Prospects for Legal Regulation of Quantum Communication by A. Minbaleev, S. Zenin, K. Evsikov

“…Among these technologies, a special place is occupied by quantum communication, which is designed to ensure information security in an era where a quantum computer is capable of compromising a number of cryptography algorithms. In this article, this new digital technology includes quantum key distribution and encryption methods that are cryptographically resistant to a quantum computer. …”
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Solar FaultNet: Advanced Fault Detection and Classification in Solar PV Systems Using SwinProba‐GeNet and BaBa Optimizer Models by Praveen Kumar Balachandran, Muhammad Ammirrul Atiqi Mohd Zainuri, Faisal Alsaif

“…Experimental results show that Solar FaultNet outperforms the existing state‐of‐the‐art machine‐learning algorithms and deep‐learning architectures, achieving a precision of 99.1%, recall of 99%, F1‐score of 98.9%, and an error rate as low as 0.018%. …”
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Sieving with Streaming Memory Access by Ziyu Zhao, Jintai Ding, Bo-Yin Yang

“…Notably, we solved the 183-dimensional SVP Darmstadt Challenge in 30 days on a 112-core server and 0.87 TB of RAM; similarly we also found a short vector in the 796-dimensional Ideal-SVP Challenge. …”
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A Rapid Concrete Crack Detection Method Based on Improved YOLOv8 by Yongzhen Wang, Jiacong He

“…This study not only improves the accuracy and speed of crack detection but also significantly reduces the computational complexity of the model, advancing the development of lightweight and practical crack detection algorithms. …”
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Pan-cancer predictive survival model development and evaluation using electronic health record and genetic data across 10 cancer types by Jurgita Gammall, Alvina G. Lai

“…We also provide ways to improve model explainabilty which is critical for model adoption in clinical practice. …”
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Vehicle-to-everything decision optimization and cloud control based on deep reinforcement learning by Zhenhai Gao, Dayu Liu, Chengyuan Zheng

“…In the decision-making module, deep reinforcement learning algorithms are applied to optimize decision processes by maximizing expected rewards. …”
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Single-cell and multi-omics analysis reveals the role of stem cells in prognosis and immunotherapy of lung adenocarcinoma patients by Jianan Zheng, Haoran Lin, Wei Ye, Mingjun Du, Chenjun Huang, Jun Fan

“…Multiple machine learning algorithms were systematically compared in order to develop an optimal prognostic model. …”
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Radar Detection Simulation by Digital Twins of Target and Antenna System by A. S. Grigoriev, A. A. Kazantsev, A. M. Terentyev, B. S. Stavtsev

“…The application of digital twin technology allows the focus of development to be shifted to the earliest stages, thereby significantly reducing not only potential risks, but also saving the required time and material resources. …”
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Automated Quality Control of Candle Jars via Anomaly Detection Using OCSVM and CNN-Based Feature Extraction by Azeddine Mjahad, Alfredo Rosado-Muñoz

“…Other OCC algorithms consistently delivered strong results, with all metrics above 95%, indicating solid generalization from predominantly normal data. …”
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Comment on “Odontogenic Tumors: A Challenge for Clinical Diagnosis and an Opportunity for AI Innovation” by Hinpetch Daungsupawong, Viroj Wiwanitkit

“…By incorporating advanced imaging techniques and machine learning algorithms, researchers can improve the accuracy and efficiency of diagnostic processes. …”
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Personalizing the Marketing with Artificial Intelligence (AI) by Rozhko Viktor I., Pletnova Yelyzaveta S.

“…Furthermore, AI algorithms can reproduce biases that exist in the data they are trained on. …”
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Genital ulcer disease: current challenges and perspectives by L. O. Kovtun

“…To analyze the role of etiological factors of genital ulcer disease based on data from professional literature and to develop proposals for improving diagnostic algorithms, as well as a syndromic approach to treatment and prevention, in particular, regarding current trends in world medical practice. …”
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Improved Binary Grey Wolf Optimization Approaches for Feature Selection Optimization by Jomana Yousef Khaseeb, Arabi Keshk, Anas Youssef

“…A set of comparisons were made against the original binary versions of both GWO and PSO algorithms and against eight state-of-the-art feature selection binary optimizers in addition to one of the recent binary optimizers that combines PSO with GWO. …”
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Unveiling Aducanumab's safety profile: A comprehensive pharmacovigilance analysis. by Huanhuan Ji, Zongren Zhao, Chuanwei Zhao

“…Unexpected AEs such as "subdural hematoma" and "head injury" were also noted, indicating a broader safety profile that requires further investigation.…”
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UOrtos: Methodology for Co-Registration and Subpixel Georeferencing of Satellite Imagery for Coastal Monitoring by Gonzalo Simarro, Daniel Calvete, Francesca Ribas, Yeray Castillo, Càrol Puig-Polo

“…The approach utilizes feature-based methods, cross-correlation, and RANSAC (RANdom SAmple Consensus) algorithms to accurately align images while avoiding outliers. …”
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The use of artificial intelligence in the HR processes of logistics companies by Adam Panek

“…The implementation of AI also contributes to lower operational costs and more efficient operations in the logistics environment. …”
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Predictions of Multilevel Linguistic Features to Readability of Hong Kong Primary School Textbooks: A Machine Learning Based Exploration by Zhengye Xu, Yixun Li, Duo Liu

“…Purpose: To develop advanced readability formulas for Chinese texts using machine-learning algorithms that can handle hundreds of predictors. It is also the first readability formula developed in Hong Kong. …”
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Blueprints for Machine Ethics: A Digital Terrarium for Socio-Ethical Artificial Agent Decisionmaking by Nathaniel Kremer-Herman, Ankur Gupta, Eric R. Severson

“…We enhance our results by also considering the impact of individual agent greed on a society’s overall success (or failure). …”
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Deep Learning Frontiers in 3D Object Detection: A Comprehensive Review for Autonomous Driving by Ambati Pravallika, Mohammad Farukh Hashmi, Aditya Gupta

“…The progression of reference datasets, such as KITTI, Waymo, and NuScenes, was examined, emphasizing their crucial role in propelling detection algorithms forward and enabling comparative studies across diverse methodologies. …”
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Enhancing Security for Resource-Constrained Smart Cities IoT Applications: Optimizing Cryptographic Techniques with Effective Field Multipliers by Atef Ibrahim, Fayez Gebali

“…However, the limitations inherent in IoT edge nodes complicate the deployment of robust cryptographic algorithms, which are fundamentally reliant on finite-field multiplication operations. …”
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