Deep neural networks to detect weeds from crops in agricultural environments in real-time: A review
Automation, including machine learning technologies, are becoming increasingly crucial in
agriculture to increase productivity. Machine vision is one of the most popular parts of …
agriculture to increase productivity. Machine vision is one of the most popular parts of …
Sentiment analysis on product reviews based on weighted word embeddings and deep neural networks
A Onan - Concurrency and computation: Practice and …, 2021 - Wiley Online Library
Sentiment analysis is one of the major tasks of natural language processing, in which
attitudes, thoughts, opinions, or judgments toward a particular subject has been extracted …
attitudes, thoughts, opinions, or judgments toward a particular subject has been extracted …
A comparative analysis of logistic regression, random forest and KNN models for the text classification
In the current generation, a huge amount of textual documents are generated and there is an
urgent need to organize them in a proper structure so that classification can be performed …
urgent need to organize them in a proper structure so that classification can be performed …
A novel Multi-LSTM based deep learning method for islanding detection in the microgrid
Microgrid (MG) is a key part of the future energy system that can operate in either grid-
connected or island mode by enabling the growing integration of renewable energy sources …
connected or island mode by enabling the growing integration of renewable energy sources …
Comparison of pre-trained language models in terms of carbon emissions, time and accuracy in multi-label text classification using AutoML
Since Turkish is an agglutinative language and contains reduplication, idiom, and metaphor
words, Turkish texts are sources of information with extremely rich meanings. For this …
words, Turkish texts are sources of information with extremely rich meanings. For this …
A sentiment-enhanced hybrid model for crude oil price forecasting
Y Fang, W Wang, P Wu, Y Zhao - Expert Systems with Applications, 2023 - Elsevier
The crude oil market plays a vital role in the world economy. However, due to the noisy
characteristics of the market and the complex and non-stationary nature of the asset series …
characteristics of the market and the complex and non-stationary nature of the asset series …
Automatic exam correction framework (aecf) for the mcqs, essays, and equations matching
Automatic grading requires the adaption of the latest technologies. It has become essential
especially when most of the courses became online courses (MOOCs). The objectives of the …
especially when most of the courses became online courses (MOOCs). The objectives of the …
The application of machine learning to consolidate critical success factors of lean six sigma
Lean six sigma (LSS) is a quality improvement phenomenon that has captured the attention
of the industry. Aiming at a capability level of 3.4 defects per million opportunities (Six …
of the industry. Aiming at a capability level of 3.4 defects per million opportunities (Six …
A precisely xtreme-multi channel hybrid approach for roman urdu sentiment analysis
F Mehmood, MU Ghani, MA Ibrahim, R Shahzadi… - IEEE …, 2020 - ieeexplore.ieee.org
In order to accelerate the performance of various Natural Language Processing tasks for
Roman Urdu, this article for the very first time provides 3 neural word embeddings prepared …
Roman Urdu, this article for the very first time provides 3 neural word embeddings prepared …
Improving sentiment reviews classification performance using support vector machine-fuzzy matching algorithm
High dimensionality in data sets is one of the challenges faced in classification, data mining,
and sentiment analysis. In the data set, many dimensionalities require effort to simplify. Many …
and sentiment analysis. In the data set, many dimensionalities require effort to simplify. Many …