Computer vision to advance the sensing and control of built environment towards occupant-centric sustainable development: A critical review
As urban development progresses, the built environment control has faced more critical
challenges in improving energy efficiency, air quality, and environmental comfort. Occupant …
challenges in improving energy efficiency, air quality, and environmental comfort. Occupant …
White blood cells classification using multi-fold pre-processing and optimized CNN model
White blood cells (WBCs) play a vital role in immune responses against infections and
foreign agents. Different WBC types exist, and anomalies within them can indicate diseases …
foreign agents. Different WBC types exist, and anomalies within them can indicate diseases …
Reconstruction with robustness: A semantic prior guided face super-resolution framework for multiple degradations
Despite the rapid advancements made with the support of deep learning, Face Super-
Resolution (FSR) methods still suffer from challenges under multiple degradations. These …
Resolution (FSR) methods still suffer from challenges under multiple degradations. These …
Multi-Step Preprocessing With UNet Segmentation and Transfer Learning Model for Pepper Bell Leaf Disease Detection
Agricultural production is a cornerstone of national economies, and the prevalence of plant
diseases poses a significant threat to crop yields. Timely disease detection is essential to …
diseases poses a significant threat to crop yields. Timely disease detection is essential to …
A Comprehensive Survey of Masked Faces: Recognition, Detection, and Unmasking
Masked face recognition (MFR) has emerged as a critical domain in biometric identification,
especially by the global COVID-19 pandemic, which introduced widespread face masks …
especially by the global COVID-19 pandemic, which introduced widespread face masks …
An improved personal protective equipment detection method based on YOLOv4
R Qiao, C Cai, H Meng, K Wu, F Wang… - Multimedia Tools and …, 2024 - Springer
Personal protective equipment (PPE) detection plays a crucial role in ensuring safety in
various settings such as factories, hospitals, and disease prevention measures. However …
various settings such as factories, hospitals, and disease prevention measures. However …
Comparative Study of Metaheuristic Optimization of Convolutional Neural Networks Applied to Face Mask Classification
The preventive measures taken to curb the spread of COVID-19 have emphasized the
importance of wearing face masks to prevent potential infection with serious diseases during …
importance of wearing face masks to prevent potential infection with serious diseases during …
A hybrid human recognition framework using machine learning and deep neural networks
AM Sheneamer, MH Halawi, MH Al-Qahtani - PLOS ONE, 2024 - journals.plos.org
Faces are a crucial environmental trigger. They communicate information about several key
features, including identity. However, the 2019 coronavirus pandemic (COVID-19) …
features, including identity. However, the 2019 coronavirus pandemic (COVID-19) …
Finite-time quasi-projective synchronization of fractional-order reaction-diffusion delayed neural networks
Z Wang, W Zhang, H Zhang, D Chen, J Cao… - Information …, 2024 - Elsevier
This paper investigates the finite-time quasi-projective synchronization (FTQPS) issue of
fractional-order reaction-diffusion neural networks (FORDNNs). To the best of our …
fractional-order reaction-diffusion neural networks (FORDNNs). To the best of our …
Face detection based on K-medoids clustering and associated with convolutional neural networks
P Ramadevi, R Das - Heliyon, 2024 - cell.com
Over the last several years, the COVID-19 epidemic has spread over the globe. People have
become used to the novel standard, which involves working from home, chatting online, and …
become used to the novel standard, which involves working from home, chatting online, and …