Application of Ultra Wideband Signal with High Repetition Rate in Forward Scatter Multi-Static Radar System by E. A. Kolokoltsev, A. V. Myakinkov

“…The author proposes algorithms of UWB signal forming and processing which provides the increase of the coverage when detecting ground targets and high range resolution. …”
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THE FACTS AND MIRAGE OF INTEGRATING ARTIFICIAL INTELLIGENCE INTO THE JUDICIAL SYSTEM OF NIGERIA by DR ENYINNAYA N. OBOH

“…It is manifest that the integration of AI in the complex Nigeria judicial system is feasible with identifiable benefits ranging from easy and quick access to justice, accurate legal research, efficiency and accuracy in legal processes and reduction of backlog cases while creating ample time for legal professionals to handle more strategic legal tasks. …”
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A New Hard Problem for Post-Quantum Cryptography: Q-Problem Primitives by Mostefa Kara, Mohammad Hammoudeh, Sultan Alamri

“…This shift is motivated by the structural vulnerabilities that quantum algorithms may exploit in traditional formulations. …”
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Chaotic Adaptive Butterfly Mating Optimization and Its Applications in Synthesis and Structure Optimization of Antenna Arrays by Bin Li, Chao Liu, Huaning Wu, Yifeng Zhao, Yinghui Dong

“…The proposed algorithm is then used to understand any linear array problems in terms of the sidelobe reduction. …”
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Investigation of aromatic compounds and olfactory profiles in cocoa pulp fermentation using yeast-based starters: A Volatilomics and machine learning approach by Haode Chang, Chunhe Gu, Quanmiao Zhang, Wenjing Zhang, Liru Ma, Fei Liu, Zhen Feng

“…The models showed high prediction accuracy, ranging from 0.85 for sourness by Gradient Boost Machine to 0.28 for sweetness by linear regression. …”
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Research on P2P streaming media identification based on UDP by Shi DONG, Gang WANG

“…Several popular P2P networks TV were studied,and their differences in port usage and packet size distribution were analyzed thoroughly.By observing the above characteristics,the conclusions that network TV application employs only one port to generate most of UDP traffic in one communicat period were summarized,and the UDP packet sizes in various network TV differ significantly.Thus,a method that can identify P2P application’s UDP traffic accurately and effectively was proposed based on extended flow records.Through identifying and verifying the five P2P streaming application traffic which was called Trace data collected from the backbone channel of CERNET (China education and research network) border in Jiangsu Province,and traffic identification results compared with machine learning algorithms show that the proposed method has a high precision rate and recall rate,high time efficient,and not susceptible to the impact of the proportion of the sample.…”
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Identification of urban infrastructure objects using the remote satellite sensing of traffic flows on streets with irregular traffic by A. A. Testeshev, T. G. Babich

“…During the studying of significant factors, the influence of variability in the population density and the capacity of general education facilities was investigated. Identification signs of educational institutions used in the interpretation of satellite images were obtained. …”
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Cognitive prerequisites for implementation of foreign verbal communication by Magdalyna V. Lyla

“…It is cognitive activity that is considered relevant for students to understand and use the language, despite their knowledge space and cognitive algorithms conditioned by the properties of the human psyche and the specific situation. …”
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Optimal QoM in Multichannel Wireless Networks Based on MQICA by Na Xia, Lina Xu, Chengchun Ni

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Artificial Intelligence in PR: Transformations of Communication Strategies and Campaigns by Maria Nikolova

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Professional Evolution of School Teacher on Basis of Advanced Pedagogical Experience by N. L. Sokolova

“…Sergeeva “Andragogical support of innovative activity of teachers in the system of professional development” states that this scientific work should be evaluated taking into account the state order for the formation and development of innovative educational infrastructure and building a new strategy of effective activity in the field of secondary, higher and additional education. …”
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The Clearing System of Mutual Settlements between Participants of the Innovation-Industrial Cluster by I. V. Novikova, V. V. Smelova, D. V. Sazonova

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Incel dan Konstruksi Gender dalam Interseksi Marginalisasi dan Ekspresi Radikal di X by Teguh Agum Pratama, Kevin Rasyid Sabili Nasution

“…The findings indicate the algorithms facilitate the radicalization of masculine identity and amplify radical expressions, underscoring the need for intervention through education and responsible social media regulation. …”
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Machine Learning Model for Processing Aerospace Images of the Earthʼs Surface by T. F. Starovoitova, I. A. Starovoitov

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Time series segmentation for recognition of epileptiform patterns recorded via microelectrode arrays in vitro. by Gabriel Galeote-Checa, Gabriella Panuccio, Angel Canal-Alonso, Bernabe Linares-Barranco, Teresa Serrano-Gotarredona

“…While initially trained specifically for detecting ictal activity, these algorithms can be fine-tuned for improved interictal detection, aiming at seizure prediction. …”
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Secure and fast mobility handover scheme for IoMT in 5 G and future 6 G networks by Shayla Islam, S.M. Topazal, Mohammad Kamrul Hasan, Raenu AL Kolandaisamy, Huda Saleh Abbas, Nguyen Vo, Rahul Thakkar, Muhammad Attique Khan, Deepak Gupta, Dina Abdulaziz AlHammadi

“…The predictive algorithm anticipates device movement and pre-allocates resources at the target Base Station (BS), reducing HO latency by 20–30 % in 5 G and up to 40 % in 6 G. …”
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Uncovering Hippo pathway-related biomarkers in acute myocardial infarction via scRNA-seq binding transcriptomics by Xingda Li, Xueqi He, Yu Zhang, Xinyuan Hao, Anqi Xiong, Jiayu Huang, Biying Jiang, Zaiyu Tong, Haiyan Huang, Lian Yi, Wenjia Chen

“…Notably, NAMPT, CXCL1, and GIMAP6 exhibited cell-type-specific expression in endothelial cells and macrophages. We further predicted 179 potential therapeutic agents targeting these biomarkers. …”
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Integrative analysis of signaling and metabolic pathways, immune infiltration patterns, and machine learning-based diagnostic model construction in major depressive disorder by Lei Tang, Liling Wu, Mengqin Dai, Nian Liu, Lu liu

“…By comparing the enrichment results across the five datasets, we found that the cell-killing signaling pathway was consistently present in the enriched signaling pathways of all datasets, suggesting that this pathway may play a crucial role in the pathogenesis of MDD. The random forest algorithm (AUC = 0.788) was selected as the optimal algorithm from 113 machine learning algorithms, leading to the development of a robust and predictive MDD algorithm, highlighting the important role of NPL in MDD. …”
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Evaluating the impact of metabolic indicators and scores on cardiovascular events using machine learning by Guanmou Li, Cheng Luo, Teng Ge, Kunyang He, Miao Zhang, Jinlin Hu, Baoshi Zheng, Rongjun Zou, Xiaoping Fan

“…Through cross-validation to validate model performance, the XGBoost algorithm demonstrated the most accurate performance in predicting cardiovascular outcomes, particularly for diseases like angina and heart failure. …”
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Integrated diagnostics and time series sensitivity assessment for growth monitoring of a medicinal plant (Glycyrrhiza uralensis Fisch.) based on unmanned aerial vehicle multispectr... by Ao Zhang, Haibin Guan, Zhiheng Dong, Xin Jia, Yan Xue, Fengyu Han, Lingjiang Meng, Xiuling Yu, Xiaoqin Wang, Yang Cao

“…PIs collectively achieved high-precision predictions (mean 0.42 ≤ R2 ≤ 0.94), with the prediction of PH using green leaf index (GLI) in BP algorithm attaining peak accuracy (R² = 0.94). …”
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