Hard-Wired Dopant Networks and the Prediction of High Transition Temperatures in Ceramic Superconductors by J. C. Phillips

“…The reasons for this success in an exponentially complex (non-polynomial complete, NPC) problem are discussed, and a critical comparison is made with previous polynomial (PC) theories. …”
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Waypoint Position Optimization for Accurate Ground-Based Arrival Time Control of Aircraft by Noboru Takeichi

“…Through numerical investigations, the feasibility of the waypoint position optimization and its effectiveness were clearly demonstrated in comparison with uniform arrangement cases. It was also clarified that the advantage of the multiple waypoint application was enhanced when larger arrival time control windows were available.…”
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A Parallel Image Denoising Network Based on Nonparametric Attention and Multiscale Feature Fusion by Jing Mao, Lianming Sun, Jie Chen, Shunyuan Yu

“…Convolutional neural networks have achieved excellent results in image denoising; however, there are still some problems: (1) The majority of single-branch models cannot fully exploit the image features and often suffer from the loss of information. (2) Most of the deep CNNs have inadequate edge feature extraction and saturated performance problems. …”
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Development of Rogers RT/Duroid 5880 Substrate-Based MIMO Antenna Array for Automotive Radar Applications by D. Subitha, S. Velmurugan, M. Vanitha Lakshmi, P. Poonkuzhali, T. Yuvaraja, Samson Alemayehu

“…In this paper, a novel 2 × 2 multiple-input multiple-output (MIMO) antenna array with four patch elements is designed. …”
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Improvement of in Vivo Quantification of [I]-Iodobenzovesamicol in Single-Photon Emission Computed Tomography/Computed Tomography Using Anatomic Image to Brain Atlas Nonrigid Regis... by Frederic Lamare, Joachim Mazere, Mathieu Attila, Willy Mayo, Henri De Clermont-Gallerande, Wassilios Meissner, Philippe Fernandez, Michele Allard

“…Brain anatomy variability is a major problem in quantifying functional images in nuclear medicine, in particular relative to aging and neurodegenerative diseases. …”
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A MultiModal Detection Method for UHV Substation Faults Based on Robot Inspection and Deep Learning by Rong Meng, Zhao-lei Wang, Zhi-long Zhao, Jian-peng Li, Wei-ping Fu

“…The average detection accuracy under multiple intersection ratio thresholds is also the highest, and the performance is better than the other three comparison algorithms.…”
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A Comparative Study of Entrepreneurship Education Curriculum and Social-emotional Learning for Children by Batool Sabzeh, Nasrin Ansari

“…Methods: This study involved a detailed comparison that was conducted through the utilization of the Brody method. …”
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A Novel Reduced Component High Boost Multilevel Inverter by Pratik Kar, Rachita Ruchismita Sarangi, Durgesh Prasad Bagarty, Prakash Kumar Ray, Asit Mohanty, Manzoore Elahi M. Soudagar, Yasser Fouad, Sagar Shelare

“…Another potential problem is high inrush current during charging and this is also addressed in a unique. …”
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A Bionic Social Learning Strategy Pigeon-Inspired Optimization for Multi-Unmanned Aerial Vehicle Cooperative Path Planning by Yankai Shen, Xinan Liu, Xiao Ma, Hong Du, Long Xin

“…This paper proposes a bionic social learning strategy pigeon-inspired optimization (BSLSPIO) algorithm to tackle cooperative path planning for multiple unmanned aerial vehicles (UAVs) with cooperative detection. …”
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Extracting Water Surfaces of the Dike-Pond System from High Spatial Resolution Images Using Deep Learning Methods by Jinhao Zhou, Kaiyi Fu, Shen Liang, Junpeng Li, Jihang Liang, Xinyue An, Yilun Liu

“…Our analysis reveals that the low R-score problem is due to the omission of the outer ring of WDPS rather than the omission of the quantity of WDPS. …”
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Short-term power prediction of photovoltaic power station based on long short-term memory-back-propagation by Chi Hua, Erxi Zhu, Liang Kuang, Dechang Pi

