DEVELOPING DESIGN OF AUTOMATIC EGG QUALITY DETECTOR USING ROI AND RGB TEMPLATE METHODS by Teguh Herlambang, Andy Suryowinoto, Moch Zakaria, Berny Pebo Tomasouw

“…The implementation of the ROI method could optimize the system performance, thereby accelerating the process of egg quality detection carried out by the preprocessor of the pixy camera. …”
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Quantitative Cardiac Positron Emission Tomography: The Time Is Coming! by Roberto Sciagrà

“…Nowadays, different approaches for the measurement of myocardial blood flow (MBF) have been developed and implemented in user-friendly programs. There is large evidence that MBF at rest and under stress together with the calculation of coronary flow reserve are able to improve the detection and prognostication of coronary artery disease. …”
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Current perspectives in tackling glaucoma blindness by Shibal Bhartiya, Parul Ichhpujani, Meenakshi Wadhwani

“…This includes raising awareness, enhancing early detection programs, and access to care, particularly in underserved populations.…”
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Artificial Intelligence for Automatic Pain Assessment: Research Methods and Perspectives by Marco Cascella, Daniela Schiavo, Arturo Cuomo, Alessandro Ottaiano, Francesco Perri, Renato Patrone, Sara Migliarelli, Elena Giovanna Bignami, Alessandro Vittori, Francesco Cutugno

“…More recently, artificial neural networks such as convolutional and recurrent neural network algorithms are implemented, even in combination. Collaboration programs involving clinicians and computer scientists must be aimed at structuring and processing robust datasets that can be used in various settings, from acute to different chronic pain conditions. …”
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Cytological pattern of cervical pap smears in a teaching hospital in southern Nigeria by Abasiattai AA, Nwafor CC, Tobin EA, Utuk NM

“…Our findings reinforce the need for all women in our environment to begin cervical cancer screening early, and underscores the need and importance of establishing a National cervical cancer screening program to enable early detection of premalignant cervical lesions and their prompt treatment. …”
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Immediate remote sensing of sudden earth’s surface anomalies and its geographical significance by Qiao Wang, Haishuo Wei

“…To solve these problems, we have researched immediate remote sensing detection of sudden earth’s surface anomalies. Its core concept is to deploy the entire detection process on satellites, enabling on-orbit immediate detection of earth’s surface anomalies based on a single image through the integrated “positioning, navigation, timing, remote sensing, communication (PNTRC)” intelligent constellation and edge computing technologies. …”
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Recent trends in cancer incidence in Nepal: A retrospective observational study by Rudra Prasad Khanal, Ishwar Koirala, Kanchan P Adhikari, Bidyapati Jha

“…Secondary objectives included recommending targeted screening and promoting early detection programs in these regions. Materials and Methods: This retrospective observational study was conducted at the Department of Medical Physics, Bhaktapur Cancer Hospital, Bhaktapur. …”
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Case study: Assessment of long‐term rocky intertidal biodiversity monitoring at Cabrillo National Monument by Christine C. Bonadonna, Lauren L. M. Pandori, Celia C. Symons

“…Long‐term monitoring programs benefit most from ensuring comparability across years and considering their specific goals during the design process. …”
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Intelligent partial discharge sensing system for power grid equipment based on Internet of things by FANG Zheng

“…Firstly, the overall framework of the intelligent PD sensing system for power grid equipment is proposed, and the required software and hardware configuration and the selection of PD detection sensors are given; the PD detection process is further designed, and different principles of PD detection are analyzed, the noise of PD is reduced by the discharge signal analysis method of resonance sparse decomposition; the network model of the intelligent partial discharge sensing system for power grid equipment is designed, including sensor nodes, sink nodes and access nodes. …”
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Interconnectedness threat: unveiling the mechanisms behind human papillomavirus-induced cervical cancer by Racheal Ahuoyiza Ayeni, Blessing Olawunmi Amisu, Ayanleke Raphael Ayantunji, Mohamed Mustaf Ahmed, Olalekan John Okesanya, Tolga Kab, Bonaventure Michael Ukoaka

“…Public health education, vaccination programs, research, and international collaboration are crucial. …”
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Screening the Unidentified Noncommunicable Disease Prevalence in Orthopedic Outpatient Department in a Tertiary Care Teaching Institute in India by Vetrivel C Sengodan, Kalidas Ponnusami, Vijay KA Subramaniyan, Venkatesh Venkatachalam, Sreehari Vikram

