The paper titled “A Deep Learning-Enhanced Multi-Modal Sensing Platform for Robust Human Object Detection and Tracking in Challenging Environments” from IFT has been published in the journal Electronics. This publication is part of the Special Issue Multimodal Data Fusion and Computational Optimization for Intelligent Perception and is readily accessible online. The paper represents a significant contribution to the field, addressing challenges in human object detection and tracking, particularly in complex environments. Researchers and readers interested in this subject matter can now access and benefit from the insights presented in the paper. Click on the links below to learn more. Website: https://www.mdpi.com/2079-9292/12/16/3423 PDF Version: https://www.mdpi.com/2079-9292/12/16/3423/pdf Special Issue: https://www.mdpi.com/journal/electronics/special_issues/Multimodal_Data_Fusion_Computational_Optimization_Intelligent_Perception