Tech Xplore

New memristor training method slashes AI energy use by six orders of magnitude

In a Nature Communications study, researchers from China have developed an error-aware probabilistic update (EaPU) method ...
SciELO

Proposal of a methodology for adjusting hydraulic parameters and pressures using variations of genetic algorithm operators for optimization and reduction of losses in water ...

The percentages of losses in water supply systems are alarming. Hydraulic modeling and simulation are widely used resources for evaluating network behavior and identifying better operating conditions ...
IEEE

Energy-Balanced Clustering Algorithm for Software-Defined Wireless Sensor Networks

Abstract: The energy supply of sensor nodes is limited, and the sensor nodes near the sink node usually die out earlier than other nodes which causes the imbalance of energy consumption in wireless ...
IEEE

Cost-Optimized and Highly Robust Latches Providing Complete Quadruple-Node-Upset Tolerance and Recovery With Algorithm-Based Verifications

Abstract: With the aggressive shrinking of transistor feature sizes, nanoscale complementary metal oxide semiconductor (CMOS) circuits are becoming more vulnerable to multinode upsets, e.g., ...