An efficient network for object detection in scale-imbalanced remote sensing images by Li Zhongyu, Jing Xiaoping, Sun Rui, Yang Yazhi, Wang Wei, Zhu Hongzhen

“…Finally, the model was applied to the disaster remote sensing image scene for detection, again demonstrating the model’s good detection performance. …”
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Towards a Scalable and Adaptive Learning Approach for Network Intrusion Detection by Alebachew Chiche, Million Meshesha

“…The approach can improve the existing trends and difficulties in intrusion detection. An integrated approach of machine learning with knowledge-based system is proposed for intrusion detection. …”
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Long-term trends in the honeybee 'whooping signal' revealed by automated detection. by Michael Ramsey, Martin Bencsik, Michael I Newton

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Water quality anomaly detection research based on GRU-PINN model by Zhao Xinyu

“…The F1-score, which represents the harmonic mean of precision and recall, is particularly suitable for imbalanced datasets, as the dataset used in this paper contains very few anomaly instances. Experimental results demonstrate that the proposed GRU-PINN model outperforms traditional models by achieving a higher F1-score, thereby improving anomaly detection performance.…”
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Latent Graph Induction Networks and Dependency Graph Networks for Events Detection by Jing Yang, Hu Gao, Depeng Dang

“…The goal of event detection is to identify instances of various event types within text. …”
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Text Detection Method With Emphasis on Text Component Importance and Lightweight Design by Lanlan Yin, Qiming Wu

“…In practical applications, the proposed method consistently demonstrates optimal performance, with minimal instances of false positives or false negatives. In conclusion, the research contributes to the advancement of text detection and provides a reference for the development of lightweight networks and the optimization of performance in other computer vision tasks.…”
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Detection and Predictive Analysis of Drowsiness Using Non-contact Doppler Sensor by Chung Kyo In, Byung Chan Min

“…This study proposes a method utilizing existing Doppler radar sensors to detect and predict drowsiness. To verify the test subjects' drowsy states, their faces were recorded with a camera, and the moments when their eyes were closed were validated as instances of drowsiness. …”
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Emerging nanotechnologies and their role in early ovarian cancer detection, diagnosis and interventions by Mega Obukohwo Oyowvi, Kehinde Henrietta Babawale, Adedeji David Atere, Benneth Ben-Azu

“…Our findings indicate that nanotechnology-based approaches have the potential to significantly improve early detection capabilities for ovarian cancer. Notably, studies on nanoparticle-based imaging techniques and biosensors consistently demonstrate high sensitivity and specificity for identifying ovarian cancer biomarkers, with detection rates exceeding 90% reported for early-stage cancers in several instances. …”
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Knowledge Management in Road Accident Detection Based on Developed Deep Learning by Bvss Subbarao, Ramana K

“…A vehicle's sensors can be destroyed in various ways, including through minor accidents or fixed interactions. In some instances, the sensors are incapable of detecting an accident. …”
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Fraud Detection on Crowdfunding Platforms Using Multiple Feature Selection Methods by Seunghun Lee, Heemin Park, Hyun-Chul Kim

“…We provide and discuss our findings and interpretations on the 10 commonly selected key features in relation to previous studies, based on which we construct a fraud detection model with 82.04% accuracy. We also employ Shapley Additive ExPlanations (SHAP) to interpret the fraud detection model, explaining the importance of each feature.…”
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Detecting and understanding potential stigma among medical cannabis users in Germany by Velimir Borojevic, Felicitas Söhner

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A Benchmark Dataset for Aircraft Detection in Optical Remote Sensing Imagery by Jianming Hu, Xiyang Zhi, Bingxian Zhang, Tianjun Shi, Qi Cui, Xiaogang Sun

“…The problem is that existing aircraft detection datasets rarely simultaneously consider the diversity of target features and the complexity of environmental factors, which has become an important factor restricting the effectiveness and reliability of aircraft detection algorithms. …”
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Real-time locomotion mode detection in individuals with transfemoral amputation and osseointegration by Bahareh Ahkami, Morten B. Kristoffersen, Max Ortiz-Catalan

“…Further research into understanding and compensating for variations in the locomotion detection accuracy for different participants is crucial.…”
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Infrared dim tiny-sized target detection based on feature fusion by Peng Zhang, Yaman Jing, Guodong Liu, Ziyang Chen, Xiaoyan Wu, Osami Sasaki, Jixiong Pu

“…In certain instances, such as when the infrared target is situated at a considerable distance from the detector, the detected object exhibits diminutive dimensions with a concurrently low signal intensity, leading to a challenge in achieving precision in object detection. …”
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Nanoscale Organic Contaminant Detection at the Surface Using Nonlinear Bond Model by Hendradi Hardhienata, Muhammad Ahyad, Fasya Nabilah, Husin Alatas, Faridah Handayasari, Agus Kartono, Tony Sumaryada, Muhammad D. Birowosuto

“…This approach offers valuable applications in environmental monitoring, combining the sensitivity of SHG with the adsorption properties of GO for nanoscale detection.…”
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Multi-model approach for precise lesion localization and severity grading for diabetic retinopathy and age-related macular degeneration by Romana Rahman Ema, Pintu Chandra Shill

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Lightweight GAN-Assisted Class Imbalance Mitigation for Apple Flower Bud Detection by Wenan Yuan, Peng Li

“…The synthetic images generally contained fewer detector-detectable instances per image than the corresponding real training images. …”
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Data augmentation based multi-view contrastive learning graph anomaly detection by LI Yifan, LI Jiayin, LIN Xingpeng, DAI Yuanfei, XU Li

“…Although contrast-based anomaly detection methods could effectively mine anomaly information based on the inconsistency of anomalous node instance pairs, avoiding the drawback of using self-coding architecture that led to the need for full graph training for the model. …”
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The Role of Auditing in Detecting Practices of earnings Management and Reporting at Iraqi Stock Exchange by Salwan Oujah, Muhammad Reza Abbaszadeh

“…Actual profit management is accompanied by change in timing or the structure of actual activities. 310 Therefore, the researchers of actual profit management look for detecting abnormal levels of entity’s activities (Legni et al., 2009). …”
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Unobtrusive stress detection using wearables: application and challenges in a university setting by Peter Neigel, Andrew Vargo, Benjamin Tag, Koichi Kise

“…IntroductionIn theory, wearable physiological sensing devices offer an opportunity for institutions to monitor and manage the health and well-being of a group of people. For instance, schools or universities could leverage these devices to track rising stress levels or detect signs of illness among students. …”
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