A multimodal deep reinforcement learning approach for IoT-driven adaptive scheduling and robustness optimization in global logistics networks by Yao Lu

“…We propose an integrated framework comprising a multimodal data fusion mechanism that synthesizes heterogeneous IoT sensor data, historical records, and contextual information; an adaptive deep reinforcement learning architecture that generates dynamic scheduling policies; and a multi-objective robust optimization method that balances operational efficiency with system resilience. …”
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LLM-Assisted Ontology Restriction Verification With Clustering-Based Description Generation by Seungyeon Kim, Donghyun Kim, Seokju Hwang, Kyong-Ho Lee, Kyunghwa Lee

“…An ontology is a scheme for structuring relationships between concepts in a domain, promoting data interoperability and system integration. However, poorly designed ontologies can lead to errors and performance issues. …”
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Application of MCDM for Estimating Student Performance in University English Translation Courses under IndetermSoft Set by Qin Xu

“…By integrating MCDM, universities can develop a more objective, data-driven framework for evaluating translation skills while ensuring fair and consistent grading practices. …”
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ANALYSIS OF THE NEED FOR DEVELOPMENT OF ISLAMIC E-MODULE IN MATRIX MATERIAL IN CLASS XI MA by Restu Prabowo, Maimunah Maimunah, Yenita Roza

“…The subjects of this study were mathematics teachers at MAN 3 Pekanbaru and class XI students at MAN 3 Pekanbaru. Analysis of research data using the Miles-Huberman Interactive Analysis which includes data reduction, data presentation, and making conclusions. …”
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Artificial intelligence in urban science: why does it matter? by Xinyue Ye, Tan Yigitcanlar, Michael Goodchild, Xiao Huang, Wenwen Li, Shih-Lung Shaw, Yanjie Fu, Wenjing Gong, Galen Newman

“…Urban science aims to explain, discover, understand, and generalize (EDUG) complex, human-centric systems, emphasizing societal context and sustainability. However, integrating artificial intelligence (AI) into urban science presents challenges, including data availability, ethical considerations, and the ‘black-box’ nature of many AI models. …”
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Speech emotion recognition using fine-tuned Wav2vec2.0 and neural controlled differential equations classifier. by Ni Wang, Danyu Yang

“…Due to the characteristics of speech emotion recognition dataset, which often have small data volumes and high complexity, effectively integrating and modeling audio data remains a significant challenge in this field. …”
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The intelligent evaluation model of the English humanistic landscape in agricultural industrial parks by the SPEAKING model: From the perspective of fish-vegetable symbiosis in new... by Yiping He, Mingyue Gao, Luyao Wang

“…The proposed optimization model integrates linguistic theory with deep learning techniques, providing a detailed analysis of contextual translation elements. …”
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Sentiment Analysis on the PT Pertamina Corruption Case using IndoBERT and RCNN Methods by Wildan Jaya Kusoema, Ichsan Ibrahim

“…The dataset consists of 10,078 YouTube comments collected via the YouTube Data API, which were then preprocessed, automatically labeled using an Indonesian-language RoBERTa model, and balanced through class distribution techniques including undersampling and contextual embedding-based augmentation with IndoBERT. …”
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Platform Digital sebagai Media Pembelajaran Kewirausahaan di Sekolah dan Perguruan Tinggi by Tuty Tuty, Hasanuddin Sirait, Edison Ulung Panggabean Simanihuruk

“…In the era of the industrial revolution 4.0 and the transformation towards society 5.0, the integration of information technology is unavoidable in designing a learning system that is relevant and adaptive to the needs of the times. …”
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Étudier l’appropriation des TIC à l’école en combinant l’examen des usages et des représentations sociales des utilisateurs. by Emmanuel BÉCHÉ

“…This approach helps renew perspectives on social integration of ICTs, and is based on a double theoretical framework: the approach of appropriation and that of the central core. …”
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PC3D-YOLO: An Enhanced Multi-Scale Network for Crack Detection in Precast Concrete Components by Zichun Kang, Kedi Gu, Andrew Yin Hu, Haonan Du, Qingyang Gu, Yang Jiang, Wenxia Gan

