WiMi Studies Quantum Hybrid Neural Network Model to Empower Intelligent Image Classification

WiMi Studies Quantum Hybrid Neural Network Model to Empower Intelligent Image Classification BEIJING, Jan. 15, 2026––WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global ...
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New survey explores deep learning-based algorithms for the traveling salesman problem

Recent survey delivers the first systematic benchmark of TSP solvers spanning end-to-end deep learners, hybrid methods and ...
IEEE

Clustering Routing Protocol in WSNs Using a Hybrid of Swarm Intelligence Algorithms and Machine Learning

Abstract: Wireless Sensor Networks (WSNs) deployed in wilderness for natural disaster prevention face challenges due to the limited energy of sensor nodes, which restricts network performance and ...

Reimagining Autonomous Network: The Convergence Of Quantum Computing And AI

We might be witnessing the start of a new computing era where AI, cloud and quantum begin to converge in ways that redefine ...
Frontiers

Smart intercropping system to detect leaf disease using hyperspectral imaging and hybrid deep learning for precision agriculture

Introduction: The rapid growth of the global population and intensive agricultural activities has posed serious environmental challenges. In response, there is an increasing demand for sustainable ...
Frontiers

Explainable AI-enabled hybrid deep learning architecture for breast cancer detection

1 College of Mathematics and Computer Science, Chifeng University, Chifeng, China 2 General Surgery Thoracic Surgery, Chifeng Songshan Hospital, Chifeng, China Introduction: Breast cancer stands is a ...
Scientific Research Publishing

Gao, Q., Liu, Y., Zhao, J., et al. (2021) Hybrid Deep Learning for Dynamic Total Transfer Capability Control. IEEE Transactions on Power Systems, 36, 2733-2736.

ABSTRACT: In view of the control problem of hydrogen pressure and flow coupling in the anode subsystem of the Proton Exchange Membrane Fuel Cell (PEMFC) under dynamic load conditions, this paper ...
IEEE

Hybrid Variational Quantum Algorithm Enhanced Subentire-Domain Basis Functions Method With High Learning Efficiency and Better Robustness

Abstract: The subentire-domain (SED) basis functions method is the most effective method for analyzing the electromagnetic (EM) properties of large-scale finite periodic structures (LFPSs). Recently, ...