Machine translation is a cost-effective, quick, and widely accepted automated language translation method that has become essential in the modern and ever more globalized world. Machine translation can be done with one or ...
Computation in Von-Neumann architecture was quite different from the computation in the human mind, which processes in association with the brain by improving quality, accuracy and speed over the generations of execution ...
In today’s world security is the most important aspect. Border criminals, frauds, unauthorized
immigrants are burning issues in Sri Lanka within the last few years due to the lack of proper
identification system i.e. ...
Cry, the universal communication language of the infants encodes vital information about the
physiological and psychological health of the infant. Experienced caregivers can understand
the cause of cry based on the pitch, ...
Human being starts the learning process with a minimal knowledge and then constructs
the knowledge by adding new contents or updating the existing knowledge. The
research ‘Ontological solution for enabling Continuous ...
Meditation has gained lot attraction in modern world. Nevertheless most meditation teachers and practitioners are not fully aware what the expectation is. In most of the meditation centers, the novice meditators follow the ...
The Learning is something very crucial forthe development ofthe human race. Humans
are not a species that bring their intellect hard coded to their DNA, instead they learn
things by observation and repeating the activity ...
Hydrology and water resources research have some interested in to look for new
methodologies that help to address current and future water conflicts over freshwater.
The aim ofthis thesis is applied multi-agent approaches ...
Literature shows that cultivation of cognitive capacities are negatively affected by
five major mental factors, namely, Sensory desire, Anger or 111 will, Sloth torpor,
Restlessness and Doubt. In many instances they do ...
Ontology Driven environment for Semantic Learning is semantic learning software which
is capable of learning from a natural language source. It identifies language complexity,
ambiguity and influence of diverse writing ...
This study presented an Artificial Neural Network approach to promote Automate
Cephelamatric Analysis in Orthodontics. Analysis and interpretation of standardized
radiographs of the facial bones have become an important ...
Attending an emergency service break down in fields such as water, electricity, fire and gas in a domestic environment to find a service provider has been an issue for a technically non competent person or a disable person. ...
Automatic analyzing and extracting useful information from the noisy social media content are currently getting more attention from the research community. Recent days people easily mixing their native language along with ...
Search engines or localized software systems developed for information searching, play an important role in knowledge discovery. Proliferation of data in the web and social media has posed significant challenges in finding ...
There are numerous online merchants and digital payment systems with loyalty offers for customers. However, limited research has been conducted to introduce customer driven bargaining based on profile of the customer. This ...
Generate music using emotional semantics of an image is quiet challenging
task due to the complexity of extracting emotional features of an image and
generate music according to the emotion.This paper proposes an ...
Manufacturing scheduling is considered one of the hardest scheduling problems due to its highly dynamic and uncertain nature. The existing approaches for dynamic scheduling with machine learning techniques require a large ...
Text summarization plays an important role in natural language understanding
and information retrieval. Presently automatic text summarization getting much more
attention by people because it is efficiently and effectively ...
The performance of an Artificial Neural Network (ANN) strongly depends on its hidden layer architecture. The generated solution by an ANN does not guarantee that it has always been devised with the simplest neural network ...
Multi Agent Conflicts are costly but inevitable when autonomous agents operating in Single Multi Agent System to achieve their own goals. However in some circumstances, certain conflicts could not be resolved or remain ...