Research on anomaly detection model for traffic time series data integrating multiple mechanisms by Peipei ZHANG, Jiaqi LIU

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Outlier Detection and Correction in Smart Grid Energy Demand Data Using Sparse Autoencoders by Levi da Costa Pimentel, Ricardo Wagner Correia Guerra Filho, Juan Moises Mauricio Villanueva, Yuri Percy Molina Rodriguez

“…The results provide an overview of the operation as well as demonstrate the effectiveness of the proposed methodology that manages to improve some indices achieved by previous works, reaching accuracy and F-score superior to 99% and 97%, respectively, for the detection algorithm, as well as a square root mean squared error (RMSE) and a mean absolute percentage error (MAPE) of less than 0.2 MW and 2%, respectively.…”
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Deep Learning-Based Anomaly Detection in Occupational Accident Data Using Fractional Dimensions by Ömer Akgüller, Larissa M. Batrancea, Mehmet Ali Balcı, Gökhan Tuna, Anca Nichita

“…The results demonstrate that the VAE model consistently detects a broader range of anomalies, particularly in sectors with complex operational processes like NACE05 and NACE30. …”
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An efficient interpretable framework for unsupervised low, very low and extreme birth weight detection. by Ali Nawaz, Amir Ahmad, Shehroz S Khan, Mohammad Mehedy Masud, Nadirah Ghenimi, Luai A Ahmed

“…While traditional approaches to managing class imbalance require labeled data, our study explores the use of unsupervised learning to detect anomalies indicative of low birth weight scenarios. …”
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Hybrid algorithm for fault detection in three-phase motors using Principal Component Analysis by Cesar Orellana, Leony Ortiz, Alexander Aguila, Marcelo Garcia, Milton Ruiz

“…This provides an ellipsoid threshold that separates different classes, such as regular operation or fault conditions. The results show that this approach demonstrates excellent efficacy in the timely detection of faults, forming the basis for predictive maintenance management. …”
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Federated Learning for Scalable Anomaly Detection and Pattern Discovery in IoT-Enabled Aquaponics Systems by Saghar Shafaati, Javad Mohammadzadeh

“…Recent studies that focus upon aquaponics have also validated the operational superiority of the system in anomaly detection that is privacy-aware via comparison across models. …”
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Genome guided LAMP assay for rapid and reliable detection of Xanthomonas axonopodis pv. vasculorum by Mitchell Marabella, Julia Howard, Santosh Bhandari, Sally Do, Maya Montoya-Pimolwatana, Yichen Dou, Shefali Dobhal, Dario Arizala, Stefania Montesinos, Sharon A. Andreason, Francisco Ochoa-Corona, Jon-Paul Bingham, Jenee Odani, Daniel Jenkins, Li Maria Ma, Jacqueline Fletcher, James P. Stack, Mohammad Arif

“…A field-deployable tool specific to Xav is required for rapid infection detection and timely disease management. This resulted in a loop-mediated isothermal amplification (LAMP) assay targeting the gene region, unique to Xav strains, as a rapid and precise diagnostic assay. …”
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Detection and significance of human epidermal growth factor receptor 2 expression in gastric adenocarcinoma by Sutapa Halder, Debjani Mallick, Priyanka Mondal, Debajyoti Singha Roy, Aniket Halder, Sudipta Chakrabarti

“…Overexpression of HER2 is noted in 10%–22.8% of gastric adenocarcinoma and its identification is of immense importance for management by targeted drugs. Detection of HER2 expression in gastric malignancies has not been undertaken previously in the local population. …”
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Experience of enrollment and management of the Waiting list for liver transplantation at hepatological center by Ye. N. Bessonova, O. A. Stroganova, Yu. A. Glazyrina, I. A. Kornilova

“…These or other concomitant diseases become an impediment for enrollment to the waiting list in 2/3 patients having indications for liver transplantation.Conclusions. Development and management of the Waiting list for liver transplantation is a complex, multiplane task and requires careful, complex and very versatile investigation of the patient before surgery, dynamic rating of severity of status and urgency class of operation performance, duly while maximally effective detection and treatment of accompanying diseases.…”
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FaceCloseup: Enhancing Mobile Facial Authentication with Perspective Distortion-Based Liveness Detection by Yingjiu Li, Yan Li, Zilong Wang

