<span lang="EN-US">Dissolved gas analysis (DGA) is widely accepted as an effective method to detect incipient faults within power transformers. Gases such hydrogen, methane, acetylene, ethylene and ethane are normally utilized identify the transformer fault conditions. Several techniques have been developed interpret DGA results key method, Doernenburg, Rogers, IEC ratio-based methods, Du...

Air transportation is a very preferred type of for long-distance trips. This has made great progress, especially in the last 20 years with development technology. Thanks to its fast and safe, passenger capacity gradually increasing. Despite this situation, mortality rate quite high case an aircraft accident. For reason, hundreds people can die single In study, accidents that occurred world were...

Data mining techniques are widely used in classification and prediction in the field of bioinformatics to analyze biomedical data. The purpose of the study is to investigate and compare (7) different classification algorithms namely, Naive Bayes, Naive Bayes updatable, FT Tree, KStar, J48, LMT, and Neural network for analyzing Hepatitis prognostic data. The results of the classification are acc...

Speaker recognition and speech recognition are both related. As against determining what was said, speaker recognition enables the automatic recognition of who is speaking based on the speaker’s voice’s unique characteristics. This paper presents a simple approach to text dependent speaker identification and is based on the Symlet wavelets for feature extraction. The extracted features are then...

The automated classification of objects from large catalogues or survey projects is an important task in many astronomical surveys. Faced with various classification algorithms, astronomers should select the method according to their requirements. Here we describe several kinds of decision trees for finding active objects by multiwavelength data, such as REPTree, Random Tree, Decision Stump, Ra...

The postures of wheelchair users can reveal their sitting habit, mood, and even predict health risks such as pressure ulcers or lower back pain. Mining the hidden information of the postures can reveal their wellness and general health conditions. In this paper, a cushion-based posture recognition system is used to process pressure sensor signals for the detection of user's posture in the wheel...

Introduction The role of prophylactic inguinal irradiation (PII) in the treatment of anal cancer patients is controversial. We developped an innovative algorithm based on the Machine Learning (ML) allowing the tailoring of the prescription of PII. Results Once verified on the independent testing set, J48 showed the better performances, with specificity, sensitivity, and accuracy rates in pred...

The nature of clinical data makes it difficult to quickly select, tune and apply machine learning algorithms to clinical prognosis. As a result, a lot of time is spent searching for the most appropriate machine learning algorithms applicable in clinical prognosis that contains either binary-valued or multi-valued attributes. The study set out to identify and evaluate the performance of machine ...

OBJECTIVE To semi-automatically induce semantic categories of eligibility criteria from text and to automatically classify eligibility criteria based on their semantic similarity. DESIGN The UMLS semantic types and a set of previously developed semantic preference rules were utilized to create an unambiguous semantic feature representation to induce eligibility criteria categories through hie...

Growth of an educational institute can be measured in terms of successful students of the institute. The analysis related to the prediction of students academic performance in higher education seems an essential requirement for the improvement in quality education. Data mining techniques play an important role in data analysis. For the construction of a classification model which could predict ...