Digital Twin Approach for Fault Diagnosis in Photovoltaic Plant DC–DC Converters by Pablo José Hueros-Barrios, Francisco Javier Rodríguez Sánchez, Pedro Martín Sánchez, Carlos Santos-Pérez, Ariya Sangwongwanich, Mateja Novak, Frede Blaabjerg

“…Once a discrepancy is flagged, a second step classifier processes normalized time-series windows to identify the specific fault type. …”
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The Impact of a Deep Learning Self-Adaptive Colour Restoration Pipeline for Deep Underwater Images in 3D Reconstruction by M. Vlachos, D. Skarlatos, S. Demesticha

“…Underwater photogrammetry is challenged by image degradation caused by water absorption and scattering, which negatively impacts feature detection and 3D reconstruction quality. This study aims to evaluate the effectiveness of a Feedforward Neural Network-based colour correction method designed to enhance underwater image quality, thereby improving feature matching and subsequent 3D reconstruction processes. …”
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Finding a New Balance Point: Intelligent Optimization of Multi-Target Cognitive Electronic Reconnaissance Strategy for Unmanned Aerial Vehicles by Yun Zhang, Shixun You, Yunbin Yan, Qiaofeng Ou, Xiang Zhu

“…Netted radar system is used to implement detection of aerial targets to cover high-value military sites. …”
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A Scalable Security Approach in IoT Networks: Smart Contracts and Anomaly-Based IDS for Gateways Using Hardware Accelerators by Duc-Minh Ngo, Dominic Lightbody, Andriy Temko, Colin C. Murphy, Emanuel Popovici

“…The ANN model has achieved the highest processing speed at 20Gbps. The results indicate that integrating Blockchain and anomaly-based IDS significantly enhances scalable security in IoT networks.…”
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Guard Beams: Coverage Enhancement of UE-Centered ISAC via Analog Multi-Beamforming by Rizqi Hersyandika, Adham Sakhnini, Yang Miao, Qing Wang, Sofie Pollin

“…Our multi-stage sensing pipeline applied to the guard beams significantly reduces the complexity of sensing signal processing required to detect approaching blockers while maintaining accuracy comparable to that of exhaustive scanning based on the grid-searching method. …”
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Enhancing security in electromagnetic radiation therapy using fuzzy graph theory by Radhey Lal, Rajiv Kumar Singh, Dinesh Kumar Nishad, Saifullah Khalid

“…The system maintained linear scaling in processing time from 180 ms at 1000 to 320 ms at 100,000 records, with CPU utilization remaining between 65 and 72%. …”
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High-dimensional one-shot optical field compressive sensing of structured light by Yaodan Hu, Ting Men, Mingdong Yan, Weiqi Tang, Haocheng Tang, Kuanjun Fan, Zhengyan Li

“…It is believed that this light detection framework can not only be further compactly implemented for high-dimensional one-shot light detectors, but also observe dynamic physical processes in real-time.…”
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The state of cancer care in Russia: breast cancer. Epidemiology and survival of patients. The impact of the SARS-CoV-2-beta-coronavirus epidemic (clinical and population study) by V. M. Merabishvili, V. F. Semiglazov, A. V. Komiakhov, T. Yu. Semiglazova, P. V. Krivorotko, А. M. Belyaev

“…To study the impact of the coronavirus pandemic on the dynamics of the process of detection, mortality and survival of breast cancer patients in Russia and in the North-Western Federal District of the Russian Federation.Materials and methods. …”
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Genetic relationships among okra (Abelmoschus esculentus (L.) Moench) cultivars in Nigeria by Bashir O. Bello, D. AMINU

“…A high genotypic coefficient of variation, heritability, and genetic advance were detected in all the characters except for days to anthesis and fresh capsule diameter. …”
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Triple Test Cross Analysis for Genetic Components of Salinity Tolerance in Spring Wheat

“…The identification of genes whose expression enables plants to adapt to and/or tolerate salt stress is essential for breeding programs, but little is known about the genetic mechanisms of traits in saline conditions. …”
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Spatial Resilience Modelling of Merapi Volcano Ecosystem Post-Eruption by Emma Soraya, Wahyu Wardhana, Ronggo Sadono

“…The transitions occured in term of natural succession as well as human intervention in restoration programs. However, the success of restoration actions to recover the ecosystem to the pre eruption status was not always able to be detected within the period of five years post eruption.…”
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Fowl Cholera in Chickens: Current Trends in Diagnosis and Phenotypic Drug Resistance in Gondar City, Ethiopia by Abdo Megra Geda

“…It is also important to assess the disease-associated factors that enhance the occurrence of the disease, in addition to providing the disease preventive and control measures and vaccination programs based on the diagnosis of its causative agent.…”
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Nationwide Prevalence of Dental Caries in Turkish Children: A Meta-Analysis by Ezgi Eroğlu Çakmakoğlu, Ayşe Günay

“…Targeted preventive measures—such as nationwide dental screenings and school-based fluoride programs—are urgently needed.…”
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MAXIMAL CONCENTRATIONS OF SENSITIVE COMPONENTS IN BURDEN, SUBJECT TO REACTIONARY MECHANICAL ALLOYING by F. G. Lovshenko, G. F. Lovshenko, B. B. Hina

“…The problem of detection of maximal content of reacting substances in burden, undergoing processing in mechanoreactor, providing safety of realization of the reaction mechanical alloying, is solved on the basis of the modern conceptions on mechanism of self-distributing high-temperature synthesis with using method of thermodynamic modeling.…”
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Staining method for coronary arteries by E. G. Dmitrieva, S. L. Khatsko, A. A. Yakimov

“…Detection of elastic and collagen fibers in the same histological section to determine their relationships and quantification is important for connective tissue investigations. …”
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Current application, possibilities, and challenges of artificial intelligence in the management of rheumatoid arthritis, axial spondyloarthritis, and psoriatic arthritis by Emre Bilgin

“…For PsA, AI has also allowed for early detection among psoriasis patients using genetic markers, immune profiling, and EHR-based natural language processing systems. …”
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Recent Advancement in Postharvest Loss Mitigation and Quality Management of Fruits and Vegetables Using Machine Learning Frameworks by Abha Singh, Gayatri Vaidya, Vishal Jagota, Daniel Amoako Darko, Ravindra Kumar Agarwal, Sandip Debnath, Erich Potrich

“…Deep learning has shown to be a sophisticated approach for big data analysis, with several successful cases in image processing, object identification, and other domains. …”
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Enhanced SVM-based model for predicting cyberspace vulnerabilities: Analyzing the role of user group dynamics and capital influx. by Yicheng Long

“…Furthermore, the model demonstrates a 22.2% improvement in computational efficiency, measured as the ratio of prediction count to processing time. It also exhibits lower false positive rates and greater stability in detecting common cyberattacks such as distributed denial of service, phishing, and malware. …”
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Emerging pollutants: Risks in salmon fish migration. A review by L. S. Abramova, A. V. Kozin, E. S. Guseva

“…The presence of pollutants in the aquatic environment depends on a source, their ability to bioaccumulate, as well as to degrade in the processes of biological and abiotic purification. High-resolution mass spectrometry in combination with gas or liquid chromatography can be recommended for detection of new pollutants. …”
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Learning Omni-Dimensional Spatio-Temporal Dependencies for Millimeter-Wave Radar Perception by Hang Yan, Yongji Li, Luping Wang, Shichao Chen

“…Our method involves innovative signal processing techniques, including a 3D CNN for spatio-temporal feature extraction and an encoder–decoder framework with cross-shaped receptive fields specifically designed to capture the sparse and non-uniform characteristics of radar signals. …”
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