[HTML][HTML] Human activity recognition in artificial intelligence framework: a narrative review
Human activity recognition (HAR) has multifaceted applications due to its worldly usage of
acquisition devices such as smartphones, video cameras, and its ability to capture human …
acquisition devices such as smartphones, video cameras, and its ability to capture human …
Artificial intelligence-based hybrid deep learning models for image classification: The first narrative review
Background Artificial intelligence (AI) has served humanity in many applications since its
inception. Currently, it dominates the imaging field—in particular, image classification. The …
inception. Currently, it dominates the imaging field—in particular, image classification. The …
Artificial intelligence assisted improved human-computer interactions for computer systems
MS Alkatheiri - Computers and Electrical Engineering, 2022 - Elsevier
The interaction between people and computers takes place everywhere in everyday life
through information processing. As the degree of contact between humans and computers …
through information processing. As the degree of contact between humans and computers …
Industry 4.0-oriented deep learning models for human activity recognition
According to the Industry 4.0 vision, humans in a smart factory, should be equipped with
formidable and seamless communication capabilities and integrated into a cyber-physical …
formidable and seamless communication capabilities and integrated into a cyber-physical …
Convolutional neural network and its pretrained models for image classification and object detection: A survey
At present, in the age of computers and automation of services, deep learning (DL)
technology, mainly the subset of machine learning (ML) and artificial intelligence (AI), is …
technology, mainly the subset of machine learning (ML) and artificial intelligence (AI), is …
[HTML][HTML] Recognition of human activity using GRU deep learning algorithm
S Mohsen - Multimedia Tools and Applications, 2023 - Springer
Human activity recognition (HAR) is a challenging issue in several fields, such as medical
diagnosis. Recent advances in the accuracy of deep learning have contributed to solving the …
diagnosis. Recent advances in the accuracy of deep learning have contributed to solving the …
The prediction of chiral metamaterial resonance using convolutional neural networks and conventional machine learning algorithms
A Ural, ZH Kilimci - … of Computational and Experimental Science and …, 2021 - dergipark.org.tr
Electromagnetic resonance is the most important distinguishing property of metamaterials to
examine many unusual phenomena. The resonant response of metamaterials can depend …
examine many unusual phenomena. The resonant response of metamaterials can depend …
[HTML][HTML] On the use of deep learning for video classification
The video classification task has gained significant success in the recent years. Specifically,
the topic has gained more attention after the emergence of deep learning models as a …
the topic has gained more attention after the emergence of deep learning models as a …
Deepsegmenter: Temporal action localization for detecting anomalies in untrimmed naturalistic driving videos
Identifying unusual driving behaviors exhibited by drivers during driving is essential for
understanding driver behavior and the underlying causes of crashes. Previous studies have …
understanding driver behavior and the underlying causes of crashes. Previous studies have …
Deep learning for video classification: A review
A Rehman, SB Belhaouari - Authorea Preprints, 2023 - techrxiv.org
Video classification task has gained a significant success in the recent years. Specifically,
the topic has gained more attention after the emergence of deep learning models as a …
the topic has gained more attention after the emergence of deep learning models as a …