Results 71 to 80 of about 12,652 (226)

Neuromorphic Near‐Sensor and In‐Sensor Computing Enabled by Next‐Generation Material‐Based Sensors

open access: yesAdvanced Science, EarlyView.
This Review presents a structural framework that classifies neuromorphic sensing into near‐sensor and in‐sensor architectures, clarifying physical coupling between sensing and computation. The framework connects neural and synaptic device functions with recent advances in optical, mechanical, and chemical sensing, compares energy consumption and ...
Su Yeon Jung   +7 more
wiley   +1 more source

Full‐Stack Architectures for Intelligent Brain‐Computer Interfaces

open access: yesAdvanced Science, EarlyView.
System‐level overview of brain–computer interfaces (BCIs), illustrating the integration of neural signal acquisition, wireless transmission, and adaptive decoding. Advanced electrode, tissue interfaces, energy‐efficient communication, and robust algorithms collectively enable stable signal quality, real‐time processing, and closed‐loop operation ...
Hee Kyu Lee   +9 more
wiley   +1 more source

Detection Schemes With Low-Resolution ADCs and Spatial Oversampling for Transmission With Higher-Order Constellations in Terahertz Band

open access: yesIEEE Access
In this work, we consider Terahertz (THz) communications with low-resolution uniform quantization and spatial oversampling at the receiver side, corresponding to a single-input multiple-output (SIMO) transmission.
Christian Forsch   +4 more
doaj   +1 more source

Performance Analysis of Protograph LDPC Codes Over Large-Scale MIMO Channels With Low-Resolution ADCs

open access: yesIEEE Access, 2019
Protograph LDPC (P-LDPC) codes and large-scale multiple-input multiple-output (LS-MIMO) are cornerstones of 5G and future wireless systems, thanks to their powerful error-correcting capability and high spectral efficiency.
Thuy V. Nguyen   +3 more
doaj   +1 more source

A Foundation Model Based CT Biomarker for Non‐Invasive Prediction of Response to Neoadjuvant Immunochemotherapy in Non‐Small Cell Lung Cancer

open access: yesAdvanced Science, EarlyView.
This study introduces a foundation model‐based biomarker for risk stratification of pathological response in non‐small cell lung cancer. A Vision Mamba super‐resolution model standardizes heterogeneous CT images. A multi‐task Swin Transformer then fine‐tunes a pre‐trained lung foundation model to jointly optimize tumor segmentation and response ...
Yanglan Xu   +10 more
wiley   +1 more source

A 2.1 GS/s 2-Channel Pipeline-SAR ADC With Speed-Enhanced Bootstrap Switch and Low-Latency SAR Logic

open access: yesIEEE Access
This paper introduces a 12-bit 2-channel interleaved Pipelined Successive Approximation Register (Pipelined-SAR) Analog-to-Digital Converter (ADC) capable of operating at 2.1 GS/s.
Tao Fu   +3 more
doaj   +1 more source

Input Usage, Ouput Mix and Industry Deregulation: An Analysis of the Australian Dairy Manufacturing Industry [PDF]

open access: yes
In this paper we estimate a Translog output distance function for a balanced panel of state level data for the Australian dairy processing sector. We estimate a fixed effects specification employing Bayesian methods, with and without the imposition of ...
Hristos Doucouliagos   +2 more
core  

A High ENOB 14-Bit ADC without Calibration

open access: yes
This paper presents an implementation of a 14-bit 2.5 MS/s differential Successive-Approximation-Register (SAR) analog-to-digital converter (ADC) to be used for sensing multiple analog input signals.
Fotis Plessas   +2 more
core   +1 more source

Joint Power-control and Antenna Selection in User-Centric Cell-Free Systems with Mixed Resolution ADC

open access: yes, 2022
In this paper, we propose a scheme for the joint optimization of the user transmit power and the antenna selection at the access points (AP)s of a user-centric cell-free massive multiple-input-multiple-output (UC CF-mMIMO) system.
Shekhar, Shashank   +7 more
core   +1 more source

Emerging Memory and Device Technologies for Hardware‐Accelerated Model Training and Inference

open access: yesAdvanced 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

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