Improved Hypernymy Detection Algorithm Based on Heterogeneous Graph Neural Network by Li Ren, Jing Huang, Hai-Tao Jia, Shu-Bao Sun, Kai-Shi Wang, Yi-Le Wu

“…Sub-word features are adopted to capture the intrinsic semantic connections between nested phrases, thus alleviating the issue of reversed predictions for nested phrases. …”
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On the Management and Financial Resources Formation of Local Budgets by M. S. Nurmaganbetova, G. R. Dauliyeva, A. A. Niyazbaeva

“…In the process of preparing the article, the issues of introducing the fourth level of the budget, on the participation of citizens in budget planning were considered. …”
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Compositional transformations can reasonably introduce phenotype-associated values into sparse features by George I. Austin, Tal Korem

“…Here, we examine whether such an observation should necessarily indicate issues with processing or machine learning pipelines. …”
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Improving MRAM Performance with Sparse Modulation and Hamming Error Correction by Nam Le, Thien An Nguyen, Jong-Ho Lee, Jaejin Lee

“…During the encoding process, three check bits are appended to the user data and processed using a generator matrix. …”
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Incremental mining of periodic patterns of inadequately informed communication data based on fuzzy segmentation of time series by Miaomiao Li

“…This method downgrades the insufficient information communication data to address uneven length issues. Utilizing the improved Gath-Geva algorithm, the downgraded data is partitioned into different periodic time series data via fuzzy clustering. …”
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An M-DeepSORT Algorithm for Pedestrian Detection and Tracking Based on Video Images – A Case Study in Ji-nan Subway Station by Wei ZHANG, Chuang ZHU, Yunchao QU, Guanhua LIU, Der-Horng LEE

“…Traditional trajectory extraction methods face limitations due to manual feature design and multi-stage processing. Leveraging advancements in deep learning, this paper integrates M-DeepSORT with YOLOv5 and proposes a feature association matching approach that addresses trajectory drift issues through simultaneous consideration of motion and appearance matching. …”
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Addressing Sensor Data Heterogeneity and Sample Imbalance: A Transformer-Based Approach for Battery Degradation Prediction in Electric Vehicles by Bi Wu, Shi Qiu, Wenhe Liu

“…Our Transformer-based model captures long-term dependencies in the battery degradation process through its self-attention mechanism. Experimental results demonstrate that the proposed solution significantly improves battery degradation prediction accuracy, achieving a 21.3% increase in accuracy when processing heterogeneous data and a 24.5% improvement in prediction capability for imbalanced samples compared to traditional methods. …”
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Tax planning: organization features at enterprise by Grabchuk I.L., Laichuk S.M.

“…The research determines the need for studying the «cloud» technologies as the method of saving company’s resources and increasing the efficiency of processing accounting data. The study defines the concept of the «cloud», the types of clouds and the main advantages and disadvantages of each one for a particular purposes of a company. …”
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Tensor Calculus in Digital Colorimetry by Y. N. Saukova, M. A. Hundzina

“…Any object can have many implementations in the form of digital images and any digital image can be processed many times increasing or decreasing accuracy and reliability. …”
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Research on Network Intrusion Detection Model Based on Hybrid Sampling and Deep Learning by Derui Guo, Yufei Xie

“…This study proposes an enhanced network intrusion detection model, 1D-TCN-ResNet-BiGRU-Multi-Head Attention (TRBMA), aimed at addressing the issues of incomplete learning of temporal features and low accuracy in the classification of malicious traffic found in existing models. …”
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BioDiv: Modeling the Distribution, Abundance, Survival and Collision Risk of Raptors With Wind Turbines by Igor V. Karyakin, Kirill I. Knizhov

“…To facilitate this process, the BioDiv software is presented, developed to help Russian-speaking ecologists and zoologists, and is easy to use for data preparation, processing, and modeling (SDM, CRM). …”
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Automating the search for legal information in Arabic: A novel approach to document retrieval by K. S. Jafar, A. A. Mohammad, A. H. Issa, A. V. Panov

“…The retrieval of legal information, including information related to issues such as punishment for crimes and felonies, represents a challenging task. …”
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Moving Healthcare AI Support Systems for Visually Detectable Diseases to Constrained Devices by Tess Watt, Christos Chrysoulas, Peter J. Barclay, Brahim El Boudani, Grigorios Kalliatakis

“…Tiny machine learning (tinyML) aims to solve this problem by hosting artificial intelligence (AI) assistants on constrained devices, eliminating connectivity issues by processing data within the device itself, without Internet or cloud access. …”
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ELD-YOLO: A Lightweight Framework for Detecting Occluded Mandarin Fruits in Plant Research by Xianyao Wang, Yutong Huang, Siyu Wei, Weize Xu, Xiangsen Zhu, Jiong Mu, Xiaoyan Chen

“…Our method incorporates edge-aware processing to strengthen feature representation, introduces a streamlined detection head that balances accuracy with computational cost, and employs an adaptive upsampling strategy to minimize information loss during feature scaling. …”
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PILOT RESULTS OF THE CHRONIC ISCHEMIC HEART DISEASE REGISTRY IMPLEMENTATION IN ALTAISKY KRAI by E. A. Nomokonova, V. A. Elykomov, А. А. Efremushkina

“…In the Altaisky Krai the Registry was started in 16 piloting healthcare institutions, and the center of data processing was KSBHI Altaisky Krai cardiological dispensary and KSBHI Krai Clinical Hospital. …”
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Visualising Spatial Dispersion in Cultural Heritage Data by Laya Targa, Esperanza Villuendas, Cristina Portalés, Jorge Sebastián

“…This study addresses these issues through a case study on the Museo de América’s “Place of Provenance” data, proposing a methodology for data cleaning and evaluating geocoding accuracy using Nominatim, ArcGIS, and GeoNames APIs. …”
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On the effects of tool nose radius in alleviating parasitic mechanisms for cutting of aluminum alloy by Sweta Baruah, James B. Mann, Srinivasan Chandrasekar, Balkrishna C. Rao

“…Despite extensive research and process advancements, parasitic mechanisms such as chatter, excessive tool wear, and energy dissipation continue to undermine the efficiency and sustainability of machining processes. …”
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Mitigating Nonlinear Impairments in High-speed Optical Communication Systems via Volterra Nonlinear Equalizer by Safa Jabbar Mohammed, Jalil A. Hamadamin

“…The study aims to address the issues presented by nonlinear effects, specifically self-phase modulation (SPM), which significantly degrades system performance at higher power levels. …”
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A crowdsensing-based framework for sound and vibration data analysis in smart urban environments by Boban DAVIDOVIC, Sanja DEJANOVIC, Maja DAVIDOVIC

“…Key features of our system include data acquisition through mobile crowdsensing application, advanced signal processing algorithms for noise and vibration identification, and the integration of geospatial information to provide location-specific context. …”
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Assessing Academic Information System Performance Through Sentiment Analysis by Zafira Thuraya, Ali Ibrahim, Yadi Utama, Dwi Rosa Indah

“…The Academic Information System (SIMAK) at Sriwijaya University plays a crucial role in facilitating student academic activities; however, it faces several technical issues that affect user satisfaction, including server outages and challenges in data access. …”
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