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https://cis.temple.edu/~apal/nfmi_comnet.pdf
An im-portant tradeoff in this context is the datarate (or power consumption) vs amount of energy transfer to the devices. This is because higher data transfer results in high power consumption, but ensures higher energy transfer to the devices.
https://cis.temple.edu/~wu/teaching/Spring%202013/handoff.pdf
So when the MS moves from one BS to another BS, it becomes im-possible for it to communicate with both BSs (since different frequencies are used). Figure 1.1 illustrates hard handoff between the MS and the BSs.
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https://cis.temple.edu/~latecki/Papers/ICIP2019.pdf
Finally, an upsam-pling unit is employed to match the resolution of input im-age. Benefiting from pyramid architecture, APN can capture multi-scale context cues, and produce pixel-level attention for convolutional features.
https://cis.temple.edu/~apal/ipic_food.pdf
t‘ ij 8‘2f2;:::;Tg;8t X t Lt‘:Vt C 8‘2f2;:::;Tg (8) where Vtis the volume of the container type t. Constraint(8) simply assumes that multiple containers of different sizes always fit within a truck as far as their cumulative volume is less than the truck’s capacity. This is an over-estimation of the packing ability of the containers.
https://cis.temple.edu/~jiewu/research/publications/Publication_files/jiang_www_2020.pdf
The comparison on acc_pre (see Tables 4, 5) displays our im-provements on preference accuracy, where DESR increases acc_pre by at least 33.33% even compared to the accuracy-oriented method (ACC LSTM).
https://cis.temple.edu/~wu/research/publications/Publication_files/Joint%20Dynamic%20Grouping%20and%20Gradient%20Coding%20for%20Time-critical%20Distributed%20Machine%20Learning%20in%20Heterogeneous%20Edge%20Networks-FINAL-VERSION.pdf
carded while small gradients are retained, the model convergence slows down and the model accuracy is im-paired seriously. As the enhancement of gradient sparsi y, more large and valid gradients are abandoned during the distributed training, resulting in a large-scale accuracy loss. In Fig. 8(c), the LeNet5 network we utilize is a optimiza-t