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[HTML][HTML] Images and deep learning in human and urban infrastructure interactions pertinent to sustainable urban studies: Review and perspective
As global urbanization intensifies, conflicts between humans and urban infrastructure
increasingly affect socio-economic and environmental sustainability. Recently, using image …
increasingly affect socio-economic and environmental sustainability. Recently, using image …
Embryonic Machine-Deep Learning, Smart Healthcare and Privacy Deliberations in Hospital Industry: Lensing Confidentiality of Patient's Information and Personal …
B Singh, C Kaunert - … Industry Assessment: Analyzing Risks, Security, and …, 2024 - Springer
The incorporation of Machine and Deep Learning in Smart Healthcare technologies has
revolutionized healthcare delivery from diagnostics to treatment planning. The vast amounts …
revolutionized healthcare delivery from diagnostics to treatment planning. The vast amounts …
Uncap** the Potential of Quantum Computing Towards Manufacturing Optimization: Routing Supply Chain Projecting Sustainability
The disruptive impact of quantum computing presents an opportunity to rethink the
optimization of industrial processes, especially in the complex supply chain. The need to …
optimization of industrial processes, especially in the complex supply chain. The need to …
Decoding Emotions: Intelligent visual perception for movie image classification using sustainable AI in entertainment computing
P Huang - Entertainment Computing, 2024 - Elsevier
Affective computing researchers have been studying emotion recognition (ER) based on
real-world facial photos and videos for a while now, and it'sa very popular area. With the …
real-world facial photos and videos for a while now, and it'sa very popular area. With the …
Boosting Quantum Computing to Redefine Supply Chain in the Hospital Industry: Pitch the Vision for Medical and Healthcare Needs
B Singh, PK Dutta, C Kaunert - … Chain Management: A New Era of …, 2024 - igi-global.com
The development of very effective imaging systems with improved resolution for use by
medical experts in real-time is promised by quantum computers. This covers developments …
medical experts in real-time is promised by quantum computers. This covers developments …
[PDF][PDF] A Survey on Multi-modal Emotion Detection Techniques
C Chatterjee, N Shah, S Bhatt, S Chandi - 2024 - assets-eu.researchsquare.com
The utilization of emotion detection and recognition technologies has revolution-ized human-
computer interactions in various elds such as sentiment analysis, health monitoring …
computer interactions in various elds such as sentiment analysis, health monitoring …
Stress Detection While Doing Exam Using EEG with Machine Learning Techniques
This paper presents a comprehensive system design, architecture, and methodology for
detecting the psychological states of individuals based on their emitted brainwaves while …
detecting the psychological states of individuals based on their emitted brainwaves while …
Enhancing Facial Emotion Detection with CNN: Exploring the Impact of Hyperparameters
B Singh, J Singh, G Soni - 2023 IEEE Region 10 Symposium …, 2023 - ieeexplore.ieee.org
In recent years, computer vision and machine learning have seen a surge in research on
Facial Emotion Recognition (FER). The significance of accurately recognizing and …
Facial Emotion Recognition (FER). The significance of accurately recognizing and …
Survey on Cognitive Rehabilitation
S Das - Cognitive Cardiac Rehabilitation Using IoT and AI …, 2023 - igi-global.com
Cognitive rehabilitation refers to a range of interventions designed to improve or restore
cognitive functioning in individuals who have suffered from neurological injury or disease …
cognitive functioning in individuals who have suffered from neurological injury or disease …
Emotion detection using EEG-based brain-computer interaction
The study of emotional behavior has always been a challenging area of research. While
traditional methods have relied on self-reported measures, recent advancements in …
traditional methods have relied on self-reported measures, recent advancements in …