[HTML][HTML] Artificial intelligence adoption in the physical sciences, natural sciences, life sciences, social sciences and the arts and humanities: A bibliometric analysis of …
Analysing historical patterns of artificial intelligence (AI) adoption can inform decisions about
AI capability uplift, but research to date has provided a limited view of AI adoption across …
AI capability uplift, but research to date has provided a limited view of AI adoption across …
Classification of breast cancer histopathological images using DenseNet and transfer learning
Breast cancer is one of the most common invading cancers in women. Analyzing breast
cancer is nontrivial and may lead to disagreements among experts. Although deep learning …
cancer is nontrivial and may lead to disagreements among experts. Although deep learning …
[HTML][HTML] Emotion categorization from facial expressions: A review of datasets, methods, and research directions
Emotion classification plays a crucial role in the domain of human–computer interaction, as it
holds substantial significance in effective communication. However, the task of emotion …
holds substantial significance in effective communication. However, the task of emotion …
Deep crowd anomaly detection by fusing reconstruction and prediction networks
Abnormal event detection is one of the most challenging tasks in computer vision. Many
existing deep anomaly detection models are based on reconstruction errors, where the …
existing deep anomaly detection models are based on reconstruction errors, where the …
Impact of datasets on the effectiveness of MobileNet for beans leaf disease detection
Bean is a widely cultivated crop worldwide; however, it is susceptible to various diseases
that can adversely affect the quality of beans, including rust and angular leaf spot diseases …
that can adversely affect the quality of beans, including rust and angular leaf spot diseases …
Attention-based methods for emotion categorization from partially covered faces
Emotions are considered to convey much meaning in communication. Hence, artificial
methods for emotion categorization are being developed to meet the increasing demand to …
methods for emotion categorization are being developed to meet the increasing demand to …
A comparison of humans and machine learning classifiers categorizing emotion from faces with different coverings
Partial face coverings such as sunglasses and face masks unintentionally obscure facial
expressions, causing a loss of accuracy when humans and computer systems attempt to …
expressions, causing a loss of accuracy when humans and computer systems attempt to …
Leaf diseases detection using deep learning methods
EHE Fatimi - arxiv preprint arxiv:2501.00669, 2024 - arxiv.org
This study, our main topic is to devlop a new deep-learning approachs for plant leaf disease
identification and detection using leaf image datasets. We also discussed the challenges …
identification and detection using leaf image datasets. We also discussed the challenges …
Emotion Detection and its Effect on Decision-making
HA Shehu - 2023 - openaccess.wgtn.ac.nz
Emotion categorization has become an increasingly important area of research due to the
rising number of intelligent systems. Artificial classifiers have demonstrated limited …
rising number of intelligent systems. Artificial classifiers have demonstrated limited …
[PDF][PDF] Research Article Classification of Breast Cancer Histopathological Images Using DenseNet and Transfer Learning
Breast cancer is one of the most common invading cancers in women. Analyzing breast
cancer is nontrivial and may lead to disagreements among experts. Although deep learning …
cancer is nontrivial and may lead to disagreements among experts. Although deep learning …