Emerging Biomarker Potential of Extracellular Vesicle-Enclosed MicroRNAs for Liver Fibrosis Detection by Sharmila Fagoonee, Valeria Menchise, Daniela Delli Castelli, Stefania Bruno

“…Among the diverse cargoes within EVs, microRNAs (miRNAs) have emerged as particularly promising due to their stability, disease-specific expression patterns, and involvement in fibrogenic signaling. …”
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An Improved Kernel Entropy Component Analysis for Damage Detection Under Environmental and Operational Variations by Shuigen Hu, Jian Yang, Jiezhong Huang, Dongsheng Li, Cheng Li

“…Environmental effects often trigger false alarms in vibration-based damage detection methods used for structural health monitoring (SHM). …”
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Zebrafish transgenic line huORFZ is an effective living bioindicator for detecting environmental toxicants. by Hung-Chieh Lee, Po-Nien Lu, Hui-Lan Huang, Chien Chu, Hong-Ping Li, Huai-Jen Tsai

“…When huORFZ embryos were kept under normal condition, no leaked GFP signal could be detected. When treated with hazardous chemicals, including heavy metals and endocrine-disrupting chemicals near their sublethal concentrations (LC50), huORFZ embryos exhibited different tissue-specific GFP expression patterns. …”
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Smart intrusion detection model to identify unknown attacks for improved road safety and management by Faisal Alshammari, Abdullah Alsaleh

“…ACIDS integrates convolutional neural networks (CNN) for hierarchical feature extraction, the synthetic minority over-sampling technique (SMOTE) to address class imbalance and an open-set classification framework to detect novel attack patterns. The model was evaluated on the AWID dataset, achieving an accuracy of 94%, a perfect detection rate of 100% and a low false alarm rate of 3%. …”
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Ambient Intelligence to Detect Misuse of Electricity Consumption Based on IoT Using Blockchain Technology by Soiful Hadi, Wahyul Amien Syafei, Adi Wibowo

“…Electricity abuse and energy inefficiencies are still open issues in smart grid systems, demanding high-performance anomaly detection mechanisms. In this paper, we propose an IoT-enabled electricity monitoring system that combines machine learning (LightGBM) and blockchain (Polygon network) for real-time anomaly detection, secure data storage, and transparent energy tracking. …”
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Looming Detection in Complex Dynamic Visual Scenes by Interneuronal Coordination of Motion and Feature Pathways by Bo Gu, Jianfeng Feng, Zhuoyi Song

“…Specifically, a multiplicative interneuron operation enhances looming signal patterns and reduces background interferences, generalizing to more complex scenarios, such as AirSim 3D environments and real‐world situations. …”
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Deep Learning-Based Anomaly Detection in Occupational Accident Data Using Fractional Dimensions by Ömer Akgüller, Larissa M. Batrancea, Mehmet Ali Balcı, Gökhan Tuna, Anca Nichita

“…By applying fractional dimension methods—Box Counting, Hall–Wood, Genton, and Wavelet—we aim to uncover hidden risks and complex patterns that traditional time series analyses often overlook. …”
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DETECTING URBAN SLUMS IN DKI JAKARTA: A KOTAKU DATA APPROACH WITH ENSEMBLE METHODS by Muhammad Muawwad MS, Rani Nooraeni, Ananda Galuh Intan Prasetya

“…This modeling will look for patterns or structures from the data that has been provided so that the detection results become more objective. …”
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Federal Deep Learning Approach of Intrusion Detection System for In-Vehicle Communication Network Security by In-Seop Na, Anandakumar Haldorai, Nithesh Naik

“…This approach is commonly employed for spatial extraction of features, permitted the model to detect patterns that may indicate possible attacks. …”
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Ocean color anomaly detection to estimate surface Calanus finmarchicus concentration in the Gulf of Maine by Rebekah Shunmugapandi, Cait L. McCarry, David McKee, David McKee, Catherine Mitchell

