Transfer learning for image classification using VGG19: Caltech-101 image data set
Image classification is getting more attention in the area of computer vision. During the past
few years, a lot of research has been done on image classification using classical machine …
few years, a lot of research has been done on image classification using classical machine …
A survey of automated International Classification of Diseases coding: development, challenges, and applications
The International Classification of Diseases (ICD) is an international standard and tool for
epidemiological investigation, health management, and clinical diagnosis with a …
epidemiological investigation, health management, and clinical diagnosis with a …
[HTML][HTML] Deep learning-based natural language processing in human-agent interaction: Applications, advancements and challenges
Abstract Human-Agent Interaction is at the forefront of rapid development, with integrating
deep learning techniques into natural language processing representing significant …
deep learning techniques into natural language processing representing significant …
A combined architecture of multivariate LSTM with Mahalanobis and Z-Score transformations for oil price forecasting
Oil price plays a vital role in a country's economy. Oil price forecasting helps in making better
economic planning and decisions. The fluctuation in the oil price occurs due to several …
economic planning and decisions. The fluctuation in the oil price occurs due to several …
An approach to integrating sentiment analysis into recommender systems
Recommender systems have been applied in a wide range of domains such as e-
commerce, media, banking, and utilities. This kind of system provides personalized …
commerce, media, banking, and utilities. This kind of system provides personalized …
Internet of things for sustaining a smart and secure healthcare system
The thyroid is a key endocrine gland in the human body that regulates several bodily
processes, including protein synthesis, energy consumption, and the body's reaction to other …
processes, including protein synthesis, energy consumption, and the body's reaction to other …
Real-time detection of false readings in smart grid AMI using deep and ensemble learning
In the advanced metering infrastructure, smart meters are deployed at the consumers' side to
regularly transmit fine-grained electricity consumption readings to the system operator (SO) …
regularly transmit fine-grained electricity consumption readings to the system operator (SO) …
Appositeness of optimized and reliable machine learning for healthcare: a survey
Abstract Machine Learning (ML) has been categorized as a branch of Artificial Intelligence
(AI) under the Computer Science domain wherein programmable machines imitate human …
(AI) under the Computer Science domain wherein programmable machines imitate human …
Detecting depression using Hybrid models created using Google's BERT and Facebook's Fast Text Algorithms
T Saravanan, T Jhaideep… - 2022 2nd International …, 2022 - ieeexplore.ieee.org
Depression is the leading cause of worldwide disability and is also a leading cause of
suicide. Depression has a significant impact on language use. We target the early diagnosis …
suicide. Depression has a significant impact on language use. We target the early diagnosis …
Dataset meta-level and statistical features affect machine learning performance
What dataset features affect machine learning (ML) performance has primarily been
unknown in the current literature. This study examines the impact of tabular datasets' …
unknown in the current literature. This study examines the impact of tabular datasets' …