An RSA-based (t, n) Threshold Proxy Signature Scheme with Freewill Identities

Reinforcement learning is based on reward hypothesis A reward r t is a scalar feedback signal. ◦ Indicates how well agent is doing at

Improve macro-average F-measure: 0.333 → 0.511 Five-fold cross validation for better thresholds Threshold T j = average of five thresholds. Tuning threshold significantly

Unlike the case of optimizing the micro-average F-measure, where cyclic optimization does not help, here the exact match ratio is slightly improved for most data sets.. 5.5

In this thesis, we have proposed a new and simple feedforward sampling time offset (STO) estimation scheme for an OFDM-based IEEE 802.11a WLAN that uses an interpolator to recover

Furthermore, based on the temperature calculation in the proposed 3D block-level thermal model and the final region, an iterative approach is proposed to reduce

A decision scheme based on OWA operator for an evaluation programme: an approximate reasoning approach. A decision scheme based on OWA operator for an evaluation programme:

The GCA scheduling algorithm employs task prioritizing technique based on CA algorithm and introduces a new processor selection scheme by considering heterogeneous communication

Abstract: This paper presents a meta-heuristic, which is based on the Threshold Accepting combined with modified Nearest Neighbor and Exchange procedures, to solve the Vehicle