درباره کنفرانس
چهارمین کنفرانس بین المللی محاسبات نرم در تاریخ 8 دی 1400 لغایت پنجشنبه، 9 دی، 1400 توسط دانشگاه گیلان به صورت آنلاین برگزار می شود.
محورها و حوزه‌های علمی
برگزارکنندگان
- دانشگاه گیلان
نویسندگان حاضر در این دوره
سیدمیثم موسوی
سیده حکیمه حسینی
داود درویشی سلوکلایی
مجتبی زاهدخمیرانی
مرضیه فریدی ماسوله
محمد طالقانی
Behrouz Fathi Vajargah
مجتبی مرادی
راضیه شیخ پور
همایون غفوری
Mohammad Kazemi
رحمت مدندوست
حسین علی یولداشی
Ehsan Fallahiarezoudar
مجید معتمدی
قدسی فیروز
روح الله معصومی
حمید رضا احمدی فر
وحید کیانی
حمید نصیری
فرناز برزین پور
Shayan Naghdi Khanachah
Mohammad Reza Moradi
mirmohsen pedram
مقالات این کنفرانس
A bio-inspired optimization algorithm for estimating the reservoir capacity of dams
A vital task in water resources management is the optimal planning of water delivery through an intellig…
A branch and bound technique for finding the minimal solutions of the linear optimization problems subjected to Lukasiewicz FREs
In this paper, an optimization model with a linear objective function subjected to a system of fuzzy rel…
A generalization of the n(th) - commutativity degree in finite groups
In this paper, we study the number of solutions of commutator equation xn , y =g in a class of finite gr…
A hybrid SLCARMA-GRUNN model for modelling periodic highfrequency data
The intra day return of high frequency financial data have periodic structure These data have volatiliti…
Agility Assessment of Textile Manufacturers: A Fuzzy-AHP Approach
This research proposes a methodology for agility assessment and comparison of three textile manufacturin…
Analyze user behavior patterns on academic search engines
Nowadays, academic search engines have grown rapidly Thus, understanding the users’ information‐seeking…
Anti Soft Rings and Anti Soft Ideals in Rings
In this paper, we define the notions of anti soft subrings and anti soft ideals of a ring, with several…
Application of Radial Basis Functions (RBF) for Efficient Design of Dual-Band Wilkinson Power Divider
In this paper, with the use of radial basis functions of neural networks RBF NN , closed forms for analy…
Application of Statistical Machine Learning and Deep Learning in Diagnosis of COVID-19 through CT Images
Coronavirus disease, first detected in late 2019 COVID 19 , has spread fast throughout the world, leadin…
Bayesian estimation of reliability for Reyleigh distribution under the entropy loss function
Rayleigh distribution is one of the functional distributions in real data modeling and utmost use is in…
Can Google Trends Data Predict Next Covid-19 Peak? A Machine Leaning Approach
In the area of big data, Google trends and its forecasting power have received considerable attention am…
Classification model for Statlog heart disease prediction through evolutionary feature selection and GMDH neural network
Heart disease prediction is a critical task regarding human health In order to drop its rate, effective…
Complex Data Analysis: modeling of interval-valued functional Data
Recent technological advances have led to the appearance of high dimensional and complex datasets Functi…
Convolutional Neural Networks with Different Dimensions for POLSAR Image Classification
Polarimetric Synthetic aperture radar PolSAR images contain polarimetric and spatial information of mate…
Cubic metric reduction in PTS scheme using an enhanced sunflower optimization algorithm
This paper presents a new nature inspired optimization algorithm for the cubic metric CM reduction probl…
Data clustering using fuzzy K-means and stock exchange trading optimization algorithm
Data clustering is an important problem in computer science The objective of data clustering is to parti…
Denoising of Bivariate Normal distribution by Shrinkage Wavelet Method Based on the New Threshold
Normal distribution is one of the most important and widely used statistical distributions According to…
Design and Characterization of Single Quantum Well GaAs-based Laser Diode
The GaAs based laser diode with single quantum well structure is theoretically designed and characterize…
Design of an Interval Type-2 TSK Fuzzy System for System Identification with Application to Time-Series Prediction
Type 2 fuzzy systems have three dimensional membership functions and a footprint of uncertainties Hence…
Efficient Transient Analysis of Overhead Lines Terminated with Lightning Arresters under Lightning Return Strokes
In this paper, with the use of adaptive network fuzzy inference systems ANFIS , analysis of single condu…