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Inception inspired CNN-GRU hybrid network for human activity recognition
Abstract Human Activity Recognition (HAR) involves the recognition of human activities
using sensor data. Most of the techniques for HAR involve hand-crafted features and hence …
using sensor data. Most of the techniques for HAR involve hand-crafted features and hence …
[HTML][HTML] Computer-aided bleeding detection algorithms for capsule endoscopy: A systematic review
Capsule endoscopy (CE) is a widely used medical imaging tool for the diagnosis of
gastrointestinal tract abnormalities like bleeding. However, CE captures a huge number of …
gastrointestinal tract abnormalities like bleeding. However, CE captures a huge number of …
Twitter for disaster relief through sentiment analysis for COVID-19 and natural hazard crises
S Behl, A Rao, S Aggarwal, S Chadha… - International journal of …, 2021 - Elsevier
In emergencies and disasters, large numbers of people require basic needs and medical
attention. In such situations, online social media comes as a possible solution to aid the …
attention. In such situations, online social media comes as a possible solution to aid the …
Convolutional Neural Networks based classifications of soil images
MG Lanjewar, OL Gurav - Multimedia Tools and Applications, 2022 - Springer
Abstract The utilization of Artificial Intelligence (AI) and Machine Learning (ML) in the image
processing domain is useful to detect and recognize the types of soil. The main aim of the …
processing domain is useful to detect and recognize the types of soil. The main aim of the …
[HTML][HTML] Generalized Morse Wavelets parameter selection and transfer learning for pavement transverse cracking detection
Monitoring road surface anomalies is crucial to avoid potential harm to pedestrians,
vehicles, and vehicle users. These factors have motivated the development of systems that …
vehicles, and vehicle users. These factors have motivated the development of systems that …
Multi-classification deep learning models for detection of ulcerative colitis, polyps, and dyed-lifted polyps using wireless capsule endoscopy images
Wireless capsule endoscopy (WCE) enables imaging and diagnostics of the gastrointestinal
(GI) tract to be performed without any discomfort. Despite this, several characteristics …
(GI) tract to be performed without any discomfort. Despite this, several characteristics …
Computer-aided system for bleeding detection in wce images based on cnn-gru network
Wireless capsule endoscopy (WCE) is a non-invasive video technique used to investigate
gastrointestinal diseases such as hemorrhage, ulcer, and polyp. Automatic detection …
gastrointestinal diseases such as hemorrhage, ulcer, and polyp. Automatic detection …
Automated Classification of Gastrointestinal Conditions from Capsule Endoscopy Images Using EfficientNetB2
Early diagnosis of gastrointestinal diseases is crucial for effective treatment and improved
patient outcomes, as delays can significantly impact therapy efficacy. This study utilizes the …
patient outcomes, as delays can significantly impact therapy efficacy. This study utilizes the …
Artificial Intelligence in Gastrointestinal Bleeding Analysis for Video Capsule Endoscopy: Insights, Innovations, and Prospects (2008-2023)
The escalating global mortality and morbidity rates associated with gastrointestinal (GI)
bleeding, compounded by the complexities and limitations of traditional endoscopic …
bleeding, compounded by the complexities and limitations of traditional endoscopic …
Improving deep learning-based polyp detection using feature extraction and data augmentation
YC Chou, CC Chen - Multimedia Tools and Applications, 2023 - Springer
Abstract In recent years, Colorectal Cancer (CRC) has been common reasons of lethal
disease and cancer. However, colonoscopy can examine this disease, and the location of …
disease and cancer. However, colonoscopy can examine this disease, and the location of …