[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, develo** automated video surveillance systems (VSSs) has become crucial to
ensure the security and safety of the population, especially during events involving large …

[HTML][HTML] Online video anomaly detection

Y Zhang, J Song, Y Jiang, H Li - Sensors, 2023 - mdpi.com
With the popularity of video surveillance technology, people are paying more and more
attention to how to detect abnormal states or events in videos in time. Therefore, real-time …

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 …

Signature recognition models: performance comparison

A Gadre, P Pund, G Ajmire… - … on Advancements in …, 2021 - ieeexplore.ieee.org
In recent times Signature Verification has become an act of absolute necessity in the area of
biometric verification. Unlike other verification problems, every small detail between genuine …

Enhancing Text Quality with Bi-LSTM: An Approach for Automated Spelling and Grammar Correction

HA Lokhande, LJ Kinage, PM Kolunkar… - … on Advances in …, 2024 - ieeexplore.ieee.org
Spell checkers are crucial in various fields, ensuring error-free documents and clear
communication. Many applications use traditional approaches, like Google and Microsoft …

An Event Detection Mechanism with Deep Feature Extraction and Optimal Loss Function Based XGBoost Classifier

B Manjula, P Venkateshwarlu - Frontiers in Biomedical Technologies, 2024 - fbt.tums.ac.ir
Purpose: Interoceptions are a combination of sensation, integration, and interpretation of
internal bodily signals. Interoceptions are bidirectionally related to the human being mental …

Cross-Modal Text-to-Video Retrieval Using Deep Learning

W Farooqui, R Kanherkar, P Kumari… - … Conference on Multi …, 2024 - Springer
In the current digital environment, speech, visual signals, and sound play pivotal roles,
particularly in online videos with informative audio tracks. The vastness of multimedia …

[PDF][PDF] Towards more efficient CNN models with filter distribution templates

RI Cordova - 2022 - research-information.bris.ac.uk
Researchers in the field of Deep Learning have used convolutional neural network
architectures to solve computer vision tasks claiming improved performance with reduced …

Emotion Detection Using Deep Fusion Model

A Raddekar, A Athani, A Bhosle, V Divnale… - … on Intelligent Vision and …, 2022 - Springer
Extracting personal emotions from a given input format such as an image has been one of
the most powerful and challenging research activities in social networking. Deep learning is …

[PDF][PDF] EMOPLAY-Playlist Recommendation System Based on Facial Emotions

S Kale, P Ugale - psvpec.in
the very commonly found nature of every human being is to decide between things to
choose or not. This conflict often arises whenever user has either very few choices which …