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Found 14 papers, 1 papers with code
Improving the Successful Robotic Grasp Detection Using Convolutional Neural Networks
Robotic grasp should be carried out in a real-time manner by proper accuracy.
AGILE: Approach-based Grasp Inference Learned from Element Decomposition
The proposed method acquires a 90% grasp success rate on seen objects and 78% on unseen objects in the Coppeliasim simulation environment.
Safe deep learning-based global path planning using a fast collision-free path generator
In this research, a global path planning method based on recurrent neural networks by means of a new Loss function is presented, which regardless of the complexity of the configuration space, generates the path in a relatively constant time.
IsoCost-Based Dynamic Programming for Solving Infinite Horizon Optimal Control Problems
An innovative numerical algorithm for solving infinite-horizon optimal control problems is introduced in this paper, using the IsoCost-HyperSurface (ICHS) concept.
Real-Time Facial Expression Recognition using Facial Landmarks and Neural Networks
Then, the human face is split into upper and lower faces, which enables the extraction of the desired features from each part.
Facial Expression Recognition
Facial Expression Recognition (FER)
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Learning Enhancement of CNNs via Separation Index Maximizing at the First Convolutional Layer
In this paper, a straightforward enhancement learning algorithm based on Separation Index (SI) concept is proposed for Convolutional Neural Networks (CNNs).
A Deep Learning Based Automated Hand Hygiene Training System
Hand hygiene is crucial for preventing viruses and infections.
Single-Item Fashion Recommender: Towards Cross-Domain Recommendations
This article first suggests a content-based fashion recommender system that uses a parallel neural network to take a single fashion item shop image as input and make in-shop recommendations by listing similar items available in the store.
Smart Fashion: A Review of AI Applications in the Fashion & Apparel Industry
The fashion industry is on the verge of an unprecedented change.
K-Splits: Improved K-Means Clustering Algorithm to Automatically Detect the Number of Clusters
This paper introduces k-splits, an improved hierarchical algorithm based on k-means to cluster data without prior knowledge of the number of clusters.
An Improved Hybrid Recommender System: Integrating Document Context-Based and Behavior-Based Methods
One of the main challenges in recommender systems is data sparsity which leads to high variance.
Ranking and Rejecting of Pre-Trained Deep Neural Networks in Transfer Learning based on Separation Index
Automated ranking of pre-trained Deep Neural Networks (DNNs) reduces the required time for selecting optimal pre-trained DNN and boost the classification performance in transfer learning.
Control of Computer Pointer Using Hand Gesture Recognition in Motion Pictures
This paper presents a user interface designed to enable computer cursor control through hand detection and gesture classification.
Evaluation of Dataflow through layers of Deep Neural Networks in Classification and Regression Problems
According to the explained smoothness concept, a shapeless distance-based smoothness index is proposed for regression problems.
