Smart irrigation platform pairs water quality checks with LSTM forecasts in Tunisian olive orchard
An integrated AIoT platform deployed in a Tunisian olive orchard combines real-time fuzzy-based water quality assessment with LSTM forecasting of ...
An integrated AIoT platform deployed in a Tunisian olive orchard combines real-time fuzzy-based water quality assessment with LSTM forecasting of ...
A systematic review of 76 studies finds that digital technologies in dementia-friendly environments show stage- and context-dependent benefits, with strong ...
A pilot-scale digital twin framework in Dhaka combined IoT sensors, machine learning forecasting, RO and UVC purification and automated billing ...
Researchers in South Africa combined deep learning, causal discovery and explainability to predict temperature breaks in apple cold rooms before ...
Researchers in Kazakhstan have developed a two-stage deep learning method that forecasts the solar spectrum itself and uses it to ...
A new systematic review of 114 studies maps digital technologies to sixteen public space characteristics across creation, maintenance and review ...
A comprehensive new review maps how machine learning, deep learning, and generative AI are transforming water quality monitoring while exposing ...
A stage-weighted, persistence-adjusted risk index integrating low-cost microclimate sensing with structured visual severity scoring completed a 73-day proof-of-concept pilot for ...
Researchers in Cairo have developed a hybrid CNN–BiLSTM deep learning model fed by IoT sensor data that forecasts urban traffic ...
Researchers in China have built a deep reinforcement learning system that analyzes biomechanical sensor data from martial artists and delivers ...
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© 2025 Scienmag - Science Magazine