Ilia AbolhasaniSharif University of Technology | SHARIF · Department of Computer Engineering
Master of Science in Bioinformatics
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Citations since 2017
3 Research Items
Master student in Bioinformatics at Sharif University of Technology. My current research is about Algorithms usage in the binning of the metagenomics dataset.
امروزه تشخیص بدافزارهای گوشی های هوشمند یک فاکتور امنیتی مهم محسوب میشود. روش های تشخیص مبتنی بر امضا نمی توانند به درستی ویروس های چندگانه را شناسایی کنند. بدین منظور تکنیک های مبتنی بر یادگیری ماشین با کارایی بالا پیشنهاد شدند. در این مقاله، از روش ترکیبی مبتنی بر یادگیری ماشین برای یافتن پارامترهای بهینه ای که میتواند شناسایی بدافزارها را تسهی...
Nowadays service robots are very useful and become a part of our life. These robots can help us in daily activities in an easy interactive way. In this article we present how a Service Human Robot (SHR) can be programmed to do several tasks in a home-like environment i.e. navigating to a given loca-tion, recognizing, grasping and bringing objects e...
This paper studies on the two main parties of supply chain network; distribution centers (DCs) and costumers. The allocation problem of these parties is one of the main issues in the supply chain. There are two core types of cost for this problem; opening cost, assumed for opening a potential DC plus dispatching cost per unit from DC to the costume...
How can we avoid overfitting in Adaptive Neuro-Fuzzy Inference System (ANFIS) when we try to train it via PSO Algorithm ?
We want to build a quadcopter for a research project,but I have trouble choosing the battery,,,i'm looking for one with the lowest weight and highest capacity,and the price doesn't matter!
And i want this quadcopter to be able to work for an hour and it's weight be less than 3.5 kilograms and it's be able to ship(take) thing up to 1 kilograms
thanks for any help possible
in pso algorithm for solving an issue with chenging the sequents of element of representative solution ,all elements will chenge and because of elemants dependence to each other, this algorithm didn't go to a
converge optimized answer
how can we solve this problem and converge the algorithm?
representative solution Included two parts.
in first part Included permutation of integers that coded continuous
between 0 and 1
and in fitness function will be decoded to integers
and second part included continuous number between 0 and 1
direction of second part is depended to values of the first part
there is no problem with duplicate answer in permutation because of considering fixer procedure
in genetic algorithm , suppose we have population with 100 chromosome ,
and each chromosome have 20 gene include integer between 1 and 10...
we choose 10 percent of the best chromosomes of this population and extract rule and pattarn ...
for example : mostly in good chromosome 2 come before 9 in specific gene or all...
The gene sequence rule