Results 81 to 90 of about 177,417 (264)

Memristive‐Gated RC‐Delay Synaptic Transistors for Time‐Encoded Analog in‐Memory Computing

open access: yesAdvanced Functional Materials, EarlyView.
A Memristive‐Gated Transistor for Time‐Encoded Analog In‐Memory Computing — By exploiting the RC delay of a self‐rectifying interface‐type memristor, nonlinear I–V distortion is structurally bypassed, enabling 3‐bit nonvolatile memory, spike‐timing‐based analog encoding, and hardware‐calibrated reservoir‐computing validation within a unified device ...
Yun‐Seo Shin   +7 more
wiley   +1 more source

Short-term power generation scheduling rules for cascade hydropower stations based on hybrid algorithm

open access: yesWater Science and Engineering, 2012
Power generation dispatching is a large complex system problem with multi-dimensional and nonlinear characteristics. A mathematical model was established based on the principle of reservoir operation. A large quantity of optimal scheduling processes were
Wei Xie   +3 more
doaj   +1 more source

The algorithmic analysis of hybrid systems

open access: yesTheoretical Computer Science, 1995
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Rajeev Alur   +8 more
openaire   +1 more source

3D Bioprinted Glioblastoma Multiforme Models: How the Extracellular Matrix Glycosignature Influences Drug Response

open access: yesAdvanced Functional Materials, EarlyView.
Aberrant glycosylation in the glioblastoma tumor microenvironment drives therapeutic resistance. Here, a 3D bioprinted model was engineered by incorporating α‐NeuNAc‐(2→3)‐β‐D‐Gal‐ and chondroitin sulfate. Combined multiplex immunofluorescence and synchrotron‐based nanoCT analysis revealed that glycan‐matrix interactions dictate specific drug‐escape ...
Francesca Cadamuro   +25 more
wiley   +1 more source

Knowledge-Driven Two-Stage Hybrid Algorithm for Collaborative Reconnaissance Routing Problem of Ground Vehicle and Drones Considering Multi-Type Targets

open access: yesDrones
The collaboration of ground vehicles (GVs) and drones offers a powerful approach for enhancing drone capabilities. Current research focuses on drone-only or single-type target reconnaissance, failing to adequately account for practical scenarios.
Xiao Liu   +3 more
doaj   +1 more source

Microfluidic Nano‐Assembly of Red‐Blood‐Cell (RBC) Lipids and Components for Engineering Extracellular Vesicles

open access: yesAdvanced Healthcare Materials, EarlyView.
Engineered red blood cell‐derived extracellular vesicles (eRBCEVs) are synthesized via controlled microfluidic assembly from native RBC lipids, enabling tunable encapsulation of proteins, nucleic acids, nanoparticles, and viral vectors. The platform demonstrates reproducible nanoscale architecture, preserved membrane composition, and functional cargo ...
Chiranth K. Nagaraj   +23 more
wiley   +1 more source

Optimizing Unmanned Vehicle Navigation: A Hybrid PSO-GWO Algorithm for Efficient Route Planning

open access: yesFirat University Journal of Experimental and Computational Engineering
This study aims to address the route-planning problem for autonomous systems, which plays a significant role in the operation of unmanned vehicles. A hybrid algorithm has been proposed to enhance the performance of metaheuristic algorithm approaches used
Gökhan Altun, İlhan Aydın
doaj   +1 more source

A Hybrid Algorithm for Metaheuristic Optimization

open access: yesCoRR, 2019
We propose a novel, flexible algorithm for combining together metaheuristicoptimizers for non-convex optimization problems. Our approach treatsthe constituent optimizers as a team of complex agents that communicateinformation amongst each other at various intervals during the simulationprocess.
Sujit Pramod Khanna   +1 more
openaire   +2 more sources

Sodium Alginate‐Based Submucosal Lifting Hydrogel for Endoscopic Mucosal Resection and Endoscopic Submucosal Dissection

open access: yesAdvanced Healthcare Materials, EarlyView.
A biocompatible sodium alginate‐based hydrogel is developed as a next‐generation submucosal lifting agent intended for EMR and ESD. The optimized formulation exhibits a composition devoid of endotoxins, high viscosity, demonstrates reliable injectability, and ensures prolonged mucosal elevation.
Iram Maqsood   +9 more
wiley   +1 more source

A Short-Term Building Load Prediction Method Based on Modal Decomposition and Deep Learning

open access: yesBuildings
Accurate cooling load prediction is essential for energy-efficient HVAC system operation. However, the stochastic and nonlinear nature of load data challenges conventional neural networks, causing prediction delays and errors.
Shengze Lu   +7 more
doaj   +1 more source

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