Indications of people’s environmental concern are linked to transport decisions and can provide great support for policymaking on climate change. This study aims better predict individual change stage (CC-SoC) based different features transport-related behavior, General Ecological Behavior, New Environmental Paradigm, socio-demographic characteristics. Together these sources result in over 100 ...

Software development involves several interrelated factors that influence efforts and productivity. Improving the estimation techniques available to project managers will facilitate more effective time budget control in software development. Effort Estimation or cost/effort can help a company overcome difficulties experienced estimating efforts. This study aims compare Machine Learning method o...

Several studies have used machine learning algorithms to develop intrusion systems (IDS), which differentiate anomalous behaviours from the normal activities of network systems. Due ease automated data collection and subsequently an increased size collected on traffic activities, complexity analysis is increasing exponentially. A particular issue, due statistical computation limitations, a sing...

INTRODUCTION: Skin cancer is an emerging disease all over the world which causes a huge mortality. To detect skin at early stage, computer aided systems designed. The most crucial step in it feature selection process because of its greater impact on classification performance. Various algorithms were designed previously to find relevant features from set attributes. Yet, there arise challenges ...

Automatic Speech Recognition (ASR) involves mainly two steps; feature extraction and classification (pattern recognition). Mel Frequency Cepstral Coefficient (MFCC) is used as one of the prominent feature extraction techniques in ASR. Usually, the set of all 12 MFCC coefficients is used as the feature vector in the classification step. But the question is whether the same or improved classifica...

Presynaptic and postsynaptic neurotoxins are proteins which act at the presynaptic and postsynaptic membrane. Correctly predicting presynaptic and postsynaptic neurotoxins will provide important clues for drug-target discovery and drug design. In this study, we developed a theoretical method to discriminate presynaptic neurotoxins from postsynaptic neurotoxins. A strict and objective benchmark ...