Results 101 to 110 of about 185,372 (245)

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

open access: yesAdvanced 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   +5 more
wiley   +1 more source

ControlIt: A Universal Framework for Translational, Adaptive, and Online Brain–Computer Interfaces

open access: yesAdvanced Intelligent Systems, EarlyView.
Brain–computer interfaces (BCIs) lack a unified platform that works across signals and algorithms. ControlIt, an open‐source, modular ROS2‐based BCI framework supporting electroencephalography (EEG), electrocorticography (ECoG), and spike‐based decoding across both classification and regression tasks is presented.
Wanlin Yang   +12 more
wiley   +1 more source

TacEva: A Performance Evaluation Framework for Vision‐Based Tactile Sensors

open access: yesAdvanced Intelligent Systems, EarlyView.
This work introduces TacEva, a unified framework for evaluating vision‐based tactile sensors. It standardizes intrinsic, performance, and robustness metrics through shared experimental procedures and links them to task‐level requirements in robotic manipulation.
Qingzheng Cong   +5 more
wiley   +1 more source

GRAPHENE-BASED THZ TUNABLE BANDSTOP FILTER WITH CONSTANT ABSOLUTE BANDWIDTH

open access: yesProgress In Electromagnetics Research Letters, 2017
Mengdan Kong   +4 more
openaire   +1 more source

Discovery and Initial Investigation of a New Low Surface Brightness Planetary Nebula Candidate at High Galactic Latitude

open access: yesAstronomische Nachrichten, EarlyView.
ABSTRACT Planetary nebulae represent a late evolutionary phase of low‐ to intermediate‐mass stars. In this article, we present the serendipitous discovery of a previously unknown, faint potential Galactic planetary nebula (PN) in the constellation Camelopardalis, identified during a survey‐inspection, aiming at the detection of dwarf companions of the ...
W. E. Celnik   +12 more
wiley   +1 more source

Development of Raman Spectroscopy and Machine Learning Methods for Protein Aggregate Quantification: Application to BSA in Chromatographic Processes

open access: yesBiotechnology and Bioengineering, EarlyView.
ABSTRACT Protein aggregation poses a significant risk to biopharmaceutical product quality, as even minor amounts of oligomeric species can compromise efficacy and safety. Rapid and reliable detection of protein aggregates thus remains a major challenge in biopharmaceutical manufacturing.
Jakob Heyer‐Müller   +4 more
wiley   +1 more source

Advances in Triboelectric Nanogenerators With Rotating Structure

open access: yesCarbon Energy, EarlyView.
The rotating TENG has been widely studied for its superiorities of simple structure, high efficiency, and stable output. This review introduced the four different principles of rotating TENG and offered a thorough summary for performance and application research through three‐level classification. Importantly, the current existing problems, challenges,
Chuguo Zhang   +4 more
wiley   +1 more source

Anisotropy Factor Spectra for Weakly Allowed Electronic Transitions in Chiral Ketones

open access: yesChemPhysChem, Volume 26, Issue 6, March 15, 2025.
Anisotropy factor spectra for the weak n→π*‐type A‐band of chiral ketones cannot be described within the Franck–Condon approximation. Thus, we present such spectra computed by accounting for Herzberg–Teller corrections and compare them to experiments for fenchone, camphor and 3MCP to describe chiroptical properties of these molecules in the mid to near
Leon A. Kerber   +5 more
wiley   +1 more source

Ultrabroadband 1D and 2D NMR Spectroscopy. [PDF]

open access: yesAngew Chem Int Ed Engl
Woordes YT   +11 more
europepmc   +1 more source

Probability prediction of true‐triaxial compressive strength of intact rocks based on the improved PSO‐RVM model

open access: yesDeep Underground Science and Engineering, EarlyView.
In this work, we propose an improved particle swarm optimization (PSO) algorithm and develop an improved PSO‐relevance vector machine (RVM) model as a substitute for traditional true‐triaxial testing. The model's high prediction accuracy was validated through comparisons with two other machine learning methods and five three‐dimensional Hoek–Brown type
Qi Zhang   +4 more
wiley   +1 more source

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