Flower Automata Pattern-Based Discrimination of Fibromyalgia From Control Subjects Using Fusion of Sleep EEG and ECG Signals by Prabal Datta Barua, Makiko Kobayashi, Sengul Dogan, Mehmet Baygin, Turker Tuncer, Jose Kunnel Paul, Thomas Iype, U. R. Acharya

“…This study introduces a novel, multimodal fibromyalgia detection system developed by the fusion of EEG and ECG signals recorded during sleep stages 2 and 3. …”
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Integrating electrocardiogram and fundus images for early detection of cardiovascular diseases by K. A. Muthukumar, Dhruva Nandi, Priya Ranjan, Krithika Ramachandran, Shiny PJ, Anirban Ghosh, Ashwini M, Aiswaryah Radhakrishnan, V. E. Dhandapani, Rajiv Janardhanan

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The Induction and Detection Method of Angry Driving: Evidences from EEG and Physiological Signals by Lixin Yan, Ping Wan, Lingqiao Qin, Dunyao Zhu

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New Observational Recipes for Measuring Dynamical States of Galaxy Clusters by Hyowon Kim, Rory Smith, Jongwan Ko, Jong-Ho Shinn, Kyungwon Chun, Jihye Shin, Jaewon Yoo

“…Therefore, we attempt to derive improved recipes for classifying the dynamical states of clusters in observations using cosmological simulations. …”
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Dynamics of hormonal and immunological parameters in patients with acute pleural empyema by V.V. Tkachenko, V.V. Boyko, V.V. Kritsak, A.L. Sochnieva, D.V. Minukhin, A.O. Merkulov, V.G. Hroma, V.V. Ponomarova, O.P. Sharmazanova

“…Assessment of blood cytokines in patients with acute pleural empyema allows detecting hypercytokinemia with an increase in pro-inflammatory cytokines. …”
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Authenticity at Risk: Key Factors in the Generation and Detection of Audio Deepfakes by Alba Martínez-Serrano, Claudia Montero-Ramírez, Carmen Peláez-Moreno

“…The results indicate that the complexity of the acoustic scene affects both the generation and detection of deepfakes: classifiers, particularly the linear SVM, are more effective in complex acoustic environments, suggesting that simpler acoustic environments may facilitate the generation of more realistic deepfakes and, in turn, make it more difficult for classifiers to detect them. …”
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YOLO-WAD for Small-Defect Detection Boost in Photovoltaic Modules by Yin Wang, Wang Yun, Gang Xie, Zhicheng Zhao

“…Finally, the DyHead (dynamic head) detection head is introduced, which enables comprehensive scale, spatial, and channel awareness. …”
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Deep Learning-Based Detection and Identification Method for Sports Health Video Dissemination by Yajun Pang

“…All video frames are then fused with similar joint features at the temporal level to extract motion key points in the time scale, and human posture prediction is achieved by fitting between the motion features and the dynamic database. To show the high efficiency of our method, we select three main databases for validation, and the results prove that AAEN outperforms by 13.96%, 16.90%, and 15.10% in precision, F1 score, and recall compared to the SOTA in sports health video detection and recognition. …”
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Automated detection of wolf howls using audio spectrogram transformers by Nikolai Makarov, Andrey Savchenko, Iuliia Zemtsova, Maxim Novopoltsev, Andrey Poyarkov, Anastasia Viricheva, Maria Chistopolova, Alexander Nikol’skii, Jose A. Hernandez-Blanco

“…However, the species’ complex social behavior, spatial dynamics, and expansive habitats make monitoring and population assessments across large areas particularly challenging. …”
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Land use dynamics in Sagara River Catchment in Dodoma Region, Tanzania by Dominico Benedicto Kilemo

“…Landsat 8 layers were used as input data for change detection and quantification of vegetation cover and other land uses at Sagara hills, while field data and higher resolution Google Earth Pro Historical images were used to create reference data for training the classifier and accuracy assessment. …”
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Violence Detection From Industrial Surveillance Videos Using Deep Learning by Hamza Khan, Xiaohong Yuan, Letu Qingge, Kaushik Roy

