The International Research Conference Aims and Objectives
The International Research Conference is a federated organization dedicated to bringing together a significant number of diverse scholarly events for presentation
within the conference program. Events will run over a span of time during the conference depending on the number and length of the presentations.
With its high quality, it provides an exceptional value for students, academics and industry researchers.
ICADLTA 2021: 15. International Conference on Advances in Deep Learning Technologies and Applications
aims to bring together leading academic scientists, researchers and research scholars to exchange and share their experiences and research results on all aspects of
Advances in Deep Learning Technologies and Applications.
It also provides a premier interdisciplinary platform for researchers, practitioners and educators to present and discuss the most recent innovations,
trends, and concerns as well as practical challenges encountered and solutions adopted in the fields of Advances in Deep Learning Technologies and Applications
Call for Contributions
Prospective authors are kindly encouraged to contribute to and help shape the conference through submissions of their research abstracts, papers and e-posters.
Also, high quality research contributions describing original and unpublished results of conceptual, constructive, empirical, experimental, or
theoretical work in all areas of Advances in Deep Learning Technologies and Applications are cordially invited for presentation at the conference.
The conference solicits contributions of abstracts, papers and e-posters that address themes and topics of the conference, including figures, tables and references of
novel research materials.
Guidelines for Authors
Please ensure your submission meets the conference's strict guidelines for accepting scholarly papers.
Downloadable versions of the check list for
Full-Text Papers and
Abstract Papers.
Please refer to the
Paper Submission Guideline,
Abstract Submission Guideline and
Author Information
before submitting your paper.
Conference Proceedings
All submitted conference papers will be blind peer reviewed by three competent reviewers.
The peer-reviewed conference proceedings are indexed in the Open Science Index,
Google Scholar,
Semantic Scholar,
Zenedo,
OpenAIRE,
BASE,
WorldCAT,
Sherpa/RoMEO,
and other index databases. Impact Factor Indicators.
Special Journal Issues
ICADLTA 2021 has teamed up with the Special Journal Issue on
Advances in Deep Learning Technologies and Applications.
A number of selected high-impact full text papers will also be considered for the special journal issues.
All submitted papers will have the opportunity to be considered for this Special Journal Issue.
The paper selection will be carried out during the peer review process as well as at the conference presentation stage.
Submitted papers must not be under consideration by any other journal or publication.
The final decision for paper selection will be made based on peer review reports by the Guest Editors and the Editor-in-Chief jointly.
Selected full-text papers will be published online free of charge.
Conference Sponsor and Exhibitor Opportunities
The Conference offers the opportunity to become a conference sponsor or exhibitor.
To participate as a sponsor or exhibitor, please download and complete the
Conference Sponsorship Request Form.
Selected Papers
-
Improved Rare Species Identification Using Focal Loss Based Deep Learning Models
Chad Goldsworthy, B. Rajeswari Matam
-
Feature Analysis of Predictive Maintenance Models
Zhaoan Wang
-
Performance Analysis of Traffic Classification with Machine Learning
Htay Htay Yi, Zin May Aye
-
Facial Emotion Recognition with Convolutional Neural Network Based Architecture
Koray U. Erbas
-
Deep Learning Based 6D Pose Estimation for Bin-Picking Using 3D Point Clouds
Hesheng Wang, Haoyu Wang, Chungang Zhuang
-
A Second Look at Gesture-Based Passwords: Usability and Vulnerability to Shoulder-Surfing Attacks
Lakshmidevi Sreeramareddy, Komalpreet Kaur, Nane Pothier
-
Bayesian Deep Learning Algorithms for Classifying COVID-19 Images
I. Oloyede
-
A Context-Centric Chatbot for Cryptocurrency Using the Bidirectional Encoder Representations from Transformers Neural Networks
Qitao Xie, Qingquan Zhang, Xiaofei Zhang, Di Tian, Ruixuan Wen, Ting Zhu, Ping Yi, Xin Li
-
Malaria Parasite Detection Using Deep Learning Methods
Kaustubh Chakradeo, Michael Delves, Sofya Titarenko
-
Comparing Machine Learning Estimation of Fuel Consumption of Heavy-Duty Vehicles
Victor Bodell, Lukas Ekstrom, Somayeh Aghanavesi
-
An Application for Risk of Crime Prediction Using Machine Learning
Luis Fonseca, Filipe Cabral Pinto, Susana Sargento
