Xender+ Cuts IoT Time Series Traffic by Reusing Historical Models Instead of Retraining
A new framework called Xender+ matches incoming sampled data segments to a cloud-side library of pre-trained models, avoiding costly online ...
A new framework called Xender+ matches incoming sampled data segments to a cloud-side library of pre-trained models, avoiding costly online ...
A single-reviewer systematic review traces how AI, IoT, digital twins and data analytics have been linked to energy and emissions ...
A simulation study reports that an Adaptive Tunicate Swarm Optimized Random Forest achieved higher power generation forecasting accuracy than LGBM ...
A new review finds machine learning outperforms traditional linear models in predicting poultry nutrient requirements, with big data enabling precise, ...
A new comprehensive review maps how 3D printing, embedded sensors and artificial intelligence are turning implants, wearables, prosthetics and orthotics ...
A systematic scoping review of 50 studies finds that academic IoT and LoRa/LoRaWAN research for mine safety is concentrated at ...
Researchers report an IoT-and-deep-learning framework that captured nearly 3,000 music recordings and achieved 94% accuracy in recognising traditional music patterns ...
Researchers have developed FireMID, a firefly-inspired framework that combines feature selection and oversampling to improve DDoS attack detection on imbalanced ...
A rapid review of 18 peer-reviewed studies finds that digital technologies reshape identity, autonomy and the search for meaning, with ...
A new review maps how low-cost energy harvesting technologies could replace batteries in smart sensing and Internet of Things devices.
© 2025 Scienmag - Science Magazine
© 2025 Scienmag - Science Magazine