Results 61 to 70 of about 4,702 (258)
Osseoperceptive EMG Feedback Improves Grasp Force Control in Myoelectric Prosthetic Hands
Advanced Science, EarlyView.Osseoperception is explored as a non‐invasive pathway for delivering sensory feedback in myoelectric prosthetic control. By encoding the user's electromyographic (EMG) signal through bone‐conducted stimulation, this approach enables predictive grasp force regulation.
Cristian Felipe Blanco‐Diaz +2 more
wiley +1 more source
MAG-D: A multivariate attention network based approach for cloud workload forecasting. [PDF]
Future Gener Comput Syst, 2023 Patel YS, Bedi J.
europepmc +1 more source
Probabilistic Computing via Gate‐Tunable Random Telegraph Noise
Advanced Science, EarlyView.Intrinsic random telegraph noise in metal–oxide–semiconductor field‐effect transistors is harnessed to create gate‐tunable probabilistic bits. By modulating carrier‐trapping dynamics, the device produces stochastic binary outputs with a continuous bias‐to‐probability transfer.
Gyungwon Yun +8 more
wiley +1 more source
Deep Bi-Directional LSTM Networks for Device Workload Forecasting [PDF]
Annals of computer science and information systems, 2020 Dymitr Ruta, Ling Cen, Quang Hieu Vu
doaj +1 more source
Workload forecasting for a call center: Methodology and a case study
The Annals of Applied Statistics, 2009 Today's call center managers face multiple operational decision-making tasks. One of the most common is determining the weekly staffing levels to ensure customer satisfaction and meeting their needs while minimizing service costs. An initial step for producing the weekly schedule is forecasting the future system loads which involves predicting both ...
Aldor-Noiman, Sivan +2 more
openaire +4 more sources
Advanced Science, EarlyView.Energy‐harvesting‐integrated sensors couple ambient energy conversion with sensing, processing, and wireless communication. This review organizes recent progress through integration architectures and operating principles, revisiting co‐packaged, monolithic, and co‐functional designs together with always‐on, event‐driven, and multi‐modal sensing modes ...
Taehyun Park +5 more
wiley +1 more source
Emerging Memory and Device Technologies for Hardware‐Accelerated Model Training and Inference
Advanced Electronic Materials, EarlyView.This review investigates the suitability of various emerging memory technologies as compute‐in‐memory hardware for artificial intelligence (AI) applications. Distinct requirements for training‐ and inference‐centric computing are discussed, spanning device physics, materials, and system integration.
Yoonho Cho +6 more
wiley +1 more source
MachinesPredicting workload for tasks in manufacturing is a complex challenge due to the numerous variables involved. In small- and medium-sized enterprises (SMEs), this process is often experience-based, leading to inaccurate predictions that significantly ...
Valentina De Simone +4 more
doaj +1 more source
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 +9 more
wiley +1 more source
Assessing Mental Workload in Dual STEM–Air Force Language Listening Practice
AerospaceCognitive workload analysis is an important aspect of safety studies at the Spanish Air Force Academy where students must complete a dual academic curriculum based on military pilot training combined with an industrial engineering degree.
José Luis Roca-González +2 more
doaj +1 more source