Application of Federal Kalman Filter with Neural Networks in the Velocity and Attitude Matching of Transfer Alignment

The centralized Kalman filter is always applied in the velocity and attitude matching of Transfer Alignment (TA).But the centralized Kalman has many disadvantages, such as large amount of calculation, poor real-time performance, and low reliability.In the Curling - Gloves paper, the federal Kalman filter (FKF) based on neural networks is used in th

read more

Hybrid Malware Classification Method Using Segmentation-Based Fractal Texture Analysis and Deep Convolution Neural Network Features

As the number of internet users increases so does the number of malicious attacks using malware.The detection Glitter Coffee Mug of malicious code is becoming critical, and the existing approaches need to be improved.Here, we propose a feature fusion method to combine the features extracted from pre-trained AlexNet and Inception-v3 deep neural netw

read more

Bispecific Antibodies and Other Non-CAR Targeted Therapies and HSCT: Decreased Toxicity for Better Transplant Outcome in Paediatric ALL?

This review will address the place of innovative, non-chemotherapy, non-CAR-T targeted therapies in the treatment of Acute Lymphoblastic Leukaemia (ALL), focusing on their use in the hematopoietic stem cell transplant (HSCT) context.The focus will be on the agent with the most experience to date, namely the bispecific T-cell engater (BiTE) blinatum

read more