Deep learning empowered COVID-19 diagnosis using chest CT scan images for collaborative edge-cloud computing platform
The novel coronavirus outbreak has spread worldwide, causing respiratory infections in humans, leading to a huge global pandemic COVID-19. According to World Health Organization, the only way to curb this spread is by increasing the testing and ...
Dynamic data reshaping for 3D mesh animation compression
Effective compression of 3D mesh animation data has been increasingly used in a variety of multimedia systems including virtual reality, gaming, remote transmission, display and storage. In this work, we propose a spectral clustering-based dynamic ...
Enhancing spatial perception through sound: mapping human movements into MIDI
Gestural expressiveness plays a fundamental role in the interaction with people, environments, animals, things, and so on. Thus, several emerging application domains would exploit the interpretation of movements to support their critical designing ...
A cloud-based cognitive computing solution with interoperable applications to counteract illegal dumping in smart cities
The study presented in this paper is the outcome of the activity carried on within the program “Party Cloud Challenge per Genova”, promoted by IBM in collaboration with the city municipality of Genoa, Italy. This challenge aimed to show how using ...
Classification of users’ transportation modalities from mobiles in real operating conditions
The modern mobile phones and the complete digitalization of the public and private transport networks have allowed to access useful information to understand the user’s mean of transportation. This enables a plethora of old and new applications in ...
A machine learning based sentient multimedia framework to increase safety at work
- Gianluca Bonifazi,
- Enrico Corradini,
- Domenico Ursino,
- Luca Virgili,
- Emiliano Anceschi,
- Massimo Callisto De Donato
In the last few decades, we have witnessed an increasing focus on safety in the workplace. ICT has always played a leading role in this context. One ICT sector that is increasingly important in ensuring safety at work is the Internet of Things and,...
Cyber-attack detection via non-linear prediction of IP addresses: an innovative big data analytics approach
Computer network systems are often subject to several types of attacks. For example, an excessive traffic load sent to a web server for making it unusable is the main technique introduced by the Distributed Denial of Service (DDoS) attack. A well-...
Imaging based cervical cancer diagnostics using small object detection - generative adversarial networks
Cervical cancer is one of the curable cancers when it is diagnosed in the early stages. Pap smear test and visual inspection using acetic acid are the most common screening mechanism for the cervical lesion to categorize the cervical cells as ...
Graph-based visualization of sensitive medical data
With the increasing amounts of electronic health data being constantly generated in medical examinations and by sensors and mobile applications, data visualization methods can assist medical professionals and researchers in exploring and making ...
Better state pictures facilitating state machine characteristic conjecture
The mutual exclusion protocol invented by Mellor-Crummey and Scott (called MCS protocol) is used to exemplify that state picture designs based on which the state machine graphical animation (SMGA) tool produces graphical animations should be ...
A general parsing algorithm with context matching for context-sensitive graph grammars
Context-sensitive graph grammars have been intuitive and rigorous formalisms for specifying visual programming languages, as they are sufficient expressive and equipped with parsing mechanisms. Parsing has been a fundamental issue in the research ...
Visual exploration of visual parser execution
In this paper, we present ParVis, an interactive visual system for the animated visualization of logged parser trace executions. The system allows a parser implementer to create a visualizer for generated parsers by simply defining a JavaScript ...
Hybrid neural networks based facial expression recognition for smart city
With the development of science and technology and the progress of human beings, intelligence is gradually integrated into human daily life. The smart city uses innovative technology to manage and operate cities intelligently. Through the research ...
Improved edge-guided network for single image super-resolution
In recent years, deep learning has been successfully applied to image super-resolution. It is still a challenge to reconstruct high-frequency details from low-resolution images. However, many works lack attention to the high-frequency part. We ...
A comprehensive study of feature extraction techniques for plant leaf disease detection
Agriculture has been the most primary source of the livelihood of man for thousands of years. Even today, it provides subsistence to about 50% of the world population. Plant diseases are the serious cause of big losses to crop production every ...
Exploring online green behavior among college students in Taiwan: A moderated mediation model of perceived compatibility
Although there are many studies related to offline green behavior, limited efforts have been devoted to investigating key elements that would lead to better online green behavior. Accordingly, the primary purpose of this study is not only to ...
Complete 3D brain tumour detection using a two-phase method along with confidence function evaluation
Manual segmentation of brain tumour is a time-consuming process and the result of segmentation varies from person to person. Also, automated tumour region detection has become very crucial for introducing robotics based treatment in the field of ...
Blind image steganography algorithm development which resistant against JPEG compression attack
Digital image steganography is now one of the effective methods for exchanging confidential information over the public network. One of the major challenges is to protect secret data embedded in to image against JPEG compression. This paper ...
Content modification of soccer videos using a supervised deep learning framework
In this paper, we initially propose a novel framework for replacing advertisement contents in soccer videos in an automatic way by using deep learning strategies. For this purpose, we begin by applying UNET (an image segmentation convolutional ...
A color image encryption technique using block scrambling and chaos
Images are very important forms of data that are widely used nowadays. Every day, millions of grey and color images are transferred via the web. Protecting these images from unauthorized persons is an important issue. Image encryption is one of ...
Automatic deep learning system for COVID-19 infection quantification in chest CT
The paper proposes an automatic deep learning system for COVID-19 infection areas segmentation in chest CT scans. CT imaging proved its ability to detect the COVID-19 disease even for asymptotic patients, which make it a trustworthy alternative ...
Prediction of heart abnormalities using deep learning model and wearabledevices in smart health homes
The prediction of abnormality in the heart functionality at an early stage increases the chances of saving the life of people. Thus, this paper proposes a technique which predicts the abnormality in the functionality of the heart using heart rate ...
A novel color image encryption algorithm based on the fractional order laser chaotic system and the DNA mutation principle
A novel color image encryption algorithm based on the fractional order laser chaotic system and DNA mutation principle is proposed in this paper. Using phase diagram, Lyapunov exponential spectrum, bifurcation diagram and C0 complexity, the ...
Deep learning based Bengali question answering system using semantic textual similarity
Recently, Question answering system is a major research area in language processing. Bengali isone of the most popular spoken languages in India. Still, it has faced difficulties in natural language processing.Among the semantic based systems, ...
Trustworthy smart city systems using refinement and Event-B Theories
Smart city systems do not only handle information but also handle many critical aspects of citizens’ lives, including automobiles, healthcare, banking, etc. Smart city systems need to be both safe and secure systems. Therefore, this paper uses ...
Enhancement of image contrast using Selfish Herd Optimizer
Contrast enhancement is an important pre-processing task in any Image Analysis (IA) system. In this paper, we formulate the image contrast enhancement problem as an optimization problem where the goal is to optimize the pixel intensity values of ...
A novel color image retrieval method based on texture and deep features
Enlightened by the currently prevalent great complementarity of traditional features and deep features in image content expression, we propose a novel color image retrieval method based on texture and deep features which represent the image with ...
