Artificial intelligence for sustainability: Challenges, opportunities, and a research agenda
Artificial intelligence (AI) will transform business practices and industries and has the
potential to address major societal problems, including sustainability. Degradation of the …
potential to address major societal problems, including sustainability. Degradation of the …
[HTML][HTML] Digital twin of a city: Review of technology serving city needs
Digital twins (DTs) have been found useful in manufacturing, construction, and maintenance.
Adapting DTs to serve cities, the question arises of what an urban digital twin should contain …
Adapting DTs to serve cities, the question arises of what an urban digital twin should contain …
An intelligent system for monitoring students' engagement in large classroom teaching through facial expression recognition
Students' disengagement problem has become critical in the modern scenario due to
various distractions and lack of student‐teacher interactions. This problem is exacerbated …
various distractions and lack of student‐teacher interactions. This problem is exacerbated …
Automatic face mask detection system in public transportation in smart cities using IoT and deep learning
The World Health Organization (WHO) has stated that the spread of the coronavirus (COVID-
19) is on a global scale and that wearing a face mask at work is the only effective way to …
19) is on a global scale and that wearing a face mask at work is the only effective way to …
Extraction and analysis of fictional character networks: A survey
V Labatut, X Bost - ACM Computing Surveys (CSUR), 2019 - dl.acm.org
A character network is a graph extracted from a narrative in which vertices represent
characters and edges correspond to interactions between them. A number of narrative …
characters and edges correspond to interactions between them. A number of narrative …
New trends in emotion recognition using image analysis by neural networks, a systematic review
Facial emotion recognition (FER) is a computer vision process aimed at detecting and
classifying human emotional expressions. FER systems are currently used in a vast range of …
classifying human emotional expressions. FER systems are currently used in a vast range of …
A comprehensive survey on techniques to handle face identity threats: challenges and opportunities
The human face is considered the prime entity in recognizing a person's identity in our
society. Henceforth, the importance of face recognition systems is growing higher for many …
society. Henceforth, the importance of face recognition systems is growing higher for many …
Human face detection techniques: A comprehensive review and future research directions
Face detection, which is an effortless task for humans, is complex to perform on machines.
The recent veer proliferation of computational resources is paving the way for frantic …
The recent veer proliferation of computational resources is paving the way for frantic …
Exploring deep learning-based architecture, strategies, applications and current trends in generic object detection: A comprehensive review
Object detection is a fundamental but challenging issue in the field of generic image
analysis; it plays an important role in a wide range of applications and has been receiving …
analysis; it plays an important role in a wide range of applications and has been receiving …
A review of multimodal emotion recognition from datasets, preprocessing, features, and fusion methods
B Pan, K Hirota, Z Jia, Y Dai - Neurocomputing, 2023 - Elsevier
Affective computing is one of the most important research fields in modern human–computer
interaction (HCI). The goal of affective computing is to study and develop the theories …
interaction (HCI). The goal of affective computing is to study and develop the theories …