Abstract: As chip manufacturing approaches physical limits, the probability of defects due to specific chip layout structures has significantly increased. These defect-prone structures are known as ...

Computed Tomography (CT) is widely used in medical diagnosis. Filtered Back Projection (FBP), a traditional analytical method, is commonly used in clinical CT to preserve high-frequency details but ...

Interdisciplinary studies involving the visual system, computational models and computer vison, show great potential in promoting the joint development of these fields. The achievements and knowledge ...

Georgia Tech's online master's in computer science has taken off like a rocket ship. It is the most successful degree program in the history of higher education and we should all take important ...

Abstract: We propose a novel and effective deep learning method, called deep pattern matching, for predicting the energy consumption of complex structures, which helps designers to develop ecological ...

"Over centuries of evolution, humans’ pattern recognition skills determined natural selection. Hunters skilled at spotting prey and predator and telling poisonous plants from healthy ones offered them ...

Google recently published a research paper on a new algorithm called SMITH that it claims outperforms BERT for understanding long queries and long documents. In particular, what makes this new model ...

Note: Some of the code here is old and was written when I was learning C++. It might be possible that code is not safe or making wrong assumptions. Please use with caution. Pull requests are always ...

Quantifying biodiversity is a key aim of ecological science, but for the majority of organisms, species detection and identification are so demanding and costly that assessment of multi-taxon ...

Here we describe a universal and flexible solution to the above limitations by introducing 'decision rule sets' for lipid subclass–adduct combinations (referred to as 'subclass/adduct') and an ...