Single-Document Abstractive Text Summarization: A Systematic Literature Review
Abstractive text summarization is a task in natural language processing that automatically
generates the summary from the source document in a human-written form with minimal loss …
generates the summary from the source document in a human-written form with minimal loss …
[HTML][HTML] Methodology for multi-temporal prediction of crop rotations using recurrent neural networks
In a context of growing demand for food and the scarcity of natural resources, the
development of more sustainable agriculture is imperative. This means it is necessary to …
development of more sustainable agriculture is imperative. This means it is necessary to …
Deep learning architecture for UAV traffic-density prediction
A Alharbi, I Petrunin, D Panagiotakopoulos - Drones, 2023 - mdpi.com
The research community has paid great attention to the prediction of air traffic flows.
Nonetheless, research examining the prediction of air traffic patterns for unmanned aircraft …
Nonetheless, research examining the prediction of air traffic patterns for unmanned aircraft …
Topic-guided abstractive multimodal summarization with multimodal output
Summarization is a technique that produces condensed text from large text documents by
using different deep-learning techniques. Over the past few years, abstractive …
using different deep-learning techniques. Over the past few years, abstractive …
Emp-gan: Encoder-decoder generative adversarial network for mobility prediction
Ultra-dense cell deployments in Beyond 5G and 6G result in extensive overlapping between
cells. This makes current reactive handover mechanism inadequate due to availability of …
cells. This makes current reactive handover mechanism inadequate due to availability of …
SGANFuzz: A Deep Learning-Based MQTT Fuzzing Method Using Generative Adversarial Networks
As the Internet of Things (IoT) industry grows, the risk of network protocol security threats has
also increased. One protocol that has come under scrutiny for its security vulnerabilities is …
also increased. One protocol that has come under scrutiny for its security vulnerabilities is …
Detecting multimodal cyber-bullying behaviour in social-media using deep learning techniques
S MohammedJany, CBR Killi, S Rafi… - The Journal of …, 2025 - Springer
Cyberbullying detection refers to the process of classifying and identifying of cyberbullying
behavior—which involves the use of technology to harass, or bullying individuals, typically …
behavior—which involves the use of technology to harass, or bullying individuals, typically …
SCT: Summary Caption Technique for Retrieving Relevant Images in Alignment with Multimodal Abstractive Summary
This work proposes an efficient Summary Caption Technique that considers the multimodal
summary and image captions as input to retrieve the correspondence images from the …
summary and image captions as input to retrieve the correspondence images from the …
Abstractive Text Summarization Using Multimodal Information
Much text generates over the internet through news articles, story writing and blogs.
Reading and understanding such an enormous amount of data to the user is problematic …
Reading and understanding such an enormous amount of data to the user is problematic …
[PDF][PDF] Single Frequency Network Terrestrial Broadcasting with 5G New Radio
M Mosavat - 2023 - core.ac.uk
Abstract A Single Frequency Network (SFN) refers to a network configuration in which
multiple transmitters simultaneously broadcast the same content using the same time and …
multiple transmitters simultaneously broadcast the same content using the same time and …