Unsupervised Salient Object Detection by Aggregating Multi-Level Cues by Chenxing Xia, Hanling Zhang

“…In this paper, we present a novel method to detect salient object based on multi-level cues. First, a proposal processing scheme is developed by various object-level saliency cues to generate an initial saliency map. …”
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Bridge service life and impact of maintenance events on the structural state index by Abdoul S. Bah, Yan Zhang, Kotaro Sasai, David Conciatori, Luc Chouinard, Nicolas Zufferey, Gabriel J. Power, Thomas Sanchez, Xuande Chen

“…However, experience indicates that the deterioration is already in an advanced state at the appearance of the first visual signs of distress and precludes timely preventive maintenance interventions. …”
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AnomLite: Efficient binary and multiclass video anomaly detection by Anna K. Zvereva, Mariam Kaprielova, Andrey Grabovoy

“…The initial layers of MobileNetV2 are employed for efficient spatial feature extraction, capturing low-to-mid-level features such as edges and textures, while the last hidden state of an LSTM processes temporal dependencies to identify patterns indicative of anomalies. …”
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Volatility characteristics and hyperspectral-based detection models of diesel in soils by Jihye Shin, Jaehyung Yu, Jihee Seo, Lei Wang, Hyun-Cheol Kim

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Crime detective: towards the first description of inflammatory bowel diseases by V. V. Balutsky, A. V. Balutskaya

“…This sectional research is related to a real detective story, which had a great public response in Victorian England. …”
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Benchmarking Anomaly Detection Methods for Extracardiac Findings in Cardiac MRI by Edgar Pinto, Patrícia M. Costa, Catarina Silva, Vitor H. Pereira, Jaime C. Fonseca, Sandro Queirós

“…Hereto, twenty state-of-the-art (SOTA) AD methods, including unsupervised, semi-supervised, and open-set supervised learning methodologies, are compared against two fully supervised baselines for detecting ECFs in anatomical planes of cardiac MR. …”
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Real Time Person Detection and Distance Estimation Using Stereovision by Rachidi Oumayma, Bououlid Idrissi Badr, Ed-Dahmani Chafik

“…With the emergence of deep learning methodologies, significant progress has been made in the field of pedestrian detection, leading to the development of state-of-the-art detectors that exhibit impressive accuracy and efficiency in real-world scenarios. …”
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Detection of antibodies associated with anti-phospholipid syndrome in patients with syphilis by N. K. Levchik, N. V. Zilberberg, M. V. Ponomareva

“…The frequency of anti-cardiolipin antibodies was significantly higher in primary (49%) and early latent (52%) syphilis compared with late latent syphilis (18%), neurosyphilis (15%) and serofast state (17%). The anti-cardiolipin antibodies level decreased shortly after initiation of treatment in patients with early syphilis, and lasted years at low values without changes in patients with late syphilis. …”
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Detecting Chinese Disinformation with Fine–Tuned BERT and Contextual Techniques by Lixin Yun, Sheng Yun, Haoran Xue

“…Our BERT-based and RoBERTa-based fine-tuned models demonstrate superior performance compared to traditional fine-tuning methods and other state-of-the-art approaches, achieving an accuracy of 83.1% —surpassing state-of-the-art approaches – and achieve notable precision and recall scores over 0.73, marks a significant improvement over many existing detection frameworks. …”
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Definition in testing for the probability of exit of the aircraft in informational contact with air objects by S. V. Nikolaev, A. A. Tikhonov, D. S. Merencov

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A novel transformer-based approach for cardiovascular disease detection by Nimra Noor, Muhammad Bilal, Saadullah Farooq Abbasi, Omid Pournik, Theodoros N. Arvanitis

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Fatigue Detection in Air Traffic Controllers: A Comprehensive Review by Hui Pan, Yi Hu, Yanjun Wang, Vu Duong

“…The issue of their fatigue is intrinsically linked to aviation safety, thus detecting fatigue states in controllers is vital for operational control and training. …”
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A systematic survey: role of deep learning-based image anomaly detection in industrial inspection contexts by Vinita Shukla, Amit Shukla, Surya Prakash S. K., Shraddha Shukla

“…Through a comprehensive comparison, traditional techniques are evaluated against state-of-the-art advancements in deep learning-based anomaly detection methodologies, including supervised, unsupervised, and semi-supervised learning methods. …”
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State Characteristic Clustering for Nonintrusive Load Monitoring with Stochastic Behaviours in Smart Grids by Ruotian Yao, Hong Zhou, Dongguo Zhou, Heng Zhang

“…In this paper, a state characteristic clustering (SCC) approach is presented for promoting the performance of event detection in NILM, which makes full use of multidimensional characteristic information. …”
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Hydra Radio Access Network (H-RAN): Multi-Functional Communications and Sensing Networks, Initial Access Implementation, and Task-2 Approach by Rafid I. Abd, Daniel J. Findley, Kwang Soon Kim

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Connection between the effectiveness of ankylosing spondylitis treatment and the state of bone tissue metabolism by O. V. Syniachenko, Ye. D. Yehudina, M. V. Yermolaeva, O. O. Khaniukov, H. S. Taktashov, Yu. О. Potapov, K. Yu. Gashinova

“…The effectiveness of basic therapy in patients with AS depends on the initial state of bone metabolism. The presented data will allow to improve the quality of medical technology in the future for early diagnosis and predicting the further course of individual manifestations of the disease, to optimize the nature of rehabilitation activities in patients with osteopenia/osteoporosis, to improve control over the effectiveness of treatment.…”
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A magnetic epitope-imprinted microsphere used for selective separation and rapid detection of SHV-type β-lactamases in bacteria: a novel strategy of antimicrobial resistance detect... by Yusun Zhou, Kunqi Wang, Lele Li, Hui Li, Qingwu Tian, Baosheng Ge, Yuanyuan Chi, Xiaotong Xu, Shuhui Liu, Meng Han, Tingting Zhou, Yuanqi Zhu, Qing Wang, Bing Yu

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Structural and functional state of blood lymphocytes in patients with infectious mononucleosis with different course by Ya. V. Kolesnyk, T. O. Briukhanova, M. Yu. Sliepchenko, O. A. Nakonechna, O. H. Sorokina

“…The diagnosis of IM was confirmed by PCR (detection of EBV DNA in the blood) and ELISA (anti-EBV IgM and IgG). …”
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Deriving Test Suites with the Guaranteed Fault Coverage for Extended Finite State Machines by A. D. Ermakov, N. V. Yevtushenko

“…Extended Finite State Machines (EFSMs) are widely used when deriving tests for checking functional requirements for software implementations. …”
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Interannual variability in thermal state of the upper mixed layer in the Bering Sea in winter by V. A. Luchin

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