2 papers
cs.CV2026
Multitasking Embedding for Embryo Blastocyst Grading Prediction (MEmEBG)
Nahid Khoshk Angabini, Mohsen Tajgardan, Mahesh Madhavan +3
Reliable evaluation of blastocyst quality is critical for the success of in vitro fertilization (IVF) treatments. Current embryo grading practices primarily rely on visual assessme…
cs.LG2026
An Efficient Unsupervised Federated Learning Approach for Anomaly Detection in Heterogeneous IoT Networks
Mohsen Tajgardan, Atena Shiranzaei, Mahdi Rabbani +2
Federated learning (FL) is an effective paradigm for distributed environments such as the Internet of Things (IoT), where data from diverse devices with varying functionalities rem…