Anomaly detection solutions: The dynamic loss approach in VAE for manufacturing and IoT environment by Praveen Vijai, Bagavathi Sivakumar P

“…By leveraging the bidirectional capability of BiLSTM in the encoder and decoder, the model captures comprehensive temporal dependencies, enabling more effective anomaly detection. The innovative dynamic loss function integrates a tempering index mechanism with tuneable parameters (α and γ), which assigns higher weights to underrepresented classes and down-weights easily classified samples. …”
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Early Detection and Dynamic Grading of Sweet Potato Scab Based on Hyperspectral Imaging by Xiaosong Ning, Qiyao Xia, Fajiang Tang, Ziyu Ding, Xiawei Ding, Fanguo Zeng, Zhangying Wang, Hongda Zou, Xuejun Yue, Lifei Huang

“…Data preprocessing included denoising, region of interest (ROI) selection, and average spectrum extraction, followed by dimensionality reduction using principal component analysis (PCA) and random forest (RF) feature selection. A novel dynamic grading method based on spectral-time data was introduced to classify the early stages of the disease, including the early latent and early mild periods. …”
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On the Dynamism of Paintings Through the Distribution of Edge Directions by Adrien Deliege, Maria Giulia Dondero, Enzo D’Armenio

“…While much of the focus has been on classifying styles or identifying objects, the analysis of more abstract concepts, such as the perception of motion or dynamism in still images, remains largely unexplored. …”
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Toward a fair, gender-debiased classifier for the diagnosis of attention deficit/hyperactivity disorder- a Machine-Learning based classification study by Susanne Neufang, Feifei Li, Atae Akhrif, Oya D. Beyan

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Deep Learning-Enabled Dynamic Model for Nutrient Status Detection of Aquaponically Grown Plants by Mohamed Farag Taha, Hanping Mao, Samar Mousa, Lei Zhou, Yafei Wang, Gamal Elmasry, Salim Al-Rejaie, Abdallah Elshawadfy Elwakeel, Yazhou Wei, Zhengjun Qiu

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Dynamic Graph Attention Network with Sentiment Analysis for Fake News Detection in Social Networks by Fatemeh Jokar

“…In this study, we propose a novel approach, the Dynamic Graph Attention Network (DynGAT), for effective fake news detection. …”
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SH-SDS: a new static-dynamic strategy for substation host security detection by Yang Diao, Hui Chen, Wei Liu, Abdur Rasool

“…This article proposes a new static-dynamic strategy for host security detection by implementing a system prototype and evaluating its detection accuracy. …”
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Unified Dynamic Dictionary and Projection Optimization With Full-Rank Representation for Hyperspectral Anomaly Detection by Hongran Li, Chao Wei, Yizhou Yang, Zhaoman Zhong, Ming Xu, Dongqing Yuan

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Sysmon event logs for machine learning-based malware detection by Riki Mi’roj Achmad, Dyah Putri Nariswari, Baskoro Adi Pratomo, Hudan Studiawan

“…Such information can be used to classify malicious or benign software. In this research, we employed various machine learning algorithms, both classification (supervised learning) and outlier detection (unsupervised learning) approaches, such as Naive Bayes, Decision Tree, Random Forest, Support Vector Machine (SVM) for supervised learning, and Isolation Forest, Local Outlier Factor (LOF), and One-Class SVM for unsupervised learning. …”
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Detecting Long-Term Spatiotemporal Dynamics of Urban Green Spaces with Training Sample Migration Method by Mengyao Wang, Pan Li, Chunyu Wang, Wei Chen, Zhongen Niu, Na Zeng, Xingxing Han, Xinchao Sun

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Parkinson disease detection based on in-air dynamics feature extraction and selection using machine learning by Jungpil Shin, Abu Saleh Musa Miah, Koki Hirooka, Md. Al Mehedi Hasan, Md. Maniruzzaman

“…To overcome this problem, we proposed an optimized PD detection methodology that incorporates newly developed dynamic kinematic features and machine learning (ML)—based techniques to capture movement dynamics during handwriting tasks. …”
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Autonomous Sewer Robot: A Laser Marker-Based Detection System by Vygantas Ušinskis, Andrius Dzedzickis, Justas Nekrašas, Vytautas Bučinskas

“…For this reason, in this study, a cost-efficient laser marker-based obstacle detection and measurement system is designed and tested for future use in autonomous sewer robot local path generation. …”
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A Crowd Density Detection Algorithm for Tourist Attractions Based on Monitoring Video Dynamic Information Analysis by Lina Li

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Utilizing Inertial Measurement Units for Detecting Dynamic Stability Variations in a Multi-Condition Gait Experiment by Yasuhirio Akiyama, Kyogo Kazumura, Shogo Okamoto, Yoji Yamada

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Automated seizure detection in epilepsy using a novel dynamic temporal-spatial graph attention network by Kunxian Yan, Xiangyu Luo, Lei Ye, Wenping Geng, Jian He, Jiliang Mu, Xiaojuan Hou, Xiang Zan, Jiuhong Ma, Fei Li, Le Zhang, Xiujian Chou

“…The multi-head attention mechanism and dynamic graph generation strategy effectively resolve the temporal variability of functional connectivity. …”
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Adopting Graph Neural Networks to Understand and Reason About Dynamic Driving Scenarios by Peng Su, Conglei Xiang, Dejiu Chen

“…Current DNN typically detect objects by analyzing and classifying unstructured data (e.g., image data), providing critical information for ADS planning and decision-making. …”
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An automatic approach to detect skin cancer utilizing active infrared thermography by Ricardo F. Soto, Sebastián E. Godoy

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Malware Detection and Classification in Android Application Using Simhash-Based Feature Extraction and Machine Learning by Wafaa Al-Kahla, Eyad Taqieddin, Ahmed S. Shatnawi, Rami Al-Ouran

“…This paper presents a method for detecting and classifying malware that uses static and dynamic features. …”
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Toward a Recognition System for Mexican Sign Language: Arm Movement Detection by Gabriela Hilario-Acuapan, Keny Ordaz-Hernández, Mario Castelán, Ismael Lopez-Juarez

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Adaptive multi classifier traffic data interpolation model based on information entropy by Yunkai ZHANG, Jin GAO, Qing LI, Xu WANG

“…First,information entropy representing "disorder degree" was introduced to evaluate prediction quality and determine multi-classifier weights. Second,a dynamic adaptive weighting method was designed to resolve the problem of different classifiers being suitable for various samples caused by device heterogeneity. …”
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