Results 191 to 200 of about 1,531 (279)
Machine learning provides a unifying framework to connect structure, fluorescence properties, and applications of carbon‐based quantum dots. This review highlights how data‐driven strategies enable fluorescence regulation, reveal underlying mechanisms, and accelerate the rational design of functional carbon dots.
Liangfeng Chen +8 more
wiley +1 more source
Machine-Learning-Enabled Hydrogel Biosensors for Wearable Health Monitoring. [PDF]
Zhang Z.
europepmc +1 more source
ABSTRACT Pacific salmon face substantial challenges when migrating through anthropogenically modified river systems, such as the Sacramento‐San Joaquin River Delta (the Delta). Non‐physical behavioral barriers, such as the bioacoustic fish fence (BAFF), are one potential solution for guiding fish away from hazards without obstructing water flow ...
Maggie Raboin +2 more
wiley +1 more source
Off-Grid Sparse Bayesian Learning for Channel Estimation and Localization in RIS-Assisted MIMO-OFDM Under NLoS. [PDF]
Mutlu U, Kabalci Y.
europepmc +1 more source
ABSTRACT The assessment of energy efficiency in water facilities is receiving increasing attention as a key strategy in the transition toward an energy‐neutral urban water cycle. This study evaluates the energy efficiency of 146 drinking water treatment plants (DWTPs) in Chile by applying a latent class stochastic frontier analysis (LCSFA) to account ...
Alexandros Maziotis +1 more
wiley +1 more source
Energy-efficient wireless sensor network for urban groundwater level monitoring using machine learning and sink mobility. [PDF]
Manchanda R +8 more
europepmc +1 more source
ABSTRACT The FAO's “blue transformation” roadmap necessitates a fundamental shift towards precision aquaculture to meet global food security targets while minimizing environmental footprints. This review provides a comprehensive overview of how artificial intelligence (AI) and decision support systems (DSS) serve as pivotal enablers for the “better ...
Mustafa Öz, Enes Üstüner
wiley +1 more source
Compressive sensing techniques based on secure data aggregation in WSNs. [PDF]
Madkour ME +5 more
europepmc +1 more source
ABSTRACT Climate‐smart agriculture (CSA) is widely promoted to enhance resilience and productivity among smallholder farmers, yet its diffusion remains uneven due to structural barriers and heterogeneous adoption contexts. Existing forecasting tools, such as the Adoption and Diffusion Outcome Prediction Tool (ADOPT), estimate adoption trajectories but ...
Denis Momanyi +6 more
wiley +1 more source
A novel Hadamard matrix based hybrid compressive sensing technique for enhancing energy efficiency and network longevity. [PDF]
S B, M K, Palanisamy S, Alshalali TAN.
europepmc +1 more source

