Information Theoretic Learning for Diffusion Models with Warm Start See

Generative models that maximize model likelihood have gained traction in many practical settings. Among them, perturbation-based approaches underpin many state-of-the-art likelihood estimation models, yet they often face slow convergence and limited theoretical understanding. In this paper, we derive a...

Three-Dimensional Finite Element Modeling of Drilling-Induced Damage in S2/FM94 Glass-Fiber-Reinforced Polymers (GFRPs) See

Considering that the machining of composites particularly fiber-reinforced polymer composites (FRPCs) has remained a challenge associated with their heterogeneity and anisotropic nature, damage caused by drilling operations can be considerably mitigated by following optimum cutting parameters. In this work...

Effects of interventions on sedentary behaviour and cardiovascular disease biomarkers in individuals with spinal cord injury: a systematic review See

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COMPARATIVE STUDY OF DEEP CO-AXIAL CLOSED LOOP AND U-SHAPED WELLBORE GEOTHERMAL SYSTEMS See

Until recently, geothermal energy has been limited to regions with favorable subsurface conditions. Most installed geothermal systems are open, using two wells for fluid injection and extraction. Closed-loop systems have historically been used in low-depth installations as ground source heat pump...

PARAMETRIC STUDY OF THE THERMAL-HYDRAULIC CHARACTERISTICS OF DEEP BOREHOLE CO-AXIAL HEAT EXCHANGER IN A GEOTHERMAL WELL See

Geothermal energy constitutes an additional option for energy planners and can have significant advantages when compared to other renewable sources. The work presented here relates to geothermal wells located in areas of average and high geothermal gradients, i.e. 30 and 80 K/km th...

Optimality and solutions for conic robust multiobjective programs See

This paper presents a robust framework for handling a conic multiobjective linear optimization problem, where the objective and constraint functions are involving affinely parameterized data uncertainties. More precisely, we examine optimality conditions and calculate efficient solutions of the conic ...

Decomposition for Large-Scale Optimization Problems: An Overview See

Formalizing complex processes and phenomena of a real-world problem may require a large number of variables and constraints, resulting in what is termed a large-scale optimization problem. Nowadays, such large-scale optimization problems are solved using computing machines, leading to an enormous...

Solution Stability and Well-Posedness for Classes of Parametric Set Optimization Problems See

This paper investigates the solution stability and well-posedness for a parametric set optimization problem (PSOP), where lower and upper set order relations are induced by an improvement set. We provide new sufficient conditions for the outer-continuity, outer-openness and inner-openness of the&...

Bi-level optimization of configurations and scheduling for the multi-microgrid system (MMS) considering shared hybrid electric-hydrogen energy storage service See

Shared energy storage helps lower user investment costs and enhances energy efficiency, which is considered a pivotal driver in accelerating the green transition of energy sectors. In view of the increasing demand for hydrogen, this paper proposes a bi-level optimization of configurations&#x...