Publication Frequency:

 The Journal of Machine Learning and Deep Learning (JMLDL) is published Three times yearly.

Open Access Policy:

 This journal offers instant open access to its content, believing that making research freely accessible to the public promotes enhanced global knowledge sharing. 

Peer Review Time:

• Submission to the first decision is up to 4 weeks. 

• Revised to the final decision is up to 2 weeks.

•  Acceptance to publish is up to 7 days.

Publication fee: 

This journal charges the following author fees.

Article Publication Fee: $ 400 (USD) (Free During 2025)

Table of contents:

1- Optimization of Neural Network Weights with Nature Inspired Algorithm 

Authors: Yusra Shereen

2- Prediction of Heart Diseases Using Cooperative AI Approach   

Authors:  Prabhudutta Ray, Dr. Raj Rawal, Dr. Brijesh Jajal, Dr. Ahesan Z. Rizvi

3- A Survey on Reinforcement Learning Applications in SLAM

Authors: Mohammad Dehghani Tezerjani, Mohammad Khoshnazar, Mohammadhamed Tangestanizadeh,Arman Kiani, Qing Yang

4- Advances and Evaluation of Intelligent Techniques in

Short-Term Load Forecasting

Authors: Jamshaid Iqbal Janjua, Tahir Abbas

5- Uncertainty Estimation in Deep Learning: Methods and Applications

Authors: Hina Batool, Tahir Abbas, Jamshaid Iqbal Janjua, Sadaqat Ali Ramay