Artificial intelligence-based hybrid deep learning models for image classification: The first narrative review

B Jena, S Saxena, GK Nayak, L Saba, N Sharma… - Computers in Biology …, 2021 - Elsevier
Background Artificial intelligence (AI) has served humanity in many applications since its
inception. Currently, it dominates the imaging field—in particular, image classification. The …

AUTO-HAR: An adaptive human activity recognition framework using an automated CNN architecture design

WN Ismail, HA Alsalamah, MM Hassan, E Mohamed - Heliyon, 2023 - cell.com
Convolutional neural networks (CNNs) have demonstrated exceptional results in the
analysis of time-series data when used for Human Activity Recognition (HAR). The manual …

[HTML][HTML] Video surveillance using deep transfer learning and deep domain adaptation: Towards better generalization

Y Himeur, S Al-Maadeed, H Kheddar… - … Applications of Artificial …, 2023 - Elsevier
Recently, developing automated video surveillance systems (VSSs) has become crucial to
ensure the security and safety of the population, especially during events involving large …

Convolutional neural network and its pretrained models for image classification and object detection: A survey

B Jena, GK Nayak, S Saxena - Concurrency and Computation …, 2022 - Wiley Online Library
At present, in the age of computers and automation of services, deep learning (DL)
technology, mainly the subset of machine learning (ML) and artificial intelligence (AI), is …

An empirical study of artifacts and security risks in the pre-trained model supply chain

W Jiang, N Synovic, R Sethi, A Indarapu… - Proceedings of the …, 2022 - dl.acm.org
Deep neural networks achieve state-of-the-art performance on many tasks, but require
increasingly complex architectures and costly training procedures. Engineers can reduce …

Data-driven enabled approaches for criteria-based video summarization: a comprehensive survey, taxonomy, and future directions

A Sabha, A Selwal - Multimedia Tools and Applications, 2023 - Springer
The exponential growth in the usage of computing technologies in various applications has
led to the creation of huge amount of multimedia information such as, video, audio, and text …

Towards machine vision-based video analysis in smart cities: a survey, framework, applications and open issues

A Sabha, A Selwal - Multimedia Tools and Applications, 2024 - Springer
The multifarious video contents generated through various applications is growing
exponentially resulting in huge volumes. Analyzing these contents manually is a …

[PDF][PDF] A Framework for Anomaly Classification Using Deep Transfer Learning Approach.

R Jayaswal, M Dixit - Revue d'Intelligence Artificielle, 2021 - researchgate.net
Accepted: 9 June 2021 Over the last few years, surveillance CCTV cameras have rapidly
grown to monitor human activities. Suspicious activities like assault, gun violence …

Investigation on human activity recognition using deep learning

V Sarveshwaran, IT Joseph, M Maravarman… - Procedia Computer …, 2022 - Elsevier
The goal of human activity recognition (HAR) is to describe a people action constructed on a
set of sensor readings. Human activity recognition can be classified into two types economic …

Insight on Human Activity Recognition Using the Deep Learning Approach

SS Kulkarni, S Jadhav - 2023 International Conference on …, 2023 - ieeexplore.ieee.org
This work proposes a video understanding technique that primarily focuses on the individual
action recognition appearing in the video. The state-of-the-art showed promising work in …