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 …
A systematic review of object detection from images using deep learning
J Kaur, W Singh - Multimedia Tools and Applications, 2024 - Springer
The development of object detection has led to huge improvements in human interaction
systems. Object detection is a challenging task because it involves many parameters …
systems. Object detection is a challenging task because it involves many parameters …
[HTML][HTML] Enhancing lung abnormalities detection and classification using a Deep Convolutional Neural Network and GRU with explainable AI: A promising approach …
Accurate and timely detection and classification of lung abnormalities are crucial for effective
diagnosis and treatment planning. In recent years, Deep Learning (DL) techniques have …
diagnosis and treatment planning. In recent years, Deep Learning (DL) techniques have …
CXray-EffDet: chest disease detection and classification from X-ray images using the EfficientDet model
The competence of machine learning approaches to carry out clinical expertise tasks has
recently gained a lot of attention, particularly in the field of medical-imaging examination …
recently gained a lot of attention, particularly in the field of medical-imaging examination …
CoviXNet: A novel and efficient deep learning model for detection of COVID-19 using chest X-Ray images
G Srivastava, A Chauhan, M Jangid… - … Signal Processing and …, 2022 - Elsevier
Abstract The Coronavirus (COVID-19) pandemic has created havoc on humanity by causing
millions of deaths and adverse physical and mental health effects. To prepare humankind for …
millions of deaths and adverse physical and mental health effects. To prepare humankind for …
A modified reverse-based analysis logic mining model with Weighted Random 2 Satisfiability logic in Discrete Hopfield Neural Network and multi-objective training of …
Over the years, the study on logic mining approach has increased exponentially. However,
most logic mining models disregarded any efforts in expanding the search space which led …
most logic mining models disregarded any efforts in expanding the search space which led …
[HTML][HTML] Development of a chickpea disease detection and classification model using deep learning
AJ Belay, AO Salau, M Ashagrie, MB Haile - Informatics in medicine …, 2022 - Elsevier
Ethiopia is the largest producer of chickpeas in Africa. Crop production and yield in Ethiopia
is greatly affected by plant diseases which cause loss of agricultural products every year …
is greatly affected by plant diseases which cause loss of agricultural products every year …
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 …
PETLFC: Parallel ensemble transfer learning based framework for COVID-19 differentiation and prediction using deep convolutional neural network models
P Misra, N Panigrahi, S Gopal Krishna Patro… - Multimedia Tools and …, 2024 - Springer
Despite a worldwide research involvement in the global COVID-19 pandemic, the research
community is still struggling to develop reliable and faster prediction mechanisms for this …
community is still struggling to develop reliable and faster prediction mechanisms for this …
Detection and classification of gastrointestinal disease using convolutional neural network and SVM
Gastrointestinal tract is a series of hollow organs connected in a long tube twisting from the
mouth to the anus. Recovery of gastrointestinal diseased patients depends on the early …
mouth to the anus. Recovery of gastrointestinal diseased patients depends on the early …