Blockchain-Assisted Verifiable and Multi-User Fuzzy Search Encryption Scheme by Xixi Yan, Pengyu Cheng, Yongli Tang, Jing Zhang

“…Since diverse types of files need to be guaranteed to be accessible by doctors in the corresponding departments, sharing decryption keys with the corresponding doctors for different types of files is an issue. To solve these problems, a verifiable fuzzy searchable encryption with blockchain-assisted multi-user scenarios is proposed. …”
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A Classifier Model Using Fine-Tuned Convolutional Neural Network and Transfer Learning Approaches for Prostate Cancer Detection by Murat Sarıateş, Erdal Özbay

“…Additionally, a pyramid-type CNN architecture was designed to simultaneously evaluate both fine details and broader structures by combining low- and high-resolution information through feature maps extracted from different CNN layers. …”
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Cultural Adaptation of the “Language-Based Reading Disabilities Checklist” for Persian-Speaking Students: A Psychometric Study by Mina Armin, Masoomeh Salmani, Mozhgan Asadi, Fatemeh Paknazar

“…This study aims to examine the translation, cross-cultural adaptation, and assessment of the psychometric features of the checklist for Persian-speaking students. …”
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STRATEGIC INNOVATION IN INTERNATIONAL EDUCATION AND DEVELOPMENT OF MICROECONOMICS OF SMALLAND MEDIUM-SCALE ENTERPRISES by S. Zappala

“…Sectoral workshops discussions are aimed at the issues of accounting and taxation features in Italy. Special attention is paid to the organization of management accounting and inventory management; monitoring of receivables and payables, methods of maintaining solvency in common practice and under crisis, and others.…”
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Multi-Degree Reduction of Said–Ball Curves and Engineering Design Using Multi-Strategy Enhanced Coati Optimization Algorithm by Feng Zou, Xia Wang, Weilin Zhang, Qingshui Shi, Huogen Yang

“…This study presents a novel degree reduction model leveraging Euclidean distance and curvature data, markedly improving the preservation of geometric features throughout the reduction process. To enhance performance further, we propose a multi-strategy enhanced coati optimization algorithm (MSECOA). …”
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PDAA: An End-to-End Polygon Dynamic Adjustment Algorithm for Building Footprint Extraction by Longjie Luo, Jiangchen Cai, Bin Feng, Liufeng Tao

“…Values of 75.4% AP and 84.9% PolySim were achieved on the WHU dataset, effectively solving the problems of redundant vertices and contour smoothing, and providing high-precision building vector data support for scenarios such as smart cities and emergency response.…”
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QUALITY ASSESSMENT OF STUDENT COURSEWORKS: COMPETENCY-BASED APPROACH by T. M. Shamsutdinova

“…Taking into account the features of the competency-focused model of educational process and specifics of the field of vocational education, the criteria for assessing the quality of student courseworks are formulated. …”
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Impact of sight and hearing loss in patients with Norrie disease: advantages of Dual Sensory clinics in patient care by Jane C Sowden, Corné J Kros, Tony Sirimanna, Waheeda Pagarkar, Ngozi Oluonye, Robert H Henderson

“…Norrie disease (ND) is a rare, X-linked condition of visual and auditory impairment, often presenting with additional neurological features and developmental delays of varying severity. …”
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Optimizing balanced accuracy in medical data threshold models by Benjamin F. Dribus, Jamie Hill, Neil Goldsmith, Daniel Martingano

“…While our viewpoint and featured applications involve medical datasets, our methods apply to general threshold-defined classification problems. …”
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Noun class system of Kusaal by Hasiyatu Abubakari

“…Common to all studies on nominal classification in Kusaal is the observation that nouns that exhibit common morphological properties also share identical semantic features. Though this is true to some extent, the generalization breeds a lot of leakages because classifications based on semantic field alone is unable to explain the inclusion of nouns that share identical morphological and phonological features but different semantic features. …”
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Analysis and Simulation of Multimedia English Auxiliary Handle Based on Decision Tree Algorithm by Kaiwei Yan

“…By testing the test set, the experiment shows that, by extracting the language sense features of the candidate’s English composition, it can not only judge whether there is a problem with the language sense of the candidate, but also provide a basis for the overall evaluation of the composition.…”
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Multi-channel spatial-temporal traffic flow prediction based on hybrid static-dynamic graph convolution by Xiongtao ZHANG, Jingyu ZHENG, Qing SHEN, Danfeng SUN, Yunliang JIANG

