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Classification and Analysis of a Large MEG Dataset using Convolutional Neural Networks
(2019-08-16)
Convolutional neural networks were used to classify and analyse a large magnetoencephalography (MEG) dataset. Networks were trained to classify between active and baseline intervals recorded during cued button pressing. ...
A DEEP IMAGE CLASSIFICATION APPROACH FOR FISHING ACTIVITY DETECTION FROM AIS DATA
(2019-12-12)
Maritime transport and vessel activities on the ocean have a significant impact on marine
life, which consequently affects human life. Therefore analyzing and monitoring the fishing
activities using the vast amount of ...
A Machine Learning Framework for Host Based Intrusion Detection using System Call Abstraction
(2020-04-13)
The number of cyber threats is increasing faster than the number of defensive strategies deployed to tackle those threats. An automated Intrusion Detection System (IDS) has the capability to detect, classify, and predict ...
ELECTRONIC GAMING MACHINE PLAYSTYLE DETECTION AND RAPID PLAYSTYLE CLASSIFICATION USING MULTIVARIATE CONVOLUTIONAL LSTM NEURAL NETWORK ARCHITECTURE
(2021-09-01)
Electronic Gaming Machines (EGM) are
common, anonymous, stateless gambling machines operated by a region’s lottery and
situated in licensed venues. Previous work have shown that problem
gambling detection is possible ...
Deep Neural Network (DNN) Design: The Utilization of Approximate Computing and Practical Considerations for Accuracy Evaluation
(2021-08-04)
Approximate computing is emerging as a viable way to achieve significant performance enhancement in terms of power, speed, and area for system on chip (SoC) designs. Utilizing approximate computing in the design of deep ...
Identification of high-frequency periodic acoustic tags with deep learning
(2021-07-30)
Marine life researchers use the concept of fish tracking to determine the activity andbehaviour of fish. It allows the researchers to recognize the valuable biological andphysical support systems required by fish species ...
Modelling Human Target Reaching using A novel predictive deep reinforcement learning technique
(2018-04-03)
It is hypothesized that the brain builds an internal representation of the world and its body. Moreover, it is well established that human decision making and instrumental control uses multiple systems, some which are ...
Music Composer Recognition from MIDI Representation using Deep Learning and N-gram Based Methods
(2022-10-07)
In order to answer conceptually basic queries like “Who created this piece?” the
discipline of computational musicology frequently requires the analysis of detailed
characteristics. Melodic lines, rhythmic patterns, ...
Common N-Gram Method: A Promising Approach to Detecting Mental Health Disorders on Social Media
(2023-04-13)
This paper addresses the mental health challenges posed by the COVID-19 pandemic and the lack of reliable and accessible diagnostic tools for mental health conditions. The dataset used in this research consists of over 2 ...
A TRANSFORMER-BASED GRAPH NEURAL NETWORK AGGREGATION FRAMEWORK FOR 5G RADIO LINK FAILURE PREDICTION
(2023-08-31)
The prediction of Radio Link Failures (RLF) in Radio Access Networks (RANs) is crucial to ensure smooth communication and meet the demanding requirements of high data rates, low latency, and improved performance in 5G ...