Transfer learning for image classification using VGG19: Caltech-101 image data set

M Bansal, M Kumar, M Sachdeva, A Mittal - Journal of ambient intelligence …, 2023 - Springer
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 …

A survey of automated International Classification of Diseases coding: development, challenges, and applications

C Yan, X Fu, X Liu, Y Zhang, Y Gao, J Wu, Q Li - Intelligent Medicine, 2022 - mednexus.org
The International Classification of Diseases (ICD) is an international standard and tool for
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

N Ahmed, AK Saha, MA Al Noman, JR Jim… - Natural Language …, 2024 - Elsevier
Abstract Human-Agent Interaction is at the forefront of rapid development, with integrating
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

S Urolagin, N Sharma, TK Datta - Energy, 2021 - Elsevier
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 …

An approach to integrating sentiment analysis into recommender systems

CN Dang, MN Moreno-García, FD Prieta - Sensors, 2021 - mdpi.com
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 …

Internet of things for sustaining a smart and secure healthcare system

PD Singh, G Dhiman, R Sharma - Sustainable computing: informatics and …, 2022 - Elsevier
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 …

Real-time detection of false readings in smart grid AMI using deep and ensemble learning

MJ Abdulaal, MI Ibrahem, MMEA Mahmoud… - IEEE …, 2022 - ieeexplore.ieee.org
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) …

Appositeness of optimized and reliable machine learning for healthcare: a survey

S Swain, B Bhushan, G Dhiman… - Archives of Computational …, 2022 - Springer
Abstract Machine Learning (ML) has been categorized as a branch of Artificial Intelligence
(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 …

Dataset meta-level and statistical features affect machine learning performance

S Uddin, H Lu - Scientific Reports, 2024 - nature.com
What dataset features affect machine learning (ML) performance has primarily been
unknown in the current literature. This study examines the impact of tabular datasets' …