Global Intelligence Database
A systematic review of 47 studies spanning nearly two decades analyses the toxic composition of wildfire smoke. It highlights the disproportionate burden on vulnerable groups while exposing a significant lack of data on the effects of repeated, seasonal exposure.
By Hossain, Talukder
Researchers have developed a novel cybersecurity framework that combines Federated Learning with bio-inspired algorithms to thwart Distributed Denial of Service (DDoS) attacks. By mimicking the behaviour of bacteria and frilled lizards to optimise deep learning models, the system achieves high detection accuracy while preserving data privacy.
By Maghrabi, Ragab, Alghamdi, Alorfi, Hamed, Alharbi, Al-Ghamdi
Researchers have developed PCGA, a hybrid AI model combining optimization algorithms with deep learning to forecast water tables in Iran. This composite system significantly outperforms existing benchmarks by reducing error rates and accurately mapping long-term hydrological trends.
By Banadkooki, Ghanbari-Adivi, Sayyahi, Ehteram
Marine foundation species like seagrasses and seaweeds are vital but threatened by rising ocean temperatures. Researchers compiled a comprehensive database of their upper thermal limits, revealing critical ranges and data gaps crucial for predicting vulnerability and guiding future conservation efforts.
By Smith, King, Aubin, Leathers, Smale