Many different Artificial Intelligence and Machine Learning architectures and algorithms have been developed, each with their own strengths and weaknesses that make them particularly suited to certain classes of problems. Two approaches to artificial intelligence are dealt with here: subsumption architecture, and neural networks. S.A.’s are good at building up complex behaviors from sets of sim...

This paper presents a Hybrid Approach to Deep Machine Translation in the language direction from English to Bulgarian. The set-up uses preand post-processing modules as well as two-level transfer. The language resources that have been incorporated are: WordNets for both languages; a valency lexicon for Bulgarian; aligned parallel corpora. The architecture comprises a predominantly statistical c...

forecasting of municipal waste generation is a critical challenge for decision making and planning,because proper planning and operation of a solid waste management system is intensively affected by municipal solid waste (msw) streams analysis and accurate predictions of solid waste quantities generated. due to dynamic and complexity of solid waste management system, models by artificial intell...

Video is an increasingly common mode of communication and expression, but the resultant archives are massive, disconnected datasets. This severely hinders research in this area, and this will only get worse as the archive expands. Our aim in the Large Scale Video Analytics (LSVA) project is to address obstacles in both image-retrieval and research that uses extreme-scale archives of video data ...

An hybrid SVM-symbolic architecture for classification tasks is proposed in this work. The learning system relies on a support vector machine (SVM), meanwhile a rule extraction module translate the embedded knowledge in the trained SVM in the form of symbolic rules. The new representation is useful to understand the nature of the problem and its solution. Moreover, a rule insertion module in th...

Cyberbullying is becoming a major concern in online environments with troubling consequences. However, most of the technical studies have focused on the detection of cyberbullying through identifying harassing comments rather than preventing the incidents by detecting the bullies. In this work we study the automatic detection of bully users on YouTube. We compare three types of automatic detect...

Hindi-Punjabi being closely related language pair (Goyal V. and Lehal G.S., 2008) , Hybrid Machine Translation approach has been used for developing Hindi to Punjabi Machine Translation System. Non-availability of lexical resources, spelling variations in the source language text, source text ambiguous words, named entity recognition and collocations are the major challenges faced while develop...

Work in hybrid human-machine query processing has thus far focused on the data: gathering, cleaning, and sorting. In this paper, we address a missed opportunity to use crowdsourcing to understand the query itself. We propose a novel hybrid human-machine approach that leverages the crowd to gain knowledge of query structure and entity relationships. The proposed system exploits a combination of ...

This paper presents a methodology of rapid testing for different control algorithms of electrical drives with inverter-fed induction motors used for the propulsion of hybrid electric vehicles. For analysis, modeling and off-line simulation of the vehicle operations conditions, and also for the testing in real time of the control algorithm performance certain hardware/software products COTS (ADV...