Listar por tema "convolutional neural network (CNN)"
Mostrando ítems 1-20 de 25
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A Convolution Neural Network Engine for Sclera Recognition
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2020)The world is shifting to the digital era in an enormous pace. This rise in the digital technology has created plenty of applications in the digital space, which demands a secured environment for transacting and authenticating ... -
A Novel Technique to Detect and Track Multiple Objects in Dynamic Video Surveillance Systems
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2022)Video surveillance is one of the important state of the art systems to be utilized in order to monitor different areas of modern society surveillance like the general public surveillance system, city traffic monitoring ... -
A Recent Trend in Individual Counting Approach Using Deep Network
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2019)In video surveillance scheme, counting individuals is regarded as a crucial task. Of all the individual counting techniques in existence, the regression technique can offer enhanced performance under overcrowded area. ... -
Acoustic Classification of Mosquitoes using Convolutional Neural Networks Combined with Activity Circadian Rhythm Information
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2021)Many researchers have used sound sensors to record audio data from insects, and used these data as inputs of machine learning algorithms to classify insect species. In image classification, the convolutional neural network ... -
Alzheimer's Patient Analysis Using Image and Gene Expression Data and Explainable-AI to Present Associated Genes
(Institute of Electrical and Electronics Engineers Inc., 2021)There are more than 10 million new cases of Alzheimer's patients worldwide each year, which means there is a new case every 3.2 s. Alzheimer's disease (AD) is a progressive neurodegenerative disease and various machine ... -
Automated Detection of COVID-19 using Chest X-Ray Images and CT Scans through Multilayer- Spatial Convolutional Neural Networks
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2021)The novel coronavirus-2019 (Covid-19), a contagious disease became a pandemic and has caused overwhelming effects on the human lives and world economy. The detection of the contagious disease is vital to avert further ... -
Automatic Classification of Oral Pathologies Using Orthopantomogram Radiography Images Based on Convolutional Neural Network
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2022)An attempt has been made to device a robust method to classify different oral pathologies using Orthopantomogram (OPG) images based on Convolutional Neural Network (CNN). This system will provide a novel approach for the ... -
COVID-19 Detection in Chest X-ray Images using a Deep Learning Approach
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2020)The Corona Virus Disease (COVID-19) is an infectious disease caused by a new virus that has not been detected in humans before. The virus causes a respiratory illness like the flu with various symptoms such as cough or ... -
COVID-19 Disease Prediction Using Weighted Ensemble Transfer Learning
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2023)Health experts use advanced technological equipment to find complex diseases and diagnose them. Medical imaging nowadays is popular for detecting abnormalities in human bodies. This research discusses using the Internet ... -
COVID-19 Mortality Risk Prediction Using X-Ray Images
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2021)The pandemic caused by coronavirus COVID-19 has already had a massive impact in our societies in terms of health, economy, and social distress. One of the most common symptoms caused by COVID-19 are lung problems like ... -
Deep Feature Representation and Similarity Matrix based Noise Label Refinement Method for Efficient Face Annotation
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2021)Face annotation is a naming procedure that assigns the correct name to a person emerging from an image. Faces that are manually annotated by people in online applications include incorrect labels, giving rise to the issue ... -
Deep Learning Assisted Medical Insurance Data Analytics With Multimedia System
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2023)Big Data presents considerable challenges to deep learning for transforming complex, high-dimensional, and heterogeneous biomedical data into health care data. Various kinds of data are analyzed in recent biomedical research ... -
Deep Learning-based Side Channel Attack on HMAC SM3
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2020)SM3 is a Chinese hash standard. HMAC SM3 uses a secret key to encrypt the input text and gives an output as the HMAC of the input text. If the key is recovered, adversaries can easily forge a valid HMAC. We can choose ... -
Deep Multi-Model Fusion for Human Activity Recognition Using Evolutionary Algorithms
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2021)Machine recognition of the human activities is an active research area in computer vision. In previous study, either one or two types of modalities have been used to handle this task. However, the grouping of maximum ... -
Deep Transfer Learning-Based Automated Identification of Bird Song
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2023)Bird species identification is becoming increasingly crucial for avian biodiversity conservation and assisting ornithologists in quantifying the presence of birds in a given area. Convolutional Neural Networks (CNNs) are ... -
Eye-Tracking Signals Based Affective Classification Employing Deep Gradient Convolutional Neural Networks
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2021)Utilizing biomedical signals as a basis to calculate the human affective states is an essential issue of affective computing (AC). With the in-depth research on affective signals, the combination of multi-model cognition ... -
Gesture Recognition of RGB and RGB-D Static Images Using Convolutional Neural Networks
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2019)In this era, the interaction between Human and Computers has always been a fascinating field. With the rapid development in the field of Computer Vision, gesture based recognition systems have always been an interesting ... -
Heterogeneous computing model for post-injury walking pattern restoration and postural stability rehabilitation exercise recognition
(Blackwell Publishing Ltd, 2022)The research paper presents the heterogeneous computing model for analysis & restoration of human walking deformity and posture instability. Gait-related walking activities are very important for the analysis of postural ... -
Image Classification Methods Applied in Immersive Environments for Fine Motor Skills Training in Early Education
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2019)Fine motor skills allow to carry out the execution of crucial tasks in people's daily lives, increasing their independence and self-esteem. Among the alternatives for working these skills, immersive environments are found ... -
MDFRCNN: Malware Detection using Faster Region Proposals Convolution Neural Network
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2022)Technological advancement of smart devices has opened up a new trend: Internet of Everything (IoE), where all devices are connected to the web. Large scale networking benefits the community by increasing connectivity and ...
