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Now showing items 201-210 of 214
Multispectral imaging and machine learning for automated cancer diagnosis
(
Institute of Electrical and Electronics Engineers Inc.
, 2017 , Conference Paper)
Advancing technologies in the current era paved a lot to break the hurdles in medical diagnostic field. When cancer turned out to be the most common and dangerous disease of the age, novel diagnostic methodologies were ...
CAT: Credibility Analysis of Arabic Content on Twitter
(
Association for Computational Linguistics (ACL)
, 2017 , Conference Paper)
Data generated on Twitter has become a rich source for various data mining tasks. Those data analysis tasks that are dependent on the tweet semantics, such as sentiment analysis, emotion mining, and rumor detection among ...
Social-Sensor Cloud Service Selection
(
Institute of Electrical and Electronics Engineers Inc.
, 2017 , Conference Paper)
We propose a new framework for social-sensor cloud services selection based on spatio-textual correlation between user's query and service. The proposed research defines a formal social-sensor cloud service model that ...
Probabilistic qualitative preference matching in long-term IaaS composition
(
Springer Verlag
, 2017 , Conference Paper)
We propose a qualitative similarity measure approach to select an optimal set of probabilistic Infrastructure-as-a-Service (IaaS) requests according to the provider's probabilistic preferences over a long-term period. The ...
The using of bibliometric analysis to classify trends and future directions on 'smart farm'
(
Institute of Electrical and Electronics Engineers Inc.
, 2017 , Conference Paper)
Climate change has affected the cultivation in all countries with extreme drought, flooding, higher temperature, and changes in the season thus leaving behind the uncontrolled production. Consequently, the smart farm has ...
In-memory distributed matrix computation processing & optimization
(
IEEE Computer Society
, 2017 , Conference Paper)
The use of large-scale machine learning and data mining methods is becoming ubiquitous in many application domains ranging from business intelligence and bioinformatics to self-driving cars. These methods heavily rely on ...
Machine Learning for Anomaly Detection and Categorization in Multi-Cloud Environments
(
Institute of Electrical and Electronics Engineers Inc.
, 2017 , Conference Paper)
Cloud computing has been widely adopted by application service providers (ASPs) and enterprises to reduce both capital expenditures (CAPEX) and operational expenditures (OPEX). Applications and services previously running ...
Actuator fault detection and isolation of differential drive mobile robots using multiple model algorithm
(
Institute of Electrical and Electronics Engineers Inc.
, 2017 , Conference Paper)
An actuator fault detection and isolation (FDI) scheme is proposed in this paper for differential drive mobile robots based on the concept of multiple model approach. The nonlinear kinematic model of the mobile robot is ...
Concurrent association in heterogeneous networks with underlay D2D communication
(
Institute of Electrical and Electronics Engineers Inc.
, 2017 , Conference Paper)
Deployment of Device-to-Device (D2D) communication within dense heterogeneous networks is a key solution in order to face the intense demand for high data rates and quality of the service in future 5G networks. However, ...
Experimental analysis of double and triple glazed facades with different shading devices in Qatar
(
Institute of Electrical and Electronics Engineers Inc.
, 2017 , Conference Paper)
The design of fully-glazed facades on buildings has become very popular, especially in hot regions where the use of natural ventilation is not recommended. The integration of shading devices to facade surfaces has been ...