Application of AI/IoT for smart renewable energy management in smart cities
A city is considered to be smart when the application of Artificial Intelligence (AI) and the
Internet of Things (IoT) is integrated with it. This enables the collection of data from people …
Internet of Things (IoT) is integrated with it. This enables the collection of data from people …
Reliability analysis in cyber-physical system using deep learning for smart cities industrial IoT network node
The reliability, availability, security, and survivability analysis of any IoT (Internet-of-things)
device is important because it provides all necessary information about the IoT device …
device is important because it provides all necessary information about the IoT device …
Deep learning algorithms are used to automatically detection invasive ducal carcinoma in whole slide images
This paper proposes a profound learning approach in Whole-slide images of breast cancer
(WSI) for automatic detection and visual study of invasive ductal cancer (IDC) tissue regions …
(WSI) for automatic detection and visual study of invasive ductal cancer (IDC) tissue regions …
Study and prediction analysis of the employee turnover using machine learning approaches
Employee Turnover is one of the key market challenges in Human Resource (HR) Analytics.
Organizations usually invest a greater amount of money and time in the hiring of staff and …
Organizations usually invest a greater amount of money and time in the hiring of staff and …
Towards the sustainable development of smart cities through cloud computing
Smart cities are the most interesting, visible, and challenging usage of emerging
technologies such as the Internet of Things (IoT), Cloud Computing, and Artificial …
technologies such as the Internet of Things (IoT), Cloud Computing, and Artificial …
Respiratory disease classification by CNN using MFCC
Respiratory disease is a sort of sickness that produces a high death rate in rural or urban
settings. Respiratory illnesses must be detected in advance and the rapid growth of deep …
settings. Respiratory illnesses must be detected in advance and the rapid growth of deep …
Anomalies detection on attached IoT device at cattle body in smart cities areas using deep learning
The anomalies detection on attached IoT devices on cattle in Smart Cities Areas using deep
learning that help administrator to identify the unauthorized accessing of attached IoT device …
learning that help administrator to identify the unauthorized accessing of attached IoT device …
CNN based image forgery segmentation and classification for forensic verification
The growth of digital images has improved because of the advent of a new camera and
smart devices. The social networking websites like Facebook, Instagram, and Twitter have …
smart devices. The social networking websites like Facebook, Instagram, and Twitter have …
Building of efficient communication system in smart city using wireless sensor network through hybrid optimization technique
Abstract The 'Smart City'is a notion that has evolved in the latest period and encompasses a
broad of aspects of urban life. Smart Cities will have to address several issues in the future …
broad of aspects of urban life. Smart Cities will have to address several issues in the future …
A market framework for energy bidding decision-making strategy to provide a competitive mechanism in the context of deregulated electricity market
AMA Haidar, L Carmen… - 2021 IEEE 4th International …, 2021 - ieeexplore.ieee.org
In the modern power grid operation, the regulatory goal of the market is to provide
continuous electricity supply to the customers with reasonable energy prices. The current …
continuous electricity supply to the customers with reasonable energy prices. The current …