A review of face recognition technology
L Li, X Mu, S Li, H Peng - IEEE access, 2020 - ieeexplore.ieee.org
Face recognition technology is a biometric technology, which is based on the identification
of facial features of a person. People collect the face images, and the recognition equipment …
of facial features of a person. People collect the face images, and the recognition equipment …
A review on face recognition systems: recent approaches and challenges
Face recognition is an efficient technique and one of the most preferred biometric modalities
for the identification and verification of individuals as compared to voice, fingerprint, iris …
for the identification and verification of individuals as compared to voice, fingerprint, iris …
[HTML][HTML] Organizational readiness to adopt artificial intelligence in the exhibition sector in Western Europe
This exploratory study explores perceptions of Artificial Intelligence (AI) and organizational
readiness to adopt AI, in the exhibition sector of the events industry. A theoretical framework …
readiness to adopt AI, in the exhibition sector of the events industry. A theoretical framework …
Deep learning techniques for skin lesion analysis and melanoma cancer detection: a survey of state-of-the-art
Abstract Analysis of skin lesion images via visual inspection and manual examination to
diagnose skin cancer has always been cumbersome. This manual examination of skin …
diagnose skin cancer has always been cumbersome. This manual examination of skin …
Fedopt: Towards communication efficiency and privacy preservation in federated learning
Artificial Intelligence (AI) has been applied to solve various challenges of real-world
problems in recent years. However, the emergence of new AI technologies has brought …
problems in recent years. However, the emergence of new AI technologies has brought …
Deep neural network based Rider-Cuckoo Search Algorithm for plant disease detection
Agriculture is the main source of wealth, and its contribution is essential to humans.
However, several obstacles faced by the farmers are due to different kinds of plant diseases …
However, several obstacles faced by the farmers are due to different kinds of plant diseases …
Comparison of deep-learning and conventional machine-learning methods for the automatic recognition of the hepatocellular carcinoma areas from ultrasound …
The emergence of deep-learning methods in different computer vision tasks has proved to
offer increased detection, recognition or segmentation accuracy when large annotated …
offer increased detection, recognition or segmentation accuracy when large annotated …
Attention-based convolutional neural network for deep face recognition
Discriminative feature embedding is of essential importance in the field of large scale face
recognition. In this paper, we propose an attention-based convolutional neural network …
recognition. In this paper, we propose an attention-based convolutional neural network …
Deep learning-based face detection and recognition on drones
Unmanned aerial vehicles as known as drones, are aircraft that can comfortably search
locations which are excessively dangerous or difficult for humans and take data from bird's …
locations which are excessively dangerous or difficult for humans and take data from bird's …
Facial recognition system using LBPH face recognizer for anti-theft and surveillance application based on drone technology
L Wang, AA Siddique - Measurement and Control, 2020 - journals.sagepub.com
Providing security to the citizens is one of the most important and complex task for the
governments around the world which they have to deal with. Street crimes and theft are the …
governments around the world which they have to deal with. Street crimes and theft are the …