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Triangular Geometrized Sampling Heuristics for Fast Optimal Motion Planning

Ahmed Hussain Qureshi, Saba Mumtaz, Yasar Ayaz, Osman Hasan et al. • International Journal of Advanced Robotic Systems (2015)

Rapidly-exploring Random Tree (RRT)-based algorithms have become increasingly popular due to their lower computational complexity as compared with other path planning algorithms. The recently presented RRT * motion planning algorithm improv...

DOAJ Open Access (DOAJ) DOI: 10.5772/59763

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

Akhil Chintalapati, Khashbat Enkhbat, Ramanathan Annamalai, Geraldine Bessie Amali et al. • Quantum Reports (2025)

In the evolving digital landscape, the pervasive influence of artificial intelligence (AI) on social media platforms reveals a compelling paradox: the capability to provide personalized experiences juxtaposed with inherent biases reminiscen...

DOAJ Open Access (DOAJ) DOI: 10.3390/quantum7030036

Quantum Security in Cyber Risk Analysis Through Fuzzy Analytic Hierarchy Process

Mahfooz Ahmad, Eram Fatima, Ankit Shukla, Neeta Bhusal et al. • Journal of Information Security and Cybercrimes Research (2024)

Quantum security is an evolving field that leverages principles of quantum physics to strengthen computing systems. Core concepts such as superposition and entanglement are foundation to this domain. However, current systems face significan...

DOAJ Open Access (DOAJ) DOI: 10.26735/FWSL8668

Two Acceleration-Layer Configuration Amendment Schemes of Redundant Robot Arms Based on Zhang Neurodynamics Equivalency

Zanyu Tang, Mingzhi Mao, Yunong Zhang, Ning Tan • Biomimetics (2024)

Two innovative acceleration-layer configuration amendment (CA) schemes are proposed to achieve the CA of constrained redundant robot arms. Specifically, by applying the Zhang neurodynamics equivalency (ZNE) method, an acceleration-layer CA ...

DOAJ Open Access (DOAJ) DOI: 10.3390/biomimetics9070435

Coalition of explainable artificial intelligence and quantum computing in precision medicine

Soumyadeep Ray, Pronaya Bhattacharya, Ebrahim A. Mattar, Abhishek Mukhopadhyay • Computational and Structural Biotechnology Journal (2025)

This survey examines the convergence of Explainable Artificial Intelligence (XAI) and Quantum Computing (QC) toward precision medicine. We review developments from 2018 to 2025, summarizing quantum algorithms, quantum-machine-learning model...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.csbj.2025.11.031

Event-Based Moving Target Defense in Cloud Computing With VM Migration: A Performance Modeling Approach

Lucas Santos, Carlos Brito, Iure Fe, Juliana Carvalho et al. • IEEE Access (2024)

The domain of information security is undergoing significant evolution to address the increasingly complex challenges aimed at bolstering system resilience against attacks. The Moving Target Defense (MTD) methodology, which entails altering...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2024.3393998

Enhanced Intrusion Detection in Drone Networks: A Cross-Layer Convolutional Attention Approach for Drone-to-Drone and Drone-to-Base Station Communications

Mohammad Aldossary, Ibrahim Alzamil, Jaber Almutairi • Drones (2025)

Due to Internet of Drones (IoD) technology, drone networks have proliferated, transforming surveillance, logistics, and disaster management. Distributed Denial of Service (DDoS) attacks, malware infections, and communication abnormalities i...

DOAJ Open Access (DOAJ) DOI: 10.3390/drones9010046

Causal analysis between altered levels of interleukins and obstructive sleep apnea

Minhan Yi, Minhan Yi, Minhan Yi, Wangcheng Zhao et al. • Frontiers in Immunology (2022)

BackgroundInflammation proteins including interleukins (ILs) have been reported to be related to obstructive sleep apnea (OSA). The aims of this study were to estimate the levels for several key interleukins in OSA and the causal effects be...

DOAJ Open Access (DOAJ) DOI: 10.3389/fimmu.2022.888644

QG-WRN: A Quantum-Enhanced Graph Convolutional Wide Residual Network for ASD Diagnosis via Neuroimaging Sensing Technology

Nanting Huang, Xiaoyu Li, Xin Yang, Li Xie et al. • Sensors (2026)

The pathological mechanism of autism spectrum disorder (ASD) exhibits dual heterogeneity: abnormal local energy metabolism and brain-wide high-order topological failure. To synergistically characterize these complex signals captured by adva...

DOAJ Open Access (DOAJ) DOI: 10.3390/s26133997

A Survey of the Application of Neural Networks to Event Extraction

Jianye Xie, Yulan Zhang, Huaizhen Kou, Xiaoran Zhao et al. • Tsinghua Science and Technology (2025)

Event extraction is an important part of natural language information extraction, and it’s widely employed in other natural language processing tasks including question answering and machine reading comprehension. However, there is a lack o...

DOAJ Open Access (DOAJ) DOI: 10.26599/TST.2023.9010139

Analyzing Sentiments in eLearning: A Comparative Study of Bangla and Romanized Bangla Text Using Transformers

Md Akash Rahman, Manoara Begum, Tanjim Mahmud, Mohammad Shahadat Hossain et al. • IEEE Access (2024)

In the modern world, learning is becoming increasingly critical due to rapid technological breakthroughs, which highlight the need for continuous skill development in both the personal and professional spheres. As a result, eLearning is a c...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2024.3419024

Different hybrid machine intelligence techniques for handling IoT‐based imbalanced data

Gaurav Mohindru, Koushik Mondal, Haider Banka • CAAI Transactions on Intelligence Technology (2021)

Abstract In the era of automatic task processing or designing complex algorithms, to analyse data, it is always pertinent to find real‐life solutions using cutting‐edge tools and techniques to generate insights into the data. The data‐drive...

DOAJ Open Access (DOAJ) DOI: 10.1049/cit2.12032

Analyzing Brain Tumor Classification Techniques: A Comprehensive Survey

Pratikkumar Chauhan, Munindra Lunagaria, Deepak Kumar Verma, Krunal Vaghela et al. • IEEE Access (2024)

Classification of brain tumour is critical in medical image analysis and diagnosis as it aids in determining the affinity of cases to select treatment paths. This feature underscores the importance of accurate classification of brain tumour...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2024.3460380

Melanoma Lesion Detection and Segmentation Using YOLOv4-DarkNet and Active Contour

Saleh Albahli, Nudrat Nida, Aun Irtaza, Muhammad Haroon Yousaf et al. • IEEE Access (2020)

Melanoma is the skin cancer caused by the ultraviolet radiation from the Sun and has only 15-20% of survival rate. Late diagnosis of melanoma leads to the severe malignancy of disease, and metastasis expands to the other body organs i.e. li...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2020.3035345