IEEE

Network Intrusion Detection for Modern Smart Grids Based on Adaptive Online Incremental Learning

Abstract: New and evolving cyber attacks against smart grids are emerging. This necessitates that the network intrusion detection systems (IDSs) have online learning ability. However, most existing ...
IEEE

Deep Learning-Based Vulnerability Detection Solutions in Smart Contracts: A Comparative and Meta-Analysis of Existing Approaches

Abstract: In the short history of smart contracts, substantial losses have occurred due to unaccounted vulnerabilities in the smart contracts loaded onto the blockchain. Vulnerabilities in smart ...
CNET

Nest's New Smart Thermostat Adds Artist-Designed Seasonal Animations

For more than 10 years Tyler has used his experience in smart home tech to craft how-to guides, explainers, and recommendations for technology of all kinds. From using his home in beautiful Bend, OR ...
Voice of Alexandria

Motus Expands Protect Suite with Road Smart: Mobile-First Driver Safety Training That Reduces Risk and Costs While Boosting Productivity

Motus, the leader in vehicle reimbursement, risk mitigation and productivity solutions for companies whose employees drive their own vehicles for work, today announced the expansion of its Motus ...
The Nation Newspaper

Schools get smart boards to aid interactive learning

Federal Government has distributed over 1,000 Interactive Smart Boards, with accompanying teacher training, under the Digitalisation of Public Schools Initiative, a partnership between Universal Basic ...
Hosted on MSN

Tracking your EV, solar, and energy use with machine learning - Sense smart home interview

In this interview with Mike Phillips, CEO of Sense, learn how machine learning is utilized to track electric vehicle (EV) usage, solar energy, and overall energy consumption. Discover how this ...