Research progress of trusted sensor-cloud based on fog computing by Tian WANG, Xuewei SHEN, Hao LUO, Baisheng CHEN, Guojun WANG, Weijia JIA

“…The sensor-cloud is combined with cloud computing and wireless sensor networks,which extends the service ability of WSN by the support of cloud computing.It is one of the hot topics among the current researches.After comparing and surveying the mainstream system adequately,the characteristics and development of sensor-Cloud were summed up.Then,the direct influence of existing trust issues in the system for data protection and application on upper layer were found.The announced reasons explained that existing schemes were difficult to provide trusted sensor-cloud services.This was because that the capabilities of the underlying WSN nodes were too weak,and cloud computing model lacked the direct management of underlying nodes and data and so on.The trusted structures based on fog computing were given,and the key technologies of trusted evaluation,trusted data collection,and trusted storage were designed.Finally,the discussion pointed out new views for the researches in trusted sensor-cloud.…”
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Bus Admittance Matrix Revisited: Performance Challenges on Modern Computers by Hantao Cui

“…Without using the admittance matrix, nodal power injections and the corresponding sparse Jacobian can be computed by an element-wise method, which consists of a highly regular, vectorized evaluation step and a reduction step. …”
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The Application of Web-Based Scientific Computing System in Innovation and Entrepreneurship by Tingli Cheng

“…With the development of high-performance computing technology, various parallel computers have appeared and are widely used. …”
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Quantum computing for solving Bayesian networks of bridges – method and recommendations by Tareq Abdelmalek, Fadi Oudah

“…This paper provides practical recommendations regarding the accuracy and efficiency of quantum computing for solving diverse types of Bayesian networks for bridge evaluation and maintenance, including basic and fuzzy-based networks. …”
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Generalization of Computer Assisted Prosody Training: Quantitative and Qualitative Findings by Debra M. Hardison

“…Two experiments investigated the effectiveness of computer-assisted prosody training, its generalization to novel sentences and segmental accuracy, and the relationship between prosodic and lexical information in long-term memory. …”
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A comprehensive survey of robust deep learning in computer vision by Jia Liu, Yaochu Jin

“…Besides, this survey elaborates on the current robustness evaluation approaches, which require further exploration. …”
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Dynamic Mixture of Experts for Adaptive Computation in Character-Level Transformers by Zhigao Huang, Musheng Chen, Shiyan Zheng

“…This paper challenges the prevailing assumption that Mixture of Experts (MoE) consistently improves computational efficiency through a systematic evaluation of MoE variants in Transformer models. …”
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Blockchain-Enhanced Security for 5G Edge Computing in IoT by Manuel J. C. S. Reis

“…By combining permissioned and permissionless blockchain layers with Layer-2 scaling solutions and adaptive consensus mechanisms, the framework enhances both security and scalability while maintaining computational efficiency. Using synthetic datasets that simulate real-world adversarial behaviour, our evaluation shows an average authentication latency of 172.50 s and a 50% reduction in gas fees compared to traditional Ethereum-based implementations. …”
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Quantum DeepONet: Neural operators accelerated by quantum computing by Pengpeng Xiao, Muqing Zheng, Anran Jiao, Xiu Yang, Lu Lu

“…However, classical DeepONet entails quadratic complexity concerning input dimensions during evaluation. Given the progress in quantum algorithms and hardware, here we propose to utilize quantum computing to accelerate DeepONet evaluations, yielding complexity that is linear in input dimensions. …”
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A TOPSIS-Based Improved Weighting Approach With Evolutionary Computation by Mithat Zeydan, Murat Güngör, Burak Urazel

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Computer Teaching System Based on Internet of Things and Machine Learning by Lei Chen, Li Zhang

“…In order to solve the problem that the traditional computer-aided teaching system is affected by communication technology, which leads to the inability to interact between teachers and students, the author proposes a research on a computer teaching system based on the Internet of Things and machine learning. …”
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A Comprehensive Survey of Cutting-Edge Methods for Software Architecture Evaluation by Amna Sajid, Muhammad Waqas Arshad

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Analyzing Different Module Characteristics in Computer Adaptive Multistage Testing by Melek Gülşah Şahin

“…Computer Adaptive Multistage Testing (ca-MST), which take the advantage of computer technology and adaptive test form, are widely used, and are now a popular issue of assessment and evaluation. …”
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Channel computation based on multi-scale attention residual network by Wengang Li, Deli Zhou, Qiong Ye

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Detection of Wild Mushrooms Using Machine Learning and Computer Vision by Christos Chaschatzis, Chrysoula Karaiskou, Chryssanthi Iakovidou, Panagiotis Radoglou-Grammatikis, Stamatia Bibi, Sotirios K. Goudos, Panagiotis G. Sarigiannidis

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Impact of computing platforms on classifier performance in heart disease prediction by Beenish Ayesha Akram, Muhammad Irfan, Amna Zafar, Sidra Khan, Rubina Shaheen

“…This work explores how different computing platforms influence the accuracy of classification results when employing the same models. …”
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Fractional Discrete Computer Virus System: Chaos and Complexity Algorithms by Ma’mon Abu Hammad, Imane Zouak, Adel Ouannas, Giuseppe Grassi

“…The spread of computer viruses represents a major challenge to digital security, underscoring the need for a deeper understanding of their propagation mechanisms. …”
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MULTISLICE COMPUTED TOMOGRAPHY CORONARY ANGIOGRAPHY IN PATIENTS WITH ANGINA PECTORIS by D. Ilić, S. Jankovic

“…Aim. Multislice computed tomography (MSCT) is a non-invasive method for the heart and coronary arteries imaging. …”
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Radiomic Feature Extraction Based on Computed Tomography for Stroke Patients by Alamgir Hossain, Jolly Sultana, Shahed Hossain, Hafizur Rahman

“…To improve diagnosis, classification, and prediction for the best possible patient outcomes, this study investigates how radiomics might improve computed tomography (CT)-based stroke evaluation. Methodology: The research included 65 stroke patients from our two institutions from 2023 to 2024. …”
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Parastomal Gallbladder Herniation as an Incidental Preoperative Computed Tomography Finding by Magdalini Smarda, Konstantinos Manes, Dimitrios Fagkrezos, Dimitrios Argiropoulos, Konstantinos Laios, Charickleia Triantopoulou, Petros Maniatis

“…A computed tomography of the abdomen was performed using our Computed Tomography Department’s 64-detector row CT scanner after oral administration of contrast media, without intravenous contrast media injection due to allergy. …”
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