Application of Machine Learning Models in Social Sciences: Managing Nonlinear Relationships by Theodoros Kyriazos, Mary Poga

“…Machine learning models, including decision trees, neural networks, random forests, and support vector machines, provide a flexible framework for capturing these intricate patterns. …”
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Zero Knowledge Proof Solutions to Linkability Problems in Blockchain-Based Collaboration Systems by Chibuzor Udokwu

“…However, linkability problems exist in blockchain-based collaboration platforms due to privacy leakages, which, when exploited, will result in tracing transaction patterns to users and exposing collaborating organizations and parties. …”
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Lactylation-related gene signatures identify glioma molecular subtypes with prognostic, immunological, and therapeutic implications by Yanliang Tang, Xiaoli Zhang, Xiaofei Tang, Ye Yuan, Wenwen Wang

“…IntroductionLactic acid is a by-product of energy metabolism and a signaling molecule that influences tumor progression by regulating immune cell function, angiogenesis, and epigenetic modifications.MethodsThis study analyzed data from the TCGA database on gliomas to systematically elucidate the expression patterns, prognostic value, and functional regulatory networks of lactylation-related genes.ResultsIn this study, 17 lactylation-related prognostic genes were identified through the analysis of TCGA-GBM data. …”
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Advancing sustainable investing: A deep learning model for multi-source stock prediction by Hongxuan Yu, Tingting Zhang, Murat Kizildag

“…This multifaceted approach is operationalized within a predictive model underpinned by long short-term memory (LSTM) networks and an attention framework geared toward deciphering the intricate, non-linear patterns characteristic of stock market time series data. …”
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Exploring multi-scale spatial relationship between built environment and public bicycle ridership: A case study in Nanjing by Cheng Lyu, Xinhua Wu, Yang Liu, Zhiyuan Liu, Xun Yang

“…The modeling results demonstrate different influencing patterns between traditional downtown areas and newly built-up areas, especially for the density of population, road network, parking space, and various points of interest.…”
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Augmenting TikTok shop adoption: The mediating role of Key Opinion Consumers (KOCs) in live streaming, video content, and Artificial Intelligence (AI) recommendations by Minh Thi Hong Le, Hieu Ngoc Minh Pham, Ly Thi Truc Nguyen, Thuy Thi Xuan Le, Suong Thi Mai Nguyen

“…There is a growing trend of social media networks transitioning into channels primarily focused on providing entertainment content. …”
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Devanagari Character Recognition: A Comprehensive Literature Review by Sandhya Arora, Latesh Malik, Sonakshi Goyal, Debotosh Bhattacharjee, Mita Nasipuri, Ondrej Krejcar

“…Advances introduced structural and statistical techniques, improving accuracy by analyzing geometric properties and patterns. The advent of machine learning, particularly deep learning, revolutionized HDCR with convolutional neural networks (CNNs) and recurrent neural networks (RNNs), significantly enhancing performance. …”
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ECGConVT: A Hybrid CNN and Vision Transformer Model for Enhanced 12-Lead ECG Images Classification by Mudassar Khalid, Charnchai Pluempitiwiriyawej, Abdulkadhem A. Abdulkadhem, Imran Afzal, Tien Truong

“…We propose ECGConVT framework that combines Convolutional Neural Network (CNN) module for extracting local features, and Vision Transformer (ViT) module for capturing global features. …”
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Design of a Novel Fractional Whale Optimization-Enhanced Support Vector Regression (FWOA-SVR) Model for Accurate Solar Energy Forecasting by Abdul Wadood, Hani Albalawi, Aadel Mohammed Alatwi, Hafeez Anwar, Tariq Ali

“…The FWOA-SVR model is comprehensively evaluated against traditional SVR, Long Short-Term Memory (LSTM), and Backpropagation Neural Network (BPNN) models using training, validation, and testing datasets. …”
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Playing and Listening to Tailor-Made Notched Music: Cortical Plasticity Induced by Unimodal and Multimodal Training in Tinnitus Patients by Janna Pape, Evangelos Paraskevopoulos, Maximilian Bruchmann, Andreas Wollbrink, Claudia Rudack, Christo Pantev

