EXPLORE THE HISTORICAL MATERIALIST PERSPECTIVE ON THE ALIENATION OF LABOUR IN THE CURRENT DIGITAL AGE by Nguyen Van Sang

“…This connection highlights the study's contemporary relevance and practical applicability.…”
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A bayesian network model for neurocognitive disorders digital screening in Chinese population: development and validation study by Yifan Yu, Shuaijie Zhang, Hongkai Li, Fuzhong Xue

“…The calibration curves were well calibrated, and the decision curve analysis demonstrated its clinical applicability. In sensitivity analysis, the AUC of the Bayesian network model was 0.791 (95% CI; 0.777-0.806), with good robustness to missing data. …”
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Time Series Anomaly Detection Using Signal Processing and Deep Learning by Jana Backhus, Aniruddha Rajendra Rao, Chandrasekar Venkatraman, Chetan Gupta

“…Our experiments on several benchmark datasets demonstrate that bandpass filtering consistently improves the performance of deep learning methods, including the Functional Neural Network Autoencoder, by refining the input data. Our proposed approach achieves superior performance of up to 20% in detecting anomalies, particularly in a time series with intricate structures, highlighting its potential for practical applications in multiple domains.…”
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Federated learning with joint server-client momentum by Boyuan Li, Shaohui Zhang, Qiuying Han

“…In this study, we introduce a novel Federated Learning algorithm called Federated Joint Server-Client Momentum (FedJSCM) to address data heterogeneity in real-world Federated Learning applications. …”
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Recovering manifold representations via unsupervised meta-learning by Yunye Gong, Jiachen Yao, Ruyi Lian, Xiao Lin, Chao Chen, Ajay Divakaran, Yi Yao

“…Manifold representation learning holds great promise for theoretical understanding and characterization of deep neural networks' behaviors through the lens of geometries. However, data scarcity remains a major challenge in manifold analysis especially for data and applications with real-world complexity. …”
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Reimagining language learning: AI-driven innovations for engagement and growth by Bradford J. Lee

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Design and implementation of CMUT multi-channel ultrasonic transceiver board based on PXIe by Wu Shuaiqi, He Changde, Sun Shuaiwen, Lu Xiaoxing, Zhang Guojun, Zhang Wendong

“…To enable multi-channel pulse transmission, data acquisition, storage, transmission, and analysis based on a capacitive micromachined ultrasonic transducer (CMUT) array, a 32-channel ultrasound transceiver board was designed based on the PXIe bus. …”
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Deep Learning-Based Remote Sensing Image Analysis for Wildfire Risk Evaluation and Monitoring by Shiying Yu, Minerva Singh

“…Although deep learning models outperform traditional methods in predicting wildfires, their accuracy drops to about 90% when using remotely sensed data. To effectively monitor and predict fires, this project aims to develop deep learning models capable of processing multivariate remotely sensed global data in real time. …”
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Modeling of biodiesel production using optimization designs from literature: aiming to reduce the laboratory workload by Iver Bergh Hvidsten, Kristian Hovde Liland, Oliver Tomic, Jorge Mario Marchetti

“…These models offer researchers a data-driven approach to selecting and optimizing biodiesel reactions, reducing laboratory time and improving predictive accuracy for specific systems.…”
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From Social to Academic: Associations and Predictions Between Different Types of Peer Relationships and Academic Performance Among College Students by Jiadong Tian, Jiali Lin, Dagang Li

“…We extracted and computed information on social relationships for roommates, classmates, members of the opposite sex, and others, based on real consumption data of 5597 freshmen students. The correlations between different types of peer relationships and academic performance were compared. …”
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Blockchain-Based Privacy-Preserving Authentication and Access Control Model for E-Health Users by Abdullah Alabdulatif