-
Machine Learning Facing Behavioral Noise Problem in an Imbalanced Data Using One Side Behavioral Noise Reduction: Application to a Fraud Detection
Salma El Hajjami, Jamal Malki, Alain Bouju, Mohammed Berrada
-
Image Ranking to Assist Object Labeling for Training Detection Models
Tonislav Ivanov, Oleksii Nedashkivskyi, Denis Babeshko, Vadim Pinskiy, Matthew Putman
-
Machine Learning Development Audit Framework: Assessment and Inspection of Risk and Quality of Data, Model and Development Process
Jan Stodt, Christoph Reich
-
A Machine Learning Approach for Anomaly Detection in Environmental IoT-Driven Wastewater Purification Systems
Giovanni Cicceri, Roberta Maisano, Nathalie Morey, Salvatore Distefano
Applications of deep learning in software
Applications of deep learning in hardware
Deep learning technologies
Caption generation
Cognitive architectures
Commonsense reasoning
Episodic reasoning
Intelligent agents
Machine learning
Model-based reasoning
Narrative intelligence
Temporal reasoning
Visual reasoning
Applications
Ambient intelligence
Autonomic computing
Biomedical systems
Computer games
Image processing
Information retrieval and reuse
Intelligent tutoring systems
Language translation
Plan replay
Question-answering
Reasoning from experiences mined from text, multimedia, or human interactions
Recommender systems
Robotics
Text reuse
User modeling
Abstracts/Full-Text Paper Submission Deadline |
|
April 15, 2021 |
Notification of Acceptance/Rejection |
|
April 30, 2021 |
Final Paper (Camera Ready) Submission & Early Bird Registration Deadline |
|
October 29, 2021 |
Conference Dates |
|
November 29-30, 2021 |
Malik Yousef |
Safed Academic College, IL |
HERNANDO FERNANDEZ-CANQUE |
GLASGOW CALEDONIAN UNIVERSITY, UK |
Chee Seng Chan |
University of Portsmouth, UK |
Ahmad Lotfi |
Nottingham Trent University, UK |
Rushit Dave |
University Of Wisconsin, Eau Claire, US |
Akansha Kumar |
Texas A&M University, US |
Ceci Morales |
Carnegie Mellon University, US |
Mohammad Shekaramiz |
Utah Valley University, US |
Khaled Elbehiery |
DeVry University, US |
Pouria Karimi Shahri |
University of North Carolina at Charlotte, US |
Chung Hyun Goh |
University of Texas at Tyler, US |
Kai Zheng |
Stony Brook University, US |
Akilesh Rajavenkatanarayanan |
The University of Texas at Arlington, US |
Mahdi Imani |
George Washington University, US |
Arash Mahyari |
Florida Institute For Human and Machine Cognition, US |
Shivaram Poigai Arunachalam |
Mayo Clinic, US |
Samir Iqbal |
University of Texas Rio Grande Valley, US |
Wei Zhang |
University of Virginia, US |
Marcos Paul Gerardo Castro |
Ford Greenfield Labs, US |
Nagdev Amruthnath |
Western Michigan University, US |
Edward John Holupka |
Harvard University, US |
Omid Saber |
Texas A&M University, US |
Sergio Davalos |
University of Washington Tacoma, US |
Bryan Riley |
Ohio University, US |
Ayush Singhal |
University of Minnesota, Twin Cities, US |
Naga Usha Gayathri Lokala |
Wright State University, US |
Thuan Nguyen |
School of Management - University of Texas at Dallas, US |
Elnaz Lashgari |
California State University and Claremont Graduate University, US |
Shanshan Tuo |
xAd Inc, US |
P. S. Jagadeesh Kumar |
Harvard University, Cambridge, United States, US |
Participation Type |
Early Registration Ticket Fees |
Registration Ticket Fees |
Non-Student Oral/Poster Presenter Registration |
€ 350 |
€ 400 |
Student Oral/Poster Presenter Registration |
€ 300 |
€ 350 |
Listener Registration |
€ 250 |
€ 300 |
Additional Paper Publication |
€ 100 |
All conference materials and services will be delivered digitally to the participant with the online conference management system.
Conference registration includes the following digital materials and services:
- e-certificates [for Authors: Certificate of Attendance and Presentation; for Listeners: Certificate of Attendance; for Chairs: Certificate of Attendance and Appreciation; for Presenters: Certificate of Best Presentation (if conferred based appraisal)]
- e-program
- e-book
- e-name badge
- e-receipt
- e-presentation
Presentation Types:
-
Physical presentation is an oral conferencing presentation that is made using digital technology including embedded digital elements ( texts, tables, graphs, or videos ) for PowerPoint sharing.
-
Digital presentation is a digital conferencing presentation that is made using digital technology including embedded digital elements ( texts, tables, graphs, or videos ) for PowerPoint sharing.
Early Bird Registration
Early Bird registration is valid until 2021-10-29 23:59:59
Online Credit Card Processing
Online payment option available for author
and listener delegates.
Conference participants can make online credit card payments for conference registration fees.