This paper presents the use of artificial neural network (ANN) to predict airblast that is induced by blasting in a diamond mine. A total of 94 blasting datasets were used to develop and train the ANN models using ...

We present a method to drastically reduce the required number of degrees-of-freedom (DOFs) needed for walking for each leg of bipedal robots and lower-limb exoskeletons. This approach releases more legs DOFs in the null ...

This paper presents the design and implementation of an aquaponics greenhouse cloud-based wireless monitoring system and control that allow plants and fish to co-exist in a synergetic and controlled ecology. Two controllers ...

Despite the fact that machine learning approaches have demonstrated to efficaciously model the perturbations tangled within the weather patterns, they are still under deployed in under represented countries. This proves the ...

This paper presents related literature review on drones or unmanned aerial vehicles that are controlled in real-time. Systems in real-time control create more deterministic response such that tasks are guaranteed to be ...

This work presents the design and implementation of a smart and solar-powered solid waste segregation system using Arduino microcontroller interfaced with sensors, actuators. and Particle Photon cloud for wireless monitoring. ...

This paper introduces the various upstream land use activities that are major contributors of downstream water pollution. The proposed measures to reduce the pollution of downstream water bodies such as sustainable agricultural ...