On October 29-30, 2024, the international conference “The 3rd ICONNSMAL 2024” took place, focusing on neural networks and machine learning. The event was held in a hybrid format—online via Zoom and offline in the auditorium on the 4th floor of the CDAST Building at the University of Jember. The conference featured seven prominent speakers from various countries, including:

• Prof. Drs. Slamin, M.Comp.Sc., Ph.D. from the University of Jember, Indonesia
• Dr. Dushyant Tanna from Central Queensland University, Australia
• Prof. Drs. Dafik, M.Sc., Ph.D. from the University of Jember, Indonesia
• Dr. R. Sunder, M.Tech., Ph.D. from Galgotias University, India
• Prof. Ir. Aduwati Sali from Universiti Putra Malaysia, Malaysia
• Associate Prof. Dr. G. Nagamani from The Gandhigram Rural Institute, India
• Associate Prof. Dr. Khairul Anam from the University of Jember, Indonesia

The event began with an opening address by Prof. Dafik, Chair of PUI-PT Combinatorics and Graph. In his speech, he highlighted the importance of collaboration in neural networks and machine learning research and expressed hope for the growth of collaborative research between institutions. The next address was delivered by Dr. Dushyant Tanna, who expressed gratitude for the invitation and hoped to establish future research collaborations between Central Queensland University, Australia, and the University of Jember.

The presentation sessions began with Prof. Slamin discussing "The Combination of Graph Theory and Machine Learning." He explained the application of graph theory to enhance machine learning algorithms and its impact on various research sectors. The second speaker, Dr. Dushyant Tanna, delivered a presentation on “Reflection on The Role of Gamification in Mathematics,” where he explained how gamification could enhance understanding and interest in mathematics through interactive approaches.

Next, Prof. Dafik presented on “Graph Neural Networks: Spatio-Temporal Time Series Forecasting on Precision Farming using Local Antimagic Coloring.” He outlined the use of graph neural networks in precision agriculture predictions through local coloring techniques. Dr. Sunder, the fourth speaker, presented on “Attention-Guided Multiscale 3D CNN with Uncertainty Estimation,” discussing three-dimensional convolutional neural networks with attention guidance to improve uncertainty estimation in data processing. The fifth speaker, Prof. Ir. Aduwati Sali, who discussed “NET-PEAT: Machine Learning (ML) Formulation to Predict Drought Code (DC) for Fire Danger Rating System (FRDS).” She explained how machine learning can be used to predict drought levels, supporting fire danger assessment systems.

The sixth speaker, Associate Prof. Dr. G. Nagamani, presented on “Synchronization of Discrete-Time Neural Networks,” covering methods to enhance synchronization in discrete-time neural networks, which helps improve the performance and accuracy of neural network applications. The seventh speaker, Associate Prof. Dr. Khairul Anam, presented on “Leveraging Artificial Neural Networks to Enhance Assistive Wheelchair Technology.” He described how artificial neural networks can improve assistive wheelchair technology, aiming to provide more responsive mobility for users with special needs.

This conference concluded with a group photo session, followed by a parallel session where presenters shared and discussed their research within smaller discussion groups.

This conference also available in youtube with this link: The 3rd ICONNSMAL 2024 Day 1 and The 3rd ICONNSMAL Day 2