Digitalization of an Industrial Process for Bearing Production by Jose-Manuel Rodriguez-Fortun, Jorge Alvarez, Luis Monzon, Ricardo Salillas, Sergio Noriega, David Escuin, David Abadia, Aitor Barrutia, Victor Gaspar, Jose Antonio Romeo, Fernando Cebrian, Rafael del-Hoyo-Alonso

“…The actuation considered new sensing elements at the machine level and the treatment of the information, fusing the different sources in order to detect quality defects in the grinding process (waviness, burns) and monitoring the state of the tool. …”
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Conscious and unconscious processes in vision and homeostasis by Athanassios S. Fokas, Nikos K. Logothetis

“…First, unconscious and conscious processes form a dynamic organizational continuum. …”
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Processivity and coupling in messenger RNA transcription. by Stuart Aitken, Marie-Cécile Robert, Ross D Alexander, Igor Goryanin, Edouard Bertrand, Jean D Beggs

“…<h4>Background</h4>The complexity of messenger RNA processing is now being uncovered by experimental techniques that are capable of detecting individual copies of mRNA in cells, and by quantitative real-time observations that reveal the kinetics. …”
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Prediction of the risk of recurrence of the leprosy process by G. N. Genatullina, A. L. Yasenyavskaya, A. A. Tsibizova, M. A. Samotrueva

“…At the ultramicroscopic level, the degree of MP activity detected by the electron-cytochemical method in the Mf of biopsies of the affected skin, both first registered before the start of therapy and with the activation of the process during treatment, was taken into account. …”
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STATISTICAL PROCESSING OF RESULTS OF TESTING OF STUDENTS by Yulia V. Gumennikova, Elena N. Ryabinova, Ruzilya N. Chernitsina

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Multi-scale Information Aggregation for Spoofing Detection by Changtao Li, Yi Wan, Feiran Yang, Jun Yang

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Development of View Optimization Techniques for Structural Monitoring Systems Using Post-Processing of Structural Analysis and Image Processing by Yonghui Park

“…The proposed framework for view optimization utilized the results from structural analysis performed in ABAQUS to extract initial camera positions and direction vectors, which served as inputs for an optimization algorithm. The optimization process applied image processing methods to detect deformation areas, while performance was evaluated at each iteration and saved when improvements were found. …”
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BioAug-Net: a bioimage sensor-driven attention-augmented segmentation framework with physiological coupling for early prostate cancer detection in T2-weighted MRI by Muhammad Arshad, Chengliang Wang, Muhammad Wajeeh Us Sima, Jamshed Ali Shaikh, Hanen Karamti, Raed Alharthi, Julius Selecky

“…Additionally, a Markov Decision Process-based PCDSS maps segmentation outputs to clinical PI-RADS scores, with uncertainty quantification. …”
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Detection of Patient-Level Immunotherapy-Related Adverse Events (irAEs) from Clinical Narratives of Electronic Health Records: A High-Sensitivity Artificial Intelligence Model by Zitu MM, Gatti-Mays ME, Johnson KC, Zhang S, Shendre A, Elsaid MI, Li L

“…If we improve the model’s specificity to 100%, it could eliminate the need to manually review 2500 of those 3256 clinical notes (77%).Conclusion: Combined use of this AI model with the manual review of clinical notes will improve both sensitivity and specificity in the detection of irAEs, decreasing workload and costs and facilitating the development of improved immunotherapies.Keywords: immunotherapy, cancer, adverse events, machine learning, natural language processing, artificial intelligence, electronic health records…”
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CONCEPTUAL FRAMEWORK FOR RISK MANAGEMENT OF THE BUDGET PROCESS IN UKRAINE by Наталія Мельник

“…The relevance of the topic is due to the need to continue reforming the system of state internal financial control and integrating risk management as its component into all stages of the budget process. The study highlights the stages of the budget process risk management process: detection, identification, assessment, selection of response methods, monitoring of new and revision of already identified threats, documentation and reporting. …”
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Fish Detection Using Deep Learning by Suxia Cui, Yu Zhou, Yonghui Wang, Lujun Zhai

“…To fit into this unique need, three optimization approaches were applied to the CNN: data augmentation, network simplification, and training process speed up. Data augmentation transformation provided more learning samples; the network was simplified to accommodate the artificial neural network; the training process speed up is introduced to make the training process more time efficient. …”
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Detecting change in stochastic sound sequences. by Benjamin Skerritt-Davis, Mounya Elhilali

“…These results shed light on the brain's ability to process stochastic sound sequences.…”
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The detection of distributional discrepancy for language GANs by Xingyuan Chen, Peng Jin, Ping Cai, Hongjun Wang, Xinyu Dai, Jiajun Chen

“…Then, several methods with the detected discrepancy signal to improve the generator were tried. …”
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GDOM: Granulometry for the Detection of Obfuscated Malware by John A. Aruta, N. Paul Schembari

“…As part of the thesis, we studied obfuscation of malware, conversion of files into images, image processing, and machine learning, a process of benefit to both the student and faculty. …”
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Automatic Detection of Axes for Turning Parts by Martin Erler, Feyzi Emrah Başar, Alexander Brosius

“…This paper delves into a critical aspect of Computer-Aided Production Planning (CAPP): the automated detection of the main rotational axis in turning parts within Computer-Aided Drawings (CAD). …”
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Workflow Detection with Improved Phase Discriminability by ZHANG, M., HU, H., LI, Z.

“…Workflow detection is a challenge issue in the process of Industry 4.0, which plays a crucial role in intelligent production. …”
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Volcano-Seismic Event Detection and Clustering by Joe Carthy, Pablo Rey-Devesa, Manuel Titos, Carmen Benitez

“…This study looks into unsupervised and supervised methods for detecting events in volcano-seismic time series data, segmenting the data, and clustering the segments where there is activity. …”
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Transformative approaches for siRNA detection by Sima Singh, Ada Raucci, Wanda Cimmino, Antonella Miglione, Panagiota M Kalligosfyri, Stefano Cinti

“…Small interfering RNA (siRNA) is essential for the process of gene silencing, especially for cancer. …”
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Resonant Polysilicon Antenna for Terahertz Detection by Ze Shen, Xiaoli Ji, Yiming Liao, Ke Wang, Biaobing Jin, Feng Yan

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RGB-T Object Detection With Failure Scenarios by Qingwang Wang, Yuxuan Sun, Yongke Chi, Tao Shen

“…First, we design a multidimensional incremental information generation module based on a diffusion model, which reconstructs the unstable information of RGB-T images through the reverse diffusion process using the original fusion feature map. To further address the issue of redundant information in existing RGB-T object detection models, a redundant information suppression module is introduced, minimizing cross-modal redundant information based on mutual information and contrastive loss. …”
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