Analyzing and Mitigating Bias for Vulnerable Road Users by Addressing Class Imbalance in Datasets by Dewant Katare, David Solans Noguero, Souneil Park, Nicolas Kourtellis, Marijn Janssen, Aaron Yi Ding

“…In these scenarios, the accuracy and fairness of perception applications used in autonomous driving become critical to reduce such risks. …”
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Spatially distributed gradient-based calibration and parametric sensitivity of a spatialized hydrological model over 235 French catchments by Pierre-André Garambois, François Colleoni, Ngo Nghi Truyen Huynh, Ahmad Akhtari, Ngoc Bao Nguyen, Apolline El-Baz, Maxime Jay-Allemand, Pierre Javelle

“…This study evaluates the applicability and robustness of adjoint-based Variational Data Assimilation (VDA) for spatially distributed calibration on discharge of a gridded parsimonious GR4-like model The model operates at hourly time steps and kilometric resolution across the 235 French catchments. …”
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Compressed Sensing of Vibration Signal for Fault Diagnosis of Bearings, Gears, and Propellers Under Speed Variation Conditions by Yuki Kato, Masayoshi Otaka

“…In the fields of fault diagnosis and structural health monitoring using sound and vibration, there is increasing interest in data compression techniques based on Compressed Sensing (CS). …”
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Structural Fault Detection and Diagnosis for Combine Harvesters: A Critical Review by Haiyang Wang, Liyun Lao, Honglei Zhang, Zhong Tang, Pengfei Qian, Qi He

“…Furthermore, it explores the required system and technical support for implementing such data-driven FDD methods, such as the applications of on-board diagnostic units, remote monitoring platforms, and simulation modeling. …”
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Identification of Environmental Noise Traces in Seismic Recordings Using Vision Transformer and Mel-Spectrogram by Qianlong Ding, Shuangquan Chen, Jinsong Shen, Borui Wang

“…Moreover, a denoising case based on synthetic data further confirms its general applicability, making it a promising tool in seismic data QC and processing workflows.…”
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Preparation of a Nonclinical Overview Based on Scientific Literature by G. N. Engalycheva, R. D. Syubaev

“…The standardised format of literature data presentation will help the developer prepare an adequate nonclinical overview and will speed up assessment of clinical trial or marketing authorisation applications.…”
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FINE-TUNING RESNET50V2 WITH ADAMW AND ADAPTIVE TRANSFER LEARNING FOR SONGKET CLASSIFICATION IN LOMBOK by Erfan Wahyudi, Bahtiar Imran, Zaeniah, Surni Erniwati, Muh Nasirudin Karim, Zumratul Muahidin

“…The model was trained with data augmentation techniques, including rotation, shifting, and zooming, to increase data diversity. …”
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Wind Farm Power Maximisation via Wake Steering: A Gaussian Process‐Based Yaw‐Dependent Parameter Tuning Approach by Filippo Gori, Sylvain Laizet, Andrew Wynn

“…This method holds promise for real‐time control applications and can be extended to other control strategies and closed‐loop frameworks.…”
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Internet of Things (IoT) technologies: features, development prospects and potential threats by Daria Margaza, Yurii Yurchenko

“…The study highlights technological developments, emerging applications, and possible security threats in different fields. …”
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Digital health resilience: IoT solutions in pandemic response and future healthcare scenarios by Pardhu Thottempudi, Reddy Madhavi Konduru, Hima Bindu Valiveti, Swaraja Kuraparthi, Vijay Kumar

“…Abstract This article explores the Internet of Things (IoT), an innovative technical advancement that utilizes the capabilities of billions of sensors across various applications. Sensors are critical to the IoT environment as they collect crucial data for complex analysis. …”
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Large Language Models for Synthetic Dataset Generation of Cybersecurity Indicators of Compromise by Ashwaq Almorjan, Mohammed Basheri, Miada Almasre

