HYBRID EVENT: You can participate in person at Bago, Burma or Virtually from your home or work
Scholars Forum Listener Registration

International Conference on Applied Machine Learning for Scientific Applications (ICAML-SA - 27)

6th - 7th April 2027 Bago, Burma
Hybrid Access Invitation Support

Join researchers, academicians, professionals, and industry experts from around the world to exchange knowledge, engage in academic discussions, and advance solutions for a sustainable future.

Academic Participation Experience

Engage in high-quality sessions, gain insights from domain experts, and be part of meaningful academic discussions.

Official Invitation Letter Available

Registered listeners can request an official invitation letter after successful registration confirmation.

Benefits of Registering as Listener
Access to All Conference Sessions

Attend keynote, plenary and technical sessions across relevant tracks.

Networking Opportunities

Connect with global researchers, professionals and domain experts.

Certificate of Participation

Receive an official participation certificate after successful attendance.

Invitation Support

Request invitation letter support after confirmed registration.

Conference Materials

Access available abstracts, session resources and digital materials.

Expert Insights

Gain knowledge from leading speakers and field specialists.

2 Participant Details
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4 Terms & Condition
Conference Programme and Participation Policy:

The Organiser may create shared sessions for research themes spanning more than one discipline, enabling participants to exchange knowledge, build professional relationships, and identify new opportunities for academic cooperation.

Refund, Cancellation, Postponement, Travel and Transfer of Registration:
Refund Policy:

If the registrant is unable to attend and is not in a position to transfer his/her participation to another person or event, then the following refund arrangements apply: Keeping given advance payments towards Venue, Printing, Shipping, Hotels, and other overheads, we had to keep the Refund Policy as the following slabs:

1. Cancellations made before 60 days of the conference are eligible for a full refund, subject to a $100 cancellation charge.
2. Cancellations made within 60-30 days of the conference are eligible for a 50% payment refund.
3. Cancellations made within 30 days of the conference are not eligible for a refund.
4. Virtual Participation registrations are non-refundable.

(a) The above refund policies are applicable only if the registrant has not received the official invitation letter for participation in the event, If the client receives the conference invitation letter but cannot attend the conference, no refund will be provided.

(b) If the client cannot attend the conference for any personal reasons, the registration fee is not refundable. However, the fee will be considered as a credit to participate in any of our international conferences within one year from the date of registration.

(c) In the event of a visa denial, travel reasons, or natural calamities preventing attendance, the registration fee will not be refunded. However, the fee will be considered as a credit to participate in any of our international conferences within one year from the date of registration.

(d) Since this conference is hybrid, the organizer reserves the right to conduct it in any format, physical or virtual. Refunds will not be provided for format changes.

(e) For participants who register close to the conference date or after the standard registration deadline, The registration will be considered for virtual participation only, as the conference is in hybrid mode. However, you will be eligible to attend one more international conference based on your registration category.

Cancellation Policy:

If the organizer cancels this event for any reason, you will receive a credit for 100% of the registration fee paid. You may use this credit for another event which must occur within one year from the date of cancellation.

Postponement of Event:

If the organizer postpones an event for any reason and you are unable or unwilling to attend on rescheduled dates, you will receive a credit for 100% of the registration fee paid. You may use this credit for another event which must occur within one year from the date of postponement.

Travel and Accommodation Responsibilities:

a) The responsibility for making and managing travel arrangements, including flights, transportation, and accommodation, lies solely with the individual participant.

b) In the event of any changes to the conference format, cancellation, or venue adjustments, the organizers cannot assume responsibility for any costs incurred by participants for travel or accommodation.

Transfer of registration:

All fully paid registrations are transferable to other persons from the same organization if the registered person is unable to attend the event. Transfers must be made by the registered person in writing to [email protected]. Details must include the full name of the replacement person, their title, contact phone number, and email address. All other registration details will be assigned to the new person unless otherwise specified. Registration can be transferred from one conference to another conference of the same organizer if the registrant is unable to attend one of the conferences

However, Registration cannot be transferred if it is intimated within 14 days of the respective conference. The transferred registrations will not be eligible for Refund.

Visa Information:

The organizer will not directly contact embassies and consulates on behalf of visa applicants. All delegates or invitees should take responsibility for their visa and travel arrangements. Important note for failed visa applications: Visa issues cannot come under the consideration of the cancellation policy of the organizer, including the inability to obtain a visa.

N.B:

All cancellations or modifications of registration must be made in writing to [email protected]

I agree and accept the Terms and Conditions of the website https://scholarsforum.net/

Conference Session Tracks

Aligned with United Nations Sustainable Development Goals

Our conference tracks support global knowledge exchange, innovation, and sustainable development priorities across diverse disciplines.

SDG 4 SDG 9 SDG 12 SDG 13 SDG 16 SDG 17
01 Advancements in Neural Networks for Scientific Applications
This track focuses on the latest developments in neural network architectures and their applications in various scientific fields. Researchers are encouraged to present novel methodologies that enhance the performance and applicability of neural networks in solving complex scientific problems.
02 Optimization Algorithms in Computational Science
This session explores innovative optimization algorithms that improve computational efficiency and accuracy in scientific research. Contributions should highlight practical applications and theoretical advancements in optimization techniques.
03 Big Data Analytics in Scientific Research
This track addresses the challenges and solutions associated with big data analytics in scientific contexts. Papers should focus on methodologies that leverage large datasets to derive meaningful insights and drive scientific discoveries.
04 Predictive Analytics for Scientific Modeling
This session emphasizes the role of predictive analytics in enhancing scientific modeling and simulations. Participants are invited to share case studies and frameworks that demonstrate the effectiveness of predictive techniques in various scientific domains.
05 Data Mining Techniques for Scientific Discovery
This track highlights the application of data mining techniques to uncover hidden patterns and relationships in scientific data. Researchers are encouraged to present innovative approaches that facilitate data-driven discoveries across disciplines.
06 Pattern Recognition in Complex Scientific Data
This session focuses on the methodologies and applications of pattern recognition in analyzing complex scientific datasets. Contributions should showcase how pattern recognition techniques can lead to significant advancements in understanding scientific phenomena.
07 Automation in Data-Driven Scientific Research
This track explores the integration of automation in data-driven scientific research processes. Papers should discuss the impact of automation on efficiency, accuracy, and reproducibility in scientific investigations.
08 Quantitative Methods in Applied Mathematics
This session emphasizes the use of quantitative methods in applied mathematics to address real-world scientific challenges. Researchers are invited to present methodologies that bridge theoretical mathematics and practical applications.
09 Statistical Approaches in Computational Science
This track focuses on the application of statistical methods in computational science to enhance data analysis and interpretation. Contributions should illustrate how statistical techniques can improve the robustness of scientific findings.
10 Simulation Techniques for Scientific Research
This session highlights the role of simulation techniques in modeling complex scientific systems. Papers should present innovative simulation methodologies that provide insights into dynamic processes across various scientific fields.
11 Interdisciplinary Applications of Machine Learning
This track explores the interdisciplinary applications of machine learning techniques in scientific research. Researchers are encouraged to share case studies that demonstrate the transformative potential of machine learning across diverse scientific disciplines.