[HTML][HTML] Smart cities: Fusion-based intelligent traffic congestion control system for vehicular networks using machine learning techniques
Smart cities have been developed over the past decade, and reducing traffic congestion has
been the top concern in smart city development. Short delays in communication between …
been the top concern in smart city development. Short delays in communication between …
Fusion-based supply chain collaboration using machine learning techniques
Supply Chain Collaboration is the network of various entities that work cohesively to make
up the entire process. The supply chain organizations' success is dependent on integration …
up the entire process. The supply chain organizations' success is dependent on integration …
[PDF][PDF] Emotion Based Signal Enhancement Through Multisensory Integration Using Machine Learning.
Progress in understanding multisensory integration in human have suggested researchers
that the integration may result into the enhancement or depression of incoming signals. It is …
that the integration may result into the enhancement or depression of incoming signals. It is …
[PDF][PDF] Intelligent Model for Predicting the Quality of Services Violation.
Cloud computing is providing IT services to its customer based on Service level agreements
(SLAs). It is important for cloud service providers to provide reliable Quality of service (QoS) …
(SLAs). It is important for cloud service providers to provide reliable Quality of service (QoS) …
[PDF][PDF] Rice Leaves Disease Diagnose Empowered with Transfer Learning.
In the agricultural industry, rice infections have resulted in significant productivity and
economic losses. The infections must be recognized early on to regulate and mitigate the …
economic losses. The infections must be recognized early on to regulate and mitigate the …
[PDF][PDF] Formal Modeling of Self-Adaptive Resource Scheduling in Cloud.
A self-adaptive resource provisioning on demand is a critical factor in cloud computing. The
selection of accurate amount of resources at run time is not easy due to dynamic nature of …
selection of accurate amount of resources at run time is not easy due to dynamic nature of …
Optimization of Weighting Algorithm in Enterprise HRMS based on Cloud Computing and Hadoop Platform
G Zhao - Scalable Computing: Practice and Experience, 2024 - scpe.org
As enterprises increasingly rely on cloud-based Human Resource Management Systems
(HRMS) deployed on the Hadoop platform, the optimization of weighting algorithms …
(HRMS) deployed on the Hadoop platform, the optimization of weighting algorithms …
Optical Handwritten with Character Recognition
Optical Written with character recognition is a software where you can upload any of you
written text and it will be converted into a digital form. This will further provide the user an …
written text and it will be converted into a digital form. This will further provide the user an …
A Database File Storage Optimization Strategy Based on High-Relevance Mode Access Data Compression
R Gao, Y Lu, J Liu, J Yu, W Tian, H Du, C Kang… - … Conference on Artificial …, 2022 - Springer
With the improvement of social informatization and the popularization of Internet of Things
devices, the scale, complexity and diversity of data are currently growing rapidly, and …
devices, the scale, complexity and diversity of data are currently growing rapidly, and …