Integrating Machine Learning Workflow into Numerical Simulation for Optimizing Oil Recovery in Sand-Shale Sequences and Highly Heterogeneous Reservoir by Dung Bui, Abdul-Muaizz Koray, Emmanuel Appiah Kubi, Adewale Amosu, William Ampomah

“…This paper aims to evaluate the efficiency of various machine learning algorithms integrating with numerical simulations in optimizing oil production for a highly heterogeneous reservoir. …”
Get full text

A challenge in A(G)I, cybernetics revived in the Ouroboros Model as one algorithm for all thinking by Knud Thomsen

“…Logic deduction as well as intuitive guesses are claimed as produced on the basis of one compartmentalized memory for schemata and a pattern-matching, i.e., monitoring process termed consumption analysis. …”
Get full text

Secure Biometric Identification Using Orca Predators Algorithm With Deep Learning: Retinal Iris Image Analysis by Louai A. Maghrabi, Mohammed Altwijri, Sami Saeed Binyamin, Fouad Shoie Alallah, Diaa Hamed, Mahmoud Ragab

“…DL models namely convolutional neural networks (CNN) and recurrent neural networks (RNN) employed for feature removal as well as matching, permitting complex and individual patterns of retina and iris to be taken with notable precision. …”
Get full text

Seismic clusters and fluids diffusion: a lesson from the 2018 Molise (Southern Italy) earthquake sequence by Stefania Gentili, Piero Brondi, Giuliana Rossi, Monica Sugan, Giuseppe Petrillo, Jiancang Zhuang, Stefano Campanella

“…We performed a further analysis of the spatio-temporal pattern of seismicity in Molise, using the Principal Component Analysis (PCA), the ETAS algorithm, as well as other analyses, aimed at detecting possible migration and diffusion signals. …”
Get full text

Design and Dimension Optimization of Rigid–Soft Hand Function Rehabilitation Robots by Rui Zhang, Meng Ning, Yuqian Wang, Jun Yang

“…Hierarchical constraint modeling and an improved artificial bee colony algorithm optimize linkage dimensions and control strategies, achieving enhanced human–robot kinematic matching. …”
Get full text

Memprediksi Pola Ban Hero Pada Game Mobile Legends Menggunakan Algoritma Apriori by Jordy Lasmana Putra, Syarah Seimahuira

“…Therefore, this study was conducted to predict the pattern of hero tires using the Apriori algorithm which was carried out on 9 attributes of Hero Mobile Legends. …”
Get full text

Evaluation of machine learning algorithms in tunnel boring machine applications: a case study in Mashhad metro line 3 by Morteza Abbasi, Amir Hossein Namadchi, Mehdi Abbasi, Mohsen Abbasi

Get full text

Deep learning outperforms existing algorithms in glacier surface velocity estimation with high-resolution data – the example of Austerdalsbreen, Norway by Harald Zandler, Jakob Abermann, Benjamin A. Robson, Alexander Maschler, Thomas Scheiber, Jonathan L. Carrivick, Jacob C. Yde

“…Therefore, we tested the potential of new deep learning-based image-matching algorithms for deriving glacier surface velocities across the ablation area of a glacier with strong spatial variability in surface velocities (<5 m/yr to >100 m/yr) and substantial changes in surface properties between image acquisitions. …”
Get full text

Validation of a data-driven motion-compensated PET brain image reconstruction algorithm in clinical patients using four radiotracers by Ole L. Munk, Anders B. Rodell, Patricia B. Danielsen, Josefine R. Madsen, Mie T. Sørensen, Niels Okkels, Jacob Horsager, Katrine B. Andersen, Per Borghammer, Joel Aanerud, Judson Jones, Inki Hong, Sven Zuehlsdorff

“…Conclusion The PET brain MoCo reconstruction algorithm was robust and worked well for four different tracers with markedly different uptake patterns. …”
Get full text

A study of government regulation’s strategy for solving the algorithmic black-box puzzle of digital platforms: a complex network-based perspective by Gehui Zhu, Mingliang Tang, Xiao Jian, Tong Mu

“…The small world model can effectively describe the connectivity between nodes (users, platforms, regulators, etc.) in the ecosystem of digital platforms, which helps researchers to understand the complexity of the network structure and the propagation pattern of information in the network and design more effective regulatory strategies. …”
Get full text

Microstrip Patch Antenna Design Using a Four-Layer Feed Forward Artificial Neural Network Trained by Levenberg-Marquardt Algorithm by Jitu Prakash Dhar, Maodudul Hasan, Eisuke Nishiyama, Ichihiko Toyoda

“…The ANN contains a multi-layered network architecture that learns and generalizes complex patterns through the LM algorithm and weight optimization based on the datasets without any feature extraction like Deep Neural Network (DNN). …”
Get full text

