Results 111 to 120 of about 34,984 (270)

Adaptive Autonomy in Microrobot Motion Control via Deep Reinforcement Learning and Path Planning Synergy

Advanced Intelligent Systems, EarlyView.
This study introduces a data‐driven framework that combines deep reinforcement learning with classical path planning to achieve adaptive microrobot navigation. By training a surrogate neural network to emulate microrobot dynamics, the approach improves learning efficiency, reduces training time, and enables robust real‐time obstacle avoidance in ...
Amar Salehi, Bairong Zhu, Haoyu Liu, Tingting Yu   +3 more
wiley   +1 more source

Analysis of a Coupled System of Implicit Fractional Differential Equations of Order α ∈ (1, 2] with Anti-Periodic Boundary Conditions

Fractal and Fractional
This paper investigates a coupled system of nonlinear implicit fractional differential equations of order α∈(1,2] subject to anti-periodic boundary conditions.
Areen Al-Khateeb, Muath Awadalla, Murugesan Manigandan, Salma Trabelsi   +3 more
doaj   +1 more source

Upsampling DINOv2 Features for Unsupervised Vision Tasks and Weakly Supervised Materials Segmentation

Advanced Intelligent Systems, EarlyView.
Feature from recent image foundation models (DINOv2) are useful for vision tasks (segmentation, object localization) with little or no human input. Once upsampled, they can be used for weakly supervised micrograph segmentation, achieving strong results when compared to classical features (blurs, edge detection) across a range of material systems.
Ronan Docherty, Antonis Vamvakeros, Samuel J. Cooper   +2 more
wiley   +1 more source

Two-Point Diagonally Implicit Fractional Block Backward Differentiation Formula for Solving Fractional Differential Equations

Malaysian Journal of Fundamental and Applied Sciences
This paper presents the development of two-point diagonally implicit fractional block backward differentiation formula of order two with constant step size (2DIFBBDF(2)) for solving the fractional differential equations (FDEs). The method is derived based on the concept of fractional linear multistep method and the classical diagonally block backward ...
Yip Lian Yiung, Siti Ainor Mohd Yatim
openaire   +1 more source

ANN‐Enabled Analysis of Nanoparticle Aggregation and Hall Effects on Ag‐H2O Nanofluid Flow Over a Spinning Disk With Convective Heating and Thermal Radiation

Asia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT The exceptional characteristics of nanofluids have turned out to be a significant development in revolutionizing heat transfer mechanisms in several electronic cooling devices and industrial manufacturing processes. The present study deals with the investigation of the second law of thermodynamics applied to the steady MHD fluid flow above a ...
Dixita Sonowal, Bidyasagar Kumbhakar
wiley   +1 more source

The Implicit Euler Scheme for FSDEs with Stochastic Forcing: Existence and Uniqueness of the Solution

Mathematics
In this paper, we focus on fractional stochastic differential equations (FSDEs) with a stochastic forcing term, i.e., to FSDE, we add a stochastic forcing term.
Kęstutis Kubilius
doaj   +1 more source

A Novel Deep Temporal Feature Enhanced Just‐in‐Time Learning Framework for Predicting Rare Earth Component Content

Asia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT Real‐time online detection of rare earth element component contents is a crucial link in ensuring the stable production of the rare earth extraction and separation industry and improving the quality of rare earth products. The traditional methods for predicting the content of rare earth element components based on just‐in‐time learning fail to
Zhaohui Huang, Liangfang Liao, Chunfa Liao, Hui Zhang, Tao Qi, Rongxiu Lu, Wenhao Dai   +6 more
wiley   +1 more source

Technobiological Pathways for High‐CO₂ Capture Using Micro‐/Macroalgae: Genetic Engineering, Process Automation, and Value‐Added Bioproducts

Asia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT Greenhouse gas (GHG) emissions have emerged as one of the most critical drivers of climate change; this is primarily due to high concentrations and long atmospheric life of carbon dioxide (CO2). For a significant amount of time, various biological processes such as microalgal cultivation, cyanobacterial systems, photosynthetic microorganisms ...
Sadhana Semwal, Harish Chandra Joshi
wiley   +1 more source

Repeating Nuclear Transients From Repeating Partial Tidal Disruption Events

Astronomische Nachrichten, EarlyView.
ABSTRACT Extragalactic nuclear transients that exhibit repeating outbursts can be modeled as the repeated dynamical interaction between bound stars and supermassive black holes (SMBHs). A subset of these transients, with recurrence timescales of months‐to‐years, have been explained as accretion flares from the repeated tidal stripping of a star by an ...
Ananya Bandopadhyay, Eric R. Coughlin, Julia Fancher, C. J. Nixon, Dheeraj R. Pasham   +4 more
wiley   +1 more source

The myth of the metabolic baseline: sleep–wake cycles undermine a foundational assumption in organismal biology

Biological Reviews, EarlyView.
ABSTRACT Basal and standard metabolic rate (BMR and SMR) are cornerstones of physiological ecology and are assumed to be relatively fixed intrinsic properties of organisms that represent the minimum energy required to sustain life. However, this assumption is conceptually flawed. Many core maintenance processes underlying SMR are temporally partitioned
Helena Norman, Daphne Cortese, Amelia Munson, Jan Lindström, Shaun S. Killen   +4 more
wiley   +1 more source