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Now showing items 11-20 of 24
Using machine learning classifiers to identify the critical proteins in Down syndrome
(Association for Computing Machinery, 2018)
Pharmacotherapies of intellectual disability (ID) are largely unknown as the abnormalities at the complex molecular level which causes ID are difficult to understand. Down syndrome (DS) which is the prevalent cause of ID ...
Text area detection in digital documents images using textural features
(Springer, 2007)
In this paper we propose a new texture-based method for extraction of text areas in a complex document image. Gabor filter motivated by the multi-channel filtering approach of Human Visual System (HVS) has been employed ...
A software architecture for inventory management system
(2013)
Inventory Management is one of the basic problems in almost every company. Before computer age and integration paper tables and paperwork solutions were being used as inventory management tools. These we very far from being ...
Traffic shaping schemes for improving QoS in data networks
(2012)
As the typical characteristics of traffic in data networks are bursty which is difficult to handle traffic shaping schemes are used for regulating the average rate and hurstiness of a flow of data that enters into the ...
Multi-state video transmission with network coding [A? kodlama ile çoklu durum video iletimi]
(Institute of Electrical and Electronics Engineers Inc., 2018)
The goal of this work is to send video packets to all nodes in the network by enveloping Multi-State Video Coding (MSVC) at the same time network coding to maximize the throughput and video quality. This work has two main ...
Fully decentralized, collaborative multilateration primitives for uniquely localizing WSNs
(Springer, 2009)
We provide primitives for uniquely localizing WSN nodes. The goal is to maximize the number of uniquely localized nodes assuming a fully decentralized model of computation. Each node constructs a cluster of its own and ...
An open software architecture of neural networks: Neurosoft
(2004)
Software architecture of generic distributed neural networks and its relevant information model have been developed. Principles of on-line architecture building training controlling (managing) and topological optimization ...
A framework for combined recognition of actions and objects
(Springer-Verlag Berlin, 2012)
This paper proposes a novel approach to recognize actions and objects within the context of each other. Assuming that the different actions involve different objects in image sequences and there is one-to-one relation ...
The Performance of the RSS-Based Lateration Algorithm for Indoor Localization
(Institute of Electrical and Electronics Engineers Inc., 2019)
Localization methods have evolved over the years and led the invention of the Global Positioning System for outdoor localization. In time, the need for indoor localization has also arisen and research on indoor positioning ...
Ask me: A Question Answering System via Dynamic Memory Networks
(Institute of Electrical and Electronics Engineers Inc., 2019)
Most of the natural language processing problems can be reduced into a question answering problem. Dynamic Memory Networks (DMNs) are one of the solution approaches for question answering problems. Based on the analysis ...