Results 191 to 200 of about 298,825 (343)

Quantized neural representation for lossy cryo-EM compression. [PDF]

Bioinformatics
Duan X, Shao Y, Meng Z, Xu Z, Han J, Tu C, Wang Y, Han R, Zeng Q.   +8 more
europepmc   +1 more source

Controllable Superconductivity in Suspended NbSe2

Advanced Electronic Materials, EarlyView.
Suspended NbSe2${\rm NbSe}_2$ provides two complementary routes for controlling superconducting transport. Gate‐driven deformation strains the suspended crystal and tunes its critical temperature and current. Weak thermal anchoring enhances thermal feedback, contributing to multistep hysteresis and negative differential resistance.
Ruihuan Fang, Cuiju Yu, Youqiang Huang, Tosson Elalaily, Yuvraj Chaudhry, Yaoqiang Zhou, Andres Castellanos‐Gomez, Sanshui Xiao, Jiwon Park, Hyunyong Choi, Fida Ali, Hanlin Fang, Jose L. Lado, Pertti Hakonen, Zhipei Sun   +14 more
wiley   +1 more source

Sequential split vector quantization of LSF parameters using conditional PDF

, 2007
A better performing product code vector quantization (VQ) method is proposed for coding the line spectrum frequency (LSF) parameters; the method is referred to as sequential split vector quantization (SeSVQ).
Chatterjee, Saikat, Sreenivas, TV
core  

From Top to Bottom: Manufacturing Process‐Context Aware Resolution of Energy Device Electrodes Through a 3D Diffusion Generative Model

Advanced Energy Materials, EarlyView.
The application of a generative diffusion model, enhanced with a training data augmentation pipeline retaining the manufacturing process context of electrode microstructures, leads to improved fidelity of the through‐plane tortuosity factor in the AI generated samples.
Victor Ramirez‐Camacho, Siwar Ben Hadj Ali, Maxence Desnoyers, Francisco Fernandez, Nassima Benammar, Alejandro A. Franco   +5 more
wiley   +1 more source

A TinyMLOps Pipeline for Coarse-Grained Plant Disease Classification in Precision Agriculture. [PDF]

Sensors (Basel)
Aqasizade H, Antonini M, Vecchio M, Antonelli F.   +3 more
europepmc   +1 more source

Second quantization

Scholarpedia, 2010
openaire   +2 more sources

Landau quantization in monolayer GaAs

, 2017
Landau quantization in monolayer GaAs1 HSIEN-CHING CHUNG2, National Kaohsiung Normal University, CHING-HONG HO, CHENG-PENG CHANG, Tainan University of Technology, CHUN-NAN CHEN, Tamkang University, CHIH-WEI CHIU, National Kaohsiung Normal University ...
Chung, Hsien-Ching;Ho, Ching-Hong;Chang, Cheng-Peng;Chen, Chun-Nan;Chiu, Chih-Wei;Lin, Ming-Fa
core  

Toward Capacitive In‐Memory‐Computing: A Device to Systems Level Perspective on the Future of Artificial Intelligence Hardware

Advanced Intelligent Discovery, EarlyView.
Capacitive, charge‐domain compute‐in‐memory (CIM) stores weights as capacitance,eliminating DC sneak paths and IR‐drop, yielding near‐zero standbypower. In this perspective, we present a device to systems level performance analysis of most promising architectures and predict apathway for upscaling capacitive CIM for sustainable edge computing ...
Kapil Bhardwaj, Ella Paasio, Sayani Majumdar   +2 more
wiley   +1 more source

Quantized vs. Full-Precision YOLO Models on Edge Devices: A Performance Benchmark for Real-Time License Plate Detection in Smart Parking Systems. [PDF]

Sensors (Basel)
Burkus E, Lestyán B, Dénes-Fazakas L, Eigner G.   +3 more
europepmc   +1 more source

Advancing Efficient Error Reduction in DNA Data Storage Systems with Deep Learning‐Based Denoising Models

Advanced Intelligent Discovery, EarlyView.
Deep learning‐based denoising models are applied to DNA data storage systems to enhance error reduction and data fidelity. By integrating DnCNN with DNA sequence encoding methods, the study demonstrates significant improvements in image quality and correction of substitution errors, revealing a promising path toward robust and efficient DNA‐based ...
Seongjun Seo, Anshula Tandon, Nguyen Kim Uyen, Quoc Nam Le, Jee‐Hyong Lee, Sung Ha Park   +5 more
wiley   +1 more source