Dynamics of Worm Propagation Model in Complex Networks Considering Benign Worm and Link Prediction Approach by Elham Asadi, Soodeh Hosseini

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An Analysis of Sentiment: Methods, Applications, and Challenges by Harish Dutt Sharma, Parul Goyal

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Investigation of the Wear Behavior of AA6063/Zirconium Oxide Nanocomposites Using Hybrid Machine Learning Algorithms by R. Reena Roy, Leninisha Shanmugam, A. Vinothini, Nirmala Venkatachalam, G. Sumathy, Bhavadharini Murugeshan, P. Mercy Rajaselvi Beaulah, Gizachew Assefa Kerga

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Quantum key-based medical privacy protection and sharing scheme on blockchain by Dexin Zhu, Hu Zhou, Zhiqiang Zhou, Jianan Wu, Jian Zhao

“…Moreover, comparative experiments with existing protocols demonstrate the scheme’s comprehensive advantages in terms of security and performance, evaluated across throughput, computational overhead, communication overhead, and storage overhead.…”
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Ultrasonic Pulse-Echo Signals for Quantitative Assessment of Reinforced Concrete Anomalies by Wael Zatar, Gang Chen, Hien Nghiem, Feng Xiao

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Electrical Storm Optimization (ESO) Algorithm: Theoretical Foundations, Analysis, and Application to Engineering Problems by Manuel Soto Calvo, Han Soo Lee

“…Additionally, the algorithm’s computational costs were evaluated in terms of the number of function evaluations and computational overhead, reinforcing its status as a standout choice in the metaheuristic field.…”
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CerviXpert: A multi-structural convolutional neural network for predicting cervix type and cervical cell abnormalities by Rashik Shahriar Akash, Radiful Islam, SM Saiful Islam Badhon, KSM Tozammel Hossain

“…We compared CerviXpert’s performance against other state-of-the-art convolutional neural network models, including ResNet50, VGG16, MobileNetV2, and InceptionV3, evaluating them on accuracy, computational efficiency, and robustness using five-fold cross-validation. …”
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Comparison of Bayesian Models to Estimate Survival From Dead‐Recovery Alone and Together With Live‐Encounter Data: Challenges and Opportunities by Michael Schaub, Jaume A. Badia‐Boher

“…The marginalized state‐space and multinomial models were the most computationally efficient. The models evaluated do not differ in their ability to model temporal covariates but do differ for individual continuous covariates. …”
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Applying MLP-Mixer and gMLP to Human Activity Recognition by Takeru Miyoshi, Makoto Koshino, Hidetaka Nambo

“…Convolutional neural networks (CNNs), initially proposed for computer vision tasks, are examples of models applied to sensor data. …”
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Wind Turbine Aerodynamics Simulation Using the Spectral/<i>hp</i> Element Framework Nektar++ by Hamidreza Abedi, Claes Eskilsson

“…The primary objective is to evaluate the implementation and effectiveness of the ALM by analyzing aerodynamic loads, wake behavior, and computational demands. …”
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Multi-Objective Optimization of Machine Learning-Based Nonlinear Equalizers for Digital Coherent Optical Interconnects by Lucas C. Dantas, Hildo Guillardi Junior, Plinio Dester, Rafael A. Penchel, Jose Augusto de Oliveira, Marcelo L. F. Abbade, Leandra I. Abreu, Jinlong Wei, Ivan Aldaya

“…However, for dispersion-uncompensated systems with a high bandwidth-reach product, the computational complexity increases, becoming a significant concern. …”
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Sine-dilaton gravity vs double-scaled SYK: exploring one-loop quantum corrections by Leonardo Bossi, Luca Griguolo, Jacopo Papalini, Lorenzo Russo, Domenico Seminara

“…The computation relies on the description of sine-dilaton gravity in terms of a version of the q-Schwarzian theory, the quantum deformation of the standard Schwarzian model dual to JT gravity. …”
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Impact of fixed dental prosthesis on neuroimaging: assessment of artefacts by Syed Murtaza Raza Kazmi, Raima Kaleemi, Wafa Zehra Jamal, Dr Muhammad Azeemuddin, Farhan Raza Khan

“…Results: Of the 297 images evaluated, 173 (58%) were magnetic resonance imaging scans, and 124(42%) were computed tomography scans. …”
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Protection of HEVC Video Delivery in Vehicular Networks with RaptorQ Codes by Pablo Piñol, Miguel Martínez-Rach, Otoniel López, Manuel Pérez Malumbres

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Non-variational quantum random access optimization with alternating operator ansatz by Zichang He, Rudy Raymond, Ruslan Shaydulin, Marco Pistoia

“…Our results pave the way for the practical execution of QRAO on early fault-tolerant quantum computers.…”
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A lightweight multi-path convolutional neural network architecture using optimal features selection for multiclass classification of brain tumor using magnetic resonance images by Amreen Batool, Yung-Cheol Byun

“…Furthermore, an optimal features module implemented to select the most promising features to enhance our proposed multi-path architecture's performance and computational efficiency. In addition, we evaluate the performance of the proposed M-CNN with the Convolutional Neural Network (CNN), Deep Convolutional Neural Network (D-CNN), and other state-of-the-art deep learning architectures using all and selected features for brain tumor detection. …”
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Steganography in IoT: A Comprehensive Survey on Approaches, Challenges, and Future Directions by Maha Driss, Lamia Berriche, Safa Ben Atitallah, Siwar Rekik

“…This study bridges this gap by providing a comprehensive review of steganographic methods for IoT, exploring approaches across many domains such as spatial, frequency, and hybrid methods used in images, videos, audio, text, network traffic, hybrid approaches, and quantum-based methods. We evaluated and validated the techniques employed using key metrics such as imperceptibility, robustness, and embedding capacity while emphasizing the computational restrictions, real-time processing requirements of IoT devices, and the vital requirement for energy-efficient algorithms. …”
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A vision transformer based CNN for underwater image enhancement ViTClarityNet by Mohamed E. Fathy, Samer A. Mohamed, Mohammed I. Awad, Hossam E. Abd El Munim

“…Abstract Underwater computer vision faces significant challenges from light scattering, absorption, and poor illumination, which severely impact underwater vision tasks. …”
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Stress, strain, neutron transport and radiation effects in a full fusion tokamak device: A virtual MAST-U study by Reali Luca, Ellis William M.E., Gray Ander, Boleininger Max, Davis Andrew, Brooks Helen M., Katramados Ioannis, Thornton Andrew J., Buchanan James, Dudarev Sergei L.

“…This is a first step towards applying recently developed multiscale computational tools to evaluate the spectrum of stress in the tokamak, identifying the location of stress concentrations as well as their magnitude. …”
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Design approach of an aquaculture cage system for deployment in the constructed channel flow environments of a power plant. by Taeho Kim, Jihoon Lee, David W Fredriksson, Judson DeCew, Andrew Drach, Solomon C Yim

“…The first portion of the analysis includes the design of a fish cage system with specific net solidities using 3D drafting techniques. Computational fluid dynamics is then applied to evaluate the flow reduction through the system from the previously generated solid models. …”
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