Research on the blockchain-based trusted ownership confirmation and value transfer system and its light weight of industrial data assets by WANG Dongchu, FU Yusun, YU Ya

“…The consensus protocol algorithm of the blockchain system was optimized based on the trustworthiness of nodes, reducing the probability of malicious attacks on nodes while improving the efficiency of system transaction consensus, achieving security and lightweight parallelism of the entire system. …”
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An integrated and cooperative architecture for multi-intersection traffic signal control by Qiang Wu, Jianqing Wu, Bojian Kang, Bo Du, Jun Shen, Adriana Simona Mihăiţă

“…However, relevant studies are usually independent of the urban traffic simulation environment, collaborative TSC algorithms and traffic signal communication. In this paper, we propose (1) an integrated and cooperative Internet-of-Things architecture, namely General City Traffic Computing System (GCTCS), which simultaneously leverages an urban traffic simulation environment, TSC algorithms, and traffic signal communication; and (2) a general multi-agent reinforcement learning algorithm, namely General-MARL, considering cooperation and communication between traffic lights for multi-intersection TSC. …”
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LSTM-JSO framework for privacy preserving adaptive intrusion detection in federated IoT networks by Shaymaa E. Sorour, Mohammed Aljaafari, Amany M. Shaker, Ahmed E. Amin

“…The framework dynamically optimizes hyperparameters using the Joint Strategy Optimization (JSO) algorithm, ensuring efficient model adaptation across heterogeneous IoT networks. …”
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Exploring dose–response variability and relative severity assessment in STZ-induced diabetes male NSG mice by Steven R. Talbot, Miriam Heider, Martin Wirth, Anne Jörns, Ortwin Naujok

“…In this pilot study the dose–response relationship of STZ in male NSG mice was investigated and additionally animal suffering was charted by applying the novel ‘Relative Severity Assessment’ algorithm. By this we successfully explored an STZ dose that reliably induced diabetes while reduced stress and pain to the animals to a minimum using evidence-based and objective parameters rather than criteria that might be influenced by human bias.…”
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Predominance Preferential Selection for Minimizing Surplus Parts in the Selective Assembly of a Flow Production System by Kanghyeon Shin, Hyobin Son, Kyohong Jin

“…This paper presents the Predominance Preferential Selection (PPS) algorithm, an advanced approach to optimizing selective assembly in flow production systems. …”
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Unmanned aerial vehicle image stitching based on multi‐region segmentation by Weidong Pan, Anhu Li, Xingsheng Liu, Zhaojun Deng

“…Compared to several popular image stitching algorithms in real experiments, the proposed method can essentially prevent the seamline from crossing significant ground objects to ensure the integrity of structural objects while achieving satisfactory accuracy and efficiency during the UAV image stitching process.…”
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DISEASES OF THE CARDIOVASCULAR SYSTEM – PREVENTIVE AND EDUCATIONAL ACTIVITIES WITHIN THE COUNTY PROGRAM OF PROPHYLAXIS AND PREVENTION OF HEALTH “TOGETHER FOR THE HEART” AMONG THE I... by Anna Ślifirczyk

“…The reduction of those risk factors minimizes the probability of disease, while in ill patients it causes a milder course of ailments and fewer complications (Kosobudzki, Bortkiewicz, 2012). …”
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Advanced heart disease classification based on multi-channel heart sound coupling features. by Yu Fang, Dongbo Liu, Zijian Guo, Hongxia Leng, Xing Liu, Xiaochen Wu

“…When applied to clinical congenital heart disease datasets, the proposed method achieved a classification accuracy of 95.6%, while on the PhysioNet heart sound challenge dataset, it reached an accuracy of 98.3%. …”
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Federated Learning for Brain Tumor Diagnosis: Methods, Challenges and Future Prospects by Ma Yuhan