“…While this technology enhances usability and security by eliminating password management, it remains highly susceptible to spoofing attacks. …”
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AI-Based Solar Panel Detection and Monitoring Using High-Resolution Drone Imagery by Raheleh Parsaeifar, Mojtaba Valinejadshoubi, Anthony Le Guen, Fernando Valdivieso

“…In conclusion, the developed deep learning model presents a practical tool for solar panel detection, offering substantial improvements in monitoring and managing solar energy resources.…”
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Fast and intelligent detection of concrete cracks based on sound signals and convolutional neural network by Chunlei Ge, Yue Qin, Yue Qin, Kaizhong Xie, Zubiao Lu

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Biosensing Technologies for Detecting <i>Legionella</i> in Environmental Samples: A Systematic Review by Giuseppe Andrea Screpis, Andrea Aleo, Natalia Privitera, Giuseppe Emanuele Capuano, Roberta Farina, Domenico Corso, Sebania Libertino, Maria Anna Coniglio

“…Although effective, traditional detection methods, including culture-based techniques and polymerase chain reaction, have limitations such as long processing times, trained operators, and the need for specialized laboratory equipment. …”
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Fixed/Mobile Collaborative Traffic Flow Detection Study Based on Wireless Charging of UAVs by Hao Wu, Mingbo Niu, Biao Wang, Kai Yan, Yuxuan Li, Hanyu Pang

“…Such a multi-UAV collaborative data acquiring system is designed for efficient, continuous, and uninterrupted operation, employing a three-drone rotational detection strategy. …”
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Fish Detection in Fishways for Hydropower Stations Using Bidirectional Cross-Scale Feature Fusion by Junming Wang, Yuanfeng Gong, Wupeng Deng, Enshun Lu, Xinyu Hu, Daode Zhang

“…Fishways can effectively validate the effectiveness and rationality of their construction, optimize operational modes, and achieve intelligent scientific management through fish species detection. …”
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Artificial intelligence-based risk management for the banking sector: impact and challenges by L.A. Kuanova, A.N. Otegen, G.K. Kenzhegulova, P. Karacsony

“… The aim of this study is to comprehensively examine the impact of artificial intelligence (AI) technologies on risk management in the banking sector. The research focuses on how machine learning, natural language processing, and predictive analytics enhance credit scoring, fraud detection, and regulatory compliance. …”
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Wavelet-Based ensembled intelligent technique for a better quality of fault detection and classification in AC microgrids by Nityananda Giri, Pravati Nayak, Ranjan Kumar Mallick, Sairam Mishra, Aymen Flah, Habib Kraiem, Lukas Prokop, Mohammad Kanan

“…Results demonstrate that the method is both fast and accurate, achieving fault detection and classification accuracies of 100% in both grid-connected and islanded modes of operation. …”
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Usefulness of Intraoperative Computed Tomography in Complication Management after Spine Surgery by Johannes Kerschbaumer, Christian Franz Freyschlag, Marcel Seiz-Rosenhagen, Claudius Thomé

“…Abstract Intraoperative computed tomographic (CT) scanners are used frequently in spine surgery for exact pedicle screw placement. In complication management, imaging is mainly used outside the operation theater. …”
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Endoscopic-Assisted Scleral Fixated IOL in the Management of Secondary Aphakia in Children by Heba A. El Gendy, Hossam Eldin Khalil, Hazem Effat Haroun, Mohamed Wagieh El Deeb

“…Lens decentration and/or tilting were clinically detected in 2 eyes (5%). Ultrasonic biomicroscopic (UBM) examination revealed lens tilting in 2 (5%) of the operated eyes, despite the proper haptics positioning in the ciliary sulcus. …”
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Framework for Addressing Imbalanced Data in Aviation with Federated Learning by Igor Kabashkin

“…This paper presents a novel framework for addressing imbalanced data challenges in aviation through federated learning, focusing on fault detection, predictive maintenance, and safety management. …”
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