“…Taking into account the fact that uni- and multisensory trainings induce different patterns of cortical plasticity we hypothesized that these two protocols will have different affects. …”
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Optimizing Bearing Fault Diagnosis in Rotating Electrical Machines Using Deep Learning and Frequency Domain Features by Eduardo Quiles-Cucarella, Alejandro García-Bádenas, Ignacio Agustí-Mercader, Guillermo Escrivá-Escrivá

“…Scalograms proved particularly effective in identifying distinct vibration patterns for faults in bearings’ inner and outer races. …”
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An Integrated Spatial-Spectral Denoising Framework for Robust Electrically Evoked Compound Action Potential Enhancement and Auditory Parameter Estimation by Fan-Jie Kung

“…The electrically evoked compound action potential (ECAP) is a crucial physiological signal used by clinicians to evaluate auditory nerve functionality. Clean ECAP recordings help to accurately estimate auditory neural activity patterns and ECAP magnitudes, particularly through the panoramic ECAP (PECAP) framework. …”
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ITT: Long-Range Spatial Dependencies for Sea Ice Semantic Segmentation by Javier Noa Turnes, Mingzhe Jiang, Saeid Taleghanidoozdoozan, Linlin Xu, David A. Clausi

“…In such a case, prediction maps are less sensitive to nonstationary patterns, more detailed on ice/water boundaries, and less uncertain separating the classes.…”
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Unmasking Nuances Affecting Loneliness: Using Digital Behavioural Markers to Understand Social and Emotional Loneliness in College Students by Malik Muhammad Qirtas, Evi Zafeiridi, Eleanor Bantry White, Dirk Pesch

“…Our objectives were to (1) identify behavioural patterns linked to social and emotional loneliness, (2) evaluate the predictive power of these patterns for classifying loneliness types, and (3) determine the most significant digital markers used by machine learning models in loneliness prediction. …”
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PathCare: Integrating Clinical Pathway Information to Enable Healthcare Prediction at the Neuron Level by Dehao Sui, Lei Gu, Chaohe Zhang, Kaiwei Yang, Xiaocui Li, Liantao Ma, Ling Wang, Wen Tang

“…PathCare employs an auxiliary sub-network that models future visit patterns to capture temporal health progression, coupled with a neuron-level filtering gate that adaptively selects relevant features while filtering out redundant information. …”
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Enhancing Smart and Zero-Carbon Cities Through a Hybrid CNN-LSTM Algorithm for Sustainable AI-Driven Solar Power Forecasting (SAI-SPF) by Haytham Elmousalami, Felix Kin Peng Hui, Aljawharah A. Alnaser

“…This model excels at capturing complex spatiotemporal patterns in solar data while maintaining low computational CO₂ emissions, supporting sustainable AI practices. …”
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Study on the Influence of Strip-Shaped Urban Rail Transit Stations on Urban Vitality Distribution Based on Point of Interest Data by Yuchen Wu, Min’an Yang, Xin Li, Xu Wei, Yongsheng Qian

“…Against the backdrop of the newly constructed urban rail transit network and the ongoing urbanization of strip-shaped cities, this study investigates the distribution and evolution of commercial points of interest (POIs) in the central urban area of Lanzhou. …”
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Multi-Threshold Remote Sensing Image Segmentation Based on Improved Black-Winged Kite Algorithm by Yi Zhang, Xinyu Liu, Wei Sun, Tianshu You, Xin Qi

“…The proposed algorithm significantly enhances the capability of complex remote sensing scenarios by systematic improvements to core algorithm components, including population initialization strategy, attack behavior patterns, migration mechanisms, and opposition-based learning strategy. …”
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Sara Detection on Social Media Using Deep Learning Algorithm Development by M. Khairul Anam, Lucky Lhaura Van FC, Hamdani Hamdani, Rahmaddeni Rahmaddeni, Junadhi Junadhi, Muhammad Bambang Firdaus, Irwanda Syahputra, Yuda Irawan

“…This study develops a deep learning model using Convolutional Neural Network (CNN) and Bidirectional Long Short-Term Memory (BiLSTM) to detect SARA-related comments on Twitter. …”
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Past Expansion and Future Prediction of Land Use and Land Cover of Sofia City by D. Pavlov, D. Pavlov, L. L. Vitanova, D. Petrova-Antonova

“…This study investigates the morphological changes in Sofia’s LULC from 1990 to 2018, predicts future LULC patterns, and evaluates the effectiveness of Cellular Automata-Artificial Neural Network (CA-ANN) models for LULC forecasting. …”
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