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Bayesian ANN-Based Prediction and Multi-Objective Optimization of Tribological Behavior in Magnesium Alloy AZ91D at Elevated Temperature Using Pareto GA

Beniyel Muthuraj, Sivapragash Murugesan, Rajesh Rajamony, Michael Thomas Rex Francis • Materials Research (2025)

This study uses an artificial neural network (ANN) model to predict the wear rate and friction coefficient of the magnesium alloy AZ91D, based on experimental data from a pin-on-disc tribometer. The model includes three essential process pa...

DOAJ Open Access (DOAJ) DOI: 10.1590/1980-5373-mr-2025-0388

Research on Parameter Influence of Offshore Wind Turbines Based on Measured Data Analysis

Renfei Kuang, Jinhai Zhao, Tuo Zhang, Chengyang Li • Journal of Marine Science and Engineering (2025)

Offshore wind turbines are prone to structural damage over time due to environmental factors, which increases operational costs and the risk of accidents. Early detection of structural damage through monitoring systems can help reduce maint...

DOAJ Open Access (DOAJ) DOI: 10.3390/jmse13040629

Bone fracture detection through the two-stage system of Crack-Sensitive Convolutional Neural Network

Yangling Ma, Yixin Luo • Informatics in Medicine Unlocked (2021)

Automated fracture detection is an essential part in a computer-aided tele-medicine system. Fractures often occur in human's arbitrary bone due to accidental injuries such as slipping. In fact, many hospitals lack experienced surgeons to di...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.imu.2020.100452

Gold Price Forecasting using Time Series Modeling on a Web Platform

Dwi Ratna Puspita Sari, Sirli Fahriah, Kurnianingsih, Santi Purwaningrum • Journal of Innovation Information Technology and Application (2025)

Gold is one of the most favored investment instruments due to its stability and its ability to preserve value against inflation. However, its price movements are volatile and influenced by various global economic factors, currency exchange ...

DOAJ Open Access (DOAJ) DOI: 10.35970/4p33wz16

LPMP: A Bio-Inspired Model for Visual Localization in Challenging Environments

Sylvain Colomer, Sylvain Colomer, Nicolas Cuperlier, Guillaume Bresson et al. • Frontiers in Robotics and AI (2022)

Autonomous vehicles require precise and reliable self-localization to cope with dynamic environments. The field of visual place recognition (VPR) aims to solve this challenge by relying on the visual modality to recognize a place despite ch...

DOAJ Open Access (DOAJ) DOI: 10.3389/frobt.2021.703811

Evolution of prehension ability in an anthropomorphic neurorobotic arm

Gianluca Massera, Gianluca Massera, Angelo Cangelosi, Stefano Nolfi • Frontiers in Neurorobotics (2007)

In this paper, we show how a simulated anthropomorphic robotic arm controlled by an artificial neural network can develop effective reaching and grasping behaviour through a trial and error process in which the free parameters encode the co...

DOAJ Open Access (DOAJ) DOI: 10.3389/neuro.12.004.2007

Evolutionary Robotics

Stefano Nolfi, Dario Floreano • The MIT Press eBooks (2000)

Evolutionary robotics is a new technique for the automatic creation of autonomous robots. Inspired by the Darwinian principle of selective reproduction of the fittest, it views robots as autonomous artificial organisms that develop their ow...

OPENALEX Open Access DOI: https://doi.org/10.7551/mitpress/2889.001.0001

Quantum Computing in Big Data Analytics: A Survey

Tawseef Ayoub Shaikh, Rashid Ali • IEEE International Conference on Computer and Information Technology (CIT) (2016)

Big Data is a term which denotes data that is beyond storage capacity and processing capabilities of classical computer and getting some insight from large amount of data is a very big challenge at hand. Quantum Computing comes to rescue by...

OPENALEX DOI: https://doi.org/10.1109/cit.2016.79

Quantum Computing in Cybersecurity

• Wiley eBooks (2023)

Machine learning, deep learning, probabilistic neural networks, blockchain, and other new technologies all demand extremely high processing speeds. A quantum computer is an example of such a system. Quantum computers may be accessed over th...

OPENALEX DOI: https://doi.org/10.1002/9781394167401

Recall Performance for Content-Addressable Memory Using Adiabatic Quantum Optimization

Jonathan Schrock, Alex J. McCaskey, Kathleen E. Hamilton, Travis S. Humble et al. • Entropy (2017)

A content-addressable memory (CAM) stores key-value associations such that the key is recalled by providing its associated value. While CAM recall is traditionally performed using recurrent neural network models, we show how to solve this p...

DOAJ Open Access (DOAJ) DOI: 10.3390/e19090500

Fundus imaging based quantum computing: Grading of severity of vision threatening diabetic retinopathy

Amna Ikram, Azhar Imran • Informatics in Medicine Unlocked (2026)

Diabetic Retinopathy (DR) is a major complication of diabetes that can result in irreversible vision loss if not detected early. Manual ophthalmologic screening is time-consuming and subject to subjectivity, underscoring the need for accura...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.imu.2026.101744

Multimodal deep learning for automated atomic qubits fabrication in silicon

Yuwei Cui, Kunrong Wu, Ping Wu, Luyan Yang et al. • Machine Learning: Science and Technology (2026)

Donor-based spin qubits in silicon are a promising platform for scalable quantum computing due to their long coherence times and high-fidelity gate operations. A viable path for fabricating donor qubit arrays with atomic precision is scanni...

DOAJ Open Access (DOAJ) DOI: 10.1088/2632-2153/ae8e30

Using an Inspired Quantum-Classical Sequential Neural Network to Segment Liver Tumor Images Accurately

Sonwane Suchitra Shivaji Rao, K. Gangadhara Rao • Journal of Applied Science and Engineering (2026)

Medical analytics based on multimodal intelligence are essential to contemporary healthcare, especially in the diagnosis and detection of liver cancer. However, low contrast, varied textures, and irregular tumor forms in medical imaging con...

DOAJ Open Access (DOAJ) DOI: 10.6180/jase.202701_36.052

Color‐Filter‐Free Image Sensor Using CsPbBr3 Quantum‐Dot‐Based Tamm Plasmon Photodetector for Photonic Synapse Facial Recognition

Meng‐Cheng Yen, Yung‐Chi Yao, Chia‐Jung Lee, Shi‐Hui Huang et al. • Advanced Science (2025)

Abstract This study demonstrates that optical absorption of the CsPbBr3 quantum dots can be significantly enhanced through monolithic integration with the Tamm plasmon (TP) structure. This integration enables the resulting TP photodetector ...

DOAJ Open Access (DOAJ) DOI: 10.1002/advs.202503464

Recurrent quantum embedding neural network and its application in vulnerability detection

Zhihui Song, Xin Zhou, Jinchen Xu, Xiaodong Ding et al. • Scientific Reports (2024)

Abstract In recent years, deep learning has been widely used in vulnerability detection with remarkable results. These studies often apply natural language processing (NLP) technologies due to the natural similarity between code and languag...

DOAJ Open Access (DOAJ) DOI: 10.1038/s41598-024-63021-y