Owing to the energy supply challenges observed when Wireless Sensor Networks (WSNs) are implemented for effective coordination and transmission of packets enhanced rice production, study focused on actualizing an coordinated power system configuration where a multi-input model is designed complement coordinator (sink node) actuator systems. The amount required distribution evaluated in study. f...

Current radio frequency (RF) classification techniques assume only one target in the field of view. Multi-target recognition is challenging because conventional radar signal processing results superposition micro-Doppler signatures, making it difficult to recognise multi-target activity. This study proposes an angular subspace projection technique that generates multiple data cubes (RDC) condit...

Bayesian optimization is a popular tool for optimizing time-consuming objective functions with limited number of function evaluations. In real-life applications like engineering design, the designer often wants to take multiple objectives as well input uncertainty into account find set robust solutions. While this an active topic in single-objective optimization, it less investigated multi-obje...

Pymrio is an open source tool for Environmentally Extended Multi-Regional Input-Output (EE MRIO) analysis developed in Python. It provides a high-level abstraction layer global EE MRIO databases order to simplify common data tasks. Among others, includes parsers several openly available (EXIOBASE v1 – v3, WIOD, Eora26, OECD-ICIO) as well methods production and consumption based accounts calcula...

Network Augmentation (NetAug) is a recent method used to improve the performance of tiny neural networks on large-scale datasets. This provides additional supervision models from larger augmented models, mitigating issue underfitting. However, capacity not fully utilized, resulting in underutilization resources. In order utilize model without exacerbating underfitting model, we propose new call...