“…Thus, observing C. finmarchicus on a Gulf-wide scale via satellite could be beneficial for understanding changes in the migration patterns of the NARW. This study investigated the application of ocean color remote sensing to detect the surface population levels of C. finmarchicus in the GoM. …”
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A computational framework for detecting inter-tissue gene-expression coordination changes with aging by Shaked Briller, Gil Ben David, Yam Amir, Gil Atzmon, Judith Somekh

“…To bridge this gap, we propose a novel computational framework to identify the effect of aging on the coordinated patterns of gene-expression across multiple tissues. …”
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Optimized PCF architectures for THz detection of aquatic pathogens: Enhancing water quality monitoring. by Diponkar Kundu, Nasir Uddin Badhon, A H M Iftekharul Ferdous, Md Safiul Islam, Md Galib Hasan, Khalid Sifulla Noor, Most Momtahina Bani

“…By improving scattering, structural alterations can help identify bacteria by their characteristic scattering patterns. These improvements improve the sensor's trace bacteria detection. …”
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Vision Gaze-Driven Micro-Electro-Mechanical Systems Light Detection and Ranging Optimization by Shaotang Wei, Bo Gao, Junya Wang, Zheng You

“…However, conventional Lissajous scanning patterns, despite their design flexibility, are increasingly limited in meeting the growing demands for image quality. …”
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Development of a Tool for Comprehensive Balance Assessment Based on Artificial Intelligence and Anomaly Detection by Márcio Fagundes Goethel, Klaus Magno Becker, Franciele Carvalho Santos Parolini, Ulysses Fernandes Ervilha, João Paulo Vilas-Boas

“…Existing methods of balance assessment often lack the sensitivity and specificity needed to identify subtle deviations from normal patterns, hindering early intervention. To address this gap, we introduced a novel artificial intelligence-based tool that leverages anomaly detection to provide a comprehensive assessment of balance performance across all age groups. …”
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Current Measurement and Fault Detection Based on the Non-Invasive Smart Internet of Things Technique by Abhrodeep Chanda, Abhishek Gudipalli

“…Graphing the consumption of daily essentials like electricity and water is crucial for minimising waste and estimating per-user usage in light of the modern-day data acquisition rally for a better understanding of customer consumption and patterns. Traditional methods of electrical measurement require the involvement of a trained professional, while more advanced alternatives can be prohibitively expensive or offer limited customisation options. …”
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Mobile applications for skin cancer detection are vulnerable to physical camera-based adversarial attacks by Junsei Oda, Kazuhiro Takemoto

“…Through digital experiments with various DNN architectures trained on a publicly available skin lesion dataset, we first demonstrate that camera-based adversarial patterns can achieve high transferability across different models. …”
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Multi-View Cluster Structure Guided One-Class BLS-Autoencoder for Intrusion Detection by Qifan Yang, Yu-Ang Chen, Yifan Shi

“…Intrusion detection systems are crucial for cybersecurity applications. …”
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L2R-MLP: a multilabel classification scheme for the detection of DNS tunneling by Emmanuel Oluwatobi Asani, Mojiire Oluwaseun Ayoola, Emmanuel Tunbosun Aderemi, Victoria Oluwaseyi Adedayo-Ajayi, Joyce A. Ayoola, Oluwatobi Noah Akande, Jide Kehinde Adeniyi, Oluwambo Tolulope Olowe

“…L2 regularization in the MLP classifier's hidden layers enhances pattern recognition during training, effectively countering the risk of overfitting. …”
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Examining the role of novelty detection in 20- and 40-Hz auditory steady-state responses by Kentaro Takai, Shunsuke Sugiyama, Koji Inui, Yuka Ikegame, Hirohito Yano, Jun Shinoda, Makoto Nishihara, Kazutaka Ohi, Toshiki Shioiri

“…This frequency-specific modulation pattern may provide a novel perspective for understanding ASSR abnormalities in psychiatric disorders.…”
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Molecular detection and characterization of human bocavirus in environmental waters in Thailand from 2020 to 2022 by Kattareeya Kumthip, Pattara Khamrin, Arpaporn Yodmeeklin, Hiroshi Ushijima, Niwat Maneekarn

“…No HBoV was detected in environmental reservoir water samples. …”
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