Optimized deep learning models for stress-based stroke prediction from EEG signals by Sivasankaran Pichandi, Gomathy Balasubramanian, Venkatesh Chakrapani, J. Samuel Manoharan

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SGA-Driven feature selection and random forest classification for enhanced breast cancer diagnosis: A comparative study by Abrar Yaqoob, Navneet Kumar Verma, Mushtaq Ahmad Mir, Ghanshyam G. Tejani, Nashwa Hassan Babiker Eisa, Hind Mamoun Hussien Osman, Mohd Asif Shah

“…Abstract In this study, we propose a novel approach for breast cancer classification that integrates the Seagull Optimization Algorithm (SGA) for feature selection with the Random Forest (RF) classifier for effective data classification. The novelty of our approach lies in the first-time application of SGA for gene selection in breast cancer diagnosis, where SGA systematically explores the feature space to identify the most informative gene subsets, thereby improving classification accuracy and reducing computational complexity. …”
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Probabilistic Deep Learning for Highly Multivariate Spatio-Temporal Log-Gaussian Cox Processes by Achmad Choiruddin, Ekky Rino Fajar Sakti, Tintrim Dwi Ary Widhianingsih, Jorge Mateu, Kartika Fithriasari

“…We assess our model performance via a simulation study, and analyze the highly multivariate spatio-temporal point pattern data of Barro Colorado Island (BCI). Both the simulation study and application demonstrate our model effectiveness over previous approaches to handle highly multivariate point pattern data.…”
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An efficient hybrid filter-wrapper method based on improved Harris Hawks optimization for feature selection by Jamshid Pirgazi, Mohammad Mehdi Pourhashem Kallehbasti, Ali Ghanbari Sorkhi, Ali Kermani

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Travel route recommendation with a trajectory learning model by Xiangping Wu, Zheng Zhang, Wangjun Wan

“…Existing route recommendation methods commonly face two major problems: first, inadequate integration of multi-source data, which fails to fully consider the potential factors affecting route choice; and second, limited capability to capture road network characteristics, which restricts the effective application of node features and negatively impacts recommendation accuracy. …”
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An Assessment of The Effect of The Average Speed Enforcement Systems on Lithuanian Roads by Laura Gavėnienė, Donatas Čygas, Laura Jateikienė Jateikienė, Viktoras Vorobjovas, Vilma Jasiūnienė, Atis Zarinš

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Analysis of Growth Variation in Maize Leaf Area Index Based on Time-Series Multispectral Images and Random Forest Models by Xuyang Wang, Jiaojiao Ren, Penghao Wu

“…Overall, this study demonstrated that UAV-based time-series phenotypic data offers valuable insight into phenotypic variation, thereby enhancing the application of UAVs in crop breeding.…”
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Redshift Distributions of Fast Radio Bursts Inferred Using Clustering in Dispersion Measure Space by Hui Peng, Yu Yu

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Exploring the AI electricity crisis scenario: A case study of Texas-ERCOT by Rémi Paccou, Fons Wijnhoven

“…This article explores artificial intelligence (AI) effects on data center electricity consumption by answering the question if and when AI growth may cause an electricity crisis. …”
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Prospects of integrative and hybrid approaches to assessing undeclared work by Cymbal О. І., Ostafiichuk Ya. V.

“…Preliminary estimates of the manifestation of undeclared work in Ukraine according to 2021 data are presented. The prospects for further scientific research in this area in the context of a lack of official information are primarily related to the use of statistical, register and secondary data and the improvement of the tools for their processing and integration.…”
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A comparative study of methods for dynamic survival analysis by Wieske K. de Swart, Marco Loog, Jesse H. Krijthe, Jesse H. Krijthe

“…While the tested longitudinal models often struggled to outperform simple benchmarks, neural network models showed some improvement in simulated scenarios with sufficiently informative longitudinal trajectories.DiscussionOur findings underscore the importance of aligning model selection and training strategies with the specific characteristics of the data and the target application, providing valuable insights that can inform future developments in dynamic survival analysis.…”
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Generate Text-to-SQL Queries Based on Sketch Filling by Yinpei Fu, Songtao Ye, Hongjie Fan

“…The Text-to-SQL task has significant application prospects in automating relational database query interfaces. …”
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CareNexus: Integrated solutions for Healthcare Communication by Alexandru Ioan BULZAN

“…Currently, many existing solutions do not provide secure data transfer, interoperability and predictive analytics, leading to inefficiencies in the healthcare system. …”
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Adaptive resource allocation and routing for integrated sensing and communications for wireless technologies by Manochandar Subramaniyan, Thiruppathy Kesavan Venkatasamy, Nithya Thotakuruchi Mathiyalagan, Md. Jakir Hossen

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Square Root Compression and Noise Effects in Digitally Transformed Images by Craig E. DeForest, Chris Lowder, Daniel B. Seaton, Matthew J. West

“…The method is suitable both for new experiments such as the upcoming PUNCH mission, and also for post facto application to existing data sets—even if the instrument noise properties are only loosely known. …”
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Research on Underwater Echo Generation Method Based on Small Sample by Chen-yu WANG, Li-wen LIU, Gang LIU, Bo LI, Yun-chuan YANG

“…Generative adversarial networks(GAN), a new artificial intelligence technology, have a wide range of applications in data enhancement, image generation, and other fields. …”
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Deep learning approach based on a patch residual for pediatric supracondylar subtle fracture detection by Qingming Ye, Zhilu Wang, Yi Lou, Yang Yang, Jue Hou, Zheng Liu, Weiguang Liu, Jiayu Li

“…Datasets from two different hospitals were used, with data augmentation techniques applied during both training and validation. …”
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Lightweight Insulator and Defect Detection Method Based on Improved YOLOv8 by Yanxing Liu, Xudong Li, Ruyu Qiao, Yu Chen, Xueliang Han, Agyemang Paul, Zhefu Wu

“…To address this issue, this paper proposed a lightweight drone-based insulator defect detection method (LDIDD) that integrates data augmentation and attention mechanisms based on YOLOv8. …”
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Deep Learning Model for Real‐Time Flood Forecasting in Fast‐Flowing Watershed by Fan Wang, Jie Mu, Cheng Zhang, Weiqi Wang, Wuxia Bi, Wenqing Lin, Dawei Zhang

“…The attention mechanism dynamically assigns weights to input data, significantly improving model performance, especially for larger catchments. …”
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On the Exact Asymptotic Error of the Kernel Estimator of the Conditional Hazard Function for Quasi-Associated Functional Variables by Abdelkader Rassoul, Abderrahmane Belguerna, Hamza Daoudi, Zouaoui Chikr Elmezouar, Fatimah Alshahrani

“…In addition to the theoretical derivations and a controlled simulation study that validates the asymptotic properties, this work includes a real-data application involving monthly unemployment rates in the United States from 1948 to 2025. …”
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