Expansive chemical-based vector control has resulted in development of vector resistance to different insecticides harnessed for prevention of disease transmission in public health. The environmentally safe insect growth regulators and microbial larvicides provide potential tools for insecticide resistance management. The efficacy and persistence of Dimilin GR-2% and Mosquiron 10 EC insect grow...

Extracting domain-specific concepts from a large set of documents containing unstructured text to enable conceptbased search has become a critical step for fulfilling the core information management requirements in enterprises today. Given the demanding computational requirements of performing text analysis for concept extraction, and the small fraction of documents that typically have useful c...

-Slow Feature Analysis (SFA) has been established as a robust and versatile technique from the neurosciences to learn slowly varying functions from quickly changing signals. SFA framework is introduced to the problem of recognizing prisoner’s actions by incorporating the supervised information with the original unsupervised SFA learning. Firstly, large amount of cuboids are collected in the mot...

Access control is an important issue in information security. It is a necessary mechanism for protecting data in a computer system. In this paper, we apply support vector machines to construct an access control system. The security management framework is a pattern classification system using well trained support vector machines. The proposed system can not only be applied to broad access polic...

Accurate and real-time travel time information for buses can help passengers better plan their trips and minimize waiting times. A dynamic travel time prediction model for buses addressing the cases on road with multiple bus routes is proposed in this paper, based on support vector machines (SVMs) and Kalman filtering-based algorithm. In the proposed model, the well-trained SVM model predicts t...

Predicted electricity consumption is needed to perform energy management. Electricity prediction also very important in the development of intelligent power grids and advanced electrification network information. we implement a Support Vector Machine (SVM) predict electrical loads results compared measurable loads. Laboratory have their own characteristics when residential, commercial, or indus...