Resource-optimized cnns for real-time rice disease detection with ARM cortex-M microprocessors
This study explores the application of Artificial Intelligence (AI), specifically Convolutional Neural Networks (CNNs), for detecting rice plant diseases using ARM Cortex-M microprocessors.
Hermawan Nugroho +3 more
doaj +1 more source
Targeting muscarinic receptors for treating schizophrenia. [PDF]
Paul SM, Yohn SE.
europepmc +1 more source
PhysioKey: Edge-AI-Driven Physiological Key Agreement for Secure Body Area Networks. [PDF]
Alnemari M, Al-Omair OM.
europepmc +1 more source
Beyond dopamine blockade: mechanistic humility and the rise of muscarinic, TAAR1, and glutamatergic pathways in schizophrenia. [PDF]
Taj F.
europepmc +1 more source
DISC1 mutant macaques capture behavioral and neural hallmarks of psychiatric disease. [PDF]
Zhou W +22 more
europepmc +1 more source
TinyML in Industrial IoT: A Systematic Review of Applications, System Components, and Methodologies. [PDF]
Alharthi S, Rashid M, Aljabri M.
europepmc +1 more source
Machine Learning Enhanced Quantum-Safe Encryption: A Novel Optimisation Framework. [PDF]
Ahmad R +3 more
europepmc +1 more source
Impact of virtual threads and garbage collection on energy efficiency of Java applications for battery powered IoT devices. [PDF]
Shanjai Kumar S +4 more
europepmc +1 more source
KAN-Former: a lightweight ECG model for real-time atrial fibrillation detection on wearable devices. [PDF]
Wang K, Wang G, Wu Z.
europepmc +1 more source
Semantic processing and individual suggestibility modulate motor preparation and perceived distance for looming sounds entering the peripersonal space. [PDF]
Barumerli R, Geronazzo M, Cesari P.
europepmc +1 more source

