Automated detection and forecasting of covid-19 using deep learning techniques: A review
Abstract In March 2020, the World Health Organization (WHO) declared COVID-19 a global
epidemic, caused by the SARS-CoV-2 virus. Initially, COVID-19 was diagnosed using real …
epidemic, caused by the SARS-CoV-2 virus. Initially, COVID-19 was diagnosed using real …
Machine learning, deep learning, and mathematical models to analyze forecasting and epidemiology of COVID-19: a systematic literature review
COVID-19 is a disease caused by SARS-CoV-2 and has been declared a worldwide
pandemic by the World Health Organization due to its rapid spread. Since the first case was …
pandemic by the World Health Organization due to its rapid spread. Since the first case was …
SCovNet: A skip connection-based feature union deep learning technique with statistical approach analysis for the detection of COVID-19
Abstract Background and Objective The global population has been heavily impacted by the
COVID-19 pandemic of coronavirus. Infections are spreading quickly around the world, and …
COVID-19 pandemic of coronavirus. Infections are spreading quickly around the world, and …
PneuNet: deep learning for COVID-19 pneumonia diagnosis on chest X-ray image analysis using Vision Transformer
A long-standing challenge in pneumonia diagnosis is recognizing the pathological lung
texture, especially the ground-glass appearance pathological texture. One main difficulty lies …
texture, especially the ground-glass appearance pathological texture. One main difficulty lies …
[HTML][HTML] Combating Covid-19 using machine learning and deep learning: Applications, challenges, and future perspectives
COVID-19, a worldwide pandemic that has affected many people and thousands of
individuals have died due to COVID-19, during the last two years. Due to the benefits of …
individuals have died due to COVID-19, during the last two years. Due to the benefits of …
Detection of post-COVID-19-related pulmonary diseases in X-ray images using Vision Transformer-based neural network
Objective: Computer methods related to the diagnosis of COVID-19 disease have
progressed significantly in recent years. Chest X-ray analysis supported by artificial …
progressed significantly in recent years. Chest X-ray analysis supported by artificial …
DT2F-TLNet: A novel text-independent writer identification and verification model using a combination of deep type-2 fuzzy architecture and Transfer Learning …
Identifying and verifying the identity of people based on scanned images of handwritten
documents is an applicable biometric modality with applications in forensic and historic …
documents is an applicable biometric modality with applications in forensic and historic …
Dictionary learning-based damage detection under varying environmental conditions using only vibration responses of numerical model and real intact State …
Monitoring structural damage is critical for preserving the service life of engineering systems.
In varying operational environments, the working loads are changing all the time and they …
In varying operational environments, the working loads are changing all the time and they …
Conv-CapsNet: capsule based network for COVID-19 detection through X-Ray scans
P Sharma, R Arya, R Verma, B Verma - Multimedia Tools and Applications, 2023 - Springer
Coronavirus, a virus that spread worldwide rapidly and was eventually declared a
pandemic. The rapid spread made it essential to detect Coronavirus infected people to …
pandemic. The rapid spread made it essential to detect Coronavirus infected people to …
[HTML][HTML] Designing a system for battery thermal management: Cooling LIBs by nano-encapsulated phase change material
This study has designed and employed computational fluid dynamics to cool lithium-ion
batteries (LIBs) to keep the temperature constant between 35 and 45° C. A duct was …
batteries (LIBs) to keep the temperature constant between 35 and 45° C. A duct was …