The paper addresses the problem of using machine learning in practical robot applications, like dynamic path planning with obstacle avoidance, so as to achieve the performance level of machine learning model scorers in terms of speed and reliability,...
This paper proposes a multi-expert unified forecasting architecture with simplex aggregation (MUFASA), a development-anchored forecast-combination framework for multi-step hourly solar irradiation forecasting. A nonlinear temporal expert and a regula...
This paper presents a multi-layer architecture designed to enhance the reliable autonomous flight of single and multiple quadcopters in simulation. The architecture leverages concepts inspired by the resilient spacecraft executive to hierarchically o...
Two strains, 30N-5 and 30VD-1, identified as Bacillus simplex and B. subtilis, were isolated from the rhizospheres of two different plants, a Podocarpus and a palm, respectively, growing in the University of California, Los Angeles (UCLA) Mildred E....
Deep reinforcement learning (DRL) controllers for heating, ventilation and air conditioning (HVAC) are rarely deployed on real edge hardware or evaluated across climates, and published DRL-HVAC studies seldom report a physical deployment. The contrib...
Endmember extraction (EE) in an unmixing chain aims at determining source component spectra constituting pixels from hyperspectral imagery. However, the influence of spectral variability, nonlinear manifolds, and outliers on datasets can seriously de...
Automated Driving Systems (ADSs) commend a substantial reduction of human-caused road accidents while simultaneously lowering emissions, mitigating congestion, decreasing energy consumption and increasing overall productivity. However, achieving high...
In this paper, a new approach of multi-sensor fusion algorithm based on the improved unscented particle filter (IUPF) and a new multi-sensor distributed fusion model are proposed. Additionally, we employ a novel multi-target tracking algorithm that c...
In ordinal regression, where output classes exhibit a natural ordering (e.g., age groups or disease severity), two structural properties are highly desirable: unimodality—the predicted probability distribution should be single-peaked around the...
Herpes simplex virus types 1 and 2 (HSV-1 and HSV-2) cause recurrent skin infections that are difficult to treat because of the limited solubility and permeability of acyclovir (ACV). This study developed electrospun polymeric membranes based on poly...
Sexually transmitted infections, notably herpes simplex virus, remain significant global health concerns. Localized delivery systems that provide sustained antiviral activity at mucosal surfaces offer an attractive alternative to systemic therapies....
Despite the successful contributions in the field of network intrusion detection using machine learning algorithms and deep networks to learn the boundaries between normal traffic and network attacks, it is still challenging to detect various attacks...
Positive-diagonal D-stability asks whether stability persists under every positive diagonal left scaling. We replace the classical Hurwitz half-plane by the Matignon sector for commensurate Caputo systems and solve the resulting real three-dimensiona...
Heterogeneity in route activity and the need to clearly distinguish among observations, scenario assumptions, and operational requirements pose challenges for the short-horizon forecasting of railway coal origin–destination (OD) flows. SCOUT im...
Learned control is commonly evaluated at the policy output, although a deployment layer may transform that output before execution. We study this post-inference semantic boundary for offline multi-agent reinforcement learning policies that produce th...
Herpes simplex virus type 1 (HSV-1) is a neurotropic alphaherpesvirus that interacts dynamically with host cells within structured tissue environments. Conventional two-dimensional (2D) cultures do not fully recapitulate these spatial and microenviro...
Fast-charging protocols for lithium-ion batteries are constrained by spatial thermal accumulation and hardware limitations. While high-fidelity 3D electro-thermal models capture critical localized hotspots, their prohibitive computational latency fun...
In contemporary online social environments, the dynamics of the attention economy drive moral outrage and payoff-seeking diffusion, resulting in sudden collective ostracism and cancel culture. Extending recent adaptive network models of incomplete in...
The inversion of the Rayleigh wave dispersion curve is a crucial step in obtaining the shear wave velocity (VS) of near-surface structures. Due to the characteristics of being ill-posed and nonlinear, the existing inversion methods presented low effi...
Organoid and organ-on-chip technologies are rapidly evolving platforms for viral research that integrate stem cell biology, tissue engineering, and microfluidics to recapitulate key structural, mechanical, biochemical, and cellular features of human...
Contact-rich precision assembly fails in ways visible in the force/torque and proprioceptive streams before they are visible in the finished part, which makes online quality monitoring attractive. We ask whether monitoring accuracy or the recovery po...
Entropy estimation from short samples recurs in symmetric cryptography, where the reference distribution is uniform by design and no single estimator in the considered classical comparison set minimizes mean squared error (MSE) across the full range...
This paper develops a boundary-sensitive asymptotic theory for nonparametric conditional U-statistics smoothed by support-adapted asymmetric kernels when the response variable is subject to Missing-at-Random observation. The problem lies at the inter...