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Segregation similarity loss in morphological ranking of image search in histopathology
Histopathology is the study of changes in tissue caused by diseases such as cancer. It plays an important role to diagnose the cancers. Regarding the large variation of many cancers types, and the large size of Whole Slide ...
Opportunities for the deep neural network method of solving partial differential equations in the computational study of biomolecules driven through periodic geometries
As deep learning emerged in the 2010s to become a groundbreaking technology in machine vision and natural language processing, it also ushered in many new algorithms for use in scientific research. Among these is the neural ...
A framework for anomalous activity analysis for intrusion detection with applications to IoT networks
Computer systems have become an integral part of our daily lives. The Internet of Things (IoT) has recently attracted considerable attention in the information technology industry due to its various benefits. IoT activities ...
Molecular dynamics simulations and neural network solutions for applications in biophysics
As computing resources evolved and became more accessible over time, much of scientific research shifted towards utilizing computational techniques. In particular, biophysics is a field of science that has continually ...
A novel deep learning architecture and large-scale benchmark for robust object detection in traffic surveillance and analysis
Upstream technologies such as traffic surveillance provide helpful information to downstream intelligent transportation systems intending to improve the safety, mobility, and efficiency of road-users whilst reducing their ...