Multimedia Tools and Applications

The incessant advancements in technology and the rapid growth of wireless sensors will lead to the Internet of Things (IoT), a global computing network  in which everything will be connected to the Internet. This results in large amounts of data ...

Image fusion is used to extract relevant features from different image modalities like infrared and visual images and to combine them into a single image effectively. In this article, we have introduced a hybrid-parallel intuitionistic-near set ...

Mobile edge computing (MEC) can provide rich computing services near mobile terminals, making it possible for computing intensive tasks to be performed at the edge, however, when renewable energy is the main power supply method for MEC servers, ...

In this paper, we present an efficient and optimal method for optimization of Hahn parameters a and b using the Artificial Bee Colony algorithm (ABC) in order to improve the quality of reconstruction and the compression of bio-signals and 2D / 3D ...

Due to the outbreak of the COVID-19 pandemic, wearing masks in public areas has become an effective way to slow the spread of disease. However, it also brings some challenges to applications in daily life as half of the face is occluded. Therefore,...

A novel lossy RGB (Red, Green, Blue) colour still image compression algorithm is proposed. The intended method introduces Legendre wavelet-based image transformation technique integrated with vector quantization and run length encoding. High ...

Brain tumors are a deadly condition that radiologists have a tough time diagnosing. It is critical to make treatment-related decisions based on accurate and timely categorization of malignant cancers. Several approaches for detecting brain tumors ...

In the process of polyphonic music creation, it is important to combine two or more independent melodies through technical treatment. However, due to the diversity of polyphonic music sequences and the limitations of neural networks, it is ...

Inthis paper, we present a new approach for emotion recognition from facial images. The proposed method is based on the association of a pretrained convolutional neural network (CNN) model (VGG16, ResNet50) with a multilayer perceptron (MLP) ...

The present paper focuses on the contrast enhancement of an image using linear regression-based recursive sub-histogram equalization. The histogram of an image is partitioned into two non-overlapping sub-histograms using the mean intensity of the ...

In today’s military operations, camouflage generally uses feature reduction techniques such as camouflage net, low emission coating and camouflage pattern to minimize its detectability and optimize the survivability of high-value assets. However, ...

This project is an endeavor to address preschool children’s independent learning. Currently, technology is invading our lives, and working parents are busily overpowering their social setup. As a result, the art of preschool education to young ...

Structural weight design is essential and difficult in engineering structure optimization. The design is affected by many factors and belongs to the NP problem. Swarm intelligent algorithm provides a valid way to solve the NP problem. Grasshopper ...

Congestive Heart Failures (CHFs) are prevalent, expensive, and deadly, causing damage or overload to the pumping power of the heart muscles. These leads to severe medical issues amongst humans and contribute to a greater death risk of numerous ...

Considering the requirements of comprehensive data security protection in the current distributed technology environment, this paper proposes a new fragile watermarking algorithm in the ciphertext domain, which takes advantage of multipermutation ...

Underwater images generally are characterized by color cast and low contrast due to selective absorption and light scattering in water medium. Such degraded images reveal some limitations when used for further analysis. To overcome underwater ...

Smart Healthcare (SHC) plays an increasingly greater role in improving the quality of health care, which has been widely concerned by researchers, hospitals and governments. In SHC, it is crucial that a patient’s health data is readily accessible ...

Effective stock market prediction can significantly assist individual and institutional investors to make better trading decisions and help government stabilize the market. Therefore, a variety of methods have been proposed to tackle the issue of ...

White blood cells (WBCs) are widely presented in human body which plays an important role in the human body immune system. Recently, the incidence of blood diseases related to WBC increases in the human body. The optimal WBC count given useful ...

Having a system that can take an image of a natural scene and accurately classify the plants in it is of undeniable importance. However, the complexities of dealing with natural scene images and the vast diversity of plants in the wild make ...

An accurate diagnosis of breast cancer requires analyzing the tumors and giving appropriate treatment. A cancer diagnosis should be carried out as early as possible to minimize mortality rates. The handcrafted features are utilized for traditional ...

Nowadays, with the advances and use of technological possibilities and devices, the number of digital images is increasing gradually. Computer-aided classification of image types is widely applied in many applications such as medicine, security, ...

For modeling human intelligence, understanding emotional intelligence as well as verbal and mathematical intelligence is an important and challenging issue. In affective and personality computing, it has been reported that not only visual and ...

Domain adaptation aims to leverage information from the source domain to improve the classification performance in the target domain. It mainly utilizes two schemes: sample reweighting and feature matching. While the first scheme allocates ...

Human pose estimation has gained significant attention from researchers of the present era. Personal exercise sessions can be monitored and supervised with the help of pose recognition. Existing work on exercise classification primarily relies on ...

Salient object detection is a challenging research area, which aims to highlight significant region of the visual scene more accurately and quickly. In this research direction, we propose a novel saliency detection model called Convex Hull Based ...

A Radio Base Station (RBS), part of the Radio Access Network, is a particular type of equipment that supports the connection between a wide range of cellular user devices and an operator network access infrastructure. Nowadays, most of the RBS ...

Animal models are helpful to evaluate the effects of some drugs in the treatment of brain diseases, such as the case of the Open Field Maze. Usually, these tests are recorded in video and analysed afterwards to carry out manual annotations about ...

The early faulty gear diagnosis is most necessary in the industry. In the current decade, with the tremendous growth of ANN (Artificial Neural Network), the researcher planned to use DL (Deep Learning) methods to sketch out faults in gear in an ...