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Now showing items 21-30 of 41
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 ...
A novel hybrid approach for sentiment classification of TURKISH tweets for GSM operators
(North Atlantic University Union, 2018)
The increase in the amount of content shared on social media makes it difficult to extract meaningful information from scientific studies. Accordingly in recent years researchers have been working extensively on sentiment ...
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 ...
Joint phase noise estimation and source detection [Ortak faz gürültüsü kestirimi ve kaynak sezimlemesi]
(2010)
Rapidly time-varying and random disturbing effects on the phase of a signal waveform are known as phase noise. In this paper we consider the problem of joint detection of continuous-valued information source output and ...
Routing with (p-percent) partial flooding for opportunistic networks
(2010)
Opportunistic networks are one of the fast developing research areas in mobile communications. Under opportunistic networks mobile nodes try to communicate with other nodes without any prior information and knowledge about ...
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 ...