Results 81 to 90 of about 93,727,230 (258)

Integration of Reconfigurable p‐Bit and 1R Crossbar Array for Memristive Probabilistic Computing

Advanced Science, EarlyView.
A memristive probabilistic computing system is demonstrated by integrating stochastic p‐bits based on volatile memristors with a 1R crossbar array encoding interaction weights. The system performs weighted‐sum operations across the array and updates p‐bits iteratively.
Keunho Soh, Ji Eun Kim, Suk Yeop Chun, Su In Hwang, Byung Seok Kim, Young Jae Lee, Ho Won Jang, Jung Ho Yoon   +7 more
wiley   +1 more source

Nonuniform in Time Input-to-State Stability and the Small-Gain Theorem

, 2004
—For time-varying control systems various equiva-lent characterizations of the nonuniform in time input-to-state stability (ISS) property are established.
Tsinias, J, Karafyllis, I, Iasson Karafyllis, J. Tsinias   +3 more
core   +1 more source

NbOx Mott Memristor‐Based Oscillatory P‐trit for Ternary Potts Machine

Advanced Science, EarlyView.
A ternary Potts machine utilizing NbOx‐based probabilistic trits (p‐trits) is demonstrated for efficient combinatorial optimization. By leveraging the electro‐thermal switching dynamics of NbOx memristors, this architecture generates three‐state stochastic fluctuations.
Hakseung Rhee, Seoeun Jang, Tae Wook Go, Woojoon Park, Gwangmin Kim, Do Hoon Kim, Hanchan Song, Younghyun Lee, Junmo Kang, Daehee Kim, Kyung Min Kim   +10 more
wiley   +1 more source

Terahertz‐Nanoscale Visualization of the Microscopic Spin‐Charge Architecture of Colossal Magnetoresistive Switching

Advanced Science, EarlyView.
This study employs cryogenic magneto‐terahertz nanoscopy to reveal the real‐space electrodynamics of the colossal magnetoresistance transition. By capturing the terahertz electrodynamic evolution of field‐driven spin switching, the work unveils the dissipative dynamics of emergent metallic states, providing a high‐frequency view of coupled spin‐charge ...
Samuel Haeuser, Randall K. Chan, Richard H. J. Kim, Joong‐Mok Park, Martin Mootz, Thomas Koschny, Jigang Wang   +6 more
wiley   +1 more source

Mathematically Grounded Neuro-Fuzzy Control of IoT-Enabled Irrigation Systems

Mathematics
This paper develops a mathematically grounded neuro-fuzzy control framework for IoT-enabled irrigation systems in precision agriculture. A discrete-time, physically motivated model of soil moisture is formulated to capture the nonlinear water dynamics ...
Nikolay Hinov, Reni Kabakchieva, Daniela Gotseva, Plamen Stanchev   +3 more
doaj   +1 more source

Separation Principles for Input-Output and Integral-Input-to-State Stability

, 2004
We present new characterizations of input-output-to-state stability. This is a notion of detectability formulated in the ISS (input-to-state stability) framework.
E. D. Sontag, B. Ingalls, D. Angeli, Y. Wang   +3 more
core  

Mepce Restrains Ferroptosis in Prostate Cancer Through 7SK–P‐TEFb Pause Control

Advanced Science, EarlyView.
Genome‐wide CRISPR screening identifies MEPCE as a pause‐control regulator that restrains ferroptosis in prostate cancer. MEPCE loss releases P‐TEFb/CDK9 from 7SK snRNP control, enhances RNAPII Ser2 phosphorylation, and accelerates NRF2‐HMOX1‐driven labile iron accumulation and lipid peroxidation, revealing a transcriptional kinetic gate that lowers ...
Tongtong Zhang, Xiangyang Zhan, Jiexiang Zhang, Mingyue Tan, Chuanmin Chu, Guanqun Ju, Xinyu Zhai, Jianyi Gu, Huirong Zhu, Dongliang Xu   +9 more
wiley   +1 more source

Adaptive Virtual Inertia and Voltage Estimation: Enabled Model Predictive Control for Improved Performance in Islanded DC Microgrids

IEEE Access
The low inertia of voltage estimation degrades system performance in islanded DC microgrids (DC MGs). To mitigate this issue, we propose an Adaptive Virtual Inertia and Voltage Estimation with Model Predictive Control (AVIE-MPC) approach, which enhances ...
Salisu Abdullahi, Khaled Eltag, Lei Weining, Chen Xiaohu   +3 more
doaj   +1 more source

SemanticST: A Scalable Multi‐Contextual Graph Learning Framework for Uncovering Spatial Niches and Robust Multi‐Sample Integration in Spatial Transcriptomics

Advanced Science, EarlyView.
Technical limitations often let dominant signals overshadow rare cell types and fine‐grained heterogeneity in spatial transcriptomics. SemanticST, a graph neural network using multi‐semantic graph fusion and a novel min‐cut loss, recovers these subtle patterns.
Roxana Zahedi, Ahmadreza Argha, Nona Farbehi, Ivan Bakhshayeshi, Thantrira Porntaveetus, Youqiong Ye, Nigel H. Lovell, Hamid Alinejad‐Rokny   +7 more
wiley   +1 more source

Transformation of CLF to ISS-CLF for Nonlinear Systems with Disturbance and Construction of Nonlinear Robust Controller with L2 Gain Performance

Journal of Control Science and Engineering, 2014
A new nonlinear control law for a class of nonlinear systems with disturbance is proposed. A control law is designed by transforming control Lyapunov function (CLF) to input-to-state stability control Lyapunov function (ISS-CLF).
Keizo Okano, Kojiro Hagino, Hidetoshi Oya   +2 more
doaj   +1 more source