“…The integration of Internet of Things (IoT) technology in industrial surveillance and the proliferation of surveillance cameras in smart cities has empowered the development of real-time activity recognition and violence detection systems, respectively. These systems are crucial in enhancing safety measures, improving operational efficiency, reducing accident risks, and providing automatic monitoring in dynamic environments. …”
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Human–Robot Interaction through Dynamic Movement Recognition for Agricultural Environments by Vasileios Moysiadis, Lefteris Benos, George Karras, Dimitrios Kateris, Andrea Peruzzi, Remigio Berruto, Elpiniki Papageorgiou, Dionysis Bochtis

“…This study aims to enhance natural communication between humans and robots in such challenging conditions by converting the detection of a range of dynamic human movements into specific robot actions. …”
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Disinformation in the Digital Age: Climate Change, Media Dynamics, and Strategies for Resilience by Andrea Tomassi, Andrea Falegnami, Elpidio Romano

“…Our findings indicate that social media algorithms and user dynamics can amplify false scientific claims, as seen in case studies of viral misinformation campaigns on vaccines and climate change. …”
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Understanding the evolutionary dynamics of Monkeypox virus through less explored pathways by Alessandra Mistral De Pascali, Ludovica Ingletto, Martina Brandolini, Ettore Rocchi, Martina Tarozzi, Maria Elena Turba, Rita Casadio, Fabio Gentilini, Giulia Gatti, Laura Dionisi, Claudia Colosimo, Massimiliano Guerra, Silvia Zannoli, Giorgio Dirani, Maria Sofia Montanari, Anna Marzucco, Laura Grumiro, Giada Rossini, Tiziana Lazzarotto, Monica Cricca, Gastone Castellani, Vittorio Sambri, Alessandra Scagliarini

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Trace explosive detection based on fluorescence sensing and similarity measures for time series classification by Weize Shi, Yabin Wang, Piaotong Liu, Xin Li

“…In addition, the time series similarity measures, including the Pearson correlation coefficient, Spearman correlation coefficient, Dynamic Time Warping (DTW) distance, and Derivative Dynamic Time Warping (DDTW) distance, were used to classify the detection results. …”
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Leak detection and localization in water distribution systems via multilayer networks by Daniel Barros, Ariele Zanfei, Andrea Menapace, Gustavo Meirelles, Manuel Herrera, Bruno Brentan

“…The detection process involves correlating monitored data to create a temporal graph and classify vertices. …”
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Optimized driver fatigue detection method using multimodal neural networks by Shengli Cao, Peihua Feng, Wei Kang, Zeyi Chen, Bo Wang

“…Abstract Driver fatigue is a significant factor contributing to road accidents, highlighting the need for precise and reliable detection systems. This study introduces a comprehensive approach using multimodal neural networks, leveraging the DROZY dataset, which includes physiological and facial data collected under sleep deprivation conditions. …”
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Network traffic detection based on multi-resolution low rank model by Guo-zhen CHENG, Dong-nian CHENG, Ding-jiu YU

“…Because network traffic was usually characterized by its higher-dimensional features,related detectors and classifiers for identifying traffic anomalies were suffering the increased complexity.Several key observations given by existing studies showed that network anomalies were distributed typically in a sparse way,and each of anomalies was essentially characterized by its lower-dimensional features.Based on this important finding,a novel model detecting traffic anomalies—multi-resolution low rank (MRLR) was developed.The proposed MRLR allowed us to dynamically filter the “proper”feature sets and then to classify anomalies accurately.The validation shows that MRLR can accurately reduce the dimensions of flow features to lower than 10%,on the other hand,the complexity of MRLR-classifiers is O(n).…”
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The Dynamics of Platelet Content in Patients with Diffuse Peritonitis as a Predictor of Disease Outcome by B. V. Sigua, P. A. Kotkov, S. V. Petrov, V. P. Zemlyanoy

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Detecting expert’s eye using a multiple-kernel Relevance Vector Machine by Giuseppe Boccignone, Mario Ferraro, Sofia Crespi, Carlo Robino, Claudio de’Sperati

“…Here we applied machine learning to detect expertise from the oculomotor behavior of novice and expert billiard players during free viewing of a filmed billiard match with no specific task, and in a dynamic trajectory prediction task involving ad-hoc, occluded billiard shots. …”
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