Results 231 to 240 of about 221,775 (313)
Machine learning driven reservoir property modeling of the AEB-3E reservoir in the Berenice field Egypt. [PDF]
Eid AM, Mabrouk WM, Amer M, Metwally A.
europepmc +1 more source
Ferroelectric Devices for In‐Memory and In‐Sensor Computing
Inspired by biological systems, in‐memory and in‐sensor computing overcome von Neumann bottlenecks. Ferroelectric devices can mimic synaptic functions and sense stimuli like light or force, therefore are ideal for these paradigms. This review introduces the ferroelectric devices applied for in‐memory and in‐sensor computing, covering their structures ...
Hong Fang +5 more
wiley +1 more source
Controlling noisy herds: Temporal network restructuring improves control of indecisive collectives. [PDF]
Chakrabortty T, Bhamla S.
europepmc +1 more source
Bursting with randomness: a simple model for stochastic control of gene expression. [PDF]
Robinson R.
europepmc +1 more source
This study presents an anatomical landmark‐guided DRL framework for autonomous wireless capsule endoscopy navigation. Using a lightweight edge‐contour‐depth fusion module, it achieves over 97% coverage across diverse gastric anatomies. To ensure reliability, a two‐stage sim‐to‐real pipeline with an adaptive dynamic programming controller mitigates ...
Haoxuan Wu +16 more
wiley +1 more source
Spatial continuity of neurons explains non-random network architecture. [PDF]
Reimann MW +3 more
europepmc +1 more source
This work provides a practical guide for neuroengineers to design advanced neural interfaces, embracing and tailoring the concept of functional disorder. By bridging 2D and 3D in vitro models, this work highlights how non‐periodic, spatially heterogeneous, multiscale nanotopography can enable more physiologically relevant platforms for studying neural ...
F. Maita +4 more
wiley +1 more source
Dynamic behavior of a stochastic epidemic model for skin sores: theoretical and computational perspectives. [PDF]
Raza A +5 more
europepmc +1 more source
Advances and Perspectives in Graphene‐Based Quantum Dots Enabled Neuromorphic Devices
Graphene‐based QDs are zero‐dimensional carbon nanomaterials with pronounced quantum confinement and tunable electronic structures. Herein, we summarize their synthesis strategies and functionalization methods, and highlight their functional roles and operating mechanisms in devices, as well as recent advances in neuromorphic electronics. We anticipate
Yulin Zhen +9 more
wiley +1 more source
Topics and Insights on 1-D Tension Stiffening of an RC Member. [PDF]
Yankelevsky DZ +3 more
europepmc +1 more source

