Search Results - A hybrid of Quantum Convolutional Autoencoder AND Quantum Orthogonal Classified with SVM

Network intrusion detection based on variational quantum convolution neural network.

Authors: Gong, Changqing Guan, Weiqi Zhu, Hongsheng et al.

Source: Journal of Supercomputing; Jun2024, Vol. 80 Issue 9, p12743-12770, 28p

Subject Terms: CONVOLUTIONAL neural networks, MACHINE learning, MEASUREMENT errors, DECISION trees, SUPPORT vector machines, K-nearest neighbor classification

Quantum computing for space applications: a selective review and perspectives.

Authors: Torta, Pietro Casati, Rebecca Bruni, Stefano et al.

Source: EPJ Quantum Technology; 6/5/2025, Vol. 12 Issue 1, p1-76, 76p

Subject Terms: QUANTUM annealing, IMAGE recognition (Computer vision), QUANTUM computing, SPACE sciences, DISTRIBUTED computing

A Robust Rolling Bearing Fault Diagnosis Approach Using Hybrid Red Deer Optimization Based 1D-CNN.

Authors: Joseph, Thomas U., Sudeep K., Keerthi Krishnan et al.

Source: International Journal of Acoustics & Vibration; Sep2025, Vol. 30 Issue 3, p272-283, 12p

Subject Terms: ROLLER bearings, FAULT diagnosis, SIGNAL separation, SIGNAL processing, METAHEURISTIC algorithms, SIGNAL denoising, FRACTAL analysis, CONVOLUTIONAL neural networks

Entanglement Detection and Quantification Through Machine Learning: A Comprehensive Review.

Authors: Varela, Joab M. de Palhares Jr, Alberto B. Duarte, Diogo H. G.

Source: Brazilian Journal of Physics; Feb2026, Vol. 56 Issue 1, p1-27, 27p

Quantum Machine Learning: Exploring the Role of Data Encoding Techniques, Challenges, and Future Directions.

Authors: Ranga, Deepak Rana, Aryan Prajapat, Sunil et al.

Source: Mathematics (2227-7390); Nov2024, Vol. 12 Issue 21, p3318, 32p

Subject Terms: QUANTUM computing, MACHINE learning, RESEARCH personnel, ENCODING, SCALABILITY

Intelligent understanding of spectra: from structural elucidation to property design.

Authors: Feng, Shuo Huang, Meng Li, Yanbo et al.

Source: Chemical Society Reviews; 9/21/2025, Vol. 54 Issue 18, p8243-8286, 44p

Subject Terms: ARTIFICIAL intelligence, SPECTRUM analysis, CHEMICAL fingerprinting, SPECTROMETRY, PREDICTION models, QUANTUM chemistry, REVERSE engineering

Optimizing network bandwidth slicing identification: NADAM-enhanced CNN and VAE data preprocessing for enhanced interpretability.

Authors: Islam, Md. Fahim Ul Hossain, Shahriar Alam, Md. Golam Rabiul et al.

Source: PLoS ONE; 10/21/2025, Vol. 20 Issue 10, p1-38, 38p

Subject Terms: ARTIFICIAL intelligence, BANDWIDTH allocation, ELECTRONIC data processing, CONVOLUTIONAL neural networks, QUALITY of service, OPTIMIZATION algorithms, LATENT variables

A DEEP LEARNING CNN APPROACH WITH UNIFIED FEATURE EXTRACTION FOR BREAST CANCER DETECTION AND CLASSIFICATION.

Authors: GANDHI, ONGOLE S. N., TIRUMALA RAO KRISHNA PRASAD, MUNAGA H. M.

Source: i-Manager's Journal on Image Processing; Jun2025, Vol. 12 Issue 2, p1-15, 15p

Subject Terms: CONVOLUTIONAL neural networks, DEEP learning, COMPUTER-aided diagnosis, SUPPORT vector machines, BREAST cancer

Advancements in brain tumor analysis: a comprehensive review of machine learning, hybrid deep learning, and transfer learning approaches for MRI-based classification and segmentation.

Authors: Das, Surajit Goswami, Rajat Subhra

Source: Multimedia Tools & Applications; Jul2025, Vol. 84 Issue 23, p26645-26682, 38p

Subject Terms: BRAIN tumors, MACHINE learning, DEEP learning, MAGNETIC resonance imaging, ARTIFICIAL neural networks, IMAGE segmentation, COMPUTER-assisted image analysis (Medicine), TRANSFER of training

A review of hyperspectral image classification based on graph neural networks.

