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  • Open Access

    ARTICLE

    Single Qubit Quantum Logistic-Sine XYZ-Rotation Maps: An Ultra-Wide Range Dynamics for Image Encryption

    De Rosal Ignatius Moses Setiadi1,*, T. Sutojo1, Supriadi Rustad1, Muhamad Akrom1, Sudipta Kr Ghosal2, Minh T. Nguyen3, Arnold Adimabua Ojugo4

    CMC-Computers, Materials & Continua, Vol.83, No.2, pp. 2161-2188, 2025, DOI:10.32604/cmc.2025.063729 - 16 April 2025

    Abstract Data security has become a growing priority due to the increasing frequency of cyber-attacks, necessitating the development of more advanced encryption algorithms. This paper introduces Single Qubit Quantum Logistic-Sine XYZ-Rotation Maps (SQQLSR), a quantum-based chaos map designed to generate one-dimensional chaotic sequences with an ultra-wide parameter range. The proposed model leverages quantum superposition using Hadamard gates and quantum rotations along the X, Y, and Z axes to enhance randomness. Extensive numerical experiments validate the effectiveness of SQQLSR. The proposed method achieves a maximum Lyapunov exponent (LE) of ≈55.265, surpassing traditional chaotic maps in unpredictability. The bifurcation analysis… More >

  • Open Access

    ARTICLE

    TransSSA: Invariant Cue Perceptual Feature Focused Learning for Dynamic Fruit Target Detection

    Jianyin Tang, Zhenglin Yu*, Changshun Shao

    CMC-Computers, Materials & Continua, Vol.83, No.2, pp. 2829-2850, 2025, DOI:10.32604/cmc.2025.063287 - 16 April 2025

    Abstract In the field of automated fruit harvesting, precise and efficient fruit target recognition and localization play a pivotal role in enhancing the efficiency of harvesting robots. However, this domain faces two core challenges: firstly, the dynamic nature of the automatic picking process requires fruit target detection algorithms to adapt to multi-view characteristics, ensuring effective recognition of the same fruit from different perspectives. Secondly, fruits in natural environments often suffer from interference factors such as overlapping, occlusion, and illumination fluctuations, which increase the difficulty of image capture and recognition. To address these challenges, this study conducted… More >

  • Open Access

    ARTICLE

    Dynamic Spatial Focus in Alzheimer’s Disease Diagnosis via Multiple CNN Architectures and Dynamic GradNet

    Jasem Almotiri*

    CMC-Computers, Materials & Continua, Vol.83, No.2, pp. 2109-2142, 2025, DOI:10.32604/cmc.2025.062923 - 16 April 2025

    Abstract The evolving field of Alzheimer’s disease (AD) diagnosis has greatly benefited from deep learning models for analyzing brain magnetic resonance (MR) images. This study introduces Dynamic GradNet, a novel deep learning model designed to increase diagnostic accuracy and interpretability for multiclass AD classification. Initially, four state-of-the-art convolutional neural network (CNN) architectures, the self-regulated network (RegNet), residual network (ResNet), densely connected convolutional network (DenseNet), and efficient network (EfficientNet), were comprehensively compared via a unified preprocessing pipeline to ensure a fair evaluation. Among these models, EfficientNet consistently demonstrated superior performance in terms of accuracy, precision, recall, and… More >

  • Open Access

    ARTICLE

    ALCTS—An Assistive Learning and Communicative Tool for Speech and Hearing Impaired Students

    Shabana Ziyad Puthu Vedu1,*, Wafaa A. Ghonaim2, Naglaa M. Mostafa3, Pradeep Kumar Singh4

    CMC-Computers, Materials & Continua, Vol.83, No.2, pp. 2599-2617, 2025, DOI:10.32604/cmc.2025.062695 - 16 April 2025

    Abstract Hearing and Speech impairment can be congenital or acquired. Hearing and speech-impaired students often hesitate to pursue higher education in reputable institutions due to their challenges. However, the development of automated assistive learning tools within the educational field has empowered disabled students to pursue higher education in any field of study. Assistive learning devices enable students to access institutional resources and facilities fully. The proposed assistive learning and communication tool allows hearing and speech-impaired students to interact productively with their teachers and classmates. This tool converts the audio signals into sign language videos for the… More >

  • Open Access

    ARTICLE

    Multi-Scale Vision Transformer with Dynamic Multi-Loss Function for Medical Image Retrieval and Classification

    Omar Alqahtani, Mohamed Ghouse*, Asfia Sabahath, Omer Bin Hussain, Arshiya Begum

    CMC-Computers, Materials & Continua, Vol.83, No.2, pp. 2221-2244, 2025, DOI:10.32604/cmc.2025.061977 - 16 April 2025

    Abstract This paper introduces a novel method for medical image retrieval and classification by integrating a multi-scale encoding mechanism with Vision Transformer (ViT) architectures and a dynamic multi-loss function. The multi-scale encoding significantly enhances the model’s ability to capture both fine-grained and global features, while the dynamic loss function adapts during training to optimize classification accuracy and retrieval performance. Our approach was evaluated on the ISIC-2018 and ChestX-ray14 datasets, yielding notable improvements. Specifically, on the ISIC-2018 dataset, our method achieves an F1-Score improvement of +4.84% compared to the standard ViT, with a precision increase of +5.46% More >

