This proteomics-driven approach to drug discovery improves target validation and uncovers insights into undruggable proteins, ...

EDN announces this year’s winners of the Electronic Products Product of the Year Awards, selected by the editors.

Abstract: A device-free methodology is proposed to recognize the human activity in indoor environments using WiFi received signal strength indication (RSSI), and several machine learning (ML) ...

Paul Kingsnorth argues technology is killing us - physically and spiritually. Hosted by Ross Douthat Produced by Victoria Chamberlin Mr. Douthat is a columnist and the host of the “Interesting Times” ...

Introduction: Early detection of cognitive decline is essential for preventing dementia progression, yet conventional screening tools such as the Mini-Mental State Examination (MMSE) require trained ...

1 Information Statistics Center, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China 2 School of Computer Science and Technology, Hubei Business ...

This project aims to build a multi-class text classification model for consumer complaint narratives.It categorizes complaints into four classes: Credit Reporting, Debt Collection, Consumer Loan, and ...

Abstract: In computer vision, human activity detection is a challenging task with applications spanning from man-machine interaction to intelligence and security. Human action detection is the field ...