This study presents the development and analysis of a new block hybrid method for the direct solution of second-order initial value problems (IVPs) of...
The weed invasion is one of the most severe challenges to sustainable rice production, which diminishes crop production and over depends on herbicides...
Brain tumours have been known to be detected early and accurately as a constituent of effective clinical intervention and better patient survival. Nev...
Greenhouse farming is often limited by unstable environmental conditions and inefficient manual control methods. The paper designs an Artificial Intel...
This paper presents enhance transmission energy efficiency in an LTE heterogeneous network using adaptive cell selection algorithm. This was embarked ...
Breast cancer stands out as one of the most noticeable and impassive diseases worldwide, primarily affecting women. Detecting it at its initial stage ...
This paper presents the improvement ofenergy efficiency on a mobile ad-hoc network(MANET) using an energy optimization algorithm (EOA). The study addr...
This work is presented to demonstrate the principles and technical procedure for energy hybridization in optimal Unmanned Aerial Vehicle (UAV) operati...
Handwritten signature verification remains a widely used method of personal authentication in financial, legal, and administrative systems. However, m...
The presence of complex and heterogeneous tumour characteristics is still a decisive problem in the diagnosis of brain tumours that makes it a signifi...
This paper presents the development of biometric exam fraud detection system using artificial intelligence technique. This aim is to employ facial rec...
Deciding on the most suitable location for cell deployment continues to pose significant challenges for network administrators. Despite the operation ...
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