“…This study highlights the potential of integrating fine-tuned LLMs with domain-specific knowledge to create high-quality synthetic data. The main contribution of this research is in the adoption of fine-tuning of an LLM, Gpt-3.5, using real social media datasets and curated IoC domain knowledge, which is expected to improve the process of synthetic dataset generation and later IoC extraction and classification, offering a realistic and novel resource for cybersecurity applications.…”
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Determinants of banking efficiency in the MENA region: A two-stage DEA-Tobit approach by Soufiane Benbachir

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Using preprocessed datasets to construct and interpret multiclass identification models by Cong Wang, Yufeng Fu, Ran Wan, Le Zhao, Hongbo Wang, Junwei Guo, Qiang Liu, Shan Li, Shengtao Ma, Zhicai Wang, Wei Huang, Huimin Liu, Song Yang, Cong Nie

“…This analysis identified key variables and elucidated their specific contributions to the model predictions.DiscussionThis study expands the applicability of image and NIR spectroscopic data, offering researchers an effective methodology for investigating factors crucial to the quality control and improvement of agricultural products.…”
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Integrating community perspectives to improve survey completion rates in public health research by refining controversial survey elements by Arleth A. Escoto, Angel Lomeli, Maria Linda Burola, Breanna Reyes, Ana Perez-Portillo, Scarlet Flores, Kayleigh Kornher, Norma Porras, Ariel Cohen, Linda Salgin, Borsika A. Rabin, Louise C. Laurent, Marva Seifert, Nicole A. Stadnick

“…Interviewees identified CDEs that were “confusing, uncomfortable, and/or not applicable,” along with their reasoning. Interview data were analyzed using a rapid qualitative analytic approach, resulting in a summary matrix categorized by language. …”
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Multisource Topographic-Enhanced Cloud Removal for Remote Sensing in Mountainous Landscapes by Meryeme Boumahdi, Consuelo Gonzalo-Martin, Mario Lillo-Saavedra, Marcelo Somos-Valenzuela, Angel Garcia-Pedrero

“…This underscores the importance of incorporating topographical information in remote sensing applications, particularly in mountainous regions, to improve data accuracy.…”
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Training and inference Time Efficiency Assessment Framework for machine learning algorithms: A case study for hyperspectral image classification by Xiaorou Zheng, Jianxin Jia, Shoubin Dong, Yawei Wang, Runuo Lu, Yuwei Chen, Yueming Wang

“…Traditional methods of evaluating time efficiency often neglect the effects of core model parameters and complex data scales in spectral and temporal dimensions. …”
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Adaptive Input Sampling: A Novel Approach for Efficient Object Detection in High Resolution Traffic Monitoring Images by Tewodros Syum Gebre, Eden Tsehaye Wasehun, Freda Elikem Dorbu, Gazali Oluwasegun Agboola, Ali Karimoddini, Leila Hashemi-Beni

“…Our experimental results demonstrate that the AIS achieves 96.40% traffic counting accuracy and 95.60% vehicle classification accuracy, while reducing the original input data size by up to 79.00%. By optimizing the volume of input data, the AIS improves computational efficiency and accelerates inference results, making it a promising solution for real-time traffic monitoring applications. …”
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Ethical Considerations in Emotion Recognition Research by Darlene Barker, Mukesh Kumar Reddy Tippireddy, Ali Farhan, Bilal Ahmed

“…The combination of emotional profiling with biased algorithmic interpretations of culturally diverse expressions and affective data collection without meaningful consent presents major ethical concerns. …”
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An Ensemble of Convolutional Neural Networks for Sound Event Detection by Abdinabi Mukhamadiyev, Ilyos Khujayarov, Dilorom Nabieva, Jinsoo Cho

“…In addition to the crowdsourced dataset, publicly available datasets were used to broaden the study’s applicability. Our dataset contains 5055 audio files of different lengths totaling 14.14 h and strongly labeled data. …”
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Design of an Immersive Basketball Tactical Training System Based on Digital Twins and Federated Learning by Xiongce Lv, Ye Tao, Yifan Zhang, Yang Xue

“…To address the challenges of dynamic adversarial scenario modeling distortion, insufficient cross-institutional data privacy protection, and simplistic evaluation systems in collegiate basketball tactical education, this study proposes and validates an immersive instructional system integrating digital twin and federated learning technologies. …”
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