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This paper proposes a self-supervised monocular depth estimation algorithm under multiple constraints, which can generate the corresponding depth map end-to-end based on RGB images. On this basis, based on the traditional visual simultaneous localisation and mapping (VSLAM) framework, a dynamic object detection framework based on deep learning is introduced, and dynamic objects in the scene are culled during mapping.

Typical SLAM algorithms or data sets assume a static environment and do not consider the potential consequences of accidentally adding dynamic objects to a 3D map. This shortcoming limits the applicability of VSLAM in many practical cases, such as long-term mapping. In light of the aforementioned considerations, this paper presents a self-supervised monocular depth estimation algorithm based on deep learning. Furthermore, this paper introduces the YOLOv5 dynamic detection framework into the traditional ORBSLAM2 algorithm for the purpose of removing dynamic objects.

Compared with Dyna-SLAM, the algorithm proposed in this paper reduces the error by about 13%, and compared with ORB-SLAM2 by about 54.9%. In addition, the algorithm in this paper can process a single frame of image at a speed of 15–20 FPS on GeForce RTX 2080s, far exceeding Dyna-SLAM in real-time performance.

This paper proposes a VSLAM algorithm that can be applied to dynamic environments. The algorithm consists of a self-supervised monocular depth estimation part under multiple constraints and the introduction of a dynamic object detection framework based on YOLOv5.

In this paper, the complex flow evaporation process of droplet impact on the liquid film in a horizontal falling film evaporator is numerically studied based on smoothed particle hydrodynamics (SPH) method. The purpose of this paper is to present the mechanism of the water treatment problem of the falling film evaporation for the high salinity mine water in Xinjiang region of China.

To effectively characterize the phase transition problem, the particle splitting and merging techniques are introduced. And the particle absorbing layer is proposed to improve the nonphysical aggregation phenomenon caused by the continuous splitting of gas phase particles. The multiresolution model and the artificial viscosity are adopted.

The SPH model is validated qualitatively with experiment results and then applied to the evaporation of the droplet impact on the liquid film. It is shown that the larger single droplet initial velocity and the smaller single droplet initial temperature difference between the droplet and liquid film improve the liquid film evaporation. The heat transfer effect of a single droplet is preferable to that of multiple droplets.

A multiphase SPH model for evaporation after the droplet impact on the liquid film is developed and validated. The effects of different factors on liquid film evaporation, including single droplet initial velocity, single droplet initial temperature and multiple droplets are investigated.

The prime purpose of the study is to analyse the effect of fintech adoption on the financial well-being of persons with disabilities (PWDs), considering the intervening role of financial behaviour, financial access and financial knowledge.

A self-administered survey schedule collected primary data on fintech adoption and financial well-being among 205 PWD, through snowball sampling from January to May 2023. Researchers used exploratory factor analysis to identify reliable factors and PLS-SEM for testing mediation and research hypotheses.

The study’s outcome found that fintech adoption does not directly impact the financial well-being of PWDs. Instead, the impact on financial well-being is explained by mediating factors like financial access, financial knowledge and financial behaviour. Financial access is the most significant among these mediating factors.

The study demonstrates the significance of mediating factors in comprehending the influence of fintech adoption on financial well-being. These results underpin existing literature on determinants of financial well-being.

Findings evidenced that developing disabled-friendly fintech tools can enhance financial access, reduce inequality and improve the financial well-being of PWDs, which would be helpful for public policymakers.

There has been no comprehensive study conducted on this topic, particularly among PWDs. In the current study, an effort is being made to examine the relative effects of fintech adoption on financial well-being directly and indirectly through mediating variables.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-08-2023-0596