A Motion‐Sensing Integrated Soft Robot with Triboelectric Nanogenerator for Pipeline Inspection by Rui Chen, Huigang Wang, Haoji Wang, Huijiang Wang, Li Bai, Xinpei Ai, Lifu Liu, Zhihao Hu, Zean Yuan

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BDEKD: mitigating backdoor attacks in NLP models via ensemble knowledge distillation by Zijie Zhang, Xinyuan Miao, Chenyu Zhou, Chenming Shang, Xi Chen, Xianglong Kong, Wei Huang, Yi Cao

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Integrating the CNN Model with the Web for Indonesian Sign Language (BISINDO) Recognition by Enisda Libra Kelana, Muhammad Riko Anshori Prasetya, Mambang ., Muhammad Zulfadhilah

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A Workshop Example of Basic Design Education in Interior Architecture by Hatice Sena Azkur, Murat Oral

“…At the end of the workshop, students learned to embody the abstract concepts they learned during the year by creating a composition that considers functionality and aesthetics. …”
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Identification of hub genes and immune-related pathways in acute myeloid leukemia: insights from bioinformatics and experimental validation by Mingliang Shan, Mingliang Shan, Mingliang Shan, Li Xu, Wenzhe Yang, Shiguo Liu, Zhaoqing Cui

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Redefining Urban Traffic Dynamics With TCN-FL Driven Traffic Prediction and Control Strategies by K. M. Karthick Raghunath, C. Rohith Bhat, Venkatesan Vinoth Kumar, Velmurugan Athiyoor Kannan, T. R. Mahesh, K. Manikandan, N. Krishnamoorthy

“…This approach leverages the sophisticated functionalities of TCNs to evaluate and estimate traffic trends, such as congested phases, traffic flow, and ideal mobility routes. …”
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Enhancing Predictive Accuracy Under Data Scarcity: Modeling Molecular Interactions to Describe Sealing Material Compatibility with Bio-Hybrid Fuels by Lukas Boden, Faras Brumand-Poor, Linda Pleninger, Katharina Schmitz

“…One calculates the intermolecular distance using density functional theory. The other uses Hansen solubility parameters, representing an abstract modeling of intermolecular forces. …”
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Reliable Traffic Sign Recognition: Are We Finally There? by Muhammad Atif, Tommaso Zoppi, Andrea Ceccarelli, Andrea Bondavalli

“…We conclude that corruption and misclassification detectors can be used with DNNs to reduce misclassifications of TSR components and provide a more reliable functionality.…”
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Design and Application of an Energy Management System Based on Artificial Intelligence Technology by Hongye Lin, Xuanying Bai, Chun Li, Shenghan Xu, Haibin Xu, Zne-Jung Lee, Yun Lin, Qunshan Zhou, Jingxun Cai

“…The system is functionally complete, completing the process from data collection to visualization, the cloud platform’s construction, and finally a full energy management platform. …”
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Identification of ulcerative colitis diagnostic markers from differentially expressed genes shared with Hirschsprung disease by Wei Zuo, Zhengguang Wang

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RTide: Automating the Tidal Response Method by Thomas Monahan, Tianning Tang, Stephen Roberts, Thomas A. A. Adcock

“…Moreover, specialized approaches impose problem‐specific functional forms and rely on auxiliary data, limiting their applicability across different nonstationary tidal processes. …”
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A systematic literature review on the role of artificial intelligence in citizen science by Germain Abdul-Rahman, Andrej Zwitter, Noman Haleem

“…Our findings illustrate ML techniques, including deep learning, clustering algorithms, and convolutional neural networks, boost data annotation, classification, and validation in applications across various disciplines. …”
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Design of Intrusion Detection and Response Mechanism for Power Grid SCADA Based on Improved LSTM and FNN by Yu Huang, Liangyuan Su

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Accident-tolerant hybrid ceramics for fusion breeding blanket by Keisuke Mukai, Taehyun Hwang, Minoru Kusaba, Jae-Hwan Kim

“…Herein, we report machine-learning based prediction, synthesis, structure, and properties of chemically stabile two-phase Li–Be–X–O hybrid ceramics. …”
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MW‐SAM:Mangrove wetland remote sensing image segmentation network based on segment anything model by Yu Zhang, Xin Wang, Jingye Cai, Qun Yang

“…Abstract Mangrove wetlands are important ecosystems in tropical and subtropical coastal areas, providing wind and wave attenuation and embankment protection functions. However, mangrove wetlands worldwide are facing severe loss and degradation. …”
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Artificial intelligence as a transforming factor in motility disorders–automatic detection of motility patterns in high-resolution anorectal manometry by Miguel Mascarenhas, Francisco Mendes, Joana Mota, Tiago Ribeiro, Pedro Cardoso, Miguel Martins, Maria João Almeida, João Rala Cordeiro, João Ferreira, Guilherme Macedo, Cecilio Santander

“…Abstract High-resolution anorectal manometry (HR-ARM) is the gold standard for anorectal functional disorders’ evaluation, despite being limited by its accessibility and complex data analysis. …”
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Transcriptomic profiling of burn patients reveals key lactylation-related genes and their molecular mechanisms by Yang Li, Jizhong Ma, Yeping Wang, Weibin Zhan, Qian Wang

“…After preprocessing to remove batch effects and normalize the data, differential genes were screened. Functional enrichment, lactylation gene analysis, machine learning for key gene selection, immune cell infiltration analysis, gene correlation and GSEA analysis, patient clustering, and upstream regulatory factor prediction were performed using various R packages. …”
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An Efficient Explainability of Deep Models on Medical Images by Salim Khiat, Sidi Ahmed Mahmoudi, Sédrick Stassin, Lillia Boukerroui, Besma Senaï, Saïd Mahmoudi

“…Thanks to technological advancements and the emergence of Deep Learning (DL) techniques AI has brought new possibilities and significant improvements to medical practice. …”
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Indian SUMO traffic scenario-based misbehaviour detection dataset for connected vehicles by Umesh Bodkhe, Sudeep Tanwar

“…However, these BSMs are susceptible to various security attacks, which disrupt the collaborative functionality of ITS, potentially resulting in accidents or traffic congestion. …”
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Developmental differences in social information use under uncertainty: A neurocomputational approach by Lieke Hofmans, Wouter van den Bos

“…In this study, we compared the cognitive and neural processes underlying social learning in adolescents (12–18 years) and adults (22–45 years), focusing on how uncertainty influences social information use. …”
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