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ICMLFDE · Registering as Author / Presenter

International Conference on Machine Learning for Fault Diagnosis in Engineering

25th Aug – 26th Aug 2026 Alexandria, Egypt Standard / Author / Presenter Participation
Author / Presenter Registration
$178
virtual · $237 in person
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Rules and Regulations (Read Carefully before registration)
1.1 For paper Submission and Publication in ASAR Conferences:
  1. All Authors and Co-authors must inform their respective Dept. Head/Principal/Guide about the paper submission of papers into ASAR Conferences.
  2. ASAR accepts each paper for conference after doing the review by two internal or external ASAR Reviewers.
  3. ASAR never publishes any unregistered paper.
  4. ASAR is not responsible for identifying the original author or co-author of the paper. The person who submits the paper will be taken as the original author of the paper.
  5. In any case if ASAR receives the complaint about the originality of the author and it is found to be true the paper will be suspended from the publication immediately.
  6. ASAR can’t republish or distribute any suspended paper from the date of suspension.
1.2 Attending ASAR International Conferences:
  1. All participants should register before coming to the conference by paying the specified amount mentioned at the registration menu on the website.
  2. The Organizer has all the rights to change the venue and date at any time before the conference at any time. If the organizing Committee decides to change the venue and Date of Event, all delegates will get the information via their registered email ID.
  3. ASAR will be not responsible for any kind of financial loss due to any ticket cancellation or any bookings of the registered participants if the conference gets format change from physical to virtual or rescheduled to another place or date at any time.
  4. If at any time the author does not want to attain the conference and cancel the registration then no money will be refunded.
  5. ASAR has all rights reserved, not to refund any money to the registered author or co- author who attended the conference and accepts the publication/ certificate during or after the conference at any time.
  6. If the Author is unable to attend the conference for any personal reason,then the co-Authors should attend the conference. No refund will be encouraged.
1.3 Cancellation & Refund Policy:
  1. Registration Cancellation will be accepted if the registrant/ participant did not receive the official invitation letter. If the registrant/ participant receives the official invitation letter then the registrant/ participant is not eligible to claim refund.
  2. A full refund is applicable only if the registrant/ participant requests for a refund before 70 days from the conference date and the cancellation form needs to be submitted before 60 days from the conference date.
  3. If the cancellation request is raised in 30 days or less than 30 days from the conference date, then the registrant/ participant is not eligible for a refund. However, the registrant/ participant will receive a credit for the fee and the credit will be valid for a period of one year from the time of their registration.
  4. If the cancellation request is raised between 60-30 days from the conference date, the registrant/ participant will be eligible for a partial refund from the registration fee received. Charges will be included in case if the registrant/ participant received any document from the organization.
  5. If the registrant/ participant completed the registration less than 30 days from the conference date, no refund will be applicable. They will have only the conference switch option, since the registration fee will be valid for one year, the registrant/ participant can use the credit and choose any other international conference within the one-year period.
  6. If the registered participant cannot attend the conference for any personal reason, 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.
  7. If the conferences are scheduled in a hybrid format the organizer has all the rights to conduct the conference in physical or virtual format. The refund is not applicable for the format changes.
  8. Virtual Participation registrations are non-refundable
1.4 Travel and Accommodation Responsibilities:
  1. ASAR will never take responsibility for making and managing travel arrangements, including flights, transportation, and accommodation, and lies solely with the individual participant.
  2. 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.
  3. The registration fees paid by the registrant/ participant does not include any travel and accommodation charges.
1.5 Transfer of registration:
  1. All fully paid registrations are transferable to other persons from the same organization/Institution if the registered person is unable to attend the event. Registration form should be submitted.
  2. Transfers must be made by the registered person in writing to info@asar.net.in. Details must be submitted through the registration form at the earliest with reference to the previous registration details and attested by the cardholder signature for the transformation confirmation.
  3. 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.
  4. 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.
1.6 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.

