Adaptation Models News Today

researchers in the uk say blood that has been grown in a laboratory has been put into people, in a world—first clinical trial. it could help scientists manufacture rare blood groups. hello and welcome if youre watching in the uk or around the world. world leaders are addressing the cop27 summit in egypt today, as they try to rally global support for tackling climate change. talks this year will focus on three things. first — the implementation of whats known as the paris agreement....

Recent studies have demonstrated that backdoor attacks can cause a significant security threat to federated learning. Existing defense methods mainly focus on detecting or eliminating the backdoor patterns after the model is backdoored. However, these methods either cause model performance degradation or heavily rely on impractical assumptions, such as labeled clean data, which exhibit limited effectiveness in federated learning. To this end, we propose FLPurifier, a novel backdoor defense metho...

Besides producing hydrogen from surplus renewables, electrolyzers can also provide grid ancillary services like enhancing the stability, resilience, and robustness of the power grid. The paper presents a novel electrical circuit model for a proton exchange membrane electrolyzer (PEMEL) that has been validated using experimental data from a 400W electrolyzer. To demonstrate its adaptive capability, the proposed 400W electrical model is scaled up to a 1 MW stack, and this system is validated by co...

Cross-domain person re-identification (Re-ID) is a challenging and important task in monitoring safety and procedure compliance of industrial work places. In this paper, a novel method is proposed to reduce background induced domain shift for adaptive person Re-ID. Specifically, a foreground-background joint clustering module is proposed to extract discriminative foreground and background features and an attention-based feature disentanglement module is designed to reduce the interference of bac...

A text semantic classification is an essential approach to recognising the verbal intention of online learners, empowering reliable understanding and inquiry for the regulations of knowledge construction amongst students. However, online learning is increasingly switching from static watching patterns to the collaborative discussion. The current deep learning models, such as CNN and RNN, are ineffective in classifying verbal content contextually. Moreover, the contribution of verbal elements to ...

Edge intelligence is an emerging technology that integrates edge computing and deep learning to bring AI to the network’s edge. It has gained wide attention for its lower network latency and better privacy preservation abilities. However, the inference of deep neural networks is computationally demanding and results in poor real-time performance, making it challenging for resource-constrained edge devices. In this paper, we propose a hierarchical deep learning model based on TreeNet to reduce ...

Person re-identification (Re-ID) has achieved great success in the supervised scenario. However, it is difficult to directly transfer the supervised model to arbitrary unseen domains due to the model overfitting to the seen source domains. In this paper, we aim to tackle the generalizable multi-source person Re-ID task (i.e., there are multiple available source domains, and the testing domain is unseen during training) from the data augmentation perspective, thus we put forward a novel method, t...

As the percentage of renewable energy sources grows, excess electrical power from renewables can be converted using electrolyzers to produce hydrogen, which can be stored, and later utilized by industries, homes, or the transportation system. Further, electrolyzers can also be utilized for frequency and voltage control to improve the stability of the power system. In this paper, a novel electrical circuit model for a 400W PEM electrolyzer is designed and validated using the experimental data fro...

Wire and arc additive manufacturing(WAAM) is a promising method for directly manufacturing parts with complex shapes. However, the accuracy of the existing welding parameter planning methods would dramatically decrease when bead geometry changes dynamically due to the long-term dependence, strong coupling, and hysteresis properties of the WAAM process. To this end, a non-autoregressive(NAR) dynamic model is proposed to predict the bead geometry, and an adaptive model predictive control(aMPC) met...

In this article, an advanced nonlinear control scheme is proposed for a three-phase grid-connected inverter and a solar photovoltaic (PV) system connected dc–dc converter. The proposed control scheme is based on a nonlinear adaptive integral backstepping approach. The robustness of the proposed control scheme is achieved through maintaining stability of the overall system, extacting maximum power from the solar PV, and controlling active power. Moreover, the injection of less harmonic componen...