Object detection using YOLO: Challenges, architectural successors, datasets and applications
T Diwan, G Anirudh, JV Tembhurne - multimedia Tools and Applications, 2023 - Springer
Object detection is one of the predominant and challenging problems in computer vision.
Over the decade, with the expeditious evolution of deep learning, researchers have …
Over the decade, with the expeditious evolution of deep learning, researchers have …
Deep learning modelling techniques: current progress, applications, advantages, and challenges
Deep learning (DL) is revolutionizing evidence-based decision-making techniques that can
be applied across various sectors. Specifically, it possesses the ability to utilize two or more …
be applied across various sectors. Specifically, it possesses the ability to utilize two or more …
Cross-cultural polarity and emotion detection using sentiment analysis and deep learning on COVID-19 related tweets
How different cultures react and respond given a crisis is predominant in a society's norms
and political will to combat the situation. Often, the decisions made are necessitated by …
and political will to combat the situation. Often, the decisions made are necessitated by …
Bidirectional LSTM with attention mechanism and convolutional layer for text classification
G Liu, J Guo - Neurocomputing, 2019 - Elsevier
Neural network models have been widely used in the field of natural language processing
(NLP). Recurrent neural networks (RNNs), which have the ability to process sequences of …
(NLP). Recurrent neural networks (RNNs), which have the ability to process sequences of …
A hybrid CNN-LSTM model for improving accuracy of movie reviews sentiment analysis
Nowadays, social media has become a tremendous source of acquiring user's opinions.
With the advancement of technology and sophistication of the internet, a huge amount of …
With the advancement of technology and sophistication of the internet, a huge amount of …
Credit evaluation system based on blockchain for multiple stakeholders in the food supply chain
The food supply chain is a complex system that involves a multitude of “stakeholders” such
as farmers, production factories, distributors, retailers and consumers.“Information …
as farmers, production factories, distributors, retailers and consumers.“Information …
A hybrid intrusion detection system based on scalable K-means+ random forest and deep learning
C Liu, Z Gu, J Wang - Ieee Access, 2021 - ieeexplore.ieee.org
Digital assets have come under various network security threats in the digital age. As a kind
of security equipment to protect digital assets, intrusion detection system (IDS) is less …
of security equipment to protect digital assets, intrusion detection system (IDS) is less …
Sentiment analysis of persian movie reviews using deep learning
Sentiment analysis aims to automatically classify the subject's sentiment (eg, positive,
negative, or neutral) towards a particular aspect such as a topic, product, movie, news, etc …
negative, or neutral) towards a particular aspect such as a topic, product, movie, news, etc …
A comparative evaluation of pre-processing techniques and their interactions for twitter sentiment analysis
Pre-processing is the first step in text classification, and choosing right pre-processing
techniques can improve classification effectiveness. We experimentally compare 16 …
techniques can improve classification effectiveness. We experimentally compare 16 …
An approach for prediction of loan approval using machine learning algorithm
In our banking system, banks have many products to sell but main source of income of any
banks is on its credit line. So they can earn from interest of those loans which they credits. A …
banks is on its credit line. So they can earn from interest of those loans which they credits. A …