For participants who register close to the conference date or after the registration deadline mentioned in Important dates, your 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

**To be Noted:

  1. All cancellations or modifications of registration must be made in writing to info@asar.net.in
  2. All the participants are aware of these terms and conditions before completing the conference fee transaction and registration completion.
  3. We do not initiate any auto debit. All the transactions are completed by the participants on their own with their interest only after reviewing the terms and conditions of the ASAR organization.
  4. After completion of the registration the participant/ registrant needs to submit the conference registration form within 3 days from the date of registration completion. The registration form will be available on the event page. If the participant/ registrant did not submit the registration form, the participant for the event will not be confirmed.
  5. Please do not book your travel arrangements until you receive the official conference program details. These details will be sent via email 15 days before the conference date.
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Registration summary

ConferenceICMLFDE
ModeStandard / Physical
ParticipationAuthor / Presenter
Registration fee$237.00
Bank charges (5.8%)$13.75
Total payable $
Includes all bank processing charges — the amount above is exactly what will be charged.

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Benefits of Registering as Author / Presenter

Access to Conference Sessions

Networking Opportunities

Certificate of Participation

Invitation Letter Support

Conference Kit / Materials

Access to Keynote Sessions

Conference Session Tracks

Sustainable Development Goals

SDG-Aligned Research Themes

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

SDG 8: Decent Work and Economic Growth SDG 9: Industry, Innovation and Infrastructure SDG 11: Sustainable Cities and Communities SDG 12: Responsible Consumption and Production
01 Advancements in Machine Learning Techniques for Fault Diagnosis +
This track focuses on the latest developments in machine learning methodologies specifically tailored for fault diagnosis in engineering systems. Contributions may include novel algorithms, frameworks, and comparative studies that enhance diagnostic accuracy and efficiency.
02 Predictive Maintenance Strategies Leveraging Data Science +
This session explores innovative predictive maintenance strategies that utilize data science techniques to anticipate equipment failures. Papers should highlight case studies, implementation challenges, and the impact of these strategies on operational efficiency.
03 Deep Learning Approaches for Anomaly Detection in Engineering +
This track invites research on deep learning models designed for detecting anomalies in engineering systems. Submissions should demonstrate the effectiveness of these models in real-world applications and their advantages over traditional methods.
04 Feature Extraction Techniques for Enhanced Fault Diagnosis +
This session emphasizes the importance of feature extraction in improving the performance of fault diagnosis systems. Contributions should present novel techniques, methodologies, and their applications in various engineering domains.
05 Condition Monitoring and System Health Assessment +
This track addresses the integration of machine learning in condition monitoring and health assessment of engineering systems. Papers should discuss methodologies for real-time monitoring and predictive analytics to ensure system reliability.
06 Unsupervised Learning Applications in Fault Detection +
This session focuses on the application of unsupervised learning techniques for fault detection in complex engineering environments. Contributions should explore innovative approaches that do not rely on labeled data and their effectiveness in identifying faults.
07 Time Series Analysis for Predictive Modeling in Engineering +
This track highlights the role of time series analysis in predictive modeling for engineering applications. Submissions should showcase methodologies that leverage temporal data to forecast failures and enhance decision-making processes.
08 Industrial IoT and Sensor Analytics for Fault Diagnosis +
This session investigates the intersection of industrial IoT and sensor analytics in the context of fault diagnosis. Papers should discuss the challenges and opportunities presented by IoT data in improving diagnostic capabilities.
09 Reliability Engineering and Machine Learning Integration +
This track explores the integration of machine learning techniques within the field of reliability engineering. Contributions should focus on enhancing reliability assessments and failure prediction through advanced analytical methods.
10 Model Optimization Techniques for Enhanced Diagnostics +
This session delves into model optimization strategies aimed at improving diagnostic algorithms. Papers should present innovative approaches that enhance model performance and computational efficiency in fault diagnosis.
11 Diagnostics Algorithms for Engineering Applications +
This track invites research on the development and application of diagnostics algorithms across various engineering fields. Contributions should emphasize practical implementations and their impact on fault detection and resolution.