Open Science Research Excellence

ICAINN 2023 : International Conference on Artificial Intelligence and Neural Networks

Rome, Italy
February 18 - 19, 2023

Conference Code: 23IT02ICAINN

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

ICAINN 2023 has teamed up with the Special Journal Issue on Artificial Intelligence and Neural Networks. 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.

Important Dates

Abstracts/Full-Text Paper Submission Deadline   February 13, 2022
Notification of Acceptance/Rejection   February 27, 2022
Final Paper (Camera Ready) Submission & Early Bird Registration Deadline   January 18, 2023
Conference Dates   February 18 - 19, 2023

Important Notes

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 GUIDE before submitting your paper.

Selected Conference Papers

1) Predicting the Success of Bank Telemarketing Using Artificial Neural Network
Mokrane Selma
2) Lung Cancer Detection and Multi Level Classification Using Discrete Wavelet Transform Approach
V. Veeraprathap, G. S. Harish, G. Narendra Kumar
3) Convergence Analysis of Training Two-Hidden-Layer Partially Over-Parameterized ReLU Networks via Gradient Descent
Zhifeng Kong
4) Normal and Peaberry Coffee Beans Classification from Green Coffee Bean Images Using Convolutional Neural Networks and Support Vector Machine
Hira Lal Gope, Hidekazu Fukai
5) The Application of a Neural Network in the Reworking of Accu-Chek to Wrist Bands to Monitor Blood Glucose in the Human Body
J. K Adedeji, O. H Olowomofe, C. O Alo, S.T Ijatuyi
6) An IM-COH Algorithm Neural Network Optimization with Cuckoo Search Algorithm for Time Series Samples
Wullapa Wongsinlatam
7) Vision Based People Tracking System
Boukerch Haroun, Luo Qing Sheng, Li Hua Shi, Boukraa Sebti
8) Performance Evaluation of Distributed Deep Learning Frameworks in Cloud Environment
Shuen-Tai Wang, Fang-An Kuo, Chau-Yi Chou, Yu-Bin Fang
9) Optimizing the Probabilistic Neural Network Training Algorithm for Multi-Class Identification
Abdelhadi Lotfi, Abdelkader Benyettou
10) Foot Recognition Using Deep Learning for Knee Rehabilitation
Rakkrit Duangsoithong, Jermphiphut Jaruenpunyasak, Alba Garcia
11) Online Pose Estimation and Tracking Approach with Siamese Region Proposal Network
Cheng Fang, Lingwei Quan, Cunyue Lu
12) Recent Trends on Security Constrained Economic Dispatch: A Bibliographic Review
Shewit Tsegaye, Fekadu Shewarega
13) Maximization of Lifetime for Wireless Sensor Networks Based on Energy Efficient Clustering Algorithm
Frodouard Minani
14) Fast Adjustable Threshold for Uniform Neural Network Quantization
Alexander Goncharenko, Andrey Denisov, Sergey Alyamkin, Evgeny Terentev
15) A Bacterial Foraging Optimization Algorithm Applied to the Synthesis of Polyacrylamide Hydrogels
Florin Leon, Silvia Curteanu

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