Deep learning algorithm & Machine learning algorithm... which algorithm gives high success rate in working with fundus image?

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Suggest healthy tips to balance stress in the work and life when doing research?

Stress management

02 March 2019 2,473 5 View

Can anybody suggest me of finding alternative method of detecting Glaucoma other than CDR?

Currently most of the researchers working on CDR for finding Glaucoma disease. Let me know any other alternative efficient method of diagnosing the disease.

03 April 2018 9,761 11 View

No title

I am wondering to know whether the brain structure is closely connected with Glaucoma. Couldnt find papers also related to that.

03 April 2018 9,764 5 View

Why should we choose deep learning to machine learning? Why is CNN better for image classification? Can I get Typical Answer?

What Characteristics makes CNN work better?

03 March 2021 1,458 4 View

What are some of the research gaps in machine learning and artificial intelligence in africa?

i would to know some of the research gaps in the artificial intelligence field in most african countries.

03 March 2021 6,145 3 View

Anyone plz suggest relevant topic for research in image processing+Deep learning.?

I have selected brain tumor images ...but now found that already lots of research done n this topic.

03 March 2021 5,774 3 View

How to increase a model accuracy ?

dear community, my model is based feature extraction from non stationary signals using discrete Wavelet Transform and then using statistical features then machine learning classifiers in order to...

03 March 2021 6,994 5 View

Can you share me how teacher education is managed in your respective national educational system?

I feel that the practice in teacher education in my country is below the expected performance level due to very poor management system. Hope I will learn something from your experiences.

02 March 2021 1,516 4 View

Can NFL theorem be valid in infinite search space in ML?

NFL theorem is valid for algorithms training in fixed training set. However, the general characteristic of algorithms in expanded or open dataset has not been proved yet. Could you show your...

01 March 2021 1,189 3 View

What is the difference between L1 and L2 regularization in machine learning?

L1 and L2 regularization

28 February 2021 4,187 3 View

How to eliminate Steady state error from Reinforcement learning genetic algorithm code?

The following code (see 1st 2 images attached) is used to produce PID controller values that are designed to control the system (G). The code finds the PID controller values (noted as k) by using...

28 February 2021 6,560 14 View

Is there any Machine Learning/AI algorithm that lets you predict with incomplete features without missing value imputation process?

For instance, the model is trained with A,B,C,D,E features to predict F target. Then, I want to make prediction on a new data, but with only A,C,D,E is known without doing missing value imputation...

28 February 2021 1,556 6 View

How can I represent SDS-PAGE results for machine learning analysis?

I am trying to classify and analyze the results of an SDS-PAGE based array for bacterial detection using machine learning, but I have trouble finding the best way to represent the results with...

27 February 2021 9,176 3 View

Kamal M Othman

One of the good things with DL is that it extracts features without our intervention. The conventional ML algorithms need features to be extracted before using them.

At the end, it depends on your project and dataset

Marianne Levon Shahsuvaryan

Another paper on the matter

One more

Shanthi Rajaji

Marianne, Thanks for the link.

Md. Sultan Mahmud

It depends on number of data sets. DL needs huge data set to train your algorithm to achieve good results. However, ML can work with small sets of data sets. DL takes less computational time compare to ML algorithm.