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Chip design with machine learning: A survey from an algorithm perspective

Chip design with machine learning: A survey from an algorithm perspective
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Science China Information Sciences , Science China , Neural Networks Nns , Science China Press , Design Result Estimation , Design Optimization , Design Construction , Static Timing Analysis , Space Exploration , Gaussian Process , Multivariate Adaptive Regression Splines , Decision Tree , Random Forest , Neural Networks , Ensemble Learning , Bayesian Optimization ,

"An ensemble framework for detection of DNS-Over-HTTPS (DOH) traffic" by Akarsh Aggarwal and Manoj Kumar

Domain Name System (DNS) is a fundamental protocol and backbone of the internet that translates domain names to Internet Protocol (IP) addresses. Initially, it was only meant for mapping domain names, however, currently it is used to transfer data over the internet in the form of plain text. This attracts attackers to perform cyberattacks such as DNS spoofing, DNS amplification, and cache poisoning etc. Various solutions were proposed to protect DNS protocol from such attacks such as using DNS load balancers, OpenDNS by Cisco, DNSFilters etc. However, despite these security measures, the attackers can still easily modify the data packets over the network leading to security and privacy concerns. DNS-Over-HTTPS (DOH) is recently introduced protocol with encrypted DNS that defends against issues related to security and eavesdropping largely. However, some challenges are associated with it that need to be addressed for its proper functioning. In this work, an approach is presented to auto ....

Name System , Internet Protocol , Ns Encryption , Dns Over Https , Ensemble Learning , Machine Learning ,

Bacancy Reveals Five Key Approaches to Developing Advanced Machine Learning Models

Bacancy Reveals Five Key Approaches to Developing Advanced Machine Learning Models
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United States , Chandresh Patel , Bacancy Technology , Generative Adversarial Networks Gans Fusion , Machine Learning , Key Approaches Introduced , Ensemble Learning , Adversarial Networks , Learning Amplification , Transfer Learning , Neural Architectures , Explainable Neural Architectures , Data Sampling Strategies , Dynamic Data Sampling ,

Bacancy Reveals Five Key Approached to Developing Advanced Machine Learning Models

Bacancy Reveals Five Key Approached to Developing Advanced Machine Learning Models
pressreleasepoint.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from pressreleasepoint.com Daily Mail and Mail on Sunday newspapers.

United States , Chandresh Patel , Bacancy Technology , Generative Adversarial Networks Gans Fusion , Machine Learning , Key Approaches Introduced , Ensemble Learning , Adversarial Networks , Learning Amplification , Transfer Learning , Neural Architectures , Explainable Neural Architectures , Data Sampling Strategies , Dynamic Data Sampling ,

"Automatic classification of distal radius fracture using a two-stage e" by Hang Min, Yousef Rabi et al.

Distal radius fractures (DRFs) are one of the most common types of wrist fracture and can be subdivided into intra- and extra-articular fractures. Compared with extra-articular DRFs which spare the joint surface, intra-articular DRFs extend to the articular surface and can be more difficult to treat. Identification of articular involvement can provide valuable information about the characteristics of fracture patterns. In this study, a two-stage ensemble deep learning framework was proposed to differentiate intra- and extra-articular DRFs automatically on posteroanterior (PA) view wrist X-rays. The framework firstly detects the distal radius region of interest (ROI) using an ensemble model of YOLOv5 networks, which imitates the clinicians’ search pattern of zooming in on relevant regions to assess abnormalities. Secondly, an ensemble model of EfficientNet-B3 networks classifies the fractures in the detected ROIs into intra- and extra-articular. The framework achieved an area under th ....

Deep Learning , Distal Radius Fracture , Ensemble Learning , X Ray ,