Deep Learning with Dual-Channel Feature Fusion for Epileptic EEG Signal Classification by Bingbing Yu, Mingliang Zuo, Li Sui

“…Channel 2 employs a dual-branch convolutional neural network (CNN) to extract deeper and distinct features. …”
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Discriminating and classifying odontocete echolocation clicks in the Hawaiian Islands using machine learning methods. by Morgan A Ziegenhorn, Kaitlin E Frasier, John A Hildebrand, Erin M Oleson, Robin W Baird, Sean M Wiggins, Simone Baumann-Pickering

“…Types defined by clustering were then used as input classes in a neural-network based classifier, which was trained, tested, and evaluated on 5-minute binned data segments. …”
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Comparison of Machine Learning Methods for Menstrual Cycle Analysis and Prediction by Mutiara Khairunisa, Desak Made Sidantya Amanda Putri, I Gusti Ngurah Lanang Wijayakusuma

“…This study compares three machine learning methods—Long Short-Term Memory (LSTM), Convolutional Neural Network (CNN), and Decision Tree—for analyzing and predicting menstrual cycles. …”
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Epidemiological characterization of chronic myeloid leukaemia patients at an oncologic centre: A retrospective observational study by Ana Maria Meireles, Rita Calisto, Maria José Bento, Pedro Martinho Gouveia, Susana Bizarro, Manuel Teixeira, Cláudia Moreira, Ana Espírito Santo, Mário Mariz

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Geospatial Clustering in Smart City Resource Management: An Initial Step in the Optimisation of Complex Technical Supply Systems by Aliaksey A. Kapanski, Roman V. Klyuev, Aleksandr E. Boltrushevich, Svetlana N. Sorokova, Egor A. Efremenkov, Anton Y. Demin, Nikita V. Martyushev

“…However, without a clear understanding of the network structure and water consumption patterns, addressing these challenges becomes significantly more complex. …”
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An Enhanced Approach for Remaining Useful Life Prediction of Bearings Using Incomplete Lifecycle Data by Xunmeng An, Chao Zhang, Caiye Liu, Wentao Zhao

“…To address these challenges, we propose the Incomplete Lifecycle Data Enhanced Network (ILDENet), a self-supervised learning network incorporating contrastive learning to improve feature discrimination. …”
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A Supervised Approach for Land Use Identification in Trento Using Mobile Phone Data as an Alternative to Unsupervised Clustering Techniques by Manuel Mendoza-Hurtado, Gonzalo Cerruela-García, Domingo Ortiz-Boyer

“…By analyzing spatiotemporal patterns in CDRs, we trained and evaluated several classification algorithms, including k-nearest neighbors (kNN), support vector machines (SVM), and random forests (RF), to map land use categories, such as home, work, and forest. …”
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Research Trends in the Field of Participatory Governance: Drawing a Map of Co-occurrence and Co-word Analysis by Seyed Mohsen Mirbagheri, Seyed Mostafa Jalili

“…The Co-word Analysis further elucidates that "management", "network", and "policy" are the concepts most intricately intertwined with participatory governance. …”
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Defecting or not defecting: how to "read" human behavior during cooperative games by EEG measurements. by Fabrizio De Vico Fallani, Vincenzo Nicosia, Roberta Sinatra, Laura Astolfi, Febo Cincotti, Donatella Mattia, Christopher Wilke, Alex Doud, Vito Latora, Bin He, Fabio Babiloni

“…The decision to defect can be "read" in advance by evaluating the changes of connectivity pattern in the hyper-brain network.…”
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Transformer-Guided Serial Knowledge Distillation for High-Precision Anomaly Detection by Danyang Wang, Bingyan Wang

“…This three-stage architecture consists of a fixed pretrained teacher network serving as the upstream feature extractor, a dedicated multi-feature aggregation and filtering module integrated with Vision Transformer components as the intermediate processor, and a trainable student network functioning as the downstream reconstruction module. …”
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An optimized domain-specific shrimp detection architecture integrating conditional GAN and weighted ensemble learning by L. Ravi Kumar, Ravi Kumar Tata, T. R. Mahesh, Endris Mohammed Ali

