Results 211 to 220 of about 323,060 (316)

Test-Time Training Scaling Laws for Chemical Exploration in Drug Design. [PDF]

J Chem Inf Model
Thomas M, Bou A, De Fabritiis G.
europepmc   +1 more source

Multiobjective Environmental Cleanup with Autonomous Surface Vehicle Fleets Using Multitask Multiagent Deep Reinforcement Learning

Advanced Intelligent Systems, EarlyView.
This study presents a multitask strategy for plastic cleanup with autonomous surface vehicles, combining exploration and cleaning phases. A two‐headed Deep Q‐Network shared by all agents is traineded via multiobjective reinforcement learning, producing a Pareto front of trade‐offs.
Dame Seck, Samuel Yanes, Manuel Perales, Daniel Gutiérrez, Sergio Toral   +4 more
wiley   +1 more source

Accuracy of Budget Impact Projections in Bulgarian Health Technology Assessment: A Five-Year Validation Study (2020-2025). [PDF]

Healthcare (Basel)
Kostadinov K, Raycheva R, Zdravkova-Aneva I, Shopova M, Ovchinnikov E, Petkov P.   +5 more
europepmc   +1 more source

Individual Heterogeneity, Nonlinear Budget Sets, and Taxable Income

, 2014
Sören Blomquist, Anil Kumar, Che-Yuan Liang, Whitney K. Newey   +3 more
openalex   +1 more source

A Robotic Urinary Bladder Enabling Volume Monitoring and Assisted Micturition

Advanced Intelligent Systems, EarlyView.
An implantable robotic bladder is presented that can store urine in an origami‐designed enclosure. An inductance sensing principle can monitor and transfer the urine volume in real‐time. It can actively expand based on the amount of urine collected from kidneys and apply on‐demand mechanical compression to assist urination.
Izadyar Tamadon, Michele Ibrahimi, Federica Semproni, Veronica Iacovacci, Arianna Menciassi   +4 more
wiley   +1 more source

Review of Memristors for In‐Memory Computing and Spiking Neural Networks

Advanced Intelligent Systems, EarlyView.
Memristors uniquely enable energy‐efficient, brain‐inspired computing by acting as both memory and synaptic elements. This review highlights their physical mechanisms, integration in crossbar arrays, and role in spiking neural networks. Key challenges, including variability, relaxation, and stochastic switching, are discussed, alongside emerging ...
Mostafa Shooshtari, Teresa Serrano‐Gotarredona, Bernabé Linares‐Barranco   +2 more
wiley   +1 more source

Balancing innovation and affordability in relapsing-remitting multiple sclerosis: a budget impact analysis from Saudi Arabia. [PDF]

Front Public Health
Al-Jedai A, Almudaiheem H, Al-Suweidan F, Jumah MA, Al-Thobaiti A, Alzureiqan F, Abu Ras W, Al-Dosari FM, Malik YA, Dhopte P, Ojeil R.   +10 more
europepmc   +1 more source

QS4D: Quantization‐Aware Training for Efficient Hardware Deployment of Structured State‐Space Sequential Models

Advanced Intelligent Systems, EarlyView.
Quantization‐aware training creates resource‐efficient structured state space sequential S4(D) models for ultra‐long sequence processing in edge AI hardware. Including quantization during training leads to efficiency gains compared to pure post‐training quantization.
Sebastian Siegel, Ming‐Jay Yang, Younes Bouhadjar, Maxime Fabre, Emre Neftci, John Paul Strachan   +5 more
wiley   +1 more source

Starting Up Clinical Trials in Emergency Medicine: Advice and Acronyms for New Investigators. [PDF]

J Am Coll Emerg Physicians Open
Southerland LT, Chu CB, Wang HE, Frey J, Hill M, Nassal MM, Bischof JJ.   +6 more
europepmc   +1 more source

De Gustibus Est Disputandum: The role of agricultural and applied economists in an era of behavior change initiatives and endogenous preferences

American Journal of Agricultural Economics, EarlyView.
Abstract Popular society increasingly questions preferences that drive many resource allocations and production decisions, with many groups actively seeking to alter those preferences to achieve changes to resource use. Agricultural and applied economists, who are already equipped with excellent technical skills to undertake consumer preference and ...
Brian E. Roe
wiley   +1 more source