PROJECT TITLE :

Challenges for Perceptual Computer Applications and How They Were Overcome

ABSTRACT:

Perceptual Computing could be a methodology of Computing with Words (CWW) to assist humans in creating subjective judgments. This article introduces the Perceptual Pc (Per-C), our instantiation of Perceptual Computing. Per-C consists of three parts: encoder, CWW engine and decoder. Perceptionswordsactivate the Per-C and are the Per-C output (along with information); thus, it's doable for a person's to interact with the Per-C using just a vocabulary. The encoder transforms words into fuzzy sets and leads to a codebookwords with their associated fuzzy set models. The outputs of the encoder activate a CWW engine whose output is a number of other fuzzy sets, that are then mapped by the decoder into a recommendation (subjective judgment) with supporting knowledge. The recommendation might be in the form of a word, group of comparable words, rank or category. When the Per-C was applied to actual applications, challenges occurred that needed to be overcome. In this text we describe 3 applications (investment decision creating, social judgment creating, and distributed call creating), the challenges encountered and how they were overcome.


Did you like this research project?

To get this research project Guidelines, Training and Code... Click Here


PROJECT TITLE : Wireless Sensor Network as a Mesh: Vision and Challenges ABSTRACT: These days, technology related to networks is advancing at a breakneck pace. Manufacturers are being forced to produce more powerful and "smart"
PROJECT TITLE : Short Text Topic Modeling Techniques, Applications, and Performance: A Survey ABSTRACT: The semantic understanding of short texts is required for a wide variety of real-world applications, so their analysis allows
PROJECT TITLE : A Blockchain Footprint for Authentication of IoT-Enabled Smart Devices in Smart Cities: State-of-the-Art Advancements, Challenges and Future Research Directions ABSTRACT: The mechanisms that are based on distributed
PROJECT TITLE : Challenges in KNN Classification ABSTRACT: One of the most common and widely used data mining algorithms is called the KNN algorithm. It has been widely applied to data analysis applications across a wide range
PROJECT TITLE : An Empirical Review of Deep Learning Frameworks for Change Detection Model Design, Experimental Frameworks, Challenges and Research Needs ABSTRACT: One of the fundamental objectives of computer vision and video

Ready to Complete Your Academic MTech Project Work In Affordable Price ?

Project Enquiry