“…At the same time, a horizontal comparison with the multiple linear regression and the support vector machine shows that the long short-term memory-back-propagation method has several advantages. …”
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A DBN-Based Deep Neural Network Model with Multitask Learning for Online Air Quality Prediction by Jiangeng Li, Xingyang Shao, Rihui Sun

“…The MTL-DBN-DNN model is evaluated with a dataset from Microsoft Research. Comparison with multiple baseline models shows that the proposed MTL-DBN-DNN achieve state-of-art performance on air pollutant concentration forecasting.…”
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Manhattan Distance-based K-Medoids Clustering Improvement for Diagnosing Diabetic Disease by Solikhun, Muhammad Rahmansyah Siregar, Lise Pujiastuti, Mochamad Wahyudi

“…Quantum computing utilizes quantum bits, or qubits, which can represent multiple states at the same time. Compared to classical computers, quantum computing has the potential for an exponential speedup in problem-solving. …”
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Eel and Grouper Optimizer improvement three-stage algorithm for photovoltaic MPPT by ZiJian Zhou, YanHong Fang

“…., it will produce a power voltage characteristic curve with multi-peak characteristics, and the traditional Maximum Power Point Tracking (MPPT) technology will fall into the local optimal solution when it meets multiple peaks. In order to solve this problem, the latest intelligent optimization algorithm, Eel and Grouper Optimizer (EGO), is used to integrate chaos mapping, Grasshopper Optimization Algorithm (GOA) and other improved methods on the basis of the original algorithm. …”
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Partial Discharge Localization of Gas-Insulated Switchgear via Electromagnetic Time Reversal Enhanced by Windowed Phase Spectrum Cross-Correlation Criterion by Zongyao Wang, Yuan Yan, Lei Jin, Zixing Xu, Shuangzan Ren, Yanliang He, Saike Yang, Hongjie Li

“…However, the classical EMTR method analyzing individual sensor data independently suffers from the problems of multiple spurious solutions and noise interferences. …”
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Ant Colony Optimization Analysis on Overall Stability of High Arch Dam Basis of Field Monitoring by Peng Lin, Xiaoli Liu, Hong-Xin Chen, Jinxie Kim

“…By considering various material parameters obtained using different analysis methods, comparative analyses were conducted on dam displacements, stress distribution characteristics, and overall dam stability. The comparison results show that the proposal model can effectively solve for feedback multiple parameters of dam concrete and rock material and basically satisfy assessment requirements for geotechnical structural engineering discipline.…”
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Dynamic Pavement Distress Image Stitching Based on Fine-Grained Feature Matching by Yuchuan Du, Zihang Weng, Chenglong Liu, Difei Wu

“…Duplicate collections for the same distress and multiple overlaps of defects are both practical problems that greatly affect the detection results. …”
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Efficient Periodic Broadcasting for Mobile Networks at Small Client Receiving Bandwidth and Buffering Space by Hsiang-Fu Yu, Yao-Tien Wang, Jong-Yih Kuo, Chu-Yi Chien

“…In comparison with other similar schemes, FiB yields smallest waiting time. …”
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Research on Background Noise Separation of Reducers Based on VMD and FastICA by Li Weilin, Jiang Yangming, Zhang Zhongjie, Liu Ting, Lin Ting, Cheng Xu, Chen Feng, Wang Keyu, Zeng Hao

“…The method firstly adopted the VMD to decompose the speed reducer mixed signal into multiple modal components, and then further separated and demixed the obtained modal components through the FastICA to obtain the multidimensional independent components. …”
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The Iceberg Model of Change: A taxonomy differentiating approaches to change by Christian A. Mahringer, Laura Schmiedle, Lisa Albicker, Simone Mayer

“…The distinction approach conceptualizes change as a series of discrete states of an entity or system at multiple points in time or as phases, enabling comparison of those states. …”
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