Validation of the NISAR Multi-Scale Soil Moisture Retrieval Algorithm across Various Spatial Resolutions and Landcovers Using the ALOS-2 SAR Data by Preet Lal, Gurjeet Singh, Narendra N. Das, Rowena B. Lohman

“…This study investigates the performance of soil moisture retrieval across 5 diverse test sites, covering forest, shrubland, cropland, and grassland environments, as well as hydrometeorological conditions ranging from arid to polar. The algorithm was assessed at 100 [m] and 200 [m] resolutions, revealing consistent moisture patterns, with the finer resolution offering greater detail. …”
Get full text

Optimized Metamaterials for Design of Enhanced-Performance High Order Mode Dipole-Driven Yagi-Uda Antenna for Millimeter Wave Applications by Bashar A. F. Esmail, Dustin Isleifson, Slawomir Koziel, Anna Pietrenko-Dabrowska

“…The metamaterial array was optimized using the trust-region (TR) algorithm, resulting in a significant gain enhancement, reaching 13.8 dBi at 28 GHz while maintaining the operational bandwidth in terms of impedance matching. …”
Get full text

Improvement and Characteristic Analysis of Car-Following Models in Mixed Traffic Flow Based on Empirical Datasets by Huanfeng Liu, Hanfei Wang, Ziyan Wu, Anning Song, Zishuo Zhang

“…First, the potential car-following patterns in mixed traffic are analyzed, and an improvement to the Intelligent Driver Model (IDM) is made by incorporating dynamic response times. …”
Get full text

ARMC-RL: Adaptive Caching With Reinforcement Learning for Efficient 360° Video Streaming in Edge Networks by Minji Choi, Somin Park, Jin-Hyun Ahn, Dong Ho Kim, Cheolwoo You

“…To address this, we propose an adaptive recency masking caching (ARMC) algorithm for 360° video streaming in MEC environments. …”
Get full text

Concrete Dam Deformation Prediction Model Based on Attention Mechanism and Deep Learning by ZHANG Hongrui, CAO Xin, JIANG Chao, ZU Anjun, XU Mingxiang

“…To address the multi-factor coupling, temporal dependency, and nonlinear complexity characteristics of concrete dam deformation, this paper proposed a hybrid prediction model integrating attention mechanisms, bidirectional long short-term memory (BiLSTM) networks, and sparrow search algorithm (SSA). The model comprehensively matched the multiple requirements of information weighting, temporal dependency modeling, and model optimization in concrete dam deformation prediction, forming a synergistic enhancement effect among methods.The attention mechanism operates on both feature and temporal dimensions to comprehensively enhance the model's focus on critical information. …”
Get full text

A configuration and scheduling optimization method for integrated energy systems considering massive flexible load resources by Zihao Wang, Shenhua Wang, Hanwen Ni, Junyin Wang, Jun Zhang

“…Flexible loads were categorized into three types to match different electricity consumption patterns. …”
Get full text

RETE-ADH: An Improvement to RETE for Composite Context-Aware Service by Milhan Kim, Kiseong Lee, Youngmin Kim, Taejin Kim, Yunseong Lee, Sungrae Cho, Chan-Gun Lee

“…We propose a new pattern matching algorithm for composite context-aware services. …”
Get full text

A Systematic Study on the Extraction and Image Reproduction of Ceramic Sculpture Artworks by Yuhong Wang

“…In order to solve the research on the extraction of ceramic sculpture artwork patterns, and, in the process of image reproduction, the problem of too few feature points in the object image, the author proposes an image stitching algorithm that combines SIFT and MSER algorithms. …”
Get full text

Synthesis of shared aperture thinned interleaved arrays with elements in concentric rings by Zhigang GU, Longjun LI, Jikuan HU

“…Among planar array antennas, concentric ring array (CRA) antennas have received considerable interest since it is symmetric and provides invariant beam pattern for 360° azimuthal coverage.In case of limited antenna aperture, there is great value to thinned interleaved CRA with low peak side lobe levels and a narrow main beam.The application of the cubic interpolation and density-weighting method in shared aperture array design was demonstrated by the low peak side lobe level synthesis of CRA.By adopting the Fourier-Bessel transform the relationship between the element’s excitation and array pattern, thinned interleaved problems were formulated as time-frequency synthesis problems.On the basis of the density-weighting method, element excitations of interleaved sub-array were carefully selected in an odd-even manner, which ensured the pattern matching of the generated sub-array.The iterative FFT algo rithm was adopted to thin the concentric ring array.Simulation results show that the proposed algorithm can achieve a favorable thinned and interleaved concentric ring array design with matched power patterns and low peak sidelobe levels.The problem of thinned and interleaved concentric ring arrays is solved, and the design of multi-function shared aperture thinned interleaved arrays with elements in concentric rings is realized.…”
Get full text