Article describes how the accurate and efficient determination of hydrologic connectivity has garnered significant attention from both academic and industrial sectors due to its critical implications for environment management. To address these challenges, the focus of the author's study is on detecting drainage crossings through the application of advanced convolutional neural networks.

Article describes how embedded devices, constrained by limited memory and processors, require deep learning models to be tailored to their specifications. This research explores customized model architectures for classifying drainage crossing images.

This article aims to generate all theorems of a given size in the implicational fragment of propositional intuitionistic linear logic. It was presented at the 36th International Conference on Logic Programming (ICLP).

This paper discusses linguistically motivated features for enhanced back-of-the-book indexing.

This poster discusses research on building a solar powered PIR security system to monitor wildlife. Researchers introduce the concept of off-grid wildlife video monitoring using a security system, a microcontroller, passive infrared motion sensor and the solar panels with a battery bank.