Forensic science plays a vital role in identifying, characterizing, and quantifying physical and biological traces recovered from crime scenes — a task that ...

Abstract: Multi-scale approaches have been widely studied in pathology image analysis. These offer an ability to characterize tissues in an image at various scales, in which the tissues may appear ...

When wildfires blazed through Los Angeles last year, displacing tens of thousands of people, the local National Council of Jewish Women affiliate was well positioned to help. The national nonprofit’s ...

Abstract: Wafer maps are extremely critical data that need to be carefully analyzed for quality control and yield improvement. A wafer bin map (WBM) presents the chip probing test results for a wafer, ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Article Views are the COUNTER-compliant sum of full text article downloads since ...

Disassembly is the cornerstone of many cybersecurity solutions (vulnerability search, malware classification, etc.). Deepbits leverages the recent advance in deep learning to develop DeepDi, a fast ...

DeepDrug is a deep learning framework, using residual graph convolutional networks (RGCNs) and convolutional networks (CNNs) to learn the comprehensive structural and sequential representations of ...

Meta is facing an AI copyright lawsuit in France that’s been brought by authors and publishers who are accusing it of economic “parasitism,” Reuters reports. The French litigation was filed in a Paris ...

In binary systems, each digit is referred to as a bit (short for binary digit). Each bit can either be 0 or 1, representing no electrical charge (off) or an electrical charge (on). Bits are grouped in ...

Cluster analysis can be used on symptom and behavior data to identify groups of similar individuals who may share underlying disease etiology or health risks. However, there are few clustering methods ...