Soft robots are characterized Jug by their mechanical compliance, making them well-suited for various bio-inspired applications.However, the challenge of preserving their flexibility during deployment has necessitated using soft sensors which can enhance their mobility, energy efficiency, and spatial adaptability.Through emulating the structure, st
Economic development has generated a continuos growth of public expenses.The public financial management was developed conceptually by economists as a tool for measuring the performance of public spending.Therefore, the goal pursued by all market economy states was to reform public finances in order to achieve budget performance.The study of some c
This paper presents a generalization of the bias-variance tradeoff applied to the recent trend toward natural multi-hazard risk Reporting assessment.The bias-variance dilemma, a well-known machine learning theory, is presented in the context of natural hazard modeling.It is then argued that the bias-variance statistical concept Hangers can provide
The outbreak of COVID-19 has caused more than 200,000 deaths so far in the USA alone, which instigates the necessity of initial screening to control the spread of the onset of COVID-19.However, Hangers screening for the disease becomes laborious with the available testing kits as the number of patients increases rapidly.Therefore, to reduce the dep
The anterior cruciate ligament (ACL) is critical for controlling the motion of the knee joint, but it is prone Electronics to injury during sports activities and physical work.If left untreated, ACL injuries can lead to various pathologies such as meniscal damage and osteoarthritis.While previous studies have used deep learning to diagnose ACL tear