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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), 2021-06)
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 ...
Design and Development of an Energy Efficient Multimedia Cloud Data Center with Minimal SLA Violation
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2021-09)
Multimedia computing (MC) is rising as a nascent computing paradigm to process multimedia applications and provide efficient multimedia cloud services with optimal Quality of Service (QoS) to the multimedia cloud users. ...
EEG Signal Analysis of Writing and Typing between Adults with Dyslexia and Normal Controls
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2018-06)
EEG is one of the most useful techniques used to represent behaviours of the brain and helps explore valuable insights through the measurement of brain electrical activity. Hence, plays a vital role in detecting neurological ...
Antimicrobial Resistance Prediction in Intensive Care Unit for Pseudomonas Aeruginosa using Temporal Data-Driven Models
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2021-03)
One threatening medical problem for human beings is the increasing antimicrobial resistance of some microorganisms. This problem is especially difficult in Intensive Care Units (ICUs) of hospitals due to the vulnerable ...
Deraining and Desnowing Algorithm on Adaptive Tolerance and Dual-tree Complex Wavelet Fusion
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2020-12)
Severe weather conditions such as rain and snow often reduce the visual perception quality of the video image system, the traditional methods of deraining and desnowing usually rarely consider adaptive parameters. In order ...
Blockchain for Healthcare: Securing Patient Data and Enabling Trusted Artificial Intelligence
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2020-09)
Advances in information technology are digitizing the healthcare domain with the aim of improved medical services, diagnostics, continuous monitoring using wearables, etc., at reduced costs. This digitization improves the ...
Achieving Fair Inference Using Error-Prone Outcomes
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2021-03)
Recently, an increasing amount of research has focused on methods to assess and account for fairness criteria when predicting ground truth targets in supervised learning. However, recent literature has shown that prediction ...
Attesting Digital Discrimination Using Norms
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2021-03)
More and more decisions are delegated to Machine Learning (ML) and automatic decision systems recently. Despite initial misconceptions considering these systems unbiased and fair, recent cases such as racist algorithms ...
Modeling Sub-Band Information Through Discrete Wavelet Transform to Improve Intelligibility Assessment of Dysarthric Speech
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2022-12)
The speech signal within a sub-band varies at a fine level depending on the type, and level of dysarthria. The Mel-frequency filterbank used in the computation process of cepstral coefficients smoothed out this fine level ...
Brain Tumor Segmentation and Identification Using Particle Imperialist Deep Convolutional Neural Network in MRI Images
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2022-12)
For the past few years, segmentation for medical applications using Magnetic Resonance (MR) images is concentrated. Segmentation of Brain tumors using MRIpaves an effective platform to plan the treatment and diagnosis of ...