Explainable artificial intelligence methods in combating pandemics: A systematic review
Despite the myriad peer-reviewed papers demonstrating novel Artificial Intelligence (AI)-
based solutions to COVID-19 challenges during the pandemic, few have made a significant …
based solutions to COVID-19 challenges during the pandemic, few have made a significant …
A systematic review on acute leukemia detection using deep learning techniques
Acute leukemia is a cancer that starts in the bone marrow and is characterized by an
abnormal growth of white blood cells. It is a disease that affects people all over the world …
abnormal growth of white blood cells. It is a disease that affects people all over the world …
Ensemble deep learning and internet of things‐based automated COVID‐19 diagnosis framework
AS Kini, AN Gopal Reddy, M Kaur… - Contrast Media & …, 2022 - Wiley Online Library
Coronavirus disease (COVID‐19) is a viral infection caused by SARS‐CoV‐2. The
modalities such as computed tomography (CT) have been successfully utilized for the early …
modalities such as computed tomography (CT) have been successfully utilized for the early …
Evaluating the impact of COVID-19 on society, environment, economy, and education
The COVID-19 pandemic has caused drastic changes across the globe, affecting all areas of
life. This paper provides a comprehensive study on the influence of COVID-19 in various …
life. This paper provides a comprehensive study on the influence of COVID-19 in various …
Mask Detection and Social Distance Identification Using Internet of Things and Faster R‐CNN Algorithm
The drones can be used to detect a group of people who are unmasked and do not maintain
social distance. In this paper, a deep learning‐enabled drone is designed for mask detection …
social distance. In this paper, a deep learning‐enabled drone is designed for mask detection …
Text‐Based Emotion Recognition Using Deep Learning Approach
SK Bharti, S Varadhaganapathy… - Computational …, 2022 - Wiley Online Library
Sentiment analysis is a method to identify people's attitudes, sentiments, and emotions
towards a given goal, such as people, activities, organizations, services, subjects, and …
towards a given goal, such as people, activities, organizations, services, subjects, and …
Efficient stochastic model for operational availability optimization of cooling tower using metaheuristic algorithms
Metaheuristic algorithms are extensively utilized to find solutions and optimize complex
industrial systems' performance. In this paper, metaheuristic algorithms are utilized to predict …
industrial systems' performance. In this paper, metaheuristic algorithms are utilized to predict …
Computer‐aided multiclass classification of corn from corn images integrating deep feature extraction
Corn has great importance in terms of production in the field of agriculture and animal feed.
Obtaining pure corn seeds in corn production is quite significant for seed quality. For this …
Obtaining pure corn seeds in corn production is quite significant for seed quality. For this …
Delay‐Driven Opportunistic Routing with Multichannel Cooperative Neighbor Discovery for Industry 4.0 Wireless Networks Based on Power and Load Awareness
During data transmission, a decentralised Mobile Ad Hoc Network (MANET) might result in
high Energy Consumption (EC) and a short Network Lifetime (NLife). To address these …
high Energy Consumption (EC) and a short Network Lifetime (NLife). To address these …
Detection of peripheral malarial parasites in blood smears using deep learning models
Due to the plasmodium parasite, malaria is transmitted mostly through red blood cells.
Manually counting blood cells is extremely time consuming and tedious. In a …
Manually counting blood cells is extremely time consuming and tedious. In a …