Text mining in cybersecurity: A systematic literature review
The growth of data volume has changed cybersecurity activities, demanding a higher level
of automation. In this new cybersecurity landscape, text mining emerged as an alternative to …
of automation. In this new cybersecurity landscape, text mining emerged as an alternative to …
Clinical information retrieval: A literature review
Clinical information retrieval (IR) plays a vital role in modern healthcare by facilitating
efficient access and analysis of medical literature for clinicians and researchers. This …
efficient access and analysis of medical literature for clinicians and researchers. This …
Galaxy morphology classification with deep convolutional neural networks
XP Zhu, JM Dai, CJ Bian, Y Chen, S Chen… - Astrophysics and Space …, 2019 - Springer
We propose a variant of residual networks (ResNets) for galaxy morphology classification.
The variant, together with other popular convolutional neural networks (CNNs), is applied to …
The variant, together with other popular convolutional neural networks (CNNs), is applied to …
A multimodal data processing system for LiDAR-based human activity recognition
Increasingly, the task of detecting and recognizing the actions of a human has been
delegated to some form of neural network processing camera or wearable sensor data. Due …
delegated to some form of neural network processing camera or wearable sensor data. Due …
Hybridized term-weighting method for dark web classification
The role of intelligence and security informatics based on statistical computations is
becoming more significant in detecting terrorism activities proactively as the extremist …
becoming more significant in detecting terrorism activities proactively as the extremist …
Inor-net: Incremental 3-d object recognition network for point cloud representation
3-D object recognition has successfully become an appealing research topic in the real
world. However, most existing recognition models unreasonably assume that the categories …
world. However, most existing recognition models unreasonably assume that the categories …
Assessment of convolution neural networks for wetland map** with landsat in the central Canadian boreal forest region
D Pouliot, R Latifovic, J Pasher, J Duffe - Remote Sensing, 2019 - mdpi.com
Methods for effective wetland monitoring are needed to understand how ecosystem services
may be altered from past and present anthropogenic activities and recent climate change …
may be altered from past and present anthropogenic activities and recent climate change …
Toward large-scale map** of tree crops with high-resolution satellite imagery and deep learning algorithms: A case study of olive orchards in Morocco
Timely and accurate monitoring of tree crop extent and productivities are necessary for
informing policy-making and investments. However, except for a very few tree species (eg …
informing policy-making and investments. However, except for a very few tree species (eg …
[PDF][PDF] Sentiment analysis of cyberbullying on twitter using SentiStrength
Cyberbullying is a form of bullying that takes place across virtually every social media
platform. Twitter is a form of social media that allows users to exchange information. Bullying …
platform. Twitter is a form of social media that allows users to exchange information. Bullying …
A grammar for interpreting geo-analytical questions as concept transformations
Abstract Geographic Question Answering (GeoQA) systems can automatically answer
questions phrased in natural language. Potentially this may enable data analysts to make …
questions phrased in natural language. Potentially this may enable data analysts to make …