Recommendation system has been seen to be very useful for user to select an item amongst many. Most existing recommendation systems rely either on a collaborative approach or a content-based approach to make recommendations. We have applied machine learning techniques to build recommender systems. We have taken two approaches. In the first approach a content based recommender system is built, w...

l. Introduction In 1984 Fujitsu marketed the automatic machine translation systems, ATLAS-I and ATLAS II. ATLAS-I was the world's first commercial Eng1ish-Japanese translation system. Fujitsu is also conducting a joint project on research and development of a Japanese-Korean machine translation system in cooperation with Korean Advanced Institute of Science and Technology. ATLAS II aims at achi...

This research deals with a hybrid flow shop scheduling problem with parallel batching, machine eligibility, unrelated parallel machine, and different release dates to minimize the sum of the total weighted earliness and tardiness (ET) penalties. In parallel batching situation, it is supposed that number of machine in some stages are able to perform a certain number of jobs simultaneously. First...

Statistical methods, and especially machine learning, have been increasingly used in nanofluid modeling. This paper presents some of the interesting and applicable methods for thermal conductivity prediction and compares them with each other according to results and errors that are defined. The thermal conductivity of nanofluids increases with the volume fraction and temperature. Machine learni...

Salary prediction is a popular problem among the Data Science community for complete beginners. Through this regression analysis, we found perfect linear relationship between salary and job experience of people. It means more results in higher salary. This research paper presents software Prediction System that aims to address challenge accurately estimating salaries industry. The system provid...

Career Guidance System is important for students going through academic and pursuing courses to access their capabilities identify interests. This paper mainly concentrates on career guidance personality prediction. It helps them decide which job role suits the best based performance other evaluations. The system will predict Big Five personality, VAK learning type of users data collected from ...

this paper presents a new damping controller design based on fuzzy wavelet neural network (fwnn) to damp the multi-machine power system low frequency oscillations. the error between the desired system output and the output of control object is directly utilized to tune the network parameters. the orthogonal least square (ols) algorithm is used to purify the wavelets for each rule and determine ...