Harnessing deep learning to monitor people’s perceptions towards climate change on social media by Ana Sofia Cardoso, Catarina da Silva, Andrea Soriano-Redondo, Ivan Jarić, Susana Batel, João Andrade Santos, Alípio Jorge, Ana Sofia Vaz

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Tomato Stem Recognition Based on Yolox by Holý Miroslav, Cviklovič Vladimír, Tóth Ladislav, Vacho Lukáš, Olejár Martin, Kósa Patrik, Baláži Juraj, Paulovič Stanislav

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Multi-pulse Fourier codes for bit transmission at the quantum limit by Matteo Rosati

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Deploying Android-Based Smart RSUs with YOLOv8 and SAHI for Enhanced Traffic Management by Mohammed F. Rashad, Qutaiba I. Ali

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Automated underwater plectropomus leopardus phenotype measurement through cylinder by Mengran Liu, Yaocheng Huang, Guojun Xu, Junwei Zhou, Cun Wei, Jingjie Hu, Zhenmin Bao

Subjects: “…Keypoints detection…”
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Spectrum Sensing Using Fast Slepian Transform for Cognitive Radio Networks by Aman Kumar, Indrasen Singh, Dilip Kumar Choudhary

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Traffic Classification in Software-Defined Networking Using Genetic Programming Tools by Spiridoula V. Margariti, Ioannis G. Tsoulos, Evangelia Kiousi, Eleftherios Stergiou

“…However, Genetic Programming-based techniques require significantly higher execution time compared to other machine learning techniques. …”
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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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Intervention program through therapeutic physical exercise in patients with lung cancer by Onesio Esteban de León Gutierrez, Israel Triana Pérez, Iván Castillo Ledo

“…The number of deaths continues to decline due to smoking cessation and advances in early detection and treatment. Physiotherapy plays an important role in helping to manage and control signs and symptoms.…”
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Artificial intelligence in computer programming education: A systematic literature review by Pisut Manorat, Suppawong Tuarob, Siripen Pongpaichet

“…The demand for skilled programmers and the increasing complexity of coding skills have led to a rise in the adoption of artificial intelligence (AI) and machine learning (ML) technologies in computer programming education. Previous research has explored the potential of AI in aspects such as grading assignments, generating feedback, detecting plagiarism, and identifying at-risk students, but there is a lack of systematic reviews focused on AI-powered teaching processes in computer programming classes. …”
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APPROACH TO IMAGE ANALYSIS FOR COMPUTER VISION SYSTEMS by N. A. Iskra

Subjects: “…object detection…”
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Fakeium: A dynamic execution environment for JavaScript program analysis by José Miguel Moreno, Narseo Vallina-Rodriguez, Juan Tapiador

“…To combat these threats, researchers have developed specialized tools and frameworks for analyzing the behavior of JavaScript programs to detect malicious patterns. Static analysis tools typically struggle with the highly dynamic nature of the language and fail to process obfuscated sources, while dynamic analysis pipelines take several minutes to run and require more resources per program, making them unfeasible for large-scale analyses. …”
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Examining the reach of a diabetes screening program in an urban emergency department by Ruth A. Pobee, Kirstie K. Danielson, Angela Kong, Yuval Eisenberg, Brian T. Layden, Janet Lin

“…This study aims to assess the reach of an ED-based screening program by examining the characteristics of patients screen-detected for diabetes or prediabetes. …”
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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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