احسان ناظر فرد - دانشگاه صنعتی امیرکبیر

Elnaz Soleimani, Ehsan Nazerfard, "Cross-Subject Transfer Learning in Human Activity Recognition Systems using Generative Adversarial Networks", NEUROCOMPUTING, Vol. 0, Num. 0, Page 1-11, November 2020,

Milad Sadat Mohammadi, Morteza Nazari-Heris, Ehsan Nazerfard, Mehrdad Abedi, Somayeh Asadi, Houtan Jebelli, "Intelligent Approach for Residential Load Scheduling", IET GENERATION TRANSMISSION & DISTRIBUTION, Vol. 14, Num. 21, Page 4738-4745, September 2020,

M.S.M, M.N.H, Ehsan Nazerfard, Mehrdad Abedi, S.A, H.J, "Intelligent approach for residential load scheduling", IET GENERATION TRANSMISSION & DISTRIBUTION, Vol. 14, Num. 21, Page 4738-4745, September 2020,

Parviz Asghari, Elnaz Soleimani, Ehsan Nazerfard, "Online Human Activity Recognition Employing Hierarchical Hidden Markov Models", Journal of Ambient Intelligence and Humanized Computing, Vol. 11, Num. 1, Page 1-12, June 2019,

Ehsan Nazerfard, "Temporal Features and Relations Discovery of Activities from Sensor Data", Journal of Ambient Intelligence and Humanized Computing, Vol. 10, Num. 1, Page 1-15, May 2018,

مقالات کنفرانس

داده های ثبت شده در پورتال

Yoosof Mashayekhi, Ehsan Nazerfard, Alireza Ranjbar, Samira Shirzadeh, "The MinMax Fuzzy C-Means ", 5th International Conference on Knowledge-Based Engineering and Innovation, February 2019

Parviz Asghari, Ehsan Nazerfard, "Activity Recognition using Hierarchical Hidden Markov Models on Streaming Sensor Data ", The 9th International Symposium on Telecommunications, December 2018

Masoomeh Rahimi Ghazikalayeh, Asghar Zarei, Ehsan Nazerfard, Mohammad Hassan Moradi, "Ensemble Methods Combination for Motor Imagery Tasks in Brain Computer Interface ", International Iranian Conference on Biomedical Engineering-ICBME, November 2016

دروس ارائه شده

عنوان درس

توصیف درس

سرفصل ها

دوره درسی

Special Topics (Applied Linear Algebra)

The course consists of the topics of linear algebra and its applications and optimization that are extensively used in different fields of computer engineering. The course contains topics of linear equations, matrices, eigenvalues and eigenvectors, v

Fall 2020

Machine Learning

The objective of Machine Learning is to study algorithms capable of learning from past experiences and data

Fall 2020

Data Mining

Data mining is a practice of data processing and applying algorithms on the data available from domain to solve domain related problems. Data mining involves six common classes of tasks: • Anomaly detection (outlier/change/deviation detection) –

Spring 2020

Machine Learning

The objective of Machine Learning is to study algorithms capable of learning from past experiences and data

Spring 2020

Fundamentals of Computer Programming

In this course, the students will learn how to code using the C programming language

Fall 2019

Fundamentals of Computer Programming

In this course, the students will learn how to code using the C programming language

Fall 2019

Machine Learning

The objective of Machine Learning is to study algorithms capable of learning from past experiences and data

Fall 2019