Results 211 to 220 of about 19,844,675 (340)

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

The moment of youth: learning from youth-led research on sexual and reproductive health and rights (SRHR) in Malawian and Zambian settings. [PDF]

Res Involv Engagem
Kakal T, van Tuijl C, Mikwala K, Junior JZ.   +3 more
europepmc   +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

Budget Impact Analysis of Botulinum Toxin Type A for Patients with Severe Blepharospasm in Thailand. [PDF]

Clinicoecon Outcomes Res
Hirunwiwatkul P, Permsuwan U, Ngamkiatphaisan S, Chirapapaisan N, Sriratanaban J.   +4 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

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

Physical Reservoir Computing for Smart Manufacturing of PCB Using Crystallinity‐Controlled HfO2 Memristor for Reservoir

Advanced Intelligent Systems, EarlyView.
We address multilayer PCB anomaly detection for smart manufacturing by physical reservoir computing with HfO2‐based memristors. Crystallinity‐tuned HfO2 suppresses ferroelectricity while preserving the high‐k insulating state and confers strong short‐term memory.
Yongho Lee, Wonhee Lee, Junho Shin, Noah Jang, Hyunjun Kim, Kim Da Ye, Jinkyung Kim, June Soo Kim   +7 more
wiley   +1 more source

MCS Assisted Accurate Perception Framework for Urban POI Classification. [PDF]

Sensors (Basel)
Feng X, Yang Y, Zhang X, Guo D, Yang G.
europepmc   +1 more source

Ultralow‐Power Real‐Time On‐Chip Thermal Prediction via Finite Element Method–Machine Learning Codesign and Field‐Programmable Gate Array Deployment

Advanced Intelligent Systems, EarlyView.
A lightweight machine learning (ML)‐based thermal prediction framework is demonstrated and implemented on a field‐programmable gate array (FPGA). Using measured temperature data from a real chiplet, the approach enables real‐time, die‐level heat‐map inference with low power consumption, validating practical on‐chip thermal monitoring for advanced ...
Jun Ho Lee, Jae Gyu Kim, Sung Jin Kim, Jae Yong Song, Byoung Don Kong   +4 more
wiley   +1 more source

Establishing an independent HTA agency in Ukraine: a conceptual framework for governance, operations, and long-term sustainability. [PDF]

Int J Technol Assess Health Care
Sucu R, Erku D, Filiniuk O, Kohler R.
europepmc   +1 more source