQA) has gained increasing attention in both natural language processing and computer vision. The attention mechanism plays a crucial role in relating the question to meaningful image regions for answer inference. However, ...

Visual Sentiment Analysis With Social Relations-Guided Multiattention Networks.

IEEE transactions on cybernetics
These days, social media users tend to express their feelings through sharing images online. Capturing the emotions embedded in these social images involves great research challenges and practical values. Most existing works concentrate on extracting...

An Autoencoder Framework With Attention Mechanism for Cross-Domain Recommendation.

IEEE transactions on cybernetics
In recent years, the recommender system has been widely used in online platforms, which can extract useful information from giant volumes of data and recommend suitable items to the user according to user preferences. However, the recommender system ...

Immersive Learning Method of Ideological and Political Education under Big Data and Artificial Intelligence.

Computational intelligence and neuroscience
The study aims to explore the influence of big data on college students' learning methods of ideological and political education (IPE) under artificial intelligence. First, the characteristics of big data are analyzed. Second, big data is introduced ...

Feature Refine Network for Salient Object Detection.

Sensors (Basel, Switzerland)
Different feature learning strategies have enhanced performance in recent deep neural network-based salient object detection. Multi-scale strategy and residual learning strategies are two types of multi-scale learning strategies. However, there are s...

A framework for the general design and computation of hybrid neural networks.

Nature communications
There is a growing trend to design hybrid neural networks (HNNs) by combining spiking neural networks and artificial neural networks to leverage the strengths of both. Here, we propose a framework for general design and computation of HNNs by introdu...

Human Intelligence Analysis through Perception of AI in Teaching and Learning.

Computational intelligence and neuroscience
Instructional practices have undergone a drastic change as a result of the development of new educational technology. Artificial intelligence (AI) as a teaching and learning technology will be examined in this theoretical review study. To enhance the...

Inspection of Underwater Hull Surface Condition Using the Soft Voting Ensemble of the Transfer-Learned Models.

Sensors (Basel, Switzerland)
In this study, we propose a method for inspecting the condition of hull surfaces using underwater images acquired from the camera of a remotely controlled underwater vehicle (ROUV). To this end, a soft voting ensemble classifier comprising six well-k...