“…Deep learning is used to analyze the image patterns and to recognize the objects. The detection process includes the creation of labels with bounding boxes, and it will be evaluated by using accuracy scores. …”
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Impact of the COVID-19 pandemic on incident diagnoses in German refugee centres 2018 to 2023 by Kayvan Bozorgmehr, Stella Erdmann, Sven Rohleder, Consortium Pri.CareNet, Rosa Jahn

“…Here, we employ segmented regression analyses, adjusting for time trends, socio-demographic factors, occupancy, and centre characteristics, to evaluate the COVID-19 pandemic’s impact on incident diagnosis patterns among refugees. …”
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On the added value of sequential deep learning for the upscaling of evapotranspiration by B. Kraft, B. Kraft, B. Kraft, J. A. Nelson, S. Walther, F. Gans, U. Weber, G. Duveiller, M. Reichstein, W. Zhang, M. Rußwurm, D. Tuia, M. Körner, Z. Hamdi, M. Jung

“…</p> <p>In this study, we compared instantaneous (i.e., non-sequential) models (extreme gradient boosting (XGBoost) and a fully connected neural network (FCN)) with sequential models (a long short-term memory (LSTM) model and a temporal convolutional network (TCN)) for the modeling and upscaling of ET. …”
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TACO: Adversarial Camouflage Optimization on Trucks to Fool Object Detectors by Adonisz Dimitriu, Tamás Vilmos Michaletzky, Viktor Remeli

“…Adopting Unreal Engine 5, TACO integrates differentiable rendering with a Photorealistic Rendering Network to optimize adversarial textures targeted at YOLOv8. …”
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Autonomous scheduling mechanism based on energy awareness for improving resource allocation in serverless IoT edge by Mohsen Ghorbian, Mostafa Ghobaei-Arani, Leila Esmaeili

“…The efficiency of the proposed approach was evaluated utilizing three separate load distribution patterns (exponential, Poisson, and exponential-Poisson), and the results indicate the prevention of energy waste and an average reduction of 1.66% in energy consumption. …”
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Seismic rockfall risk assessments and mitigation strategies for transportation infrastructure in high-risk regions by Kelechi Nnaji Eze, Oluwadamilare Olamide Ilesanmi, Godspower Charles Igah, Adefemi Quddus Abidola, Fega Eric Ojefia, Adedamola Martins Adekoya

“…Infrastructure resistance depends strongly on having effective procedures to assess hazards and implement protective strategies because these events show unpredictable patterns. This paper reviews contemporary rockfall hazard evaluation methods while studying risk assessment structures and presenting examples of quake-proof mitigation practices in transportation systems. …”
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A two phase ensembled deep learning approach of prominent gene extraction and disease risk prediction by Prajna Paramita DEBATA, Alakananda TRIPATHY, Pournamasi PARHI, Smruti Rekha DAS

“…According to experimental evaluation, the suggested strategy is accurate, reliable, and robust. …”
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Data-driven EV charging infrastructure with uncertainty based on a spatial–temporal flow-driven (STFD) models considering batteries by Talal Alharbi, Ahmed Abdalrahman, Mostafa H. Mostafa

“…The effectiveness of this integrated planning approach is demonstrated through a case study on a representative transportation network, showing its capacity to mitigate the adverse impacts impacts of EV integration on microgrid performance. …”
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Unpacking food environment policy landscapes for healthier diets in “emerging” countries: the case of Viet Nam by Brice Even, Trang Thi Thu Truong, Hang Thi Minh Thai, Hang Thi Minh Thai, Huong Thi Mai Pham, Duong Thu Nguyen, Anh Thi Viet Bui, Christophe Béné, Christophe Béné

“…ObjectiveFood systems and food environments are evolving rapidly in Viet Nam, concurrently with significant shifts in dietary patterns and health outcomes. This study aims to identify critical gaps in the national regulatory framework governing food environment in Viet Nam and to propose actionable recommendations to overcome these gaps.ResultsUsing the Food Environment Policy Index from the INFORMAS network, we mobilized a transdisciplinary panel of 18 experts to co-analyze and assess policy evidence, as well as co-develop policy recommendations. …”
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Ultra-low dose imaging in a standard axial field-of-view PET by Thiago Lima, Carlos Vinícius Gomes, Paul Fargier, Klaus Strobel, Antoine Leimgruber

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