Writer identification using machine learning approaches: a comprehensive review
Handwriting is one of the most common types of questioned writing encountered and
frequently attracts the attention in litigation. Contrary to the physiological characteristics …
frequently attracts the attention in litigation. Contrary to the physiological characteristics …
Real time object detection and trackingsystem for video surveillance system
This paper introduces a system capable of real-time video surveillance in low-end edge
computing environment by combining object detection tracking algorithm. Recently, the …
computing environment by combining object detection tracking algorithm. Recently, the …
LCANet: End-to-end lipreading with cascaded attention-CTC
Machine lipreading is a special type of automatic speech recognition (ASR) which
transcribes human speech by visually interpreting the movement of related face regions …
transcribes human speech by visually interpreting the movement of related face regions …
Innovative deep learning models for EEG-based vigilance detection
S Khessiba, AG Blaiech, K Ben Khalifa… - Neural Computing and …, 2021 - Springer
Electroencephalography (EEG) is one of the most signals used for studying and
demonstrating the electrical activity of the brain due to the absence of side effects, its …
demonstrating the electrical activity of the brain due to the absence of side effects, its …
Multiple kernel low-rank representation-based robust multi-view subspace clustering
Owing to the presence of complex noise, it is extremely challenging to learn a low-
dimensional subspace structure directly from the original data. In addition, the nonlinear …
dimensional subspace structure directly from the original data. In addition, the nonlinear …
A NLP framework based on meaningful latent-topic detection and sentiment analysis via fuzzy lattice reasoning on youtube comments
Social media platforms such as Twitter, Facebook, and YouTube have unique architecture,
norms, and culture. These platforms are valuable sources of people's opinions which should …
norms, and culture. These platforms are valuable sources of people's opinions which should …
Hybridized approach of image segmentation in classification of fruit mango using BPNN and discriminant analyzer
In machine learning, image classification accuracy generally depends on image
segmentation and feature extraction methods with the extracted features and its qualities …
segmentation and feature extraction methods with the extracted features and its qualities …
Multiple forgery detection and localization technique for digital video using PCT and NBAP
With the use of easily available video editing gadgets and applications, the authenticity of
digital video has now become a significant concern since the last decade. Digital video …
digital video has now become a significant concern since the last decade. Digital video …
Determination of water level design for an estuarine city
Based on the extreme value theory, self–affinity, and scale invariance, we studied the
temporal and spatial relationship and the variation of water level and established a model of …
temporal and spatial relationship and the variation of water level and established a model of …
On the role of multimodal learning in the recognition of sign language
PM Ferreira, JS Cardoso, A Rebelo - Multimedia Tools and Applications, 2019 - Springer
Abstract Sign Language Recognition (SLR) has become one of the most important research
areas in the field of human computer interaction. SLR systems are meant to automatically …
areas in the field of human computer interaction. SLR systems are meant to automatically …