Results 141 to 150 of about 26,939 (224)

People Counting and Positioning Using Low‐Resolution Infrared Images for FeFET‐Based In‐Memory Computing

Advanced Electronic Materials, EarlyView.
In this work, low‐resolution infrared imaging is combined with a 28 nm FeFET IMC architecture to enable compact, energy‐efficient edge inference. MLC FeFET devices are experimentally characterized, and controlled multi‐level current accumulation is validated at crossbar array level.
Alptekin Vardar, Li Zhang, Alexander Rehmer, Marc Lupp, Subhashree Baskaran, Osama Abdelaal, Franz Müller, Nandakishor Yadav, Bing Li, Thomas Kämpfe   +9 more
wiley   +1 more source

Hybrid Physics-Informed and Bayesian Modeling of Single-Nanoparticle-Cell Adhesion Kinetics under Cytoskeletal Perturbation. [PDF]

Comput Struct Biotechnol J
Bettahar H, Santos HA, Zhou Q.
europepmc   +1 more source

On the Role of Preprocessing and Memristor Dynamics in Reservoir Computing for Image Classification

Advanced Electronic Materials, EarlyView.
ABSTRACT Reservoir computing (RC) is an emerging recurrent neural network architecture that has attracted growing attention for its low training cost and modest hardware requirements. Memristor‐based circuits are particularly promising for RC, as their intrinsic dynamics can reduce network size and parameter overhead in tasks such as time‐series ...
Rishona Daniels, Duna Wattad, Ronny Ronen, David Saad, Shahar Kvatinsky   +4 more
wiley   +1 more source

Phase-Specific Parameter Estimation in Chiral HPLC Using 1-Site, 2-Site Stochastic Models, and Unified Equation Approach. [PDF]

Anal Chem
Mirzahosseini A, Mhammad A, Dombi G, Balogh B, Sepsey A, Pálla T, Horváth S, Tóth E, Szabó ZI, Németh G, Felinger A, Trapp O, Tóth G.   +12 more
europepmc   +1 more source

Machine Learning Interatomic Potentials for Energy Materials: Architectures, Training Strategies, and Applications

Advanced Energy Materials, EarlyView.
Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park, Saeed Pourasad, Jinhong Mun, Arunkumar Chitteth Rajan, Tae Hyeon Park, Anand Rohit, Mohammad Zafari, Tan‐Lien Pham, Eunjae Jung, Bonseung Koo, Miran Ha, Gi Beom Sim, Hyun Gyu Park, Won Woong Choi, Kwanghyeon Jo, Soohaeng Yoo Willow, David ChangMo Yang, Chang Woo Myung, Geunsik Lee, Kwang S. Kim   +19 more
wiley   +1 more source

Inference for Stationary Log-Gaussian Cox Point Processes using Bayesian Deep Learning: Application to Human Oral Microbiome Image Data. [PDF]

Spat Stat
Wang S, Wikle CK, Micheas AC, Welch JLM, Starr JR, Lee KH.   +5 more
europepmc   +1 more source

Ban Glyphosate—Does It Affect the Swedish Farmers' Willingness to Grow Cover Crops?

Applied Economic Perspectives and Policy, EarlyView.
ABSTRACT The cultivation of cover crops is one of the new Eco‐scheme practices introduced in Sweden. This study examines how the design of policy attributes of these schemes influences farmers' willingness to grow cover crops on arable land, with particular focus on the potential impact of a glyphosate ban.
Vivian Wei Huang, Anna Kristina Edenbrandt, Elin Röös   +2 more
wiley   +1 more source

Coalescence and translation: A language model for population genetics. [PDF]

Proc Natl Acad Sci U S A
Korfmann K, Pope NS, Meleghy M, Tellier A, Kern AD.   +4 more
europepmc   +1 more source

Animal‐Based Brands Taking the Plant‐Based Opportunity: A Tasting Experiment Exploring Consumer Acceptance of Plant‐Based Brand Extensions

Agribusiness, EarlyView.
ABSTRACT This study investigates how consumer taste and brand equity perceptions shape the acceptance of plant‐based milk products. Using a blind/informed tasting experiment, we evaluated consumers' willingness to buy (WTB) and taste perception of a plant‐based milk alternative produced by a traditional dairy brand, compared with competing plant‐based ...
Federico Parmiggiani, Mirta Casati, Elena Castellari, Fosca Vezzulli, Veronica Vitali, Milena Lambri, Claudio Soregaroli   +6 more
wiley   +1 more source

Normalizing flow based neural processes for Alzheimer's disease progression prediction. [PDF]

PLoS One
Al-Anbari E, Karshenas H, Shoushtarian B.   +2 more
europepmc   +1 more source