“…Although these factors limit the widespread application of FL in medical settings, this paper also proposes potential solutions, such as improving algorithm interpretability through interpretable tools, and utilizing transfer learning and domain adaptation methods to enhance model effectiveness across different datasets. …”
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TabMoE: A General Framework for Diverse Table-Based Reasoning with Mixture-of-Experts by Jie Wu, Mengshu Hou

“…However, existing table-based pre-training methods frequently exhibit constraints, supporting only single tasks while requiring substantial computational resources, which hinders their efficiency and applicability. …”
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ZEMAX Simulations and Experimental Validation of Laser Interferometers by Muddasir Naeem, Tayyab Imran

“…Using ZEMAX OpticStudio in non-sequential mode with the physical optics propagation (POP) algorithm, the simulations provide detailed insights into the optical performance of these interferometers. …”
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Artificial Blur Effect for Optical See-Through Near-Eye Displays by Shiva Sinaei, Daisuke Iwai, Kosuke Sato

“…Furthermore, we propose an algorithm to mitigate artifacts around the border region between the sharp and blur regions that appear due to the magnification of the ETL. …”
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Exosomal insights into ovarian cancer stem cells: revealing the molecular hubs by Kiana Sojoudi, Maryam Solaimani, Hossein Azizi

“…A four-fold algorithmic approach, including MCC, DMNC, Degree, and EPC, identified 12 common hub genes. …”
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Affinity Propagation-Based Hybrid Personalized Recommender System by Iqbal Qasim, Mujtaba Awan, Sikandar Ali, Shumaila Khan, Mogeeb A. A. Mosleh, Ahmed Alsanad, Hizbullah Khattak, Mahmood Alam

“…A personalized recommender system is broadly accepted as a helpful tool to handle the information overload issue while recommending a related piece of information. …”
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Approach to Semantic Visual SLAM for Bionic Robots Based on Loop Closure Detection with Combinatorial Graph Entropy in Complex Dynamic Scenes by Dazheng Wang, Jingwen Luo

“…To address this problem, we propose a semantic visual SLAM (vSLAM) algorithm based on loop closure detection with combinatorial graph entropy. …”
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Texture Analysis and Classification using Local Binary Patterns and Statistical Features by Hasan Maher

“…On the other hand, there is HOG which emphasizes edge and gradient information to detect the orientation and shape of a texture in a given image. While LBP describes the local micro-patterns HOG gives the perspective of the global gradient orientation. …”
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Sorting rare earth magnets motors for recycling without opening the motors by A. P. S. Baghel, A. Karati, D. Prodius, I. C. Nlebedim

“…The former was accomplished with 100% accuracy while the latter was accomplished with ~ 78% accuracy. …”
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Rough Set Theory and Soft Computing Methods for Building Explainable and Interpretable AI/ML Models by Sami Naouali, Oussama El Othmani

“…Applied to a private cardiovascular dataset, our MLSpecialReduct algorithm achieves a peak Random Forest accuracy of 0.99 (versus 0.85 without feature selection), while MLFuzzyRoughSet improves accuracy to 0.83, surpassing our MLVarianceThreshold (0.72–0.77), an adaptation of the traditional VarianceThreshold method. …”
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Watermarking public‐key cryptographic functionalities and implementations: The case of encryption and signatures by Foteini Baldimtsi, Aggelos Kiayias, Katerina Samari

“…Abstract A watermarking scheme for a public‐key cryptographic functionality enables the embedding of a mark in the instance of the secret‐key algorithm such that the functionality of the original scheme is maintained, while it is infeasible for an adversary to remove the mark (unremovability) or mark a fresh object without the marking key (unforgeability). …”
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A Machine Learning Approach for Predicting Particle Spatial, Velocity, and Temperature Distributions in Cold Spray Additive Manufacturing by Lurui Wang, Mehdi Jadidi, Ali Dolatabadi

“…The ML predictions closely match CFD outputs while reducing computation time by orders of magnitude, demonstrating that ML-CFD integration can accelerate CSAM process design. …”
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