AIMC Topic: Algorithms

Clear Filters Showing 11421 to 11430 of 28713 articles

Robust image hashing for content identification through contrastive self-supervised learning.

Neural networks : the official journal of the International Neural Network Society
Content identification systems are an essential technology for many applications. These systems identify query multimedia items using a database of known identities. A hash-based system uses a perceptual hashing function that generates a hash value i...

Degrees of algorithmic equivalence between the brain and its DNN models.

Trends in cognitive sciences
Deep neural networks (DNNs) have become powerful and increasingly ubiquitous tools to model human cognition, and often produce similar behaviors. For example, with their hierarchical, brain-inspired organization of computations, DNNs apparently categ...

Classification of EEG Using Adaptive SVM Classifier with CSP and Online Recursive Independent Component Analysis.

Sensors (Basel, Switzerland)
An efficient feature extraction method for two classes of electroencephalography (EEG) is demonstrated using Common Spatial Patterns (CSP) with optimal spatial filters. However, the effects of artifacts and non-stationary uncertainty are more pronoun...

Multi-omics disease module detection with an explainable Greedy Decision Forest.

Scientific reports
Machine learning methods can detect complex relationships between variables, but usually do not exploit domain knowledge. This is a limitation because in many scientific disciplines, such as systems biology, domain knowledge is available in the form ...

Comparative performance assessment of deep learning based image steganography techniques.

Scientific reports
Increasing data infringement while transmission and storage have become an apprehension for the data owners. Even the digital images transmitted over the network or stored at servers are prone to unauthorized access. However, several image steganogra...

Prediction Model and Data Simulation of Sports Performance Based on the Artificial Intelligence Algorithm.

Computational intelligence and neuroscience
There is still a certain deviation between the current artificial intelligence technology and the traditional learning mode, which makes it unable to be effectively applied in teaching and learning. Therefore, an effective method needs to be proposed...

A Novel Affective Analysis System Modeling Method Integrating Affective Cognitive Model and Bi-LSTM Neural Network.

Computational intelligence and neuroscience
The severity of mental health issues among college students has increased over the past few years, having a significant negative impact on not only their academic performance but also on their families and even society as a whole. Therefore, one of t...

Multi-Objective Location and Mapping Based on Deep Learning and Visual Slam.

Sensors (Basel, Switzerland)
Simultaneous localization and mapping (SLAM) technology can be used to locate and build maps in unknown environments, but the constructed maps often suffer from poor readability and interactivity, and the primary and secondary information in the map ...

Transformer Based Binocular Disparity Prediction with Occlusion Predict and Novel Full Connection Layers.

Sensors (Basel, Switzerland)
The depth estimation algorithm based on the convolutional neural network has many limitations and defects by constructing matching cost volume to calculate the disparity: using a limited disparity range, the authentic disparity beyond the predetermin...

A Robust End-to-End Deep Learning-Based Approach for Effective and Reliable BTD Using MR Images.

Sensors (Basel, Switzerland)
Detection of a brain tumor in the early stages is critical for clinical practice and survival rate. Brain tumors arise in multiple shapes, sizes, and features with various treatment options. Tumor detection manually is challenging, time-consuming, an...