Neurava Awarded $4 Million NIH Blueprint Optimizer Award to Develop SUDEP Risk Stratification Algorithm

Neurava Inc., an innovative medtech startup focused on advanced wearable monitoring solutions for epilepsy, today announced that it has been awarded a $4 million NIH Blueprint MedTech Optimizer award ...
Northwestern's McCormick School of Engineering

Adaptive Algorithm Aims to Reduce Kidney Discards and Improve Transplant Access

Developed by Professor Sanjay Mehrotra, the Sliding Scale AdaptiVe Expedited (SAVE) algorithm could improve organ allocation ...
IEEE

Covariance-Based Activity Detection in Cooperative Multi-Cell Massive MIMO: Scaling Law and Efficient Algorithms

Abstract: This paper focuses on the covariance-based activity detection problem in a multi-cell massive multiple-input multiple-output (MIMO) system. In this system, active devices transmit their ...
GitHub

Hitesh-9755/Data-Structures-Algorithms

A2Z/ ├── Problems/ # Solved problems organized by difficulty │ ├── Easy/ # Easy level problems │ ├── Medium/ # Medium level problems │ └── Hard/ # Hard level problems │ ├── DataStructures/ # Core data ...
KVOE

Winter commencement activities next for ESU after Thursday’s president selection

With a new leader named, Emporia State University now turns its attention to another celebration. Winter commencement activities take place Friday evening and Saturday morning at White Auditorium.
Frontiers

Multisource spectral fusion combined with variable selection for rapid geographical origin discrimination of Salvia miltiorrhiza

Salvia miltiorrhiza: is a widely used Chinese medicinal herb whose quality is significantly influenced by geographical origin. Establishing reliable methods for origin identification is therefore ...
C&EN

An Integrative Omics and Network Pharmacology Approach to Evaluate the Antiulcer Activity of Bombax ceiba L. Gum in Rats

Center for Systems Biology and Molecular Medicine [An ICMR Collaborating Centre of Excellence (ICMR-CCoE) 2024-2029], Yenepoya Research Centre, Yenepoya (Deemed to be University), Mangaluru 575018, ...
IEEE

Optimizing Human Activity Recognition for Resource-Constrained Environments Using Random Forest and Feature Subset Selection

Abstract: Optimizing Human Activity Recognition (HAR) for devices with limited resources is essential for broader use. HAR is becoming a vital component in the design of intelligent health monitoring ...