Results 141 to 150 of about 22,252,197 (309)

Neural Network Adaptive Control With Long Short‐Term Memory

International Journal of Adaptive Control and Signal Processing, EarlyView.
ABSTRACT In this study, we propose a novel adaptive control architecture that provides dramatically better transient response performance compared to conventional adaptive control methods. This is accomplished by the synergistic employment of a traditional adaptive neural network (ANN) controller and a long short‐term memory (LSTM) network.
Emirhan Inanc, Abdullah Habboush, Yigit Gurses, Yildiray Yildiz, Anuradha M. Annaswamy   +4 more
wiley   +1 more source

Data Compression in the NEXT-100 Data Acquisition System. [PDF]

Sensors (Basel), 2022
Esteve Bosch R, Rodríguez Ponce J, Simón Estévez A, Benlloch Rodríguez JM, Herrero Bosch V, Toledo Alarcón JF.   +5 more
europepmc   +1 more source

PREDICTIONS OF CONSTANT PRESSURE AND CONSTANT RATE F1LTRATIONS BASED UPON AN APPROXIMATE CORRECTION FOR SIDE WALL FRICTION IN COMPRESSION PERMEABILITY CELL DATA

, 1968
Mompei Shirato, Tsutomu Aragaki, Ryohei Mori, Kazuki SAWAMOTO   +3 more
openalex   +2 more sources

Dynamic image data compression in spatial and temporal domains: theory and algorithm [PDF]

, 1997
Dino Ho, Dagan Feng, Kewei Chen
openalex   +1 more source

Retrotransposon Expression Is Upregulated in Adulthood and Suppressed during Regeneration of the Limb in the Axolotl (Ambystoma mexicanum)

Advanced Biology, EarlyView.
The axolotl's remarkable regenerative abilities decline with age, the causes may include the numerous repetitive elements within its genome. This study uncovers how Ty3 retrotransposons and coexpression networks involving muscle and immune pathways respond to aging and regeneration, suggesting that transposons respond to physiological shifts and may ...
Samuel Ruiz‐Pérez, Nicolás Alcaraz, Karla Torres‐Arciga, José Antonio Ocampo‐Cervantes, Alejandra Cervera, Clementina Castro‐Hernández, Cynthia Gabriela Sámano‐Salazar, Ernesto Soto‐Reyes, Rodrigo González‐Barrios   +8 more
wiley   +1 more source

Investigation of Energy Cost of Data Compression Algorithms in WSN for IoT Applications. [PDF]

Sensors (Basel), 2022
Mishra M, Sen Gupta G, Gui X.
europepmc   +1 more source

SHRINK: Data Compression by Semantic Extraction and Residuals Encoding [PDF]

arXiv
The distributed data infrastructure in Internet of Things (IoT) ecosystems requires efficient data-series compression methods, along with the ability to feed different accuracy demands. However, the compression performance of existing compression methods degrades sharply when calling for ultra-accurate data recovery. In this paper, we introduce SHRINK,
arxiv  

<title>3D visual data compression based on ray-space projection</title> [PDF]

, 1997
Takeshi Naemura, Masahide Kaneko, Hiroshi Harashima   +2 more
openalex   +1 more source

Current and Future Cornea Chip Models for Advancing Ophthalmic Research and Therapeutics

Advanced Biology, EarlyView.
This review analyzes cornea chip technology as an innovative solution to corneal blindness and tissue scarcity. The examination encompasses recent developments in biomaterial design and fabrication methods replicating corneal architecture, highlighting applications in drug screening and disease modeling while addressing key challenges in mimicking ...
Minju Kim, Kanghoon Choi, Amy Lin, Jungkyu Kim   +3 more
wiley   +1 more source

HybriDC: A Resource-Efficient CPU-FPGA Heterogeneous Acceleration System for Lossless Data Compression. [PDF]

Micromachines (Basel), 2022
Liu P, Wei Z, Yu C, Chen S.
europepmc   +1 more source