Results 81 to 90 of about 1,866,673 (365)

Interface Topology Driven Loss Minimization in Integrated Photonics: THz Ultrahigh‐Q Cavities and Waveguides

Advanced Materials, EarlyView.
Compact, robust, and ultralow‐loss on‐chip photonic devices are essential for densely integrated photonic chips. Here, the underlying radiation mechanism in topological valley edge states is unveiled and a new methodology of interface topology driven bandgap and wavevector engineering is proposed to thoroughly suppress their radiation losses, thereby ...
Zhonglei Shen, Yi Ji Tan, Wenhao Wang, Thomas Caiwei Tan, Ruqiang Yan, Liuyang Zhang, Ranjan Singh   +6 more
wiley   +1 more source

Heterojunction‐Driven Stochasticity: Bi‐Heterojunction Noise‐Enhanced Negative Transconductance Transistor in Image Generation

Advanced Materials, EarlyView.
This work engineered a bi‐heterojunction noise‐enhanced negative transconductance (BHN‐NTC) transistor using a half‐PTCDI‐C13 layer, achieving expanded and tunable noise characteristics. This advancement enables efficient multi‐bit TRNGs for AI‐driven image generation and enhances logic circuit applications.
Youngmin Han, Ryun‐Han Koo, Jaechan Song, Chang‐Hyun Kim, Eun Kwang Lee, Wonjun Shin, Hocheon Yoo   +6 more
wiley   +1 more source

Zero-Delay Rate Distortion via Filtering for Vector-Valued Gaussian Sources

, 2018
We deal with zero-delay source coding of a vector-valued Gauss-Markov source subject to a mean-squared error (MSE) fidelity criterion characterized by the operational zero-delay vector-valued Gaussian rate distortion function (RDF).
Charalambous, Charalambos D., Ostergaard, Jan, Stavrou, Photios A.   +2 more
core   +1 more source

Thermionics in Topological Materials

Advanced Materials, EarlyView.
Thermionics is one of the fundamental energy conversion mechanisms in solid state systems. Recent development in topological materials opens new avenues in developing thermionic systems and devices. Due to the linear energy dispersion and topological protection of charge transport, these new materials are promising candidates for high efficiency ...
Sunchao Huang, Zihao Zhang, Youfeng Yang, Yuan Zheng, Abdullah Al‐Mamun, Shaomeng Wang, Zhi Li, Yubin Gong, Chao Zhang   +8 more
wiley   +1 more source

Improving learning vector quantization using data reduction

IJAIN (International Journal of Advances in Intelligent Informatics), 2019
Learning Vector Quantization (LVQ) is a supervised learning algorithm commonly used for statistical classification and pattern recognition. The competitive layer in LVQ studies the input vectors and classifies them into the correct classes. The amount of
Pande Nyoman Ariyuda Semadi, Reza Pulungan   +1 more
doaj   +1 more source

AI‐Driven Defect Engineering for Advanced Thermoelectric Materials

Advanced Materials, EarlyView.
This review presents how AI accelerates the design of defect‐tuned thermoelectric materials. By integrating machine learning with high‐throughput data and physics‐informed representations, it enables efficient prediction of thermoelectric performance from complex defect landscapes.
Chu‐Liang Fu, Mouyang Cheng, Nguyen Tuan Hung, Eunbi Rha, Zhantao Chen, Ryotaro Okabe, Denisse Córdova Carrizales, Manasi Mandal, Yongqiang Cheng, Mingda Li   +9 more
wiley   +1 more source

Text-Independent Speaker Verification Based on Information Theoretic Learning [PDF]

Mehran University Research Journal of Engineering and Technology, 2011
In this paper VQ (Vector Quantization) based on information theoretic learning is investigated for the task of text-independent speaker verification. A novel VQ method based on the IT (Information Theoretic) principles is used for the task of speaker ...
Sheeraz Memon, Tariq Jameel Saifullah Khanzada, Sania Bhatti   +2 more
doaj  

Variable dimension weighted universal vector quantization and noiseless coding [PDF]

, 1994
A new algorithm for variable dimension weighted universal coding is introduced. Combining the multi-codebook system of weighted universal vector quantization (WUVQ), the partitioning technique of variable dimension vector quantization, and the optimal ...
Chou, P. A., Effros, M., Gray, R. M.
core  

Spin‐Polarized Antiferromagnets for Spintronics

Advanced Materials, EarlyView.
This review highlights recent advances in anomalous and spin transport phenomena in spin‐polarized antiferromagnets. Key effects—including the anomalous Hall, Nernst, and magneto‐optical effects—are discussed across various antiferromagnetic platforms.
Zhenzhou Guo, Xiaotian Wang, Wenhong Wang, Gang Zhang, Xiaodong Zhou, Zhenxiang Cheng   +5 more
wiley   +1 more source

Enhancing Speech Recognition Using Improved Particle Swarm Optimization Based Hidden Markov Model

The Scientific World Journal, 2014
Enhancing speech recognition is the primary intention of this work. In this paper a novel speech recognition method based on vector quantization and improved particle swarm optimization (IPSO) is suggested. The suggested methodology contains four stages,
Lokesh Selvaraj, Balakrishnan Ganesan
doaj   +1 more source