Results 21 to 30 of about 3,626 (230)

Interpretation of RNA Universe and Coding Potential Using IntRNA

Advanced Science, EarlyView.
This study constructs a multi‐channel deep learning framework IntRNA to interpret RNA universe and coding potential. IntRNA consistently performed the best among existing methods in various benchmarks. Moreover, IntRNA’s interpretability is also validated by real‐world analysis, which found some features indicating long‐distance contact between ...
Yunxia Wang, Minjie Mou, Shijie Huang, Wei Zhang, Ziqi Pan, Jing Tang, Yihao Wang, Qingxia Yang, Feng Zhu   +8 more
wiley   +1 more source

Reed-Solomon Hybrid Codes for Optical Communications

Journal of Engineering and Sustainable Development, 2013
The astonishing performance of concatenated codes attracted many researchers and this has resulted in an explosive amount of literature since their introduction few years ago.
Awatif Ali Jafaar
doaj  

SpaBalance: Balanced Learning for Efficient Spatial Multi‐Omics Decoding

Advanced Science, EarlyView.
SpaBalance is a computational framework that harmonizes multi‐omics learning via gradient equilibrium and dual‐stream feature decomposition, achieving superior clustering accuracy, biological interpretability, and scalable integration of three or more spatial omics modalities.
Yingbo Cui, Yong Zhao, Canqun Yang, Tao Tang, Xiangke Liao, Hongyu Zhang, Huiying Zhao, Zheng Wang, Yuansong Zeng   +8 more
wiley   +1 more source

Iterative Decoding of Serial Concatenated Convolutionally Encoded Signals over Frequency Selective Fading Channels

Journal of Engineering and Sustainable Development, 2007
Serial concatenated convolutional coding with iterative decoding is examined for data transmission employing BFSK (binary frequency shift keying) modulation and non-coherent detection receiver.
Maha George Zia
doaj  

Widened Attention‐Enhanced Atrous Convolutional Network for Efficient Embedded Vision Applications under Resource Constraints

Advanced Intelligent Systems, EarlyView.
The article introduces WACEfNet, a new convolutional neural network architecture optimized for efficient aerial image analysis under resource constraints. It creatively integrates attention mechanisms and atrous convolutions into a compact widened residual network framework.
Md Meftahul Ferdaus, Mahdi Abdelguerfi, Kendall N. Niles, Ken Pathak, Joe Tom   +4 more
wiley   +1 more source

Some Extended Results on the Design of Punctured Serially Concatenated Convolutional Codes

Journal of Communications Software and Systems, 2006
The aim of this paper is twofold. On one hand, it presents the results of the search for good punctured systematicrecursive convolutional encoders suitable for application in serially concatenated convolutional codes (SCCCs) operating in two different ...
Massimiliano Laddomada, Bartolo Scanavino   +1 more
doaj  

Small but Strong: Lightweight Architecture Improves Lung Nodule Detection and Segmentation

Advanced Intelligent Systems, EarlyView.
(a) Separated network architecture, where the lung nodule detection and segmentation networks are separated. (b) Separated head architecture, where an anchor‐based head is responsible for detection and another head for segmentation. (c) The study's architecture, containing a lightweight backbone network based on deformable Transformer for feature ...
Lilu Liu, Xiuping Nie, Haojian Lu, Jian Hu, Qi Dou, Rong Xiong, Yue Wang   +6 more
wiley   +1 more source

Analysis and Comparison of Some Recent Classes of Turbo Like Codes for the Upcoming DVB Standards

Journal of Communications Software and Systems, 2008
In this paper, a number of powerful recent classes of turbo like codes are analyzed as possible candidates for theupcoming DVB Standards. The final selection is justified in terms of the best tradeoff between complexity and performance.
Alexandre Graell, Guido Montorsi, Francesca Vatta   +2 more
doaj  

Liveness‐Verified Dynamic Time Warping‐Based Authentication and Hybrid Adaptive Neuro‐Fuzzy Inference System Identification for Single‐Channel Diaphragmatic Breathing Surface Electromyography Biometrics

Advanced Intelligent Systems, EarlyView.
The first biometric framework to harness dynamic time warping (DTW) for single‐channel diaphragmatic surface electromyography authentication via post‐hoc alignment is presented. By optimally warping deep–normal–deep breath cycles, DTW achieves perfect genuine–impostor separation (equal error rates = 0%), while a parallel adaptive neuro‐fuzzy inference ...
Beyza Eraslan, Kutlucan Gorur, Feyzullah Temurtas   +2 more
wiley   +1 more source

Optical Neuromorphic Technology Catalyzes the Next‐Generation Mobile Communication Technology

Advanced Intelligent Systems, EarlyView.
Advancements in optical computing could revolutionize next‐generation wireless communication. The review highlights the role of photonic integrated circuits in implementing neural network operations and discusses their benefits, such as high computational density.
Xiaoxiong Song, Ziling Fu, Jiajia Wang, Dapeng Wang, Nan Li, Zhenping Hu, Xingyuan Xu   +6 more
wiley   +1 more source