“…Our methodology involves three key innovations: (1) the Multi-Dilation Spatial-Channel Fusion with Shuffling (MSFS) module, employing dilated convolutions and channel shuffling to enable global feature fusion, replaces the C3K2 bottleneck module to enhance long-distance dependency capture; (2) the AIFI_M2SA module substitutes the conventional SPPF to mitigate its restricted receptive field and information loss, incorporating multi-scale attention for improved near-far contextual integration; (3) a redesigned neck network (MSCD-Net) preserves rich contextual information across all feature scales. …”
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Network analysis of the food-energy-water nexus in the Gulf of Mexico (America) region by Casey L. Steadman, Shaun Williams, Andrew Eiswerth

“…Furthermore, we showcase how integrating and embedding this qualitative and quantitative data into an ArcGIS StoryMap allows for interactive and layered communication of FEW tension points, regional hotspots, and key players, facilitating the ability for stakeholders to obtain and build a multi-scale, holistic perspective of FEW nexus dynamics. …”
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Information Systems Quality and Corporate Sustainability: Unpacking the Interplay of Financial Reporting, Artificial Intelligence, and Green Corporate Governance by Nidal Neiroukh, Dilber Çağlar

“…Empirical data were collected from 257 accounting and finance professionals working in Jordanian commercial banks, providing a robust setting where digital infrastructure and sustainability imperatives converge. …”
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MARSHA: multi-agent RAG system for hazard adaptation by Yangxinyu Xie, Bowen Jiang, Tanwi Mallick, Joshua Bergerson, John K. Hutchison, Duane R. Verner, Jordan Branham, M. Ross Alexander, Robert B. Ross, Yan Feng, Leslie-Anne Levy, Weijie J. Su, Camillo J. Taylor

“…The architecture employs a user-centered, multi-agent design to deliver tailored risk insights across diverse stakeholder groups. By integrating natural hazard and extreme weather projection data, observational datasets, and scientific literature through an RAG framework, the system ensures both the accuracy and contextual relevance of the information it provides. …”
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Self-Efficacy and Push-Pull Factors in International Student Mobility: A Study of Chinese Students’ Decision to Study in Malaysia by Meng Na, Mazzlida Mat Deli, Ummu Ajirah Abdul Rauf

“…Using a cross-sectional, quantitative design, data were collected from a stratified sample of 377 Chinese students, enabling robust analysis of psychological and contextual factors. …”
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Enhancing Water Resources Management with Open-Source Remote Sensing: Flood Mapping and Climate Change Insights on Kupa River case area by O. Bjelotomić Oršulić, S. Šamanović, M. Kovilić, D. Markovinović

“…This study focuses on the Kupa River basin in Croatia, a flood-prone region, and presents an integrated approach for flood mapping and climate impact assessment using open-source Earth observation (EO) data and free tools. …”
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Applying Neutrosophic Natural Language Processing to Analyze Complex Phenomena in Interdisciplinary Contexts by Diego Fernando Coka Flores, Ignacio Fernando Barcos Arias, María Elena Infante Miranda, Omar Mar Cornelio

“…This approach becomes particularly relevant in an increasingly digitalized world, where human-machine interaction requires a deeper understanding of linguistic and contextual nuances. Despite advances in conventional NLP, many existing methodologies lack tools to effectively manage undefined or contradictory elements present in real data. …”
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Sustainability-driven marketing education: assessing the role of perceived marketplace influence on consumption patterns in private Egyptian universities by Sara Mohamed Abdelaziz El-Menawy

“…Abstract He dynamic field of marketing plays a pivotal role in shaping consumer behavior and influencing product choices. Integrating sustainability into marketing education can provide students with a deeper understanding of sustainable consumption and its broader implications for the marketplace. …”
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GNN-RMNet: Leveraging graph neural networks and GPS analytics for driver behavior and route optimization in logistics. by Eman Ali Aldhahri, Abdulwahab Ali Almazroi, Monagi Hassan Alkinani, Mohammed Alqarni, Elham Abdullah Alghamdi, Nasir Ayub

“…Computational feasibility, anomaly scoring interpretability, and future deployment concerns, including cybersecurity, data privacy, and multimodal sensor integration, are all covered. …”
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Trust in Artificial Intelligence–Based Clinical Decision Support Systems Among Health Care Workers: Systematic Review by Hein Minn Tun, Hanif Abdul Rahman, Lin Naing, Owais Ahmed Malik

“…Despite these opportunities, trust in these tools remains a critical factor for their successful integration into practice. Existing research lacks synthesized insights and actionable recommendations to guide the development of AI-CDSSs that foster trust among health care workers. …”
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