Browsing Computer Science & Engineering by Subject "Machine Learning"
Now showing items 1-15 of 15
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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 ... -
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 ... -
DDPG Performance in THz Communications over Cascaded RISs: A Machine Learning Solution to the Over-Determined System
( Institute of Electrical and Electronics Engineers Inc. , 2023 , Article)THz technology is considered a key element in 6G wireless communication because it provides ultra-high bandwidths, considerable capacities, and significant gains. However, wireless systems operating at high frequencies are ... -
Deep learning in classifying sleep stages
( Institute of Electrical and Electronics Engineers Inc. , 2018 , Conference Paper)This paper presents a deep feed-forward neural network classifier to automatically classify the stages of sleep using raw data taken from a single electropalatogram channel (Fpz-Cz). No features are extracted at all from ... -
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. ... -
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), ... -
HYPER-VINES: A HYbrid Learning Fault and Performance Issues ERadicator for Virtual NEtwork Services over Multi-Cloud Systems
( Institute of Electrical and Electronics Engineers Inc. , 2019 , Conference Paper)Fault and performance management systems, in the traditional carrier networks, are based on rule-based diagnostics that correlate alarms and other markers to detect and localize faults and performance issues. As carriers ... -
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 ... -
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 ... -
Locality Sensitive Deep Learning for Detection and Classification of Nuclei in Routine Colon Cancer Histology Images
( Institute of Electrical and Electronics Engineers Inc. , 2016 , Article)Detection and classification of cell nuclei in histopathology images of cancerous tissue stained with the standard hematoxylin and eosin stain is a challenging task due to cellular heterogeneity. Deep learning approaches ... -
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 ... -
A multiple-kernel clustering based intrusion detection scheme for 5G and IoT networks
( Springer Science and Business Media Deutschland GmbH , 2021 , Article)The 5G network provides higher bandwidth and lower latency for edge IoT devices to access the core business network. But at the same time, it also expands the attack surface of the core network, which makes the enterprise ... -
Predictive Auto-scaling of Multi-tier Applications Using Performance Varying Cloud Resources
( Institute of Electrical and Electronics Engineers Inc. , 2019 , Article)The performance of the same type of cloud resources, such as virtual machines (VMs), varies over time mainly due to hardware heterogeneity, resource contention among co-located VMs, and virtualization overhead. The performance ... -
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 ...