“…It includes healthcare programs aimed at warding off illnesses, early detection of disease, and inhibiting further deterioration of the body.” …”
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Impossibility Results for Byzantine-Tolerant State Observation, Synchronization, and Graph Computation Problems by Ajay D. Kshemkalyani, Anshuman Misra

“…This paper considers the solvability of several fundamental problems in asynchronous message-passing distributed systems in the presence of Byzantine processes using distributed algorithms. These problems are the following: mutual exclusion, global snapshot recording, termination detection, deadlock detection, predicate detection, causal ordering, spanning tree construction, minimum spanning tree construction, all–all shortest paths computation, and maximal independent set computation. …”
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Back Propagation Artificial Neural Network Enhanced Accuracy of Multi-Mode Sensors by Xue Zou, Xiaohong Wang, Jinchun Tu, Delun Chen, Yang Cao

“…In this study, we propose a multi-mode sensor based on Prussian Blue (PB) for ascorbic acid (AA) detection. We innovatively integrate back-propagation artificial neural networks (BP ANNs) to comprehensively process the three collected signal data sets, which successfully solves the problem of sensor failure caused by the large deviation of signal detection results, and greatly improves the prediction accuracy, detection range, and anti-interference of the sensor. …”
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The effect of smoking on breast cancer screening results in female population: a study in Wu wei, China by Qian Sun, Junguo Hu, Yancheng Ye, Li Ma, Xiaoqian Zhang, Rui Yang, Yue Huang

“…Abstract Objective Based on Anderson model theory, a pathway analysis model of breast cancer screening population in this region was constructed to explore the impact of smoking on breast cancer screening results, in order to provide reference for refining breast cancer screening strategies and programs. Methods Firstly, the distribution of each variable in terms of whether breast related diseases were detected was described by single factor analysis. …”
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"The COVID-19 pandemic in BRICS: Milestones, interventions, and molecular epidemiology". by Stephanie van Wyk, Monika Moir, Anindita Banerjee, Georgii A Bazykin, Nidhan K Biswas, Nikita Sitharam, Saumitra Das, Wentai Ma, Arindam Maitra, Anup Mazumder, Wasim Abdool Karim, Alessandra Pavan Lamarca, Mingkun Li, Elena Nabieva, Houriiyah Tegally, James Emmanuel San, Ana Tereza R Vasconcelos, Joicymara S Xavier, Eduan Wilkinson, Tulio de Oliveira

“…The increased laboratory and bioinformatic capacity post-COVID-19 will support the detection of emerging pathogens.…”
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Endoscopic diagnosis and prevalence of early gastric cancer in India: A prospective study by Ashutosh Mohapatra, Sonmoon Mohapatra, Shruti Mahawar, Krushna Chandra Pani, Nachiketa Mohapatra, Mohan Ramchandani, Nageshwar Reddy, Mahesh K. Goenka, Noriya Uedo

“…Conclusion Our findings showed that the endoscopic detection of EGC is feasible in India. Optimal training on endoscopic diagnosis of EGC can improve the detection of such lesion. …”
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Molecular and Microscopic-Based Characterization of Plasmodium spp. in Fars and Hormozgan Provinces, South of Iran by Tahereh Mohammadzadeh, Gholamreza Hatam, Mohsen Kalantari, Bahador Sarkari, Mohammad Hosein Motazedian, Seyed Mahmoud Sadjjadi, Reza Safari

“…Despite malaria control programs in recent years, malaria transmission has not been eliminated in Iran. …”
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Multimedia Vision Improvement and Simulation in Consideration of Virtual Reality Reconstruction Algorithms by Jing He

“…Finally, the experimental test results show that the algorithm in this study can enhance the authenticity of image reconstruction, improve the accuracy of image corner detection, and effectively reduce the noise interference in the process of reconstructing the image.…”
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Leveraging an ensemble of EfficientNetV1 and EfficientNetV2 models for classification and interpretation of breast cancer histopathology images by Mahdi Azmoodeh-Kalati, Hasti Shabani, Mohammad Sadegh Maghareh, Zeynab Barzegar, Reza Lashgari

“…The advent of whole-slide scanners has revolutionized this process by enabling the use of Computer-Aided Detection (CAD) systems for automated analysis. …”
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Automated multi-class MRI brain tumor classification and segmentation using deformable attention and saliency mapping by Erfan Zarenia, Amirhossein Akhlaghi Far, Khosro Rezaee

“…Magnetic Resonance (MR) imaging remains the gold standard in clinical brain tumor diagnostics; however, it is a time-intensive and labor-intensive process. Consequently, the integration of automated detection, localization, and classification methods is not only desirable but essential. …”
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