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A survey on recent approaches in intrusion detection system in IoTs
(
Institute of Electrical and Electronics Engineers Inc.
, 2019 , Conference Paper)
Internet of Things (IoTs) are Internet-connected devices that integrate physical objects and internet in diverse areas of life like industries, home automation, hospitals and environment monitoring. Although IoTs ease daily ...
Finding Behavioural and Imaging Biomarkers of Major Depressive Disorder (MDD) using Artificial Intelligence: A Review
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Conference Paper)
Major Depressive Disorder (MDD) is a serious ailment in mental health and is a medical illness that has a debilitating impact on a person's ability to think effectively. According to the World Health Organization (WHO), ...
Lightweight IoT Malware Detection Solution Using CNN Classification
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Conference Paper)
Internet of Things (IoT) is becoming more frequently used in more applications as the number of connected devices is in a rapid increase. More connected devices result in bigger challenges in terms of scalability, ...
LIME: Long-Term Forecasting Model for Desalination Membrane Fouling to Estimate the Remaining Useful Life of Membrane
(
Springer Science and Business Media Deutschland GmbH
, 2023 , Conference Paper)
Membrane fouling is one of the major problems in desalination processes as it can cause a severe drop in the quality and quantity of the permeate water. This paper presents a data-driven approach for long-term forecasting ...
OSEGNET: OPERATIONAL SEGMENTATION NETWORK FOR COVID-19 DETECTION USING CHEST X-RAY IMAGES
(
IEEE
, 2022 , Conference Paper)
Coronavirus disease 2019 (COVID-19) has been diagnosed automatically using Machine Learning algorithms over chest X-ray (CXR) images. However, most of the earlier studies used Deep Learning models over scarce datasets ...
Smart stock exchange market: A secure predictive decentralized model
(
Institute of Electrical and Electronics Engineers Inc.
, 2019 , Conference Paper)
Stock exchanges around the world are exploring the best possible solution that can improve trading efficiency, lower the risks and tighten secu- rity levels. The working and functioning of a stock exchange involves very ...
Interest-determining web browser
(2010 , Conference Paper)
This paper investigates the application of data-mining techniques on a user's browsing history for the purpose of determining the user's interests. More specifically, a system is outlined that attempts to determine certain ...
Feasibility of Supervised Machine Learning for Cloud Security
(
Institute of Electrical and Electronics Engineers Inc.
, 2017 , Conference Paper)
Cloud computing is gaining significant attention, however, security is the biggest hurdle in its wide acceptance. Users of cloud services are under constant fear of data loss, security threats and availability issues. ...
Machine unlearning: Its need and implementation strategies
(
Association for Computing Machinery
, 2021 , Conference Paper)
Generally when users share information about themselves on some online platforms, they knowingly or unknowingly allow this data to be used by the companies behind these companies for various purposes including selling this ...
Audio based drone detection and identification using deep learning
(
Institute of Electrical and Electronics Engineers Inc.
, 2019 , Conference Paper)
In recent years, unmanned aerial vehicles (UAVs) have become increasingly accessible to the public due to their high availability with affordable prices while being equipped with better technology. However, this raises a ...