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

International Conference on Deep Learning Techniques for Data Analytics (ICDLTDA - 26)

10th - 11th October 2026 Abuja, Nigeria
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
Apply
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 3 SDG 4 SDG 8 SDG 9 SDG 10 SDG 11 SDG 12 SDG 16 SDG 17
01 Advancements in Deep Learning Algorithms
This track focuses on the latest developments in deep learning algorithms, emphasizing their application in data analytics. Researchers are encouraged to present novel approaches that enhance the performance and efficiency of neural networks.
02 Neural Networks for Predictive Modeling
This session explores the use of neural networks in predictive modeling across various domains. Contributions that demonstrate the effectiveness of these models in real-world applications are particularly welcome.
03 Feature Extraction Techniques in Data Science
This track delves into innovative feature extraction methods that improve data representation for deep learning models. Papers that highlight the impact of these techniques on model performance are encouraged.
04 Convolutional Networks in Image and Signal Processing
This session is dedicated to the application of convolutional networks in image and signal processing tasks. Researchers are invited to share their findings on how these networks can enhance pattern recognition and data interpretation.
05 Recurrent Networks for Time Series Analysis
This track examines the role of recurrent networks in analyzing time series data. Contributions that showcase the ability of these networks to capture temporal dependencies and improve forecasting accuracy are sought.
06 Big Data Analytics with Machine Learning
This session focuses on the integration of machine learning techniques in big data analytics. Papers that discuss scalable solutions and novel algorithms for handling large datasets are particularly encouraged.
07 Artificial Intelligence in Data-Driven Decision Making
This track investigates the application of artificial intelligence in enhancing data-driven decision-making processes. Researchers are invited to present case studies and methodologies that illustrate the impact of AI on business and research outcomes.
08 Pattern Recognition Algorithms in Data Science
This session highlights the development and application of pattern recognition algorithms in various data science contexts. Contributions that demonstrate innovative approaches to classification and clustering are welcome.
09 Ethical Considerations in Deep Learning Applications
This track addresses the ethical implications of deploying deep learning techniques in data analytics. Papers that explore issues such as bias, transparency, and accountability in AI systems are encouraged.
10 Interdisciplinary Applications of Deep Learning
This session showcases interdisciplinary applications of deep learning techniques across fields such as healthcare, finance, and social sciences. Researchers are invited to share insights on how deep learning can solve complex problems in diverse domains.
11 Future Trends in Deep Learning and Data Analytics
This track looks ahead to emerging trends and future directions in deep learning and data analytics. Contributions that speculate on the next generation of techniques and their potential impact on the field are highly encouraged.