Correction of Amplitude and Phase Errors of the Signal in Microprocessor Automation and Relay Protection Systems when Frequency Changes by F. A. Romaniuk, Yu. V. Rumiantsev, V. Yu. Rumiantsev

“…In microprocessor automation and relay protection systems, amplitude (effective) values and phase shifts of input signals are widely used as controlled parameters of electrical quantities. …”
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Exploiting compressed sensing and polynomial-based progressive secret image sharing for visually secure image selection encryption with authentication by Zhihua Gan, Shiping Song, Lin Zhou, Daojun Han, Jiangyu Fu, Xiuli Chai

“…Image encryption is an effective method to protect private images by converting them into meaningless ones, but many current image encryption algorithms still have security and efficiency problems. …”
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The ‘Implicit Intelligence’ of artificial intelligence. Investigating the potential of large language models in social science research by Ottorino Cappelli, Marco Aliberti, Rodrigo Praino

“…Researchers in ‘hard' science disciplines are exploring the transformative potential of Artificial Intelligence (AI) for advancing research in their fields. Their colleagues in ‘soft' science, however, have produced thus far a limited number of articles on this subject. …”
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Ensemble-based eye disease detection system utilizing fundus and vascular structures by Hongjie Yu, Xingbo Dong

“…This framework leverages dual-branch input, incorporating both retinal images and vessel segmentation images, along with transfer learning and ensemble learning algorithms. This enhances the accuracy of the diagnoses and the stability of the model, particularly in scenarios with small sample sizes. …”
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COVID-19 Pandemic Forecasting Using CNN-LSTM: A Hybrid Approach by Zuhaira M. Zain, Nazik M. Alturki

“…Along with recent advances in soft computing technology, researchers are now actively developing and enhancing different mathematical and machine-learning algorithms to forecast the future trend of this pandemic. …”
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OT-PCA: New Key-Recovery Plaintext-Checking Oracle Based Side-Channel Attacks on HQC with Offline Templates by Haiyue Dong, Qian Guo

“…By calling the publicly accessible HQC decoder, we build offline templates that enable efficient extraction of soft information for hundreds of secret positions with just a single PC oracle call. …”
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Current Approaches for Image Fusion of Histological Data with Computed Tomography and Magnetic Resonance Imaging by Philipp Nolte, Christian Dullin, Angelika Svetlove, Marcel Brettmacher, Christoph Rußmann, Arndt F. Schilling, Frauke Alves, Bernd Stock

“…Computed tomography (CT) or magnetic resonance imaging (MRI) scans performed prior to sectioning in combination with image registration algorithms provide an opportunity to regain access to morphological characteristics as well as to relate histological findings to the 3D structure of the local tissue environment. …”
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A review of flexible robotic gripping systems by Bahadir Tarhan, Seemal Asif, Phil Webb, Marco Chacin

“…It further explores the spectrum of actuation mechanisms that empower these grippers, from traditional electric and pneumatic systems to cutting-edge soft robotics technologies that offer unprecedented adaptability and safety. …”
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FOREIGN DISCOURSE AS A TOOL OF STATE STRATEGIC COMMUNICATION: CONCEPTUAL FOUNDATION by Maryna Skazhennyk

“…International broadcasting is defined as a fundamental instrument of soft power in building trust and mutual understanding on the international stage. …”
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Climate-resilient water management: Leveraging IoT and AI for sustainable agriculture by Syed Muhammad Zaigham Abbas Naqvi, Saddam Hussain, Muhammad Awais, Muhammad Naveed Tahir, Shoaib Rashid Saleem, Fuad A.M. Al-Yarimi, Mirjalol Ashurov, Oumaima Saidani, M.Ijaz Khan, Junfeng Wu, Zhang Wei, Jiandong Hu

“…However, it is now affecting the earth by causing a permanent seasonal shift. This seasonal shift is not only decreasing the yields of crops by shortening their growth duration but also critically affecting the water availability for irrigation purposes. …”
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Pandemic velocity: Forecasting COVID-19 in the US with a machine learning & Bayesian time series compartmental model. by Gregory L Watson, Di Xiong, Lu Zhang, Joseph A Zoller, John Shamshoian, Phillip Sundin, Teresa Bufford, Anne W Rimoin, Marc A Suchard, Christina M Ramirez

“…We embed a Bayesian time series model and a random forest algorithm within an epidemiological compartmental model for empirically grounded COVID-19 predictions. …”
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An Innovative Multiparametric Sensor Design for Detecting Microplastics and Heavy Metals by Ekrem Kursad Dal, Adem Gunes, Recai Kilic

“…The absorbance of incoming light and the shifted bandwidths in the spectrum can be evaluated by assessing multiparametric optical events. …”
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Intelligent Modeling; Single (Multi-layer perceptron) and Hybrid (Neuro-Fuzzy Network) Method in Forest Degradation (Case Study: Sari County) by somayeh mehrabadi

“…The mean squared error (MSE) was used to evaluate the performance of models, which was 0.0535, 0.0704, and 0.0908 for the perceptron neural network in the Levenberg-Marquardt, Bayesian regularization, and scaled conjugate gradient algorithms, respectively. Also, the MSE value for the neuro-fuzzy model in the optimization and hybrid algorithms was 0.0190 and 0.0102, respectively. …”
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How many grid-forming converters are needed? – A techno-economic perspective by Guoxuan Cui, Hongyang Jia, Ning Zhang, Fei Teng

“…The integration of renewable energy resources necessitates a shift from conventional grid-following converters (GFLs) to advanced grid-forming controls. …”
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Unmanned-Aerial-Vehicle Trajectory Planning for Reliable Edge Data Collection in Complex Environments by Zhengzhe Xiang, Fuli Ying, Xizi Xue, Xiaorui Peng, Yufei Zhang

“…However, existing UAV trajectory optimization algorithms often overlook the critical factor of the battery capacity, leading to potential mission failures or safety risks. …”
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Applications and Considerations of Artificial Intelligence in Veterinary Sciences: A Narrative Review by Hesameddin Akbarein, Mohammad Hussein Taaghi, Mahyar Mohebbi, Parham Soufizadeh

“…It also examines the primary machine learning algorithms used in relevant studies, highlighting emerging trends in the field. …”
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A survey on deep learning in UAV imagery for precision agriculture and wild flora monitoring: Datasets, models and challenges by Lorenzo Epifani, Antonio Caruso

“…In the last decade, it has been also widely used in Precision Agriculture (PA) and Wild Flora Monitoring (WFM) to address a set of problems with a big impact on economy, society and academia, heralding a paradigm shift across the industry and academia. Many applications in those fields involve image processing and computer vision stages. …”
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Phase Change Memory: A Review on Electrical Behavior and Use in Analog In‐Memory‐Computing (A‐IMC) Applications by Mattia Boniardi, Matteo Baldo, Mario Allegra, Andrea Redaelli

“…Abstract Recent development and progress of Artificial Intelligence (AI) algorithms made clear that this topic is a paradigm shift with respect to the past. …”
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A fluid flow model for the software defined wide area networks analysis by Karol Marszałek, Adam Domański

“…Introduced by the SDN decoupling between the control plane and the data plane, it enables advanced real-time traffic shaping and centralized traffic management. This shift allows dynamic routing and improved QoS mechanisms, with research exploring multi-path routing. …”
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The Comparison of Diffeomorphic Images Based on the Construction of Persistent Homology by Sergey N. Chukanov

“…The paper considers algorithms for constructing sets of barcodes for comparing diffeomorphic images, which are real values taken by persistent homology. …”
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