Spectrum Sensing Using Fast Slepian Transform for Cognitive Radio Networks by Aman Kumar, Indrasen Singh, Dilip Kumar Choudhary

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LiDAR Technology for UAV Detection: From Fundamentals and Operational Principles to Advanced Detection and Classification Techniques by Ulzhalgas Seidaliyeva, Lyazzat Ilipbayeva, Dana Utebayeva, Nurzhigit Smailov, Eric T. Matson, Yerlan Tashtay, Mukhit Turumbetov, Akezhan Sabibolda

“…This review systematically explores recent innovations in LiDAR-based drone detection, deeply focusing on the principles and components of LiDAR sensors, their classifications based on different parameters and scanning mechanisms, and the approaches for processing LiDAR data. …”
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Automated Traumatic Bleeding Detection in Whole-Body CT Using 3D Object Detection Model by Rizki Nurfauzi, Ayaka Baba, Taka-aki Nakada, Toshiya Nakaguchi, Yukihiro Nomura

“…In addition, the average processing time was reduced to 4.2 ± 1.1 min. These results suggest that the proposed method enables rapid and accurate bleeding detection, demonstrating its potential for clinical application in emergency trauma care.…”
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Viability of Substituting Handheld Metal Detectors with an Airborne Metal Detection System for Landmine and Unexploded Ordnance Detection by Sagar Lekhak, Emmett J. Ientilucci, Anthony Wayne Brinkley

“…Our findings highlight the strengths and limitations of airborne metal detection systems like the EM61Lite and emphasize the need for advanced processing techniques to facilitate their practical deployment. …”
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Deterministic Light Detection and Ranging (LiDAR)-Based Obstacle Detection in Railways Using Data Fusion by Susana Dias, Pedro J. S. C. P. Sousa, João Nunes, Francisco Afonso, Nuno Viriato, Paulo J. Tavares, Pedro M. G. P. Moreira

“…Therefore, the timely detection of obstacles is crucial for ensuring operational safety. …”
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APPROACH TO IMAGE ANALYSIS FOR COMPUTER VISION SYSTEMS by N. A. Iskra

Subjects: “…object detection…”
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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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Fire detection using surveillance systems by Hanan Samir Mahmoud

“…<p class="Abstract">In this research, I present a video-based system to detect Fire in real time taking advantage of already existing surveillance systems for Fire detection either inside or outside the building, Detection of fires with surveillance cameras is characterized by early detection and rapid performance. …”
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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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The functional near infrared spectroscopy applications in children with developmental diseases: a review by Jing Wang, Zhuo Zou, Haoyu Huang, Jinting Wu, Xianzhao Wei, Shuyue Yin, Yingjuan Chen, Yun Liu

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Orthostatic hypotension in Parkinson’s disease: effects on clinical features and disease severity-a systematic review and meta-analysis by Hui Wang, Chi Zhang, Dongxun Xu

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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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