“…Aiming at the problem that the traffic flow prediction model did not consider the correlation of road context and the dynamics of spatial dependency, a multi-channel spatial-temporal traffic flow prediction based on hybrid static-dynamic graph convolution (MHGCN) was proposed.A sandwich structure (i.e.multi-channel spatial module in the middle and temporal module on both sides) was used in the model to extract spatial-temporal features, and the multi-channel spatial module was divided into static graph convolution module and dynamic graph convolution module.The static graph convolution module simultaneously extracted specific and common features from topological spatial structures, semantic spatial structures, and their combinations.The dynamic graph convolution module assigned different weights to different features and extracts dynamic spatial features from unknown graph structures.In the temporal module, the multi-head attention mechanism was used to extract the global temporal features, and the temporal gating mechanism extracted the local temporal features.The model extracted spatial information from different spatial structures and temporal information from different time intervals to establish a global and comprehensive spatial-temporal relationship.The experimental results show that the MHGCN performs better than the existing traffic flow prediction models on four real world traffic flow datasets.…”
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Population dynamics and monitoring applied to decision-making by M. J. Conroy, D. C. Lee

“…Indeed, many papers from EURING 2003 and previous EURING meetings describe research on problems of pressing management concern. In this session, we focus on a subset of studies in which modeling and statistical estimation is explicitly connected to management decision-making. …”
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Algorithm for Constructing the Hazard Function of the Extended Cox Model and its Application to the Prostate Cancer Patient Database by I. I. Mikulik, G. M. Zharinov, A. Yu. Kneev

“…Consequently, the proposed method effectively solves the problem of feature selection, and can be applied to improve the quality of prognostication.…”
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Аlgorithm of fast computation of local image histograms on video card1 by Ph. S. Trotski, B. A. Zalesky

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Optimal azimuth positioning algorithm for base station antenna based on Gaussian distribution by Songbai LIANG, Feng CHEN, Haiping SONG, Wensheng LI

“…In order to improve the accuracy and efficiency of the discovery of the antenna-feeder problem,an optimal direction angle solution based on Gaussian distribution was proposed to diagnose the antenna-feeder coverage problems of operators.First of all,the location direction information between each MR sampling point reported by the UE and the base station was calculated,and then the proportion of MR sampling points in each interval was calculated,Based on the Gaussian distribution feature,the angle range with the largest proportion of MR sampling points was the appropriate azimuth,which was based on the user hotspot distribution of the sector.Finally,the date of optimal azimuth was compared with the base station azimuth in the background antenna database to detect antenna feeder problems,such as cross feeder,improper antenna coverage direction and incorrect background antenna database,and so on.The field verification shows that,the cost,accuracy and efficiency of the antenna-feeder problems are obviously improved compared with the existing methods.…”
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Application of intelligent translation system based on machine translation in English education curriculum reform by Shan Guo

“…Abstract In order to improve the effect of English education curriculum reform, this paper combines the intelligent translation system based on machine translation to conduct research on English education curriculum reform. Aiming at the problem of efficient retrieval of English documents, this paper proposes a Text semantic recognition model retrieval method based on the combination of global and local features, which makes full use of the advantages of global features and local features to obtain complementary features, thereby improving retrieval performance. …”
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LSTM-IOT (LSTM-based IoT) untuk Mengatasi Kehilangan Data Akibat Kegagalan Koneksi by Yosia Adi Susetyo, Hanna Arini Parhusip, Suryasatriya Trihandaru, Bambang Susanto

“…With advanced prediction and monitoring features, these devices provide efficient and high-value solutions for companies to monitor environmental conditions accurately and proactively. …”
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Theoretical foundations of the organization of branches and repetitions in programs in the logic programming language Prolog by D. V. Zdor

“…The organization of branches and repetitions in the context of logical programming is considered by an example of the Prolog language. The fundamental feature of the program in a logical programming language is the fact that a computer must solve a problem by reasoning like a human. …”
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New operational relations for mathematical models of local nonequilibrium heat transfer by E. M. Kartashov

“…This is a characteristic feature of the analytical solutions of the wave equations, along with the possibility to describe the analytical solution of the problem as equivalent integral relations, which noticeably simplify numerical calculations.Conclusions. …”
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