  • Open Access

    ARTICLE

    Real-Time Proportional-Integral-Derivative (PID) Tuning Based on Back Propagation (BP) Neural Network for Intelligent Vehicle Motion Control

    Liang Zhou1, Qiyao Hu1,2,3,*, Xianlin Peng4,5, Qianlong Liu6

    CMC-Computers, Materials & Continua, Vol.83, No.2, pp. 2375-2401, 2025, DOI:10.32604/cmc.2025.061894 - 16 April 2025

    Abstract Over 1.3 million people die annually in traffic accidents, and this tragic fact highlights the urgent need to enhance the intelligence of traffic safety and control systems. In modern industrial and technological applications and collaborative edge intelligence, control systems are crucial for ensuring efficiency and safety. However, deficiencies in these systems can lead to significant operational risks. This paper uses edge intelligence to address the challenges of achieving target speeds and improving efficiency in vehicle control, particularly the limitations of traditional Proportional-Integral-Derivative (PID) controllers in managing nonlinear and time-varying dynamics, such as varying road conditions… More >

  • Open Access

    ARTICLE

    Computational Modeling of Streptococcus Suis Dynamics via Stochastic Delay Differential Equations

    Umar Shafique1, Ali Raza2,7,*, Dumitru Baleanu3, Khadija Nasir4, Muhammad Naveed5, Abu Bakar Siddique1, Emad Fadhal6,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.143, No.1, pp. 449-476, 2025, DOI:10.32604/cmes.2025.061635 - 11 April 2025

    Abstract Streptococcus suis (S. suis) is a major disease impacting pig farming globally. It can also be transferred to humans by eating raw pork. A comprehensive study was recently carried out to determine the indices through multiple geographic regions in China. Methods: The well-posed theorems were employed to conduct a thorough analysis of the model’s feasible features, including positivity, boundedness equilibria, reproduction number, and parameter sensitivity. Stochastic Euler, Runge Kutta, and Euler Maruyama are some of the numerical techniques used to replicate the behavior of the streptococcus suis infection in the pig population. However, the dynamic… More >

  • Open Access

    ARTICLE

    Parameters Estimation of Modified Triple Diode Model of PSCs Considering Charge Accumulations and Electric Field Effects Using Puma Optimizer

    Amlak Abaza1, Ragab A. El-Sehiemy1,6, Mona Gafar2,3,*, Ahmed Bayoumi4,5

    CMES-Computer Modeling in Engineering & Sciences, Vol.143, No.1, pp. 723-745, 2025, DOI:10.32604/cmes.2025.059625 - 11 April 2025

    Abstract Promoting the high penetration of renewable energies like photovoltaic (PV) systems has become an urgent issue for expanding modern power grids and has accomplished several challenges compared to existing distribution grids. This study measures the effectiveness of the Puma optimizer (PO) algorithm in parameter estimation of PSC (perovskite solar cells) dynamic models with hysteresis consideration considering the electric field effects on operation. The models used in this study will incorporate hysteresis effects to capture the time-dependent behavior of PSCs accurately. The PO optimizes the proposed modified triple diode model (TDM) with a variable voltage capacitor… More >

  • Open Access

    ARTICLE

    Road Infrastructure Assessment and Traffic Dynamics Using GIS: A Case Study in the Philippines

    Mary Joy Fruelda1, Shandra Lairene Fampulme1, Faith Fontamillas1, Jemelene Lilang1, Allan Fruelda III1, Isagani Madla1, Crisnel Love Factor1, Kio Alyson Rogero1, Raymond Jay Severo1, Jerome Gacu1,2,3,*

    Revue Internationale de Géomatique, Vol.34, pp. 187-207, 2025, DOI:10.32604/rig.2025.063247 - 09 April 2025

    Abstract Road condition assessment involves evaluating the physical state of roadways to determine necessary maintenance and rehabilitation, while traffic assessment focuses on analyzing vehicle flow patterns to improve traffic management. This study employs Geographic Information Systems (GIS) to assess and evaluate road conditions and traffic dynamics in the rural municipality of Odiongan, Romblon, Philippines. GIS mapping enabled a spatially detailed classification of road conditions, identifying areas categorized as excellent, good, fair, or poor, and highlighted sections requiring maintenance or rehabilitation. These assessments are crucial for enhancing the transportation framework amid escalating developmental and demographic demands. Concurrently,… More >

  • Open Access

    ARTICLE

    Study on the Dynamic Mechanical Damage Behavior of Concrete Based on the Phase-Field Model

    Zhishui Sheng1, Hong Jiang1, Gang Liu2, Fulai Zhang3, Wei Zhang3,*

    Structural Durability & Health Monitoring, Vol.19, No.3, pp. 531-548, 2025, DOI:10.32604/sdhm.2024.059662 - 03 April 2025

    Abstract Concrete materials are employed extensively in a variety of large-scale structures due to their economic viability and superior mechanical properties. During the service life of concrete structures, they are inevitably subjected to damage from impact loading from natural disasters, such as earthquakes and storms. In recent years, the phase-field model has demonstrated exceptional capability in predicting the stochastic initiation, propagation, and bifurcation of cracks in materials. This study employs a phase-field model to focus on the rate dependency and failure response of concrete under impact deformation. A viscosity coefficient is introduced within the phase-field model… More >

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