Bringing quantum ideas to the messy world of disordered proteins

Imagine trying to design a key for a lock that is constantly changing its shape. That is the exact challenge we face in ...

Quantum algorithm beats classical tools on complement sampling tasks

Quantum computers—devices that process information using quantum mechanical effects—have long been expected to outperform ...
IEEE

Improved Energy Efficient Anytime Optimistic Algorithm for PEGASIS to Extend Network Lifetime in Homogeneous and Heterogeneous Networks

Abstract: This study introduces an enhanced version of the PEGASIS algorithm, termed the improved energy efficient anytime optimistic (IEE AO) protocol, designed to improve energy efficiency in ...
IEEE

Research on SNN Learning Algorithms and Networks Based on Biological Plausibility

Abstract: Spiking Neural Networks, inspired by the brain’s neuronal information processing mech- anisms, utilize sparse, event-based spike signals to emulate biological computation. These networks aim ...
Scientific Research Publishing

Accuracy and Response Speed of Eye Center Annotation Using Eye Movement Models: Validating the Effectiveness of Eyesight Detection ()

Optokinetic Nystagmus (OKN) is a natural reflexive eye movement in oculomotor studies, reflecting the health status of the visual system. Through accurate eye center annotation, physicians can observe ...
The Manila Times

WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification

WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification ...
Frontiers

A hybrid metaheuristic algorithm with machine learning for detecting denial-of-service attacks in wireless sensor networks

Moreover, Ramesh et al. (2021) proposed an optimized Deep Neural Network algorithm for detecting DoS attacks in Wireless Multimedia Sensor Networks (WMSNs). Although their implementation might be ...