There has long been a demand for cancer incidence data at a fine geographic resolution for use in etiologic hypothesis generation and testing, methodological evaluation and teaching. In this paper we describe a public domain dataset containing data for 23 anatomic sites of cancer diagnosed in New York State, USA between 2005 and 2009 at the census block group level. The dataset includes 524,503...

MOTIVATION New generation sequencing technologies producing increasingly complex datasets demand new efficient and specialized sequence analysis algorithms. Often, it is only the 'novel' sequences in a complex dataset that are of interest and the superfluous sequences need to be removed. RESULTS A novel algorithm, fast and accurate classification of sequences (FACSs), is introduced that can a...

BACKGROUND Esophageal squamous cell carcinoma (ESCC) has the highest mortality rates in China. The 5-year survival rate of ESCC remains dismal despite improvements in treatments such as surgical resection and adjuvant chemoradiation, and current clinical staging approaches are limited in their ability to effectively stratify patients for treatment options. The aim of the present study, therefor...

Background. Brain waves (electroencephalograms, EEG) can provide conscious, continuous human authentication for the proposed system. The advantage of brainwave biometry is that it is nearly impossible to forge or duplicate as the neuronal activity of people are distinctive even when they think about the same thing. Aim. We propose exploiting the brain as a biometric physical unclonable function...

By increasing use of computer network and internet using Intrusion Detection System has become more popular. The main drawback of IDS is to generate alert to system administrator based on malicious activities that violates security policies. Recently fuzzy logic plays a vital role in detecting attacks using various rule generation technique. This paper proposed a new concept of using various fu...

Due to continuous growth of the internet technology, there is need to establish security mechanism. So for achieving this objective various NIDS has been propsed. Datamining is one of the most effective techniques used for intrusion detection. This work evaluates the performance of unsupervised learning techniques over benchmark intrusion detection datasets. The model generation is computation ...

Packing products into a pallet or other medium is an unavoidable activity for producing companies. In many cases, packing based on operator experience and training using patterns that have worked before. Automated packing, the hand, requires systematic procedure devising solutions. scientific literature, this problem known as 3D bin (3DBP) authors proposed exact heuristic solutions variations o...

With the emergence of deep learning in last years, new opportunities arose Earth observation research. Nevertheless, they also brought with them challenges. The data-hungry training processes models demand large, resource expensive, annotated datasets and partly replaced knowledge-driven approaches so that model behaviour final prediction process became a black box. proposed SyntEO approach ena...

The purpose of this study is to generate weather forecasts from XML stored weather dataset Reiter and Dale proposes Natural Language Generation NLG System as three stage pipelined modularized system We follow them but not only regard our input data as XML database but implement three module as XML format transformation process As a result new insights at the research eld of report generation fr...

In this paper, a complete system for automatic lung nodule detection from Chest CT data is proposed. The proposed system includes the methods of lung segmentation and nodule detection from CT data. The algorithm for lung segmentation consists of surrounding air voxel removal, body fat/tissue identification, trachea detection, and pulmonary vessels segmentation. The nodule detection algorithm co...