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

Quantum-Enhanced Algorithmic Fairness and the Advancement of AI Integrity and Responsibility.

Authors: Chintalapati, Akhil Enkhbat, Khashbat Annamalai, Ramanathan et al.

Source: Quantum Reports; Sep2025, Vol. 7 Issue 3, p36, 24p

Subject Terms: ALGORITHMIC bias, ARTIFICIAL intelligence, QUANTUM measurement, SUPPORT vector machines, DIGITAL technology, ALGORITHMS, QUANTUM computing

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

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

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

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

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

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

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

Modeling protein–ligand interactions for drug discovery in the era of deep learning.

Authors: Wang, Yuzhe Li, Yibo Chen, Jiaxiao et al.

Source: Chemical Society Reviews; 12/7/2025, Vol. 54 Issue 23, p11141-11183, 43p

Subject Terms: PROTEIN-ligand interactions, DRUG discovery, MOLECULAR dynamics, DRUG design, PREDICTION models, MOLECULAR docking, VIRTUAL high-throughput screening (Drug development), DEEP learning

MACHINE LEARNING-BASED MICROCALCIFICATION DETECTION FROM MAMMOGRAMS: FORMER TECHNIQUES AND CHALLENGES, FUTURE RESEARCH TRENDS.

Authors: Anitha, J. Malathi, S.

Source: Biomedical Engineering: Applications, Basis & Communications; Dec2025, Vol. 37 Issue 6, p1-23, 23p

Subject Terms: MACHINE learning, MAMMOGRAMS, CALCIFICATION

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

Harnessing Synergies between Combinatorial Microfluidics and Machine Learning for Chemistry, Biology, and Fluidic Design.

Authors: Damir, Suyash S. Probst, Julie deMello, Andrew et al.

Source: Chemistry - Methods; Dec2025, Vol. 5 Issue 12, p1-22, 22p

Subject Terms: MICROFLUIDICS, MACHINE learning, INTERDISCIPLINARY research, DATA mining, EMPIRICAL research, BIOCHEMISTRY, BIOLOGY, FLUIDIC devices

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

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

The Road to B5G/6G Mobile Communication Networks: Technologies and Applications.

Authors: Tseng, Chih-Cheng Mihovska, Albena Lien, Shao-Yu

Source: River Publishers Series in Communications; 2025, pxiii-302, 284p

Subject Terms: MOBILE communication systems, TECHNOLOGICAL innovations, AUTONOMOUS vehicles, STATISTICAL reliability, SMART cities, NETWORK performance

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

Machine Intelligence for Mental Health Diagnosis: A Systematic Review of Methods, Algorithms, and Key Challenges.

Authors: Chahar, Ravita Dubey, Ashutosh Kumar

Source: Computers, Materials & Continua; 2026, Vol. 86 Issue 1, p1-65, 65p

Subject Terms: MENTAL health, DIAGNOSIS, ALGORITHMS, ARTIFICIAL intelligence, ANXIETY, MENTAL depression