Classification of osteo-arthritis with the help of deep learning and transfer learning
Osteoarthritis is a degenerative disorder of the joints that negatively impacts the cartilage,
bones, and tissues around them. The afflicted joints may experience discomfort, stiffness …
bones, and tissues around them. The afflicted joints may experience discomfort, stiffness …
Detection and classification of breast cancer in mammographic images with fine-tuned convolutional neural networks
H Hoang Luong, H Thanh Nguyen… - Journal of Information …, 2024 - Taylor & Francis
Breast cancer is cancer that forms in the cells of the breasts and is a severe health issue that
affects many people around the world, especially since it is the most deadly cancer in …
affects many people around the world, especially since it is the most deadly cancer in …
Garbage Classification Utilizing Effective Convolutional Neural Network
In nations like India, waste is a significant issue that causes contamination of the air, water,
and soil. Garbage pollution may be decreased in a variety of ways, including efficient waste …
and soil. Garbage pollution may be decreased in a variety of ways, including efficient waste …
Bi-DeepViT: Binarized Transformer for Efficient Sensor-Based Human Activity Recognition
Transformer architectures are popularized in both vision and natural language processing
tasks, and they have achieved new performance benchmarks because of their long-term …
tasks, and they have achieved new performance benchmarks because of their long-term …
A Comparative Study of Deep Learning Models for Human Activity Recognition
Abstract Human Activity Recognition (HAR) is essential for real-time surveillance and
security systems, enabling the detection and classification of human actions. This study …
security systems, enabling the detection and classification of human actions. This study …
A Machine Learning Framework for Real-Time Gesture and Skeleton-Based Action Recognition in Unit: Exploring Human-Compute-Interaction in Game Design and …
A Moeini - 2024 - diva-portal.org
This master thesis presents a machine learning framework for real-time gesture and
skeleton-based action recognition, integrated with the Unity game engine. The system aims …
skeleton-based action recognition, integrated with the Unity game engine. The system aims …
MGF‐Based BER and Channel Capacity Analysis of Fisher Snedecor Composite Fading Model
H Shankar, Yogesh - Simulation Techniques of Digital Twin in …, 2024 - Wiley Online Library
This chapter introduces the moment generating function (MGF)‐based performance for
Fisher Snedecor (F) fading model over device‐to‐device (D2D) communication channels. At …
Fisher Snedecor (F) fading model over device‐to‐device (D2D) communication channels. At …
A Deep Learning Approach for Detection and Analysis of Anomalous Activities in Videos
S Suhas, S Kusuma, P Kiran, S Singh… - 2023 International …, 2023 - ieeexplore.ieee.org
The detection and analysis of anomalous activity in videos have become increasingly
important in many real-time applications like patient monitoring, passenger monitoring, and …
important in many real-time applications like patient monitoring, passenger monitoring, and …
Early Detection of Melanoma using EfficientNet B4 Transfer Learning Model
Melanoma is one of the most widespread types of skin cancer, and if not caught early, it can
be dangerous. The number of avoidable fatalities can be decreased by using a reliable …
be dangerous. The number of avoidable fatalities can be decreased by using a reliable …
P-YOWO: attention-based spatiotemporal action detection method
J Li, J **ong, W Yao - Fourth International Conference on …, 2024 - spiedigitallibrary.org
The task of spatiotemporal action detection plays a pivotal role in various domains such as
video surveillance, medical fields, and sports analytics, necessitating real-time accuracy …
video surveillance, medical fields, and sports analytics, necessitating real-time accuracy …