Results 51 to 60 of about 31,167 (257)

An Algorithm Board in Neural Decoding

CoRR
Understanding the mechanisms of neural encoding and decoding has always been a highly interesting research topic in fields such as neuroscience and cognitive intelligence. In prior studies, some researchers identified a symmetry in neural data decoded by unsupervised methods in motor scenarios and constructed a cognitive learning system based on this ...
Jingyi Feng, Kai Yang
openaire   +2 more sources

Mixed‐Metal Promotion in a Manganese‐Molybdenum Oxynitride as Catalyst to Integrate C─C and C─N Coupling Reactions for the Direct Synthesis of Acetonitrile from Syngas and Ammonia

Advanced Materials, EarlyView.
Transition metal oxy/carbo‐nitrides show great promise as catalysts for sustainable processes. A Mn‐Mo mixed‐metal oxynitride attains remarkable performance for the direct synthesis of acetonitrile, an important commodity chemical, via sequential C─N and C─C coupling from syngas (C1) and ammonia (N1) feedstocks.
M. Elena Martínez‐Monje, Wilson Henao, Tania Rodenas, Patricia Concepción, Virginia Pérez Dieste, Alexander Missyul, Giovanni Agostini, Gonzalo Prieto   +7 more
wiley   +1 more source

CRC-aided Multiple Traceback Decoding Algorithm of Spinal Code [PDF]

Jisuanji gongcheng, 2017
In order to improve the decoding efficiency of Spinal code,the beam search and Cyclic Redundancy Check(CRC)decoding are considered as a whole for joint decoding,a CRC-aided multiple traceback decoding algorithm is proposed.The correct decoding route is ...
QU Xiaoxu,YANG Liming,MIAO Quanqiang
doaj   +1 more source

LEAD: Literature Enhanced Ab Initio Discovery of Nitride Dusting Layers for Enhanced Tunnel Magnetoresistance and Lower Resistance Magnetic Tunnel Junctions

Advanced Materials, EarlyView.
Magnetic tunnel junctions (MTJs) using MgO tunnel barriers face challenges of high resistance‐area product and low tunnel magnetoresistance (TMR). To discover alternative materials, Literature Enhanced Ab initio Discovery (LEAD) is developed. The LEAD‐predicted materials are theoretically evaluated, showing that MTJs with dusting of ScN or TiN on ...
Sabiq Islam, William S. Rogers, Chen‐Yu Hu, Ming‐Yuan Song, Xinyu Bao, Shehrin Sayed, Jean Anne C. Incorvia   +6 more
wiley   +1 more source

Neuromorphic Electronics for Intelligence Everywhere: Emerging Devices, Flexible Platforms, and Scalable System Architectures

Advanced Materials, EarlyView.
The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj, Roshni Satheesh Babu, Yuxin Xia, Eva Bestelink, Radu Sporea, Nikos Hastas, Ioannis Zeimpekis, Dimitra G. Georgiadou, Sayani Majumdar   +8 more
wiley   +1 more source

Modified Joint Source–Channel Trellises for Transmitting JPEG Images over Wireless Networks

Applied Sciences
This paper presents a joint source–channel image transmission model based on a modified trellis construction using variable-length and fixed-length codes.
Yin-Chen Lin, Jyun-Jie Wang, Sheng-Chih Yang, Chi-Chun Chen   +3 more
doaj   +1 more source

Low Complexity Approach for High Throughput Belief-Propagation based Decoding of LDPC Codes

Advances in Electrical and Computer Engineering, 2013
The paper proposes a low complexity belief propagation (BP) based decoding algorithm for LDPC codes. In spite of the iterative nature of the decoding process, the proposed algorithm provides both reduced complexity and increased BER performances as ...
BOT, A., BORDA, M., BELEAN, B., NEDEVSCHI, S.   +3 more
doaj   +1 more source

A Fully-Parallel Turbo Decoding Algorithm [PDF]

IEEE Transactions on Communications, 2015
This paper proposes a novel alternative to the Logarithmic Bahl-Cocke-Jelinek-Raviv (Log-BCJR) algorithm for turbo decoding, yielding significantly improved processing throughput and latency. While the Log-BCJR processes turbo-encoded bits in a serial forwards-backwards manner, the proposed algorithm operates in a fully-parallel manner, processing all ...
openaire   +3 more sources

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

Advanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena, J. Terence Blaskovits, Kun‐Han Lin, Denis Andrienko   +3 more
wiley   +1 more source

Algorithms for Majority Decoding of Group Codes

Моделирование и анализ информационных систем, 2015
We consider a problem of constructive description and justification of the algorithms necessary for a practical implementation of the majority decoder for group codes specified as left ideals of groupalgebras.
V. M. Deundyak, Y. V. Kosolapov
doaj   +1 more source