A Fine‐Tuned BERT‐Based Transfer Learning Approach for Text Classification
R Qasim, WH Bangyal, MA Alqarni… - Journal of healthcare …, 2022 - Wiley Online Library
Text Classification problem has been thoroughly studied in information retrieval problems
and data mining tasks. It is beneficial in multiple tasks including medical diagnose health …
and data mining tasks. It is beneficial in multiple tasks including medical diagnose health …
A systematic review on bat algorithm: Theoretical foundation, variants, and applications
T Agarwal, V Kumar - Archives of Computational Methods in Engineering, 2022 - Springer
Bat algorithm (BA) is a population-based metaheuristic algorithm inspired by echolocation
behavior of bat. After the development of BA in 2010, it becomes the attention of researchers …
behavior of bat. After the development of BA in 2010, it becomes the attention of researchers …
A hybrid recommendation system with many-objective evolutionary algorithm
Recommendation system (RS) is a technology that provides accurate recommendations to
users. However, it is not comprehensive to only consider the accuracy of the …
users. However, it is not comprehensive to only consider the accuracy of the …
Detection of Fake News Text Classification on COVID‐19 Using Deep Learning Approaches
WH Bangyal, R Qasim, NU Rehman… - … methods in medicine, 2021 - Wiley Online Library
A vast amount of data is generated every second for microblogs, content sharing via social
media sites, and social networking. Twitter is an essential popular microblog where people …
media sites, and social networking. Twitter is an essential popular microblog where people …
Constructing domain ontology for Alzheimer disease using deep learning based approach
Facts can be exchanged in multiple fields with the help of disease-specific ontologies. A
range of diverse values can be produced by mining ontological approaches for …
range of diverse values can be produced by mining ontological approaches for …
[HTML][HTML] Particle swarm optimization and RBF neural networks for public transport arrival time prediction using GTFS data
Abstract Accurate prediction of Public Transport (PT) mobility is important for intelligent
transportation. Nowadays, mobility data have become increasingly available with the …
transportation. Nowadays, mobility data have become increasingly available with the …
A new initialization approach in particle swarm optimization for global optimization problems
Particle swarm optimization (PSO) algorithm is a population‐based intelligent stochastic
search technique used to search for food with the intrinsic manner of bee swarming. PSO is …
search technique used to search for food with the intrinsic manner of bee swarming. PSO is …
Coverage path planning for spraying drones
EV Vazquez-Carmona, JI Vasquez-Gomez… - Computers & Industrial …, 2022 - Elsevier
The pandemic by COVID-19 is causing a devastating effect on the health of the global
population. Currently, there are several efforts to prevent the spread of the virus. Among …
population. Currently, there are several efforts to prevent the spread of the virus. Among …
Anomaly detection using a model-agnostic meta-learning-based variational auto-encoder for facility management
In a smart building, various types of sensor data are generated and employed to control
devices within the building. Detecting anomalies in these sensor data is critical for effective …
devices within the building. Detecting anomalies in these sensor data is critical for effective …
A dynamical neural network approach for solving stochastic two-player zero-sum games
This paper aims at solving a stochastic two-player zero-sum Nash game problem studied in
Singh and Lisser (2019). The main contribution of our paper is that we model this game …
Singh and Lisser (2019). The main contribution of our paper is that we model this game …