“…The advancement of e-health systems has resulted in substantial enhancements in healthcare delivery via effective data management and accessibility. The use of digital health solutions presents dangers to sensitive health information, including unauthorised access, privacy violations, and security weaknesses. …”
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Identifications of False Positives Amongst Sodium(I) Cations in Protein Three-Dimensional Structures—A Validation Approach Extendible to Any Alkali or Alkaline Earth Cation and to... by Oliviero Carugo

“…In the end, I think a global initiative, accessible to all volunteers and possibly overseen by the Protein Data Bank, should take the place of the numerous web servers and software applications by providing the community with a select few reliable and widely accepted tools.…”
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Carcinogenic health risks and water quality assessment of groundwater around lead–zinc mining areas of Ebonyi state Nigeria: a data-driven machine learning approach by Obinna Chigoziem Akakuru, Moses Oghenenyoreme Eyankware, Godwin O. Aigbadon, Ayatu Ojonugwa Usman, Alexander Iheanyi Opara, Kizito Ojochenemi Musa, Micheal Akaninyene Okon, Okechukwu Pius Aghamelu, Gabriel Ehriga Odesa, Ifeyinwa Juliana Ofoh, Annabel U. Obinna-Akakuru

“…The novelty of this study lies in its application of machine learning models to accurately predict contamination levels in groundwater around lead–zinc mining areas in Ebonyi State, Nigeria, providing a data-driven approach to enhance environmental monitoring and public health protection in a highly impacted region.…”
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Knowledge Graph Construction Method for Commercial Aircraft Fault Diagnosis Based on Logic Diagram Model by Huanchun Peng, Weidong Yang

“…Firstly, to avoid the inefficiency of logic diagram applications, an executable logic diagram model is established, which can perform mathematical analysis and achieve fault diagnosis and localization using operational data as input. …”
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Wireless Propagation Multipaths using Spectral Clustering and Three-Constraint Affinity Matrix Spectral Clustering by Jojo Blanza

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Integrating Sentinel-1 SAR and Machine Learning Models for Optimal Soil Moisture Sensor Placement at Catchment Scale by Yi Xie, Guotao Cui, Kaifeng Zheng, Guoping Tang

“…The proposed optimization approach offers a cost-effective strategy for collecting reliable in situ data, which is essential for improving the accuracy and applicability of remote sensing products in catchment-scale soil moisture monitoring.…”
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A CNN-Transformer Fusion Model for Proactive Detection of Schizophrenia Relapse from EEG Signals by Sana Yasin, Muhammad Adeel, Umar Draz, Tariq Ali, Mohammad Hijji, Muhammad Ayaz, Ashraf M. Marei

“…Existing methods typically rely on shallow architectures or unimodal data sources, resulting in limited sensitivity—particularly in the early stages of relapse. …”
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Spatio-Temporal Contact Mining for Multiple Trajectories-of-Interest by Adikarige Randil Sanjeewa Madanayake, Kyungmi Lee, Ickjai Lee

“…Various trajectory data mining techniques have been proposed to discover useful patterns to understand the behaviour of spatio-temporal trajectories. …”
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Deploying an Educational Mobile Robot by Dorina Plókai, Borsa Détár, Tamás Haidegger, Enikő Nagy

“…The research utilized the PlatypOUs mobile robot platform, equipped with odometry and inertial measurement units (IMUs), to gather comprehensive motion data. To enhance the reliability and interpretability of the data, advanced data processing techniques—such as moving averages, correlation analysis, and exponential smoothing—were employed. …”
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A Sub-Hourly Precipitation Dataset from a Pluviographic Network in Central Chile by Claudia Sangüesa, Alfredo Ibañez, Roberto Pizarro, Cristian Vidal-Silva, Pablo Garcia-Chevesich, Romina Mendoza, Cristóbal Toledo, Juan Pino, Rodrigo Paredes, Ben Ingram

“…This data descriptor presents a unique high-resolution rainfall dataset derived from 14 pluviograph stations across central Chile’s Mediterranean region, covering variable periods starting from between 1969 and 1992, up to 2009. …”
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