Authors: Zhao, Xiaofeng Ma, Junyi Wang, Lei et al.

Source: Artificial Intelligence Review; Jun2025, Vol. 58 Issue 6, p1-56, 56p

A comprehensive systematic literature review on artificial intelligence for error correction and modulation schemes in next-generation satellite communications.

Authors: Sharma, Ekta Davey, Christopher P. Deo, Ravinesh C. et al.

Source: Artificial Intelligence Review; Oct2025, Vol. 58 Issue 10, p1-67, 67p

The Neural Frontier of Future Medical Imaging: A Review of Deep Learning for Brain Tumor Detection.

Authors: Berghout, Tarek

Source: Journal of Imaging; Jan2025, Vol. 11 Issue 1, p2, 52p

Subject Terms: GENERATIVE adversarial networks, RECURRENT neural networks, CONVOLUTIONAL neural networks, ARTIFICIAL intelligence, MAGNETIC resonance imaging, DEEP learning

Advancements in fault detection and diagnosis methods for electric vehicles: a review.

Authors: Kumar, Masadi Prashanth Velpula, Srikanth Saiprakash, Chidurala et al.

Source: Discover Applied Sciences; Nov2025, Vol. 7 Issue 11, p1-37, 37p

Computational methods and artificial intelligence-based modeling of magnesium alloys: a systematic review of machine learning, deep learning, and data-driven design and optimization approaches.

Authors: Wang, Hanxuan Kumar, Raman Pattanaik, Ashutosh et al.

Source: Frontiers in Materials; 2025, p1-31, 31p

Subject Terms: ARTIFICIAL intelligence, MACHINE learning, MAGNESIUM alloys, DEEP learning, MATHEMATICAL optimization, CORROSION resistance

Advances in cardiovascular signal analysis with future directions: a review of machine learning and deep learning models for cardiovascular disease classification based on ECG, PCG, and PPG signals.

Authors: Fuadah, Yunendah Nur Lim, Ki Moo

Source: Biomedical Engineering Letters; Jul2025, Vol. 15 Issue 4, p619-660, 42p

Review of machine learning approaches for predicting mechanical behavior of composite materials.

Authors: Sharma, Harshit Arora, Gaurav Singh, Manoj Kumar et al.

Source: Discover Applied Sciences; Nov2025, Vol. 7 Issue 11, p1-37, 37p

Conventional to Deep Learning Methods for Hyperspectral Unmixing: A Review.

Authors: Zou, Jinlin Qu, Hongwei Zhang, Peng

Source: Remote Sensing; Sep2025, Vol. 17 Issue 17, p2968, 44p

Subject Terms: DEEP learning, REMOTE sensing, ALGORITHMS, METADATA, IMAGE processing, IMAGE reconstruction algorithms

Urban street network morphology classification through street-block based graph neural networks and multi-model fusion.

Authors: Liu, Yang Guo, Qingsheng Zheng, Chuanbang

Source: International Journal of Digital Earth; Dec2025, Vol. 18 Issue 1, p1-29, 29p

Subject Terms: MORPHOLOGY, GRAPH neural networks, TOPOLOGICAL property, URBAN transit systems, URBAN planning

Bridging the Gap in Recycled Aggregate Concrete (RAC) Prediction: State-of-the-Art Data-Driven Framework, Model Benchmarking, and Future AI Integration.

Authors: Fan, Haoyun Yap, Soon Poh Zhang, Shengkang et al.

Source: Computer Modeling in Engineering & Sciences (CMES); 2025, Vol. 145 Issue 1, p17-65, 49p

Subject Terms: RECYCLED concrete aggregates, ARTIFICIAL intelligence, SYSTEM integration, MECHANICAL behavior of materials, PREDICTION models, GENERATIVE adversarial networks, MODEL validation

Closing the loop in next-generation sensing through shadow sphere lithography, plasmonics, and artificial intelligence.

Authors: Cheng, Mingyu Chen, Xinyi Zhang, Jinglan et al.

Source: Chemical Society Reviews; 11/7/2025, Vol. 54 Issue 21, p9876-9920, 45p

Subject Terms: PLASMONICS, ARTIFICIAL intelligence, PHOTOLITHOGRAPHY, NANOSTRUCTURES, SIGNAL processing, OPTICAL sensors, DETECTION algorithms