MRI Biomarkers for Hand-Motor Outcome Prediction and Therapy Monitoring following Stroke by U. Horn, M. Grothe, M. Lotze

“…We rather argue for a combination of different measures in an algorithm to classify fine-graded subgroups of patients. …”
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The significance of the leaf area index for evapotranspiration estimation in SWAT-T for characteristic land cover types of West Africa by F. Merk, T. Schaffhauser, F. Anwar, Y. Tuo, J.-M. Cohard, M. Disse

“…The comprehensive parameter set is then optimized using the shuffled complex evolution algorithm. Finally, we apply a benchmarking test to assess the performance of SWAT-T with respect to the simulation of AET and to determine the relevance of detailed LAI modeling. …”
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Image Preprocessing Framework for Time-domain Astronomy in the Artificial Intelligence Era by Liang Cao, Peng Jia, Jiaxin Li, Yu Song, Chengkun Hou, Yushan Li

“…This paper introduces a novel framework for image preprocessing that integrates key algorithms specifically modified for graphics processing unit architecture, enabling large-scale image preprocessing for different algorithms. …”
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Benchmarking of Multispectral Pansharpening: Reproducibility, Assessment, and Meta-Analysis by Luciano Alparone, Andrea Garzelli

“…The proposed benchmarking protocol employs the haze-corrected AWLP-H and exploits meta-analysis for cross-comparisons among different experiments. After assessment on five different datasets, it was found to provide reliable and consistent results in ranking different fusion methods.…”
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Three-State Hidden Markov Model for Spectrum Prediction in Cognitive Radio Networks by Emmanuel Oluwatosin Rabiu, Damilare Oluwole Akande, Zachaeus Kayode Adeyemo, Isaac Akinwale Akanbi, Oluwole Oladele Obanisola

“…The transmission, emission and initial state probabilities of the proposed 3-state HMM parameters were derived based on the three canonical problems associated with HMM. The evaluation, decoding and learning problems were solved using Forward algorithm, Viterbi algorithm and the Baum-Welch algorithm, respectively. …”
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When Similarity Becomes Opposition: Synonyms and Antonyms Discrimination in DSMs by Enrico Santus, Qin Lu, Alessandro Lenci, Chu-Ren Huang

“…During the evaluation, we have noticed that APAnt also has a particular preference for hypernyms.…”
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Class-Based Weighted Fair Queuing Scheduling on Dual-Priority Delta Networks by D. C. Vasiliadis, G. E. Rizos, C. Vassilakis

“…Contemporary networks accommodate handling of multiple priorities, aiming to provide suitable QoS levels to different traffic classes. In the presence of multiple priorities, a scheduling algorithm is employed to select each time the next packet to transmit over the data link. …”
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Pavement Potholes Quantification: A Study Based on 3D Point Cloud Analysis by Qingzhen Sun, Lei Qiao, Yibo Shen

“…For evaluation, comparative experiments were conducted under different lighting conditions and shooting distances. …”
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Application of Surface Roughness Analysis on Micro–Computed Tomographic Images of Bone Erosion: Examples Using a Rodent Model of Rheumatoid Arthritis by Matthew D. Silva, Jason Ruan, Elizabeth Siebert, Anneli Savinainen, Bruce Jaffee, Lisa Schopf, Sudeep Chandra

“…The roughness of the control samples was similar from each study (less than 4% different), demonstrating the robustness of the algorithm. …”
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STATE PREDICTION OF WIND TURBINE GENERATOR BASED ON K-CNN AND N-GRU (MT) by CHAI Tong, YUAN YiPing, MA JunYan, FAN PanPan

“…Secondly, to solve the problem of ignoring shallow features in traditional feature extraction, CNN was used to extract the features of one-dimensional fusion parameters in layers, and KPCA was used to reduce the feature extraction results of different layers to one dimension. Then, to solve the problem of parameter optimization of the traditional GRU algorithm, the neural network architecture search was used to improve the GRU algorithm, and the N-GRU model was obtained. …”
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Machine learning based on patch antenna design and optimization for 5 G applications at 28GHz by Md․Sohel Rana, Sheikh Md․ Rabiul Islam, Sanjukta Sarker

“…The antenna utilizes two different substrate materials, each having a significantly different relative permittivity. …”
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A novel method for assessing cycling movement status: an exploratory study integrating deep learning and signal processing technologies by Yingchun He, Yi-haw Jan, Fan Yang, Yunru Ma, Chun Pei

“…Results of t-tests showed significant differences (p = 0.003 and 0.030) for various acceleration CIAs, indicating our method could distinguish different movement statuses.The KR algorithm also demonstrated excellent intra-session reliability (ICC = 0.988). …”
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Very-Large-Scale Integration-Friendly Method for Vital Activity Detection with Frequency-Modulated Continuous Wave Radars by Krzysztof Ślot, Piotr Łuczak, Paweł Kapusta, Sławomir Hausman, Arto Rantala, Jacek Flak

“…The adverse effects of the primary constraint, the severe restriction on admissible weight resolution, have been handled by introducing a novel training loss component and a simple mechanism for diversifying the effective weight sets of different network neurons. Experimental evaluation of the presented method, performed using the dataset of indoor recordings, indicates that the proposed simple, hardware implementation-friendly algorithm provides over 94% human detection accuracy and similar F1 scores.…”
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Modeling of Collusion Behavior in the Electrical Market Based on Deep Deterministic Policy Gradient by Yifeng Liu, Jingpin Chen, Meng Chen, Zhongshi He, Ye Guo, Chenghan Li

“…The evolution of the electricity market has brought the issues of market equilibrium and collusion to the forefront of attention. …”
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From Incoherence to Sustainability: Performance, Activism, and Social Media in the Most Recent Russian Poetry by Kirill Korchagin

“…The central hypothesis of this article is that all of these poets react differently to the methods of discursive organization provided (and enforced) by social networks and strive in different ways to liberate themselves from the censorship of the algorithm: some emphasize the discursive incoherence of the platform, while others, on the contrary, seek to develop a sustainable manner of uniting private discourses into a new totality. …”
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From Incoherence to Sustainability: Performance, Activism, and Social Media in the Most Recent Russian Poetry by Kirill Korchagin

“…The central hypothesis of this article is that all of these poets react differently to the methods of discursive organization provided (and enforced) by social networks and strive in different ways to liberate themselves from the censorship of the algorithm: some emphasize the discursive incoherence of the platform, while others, on the contrary, seek to develop a sustainable manner of uniting private discourses into a new totality. …”
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Genome-Wide Tool for Sensitive de novo Identification and Visualisation of Interspersed and Tandem Repeats by Ruslan Kalendar, Ulykbek Kairov

“…Studying these repeats of different origins is essential for understanding the evolution and adaptation of a given organism. …”
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Pseudorandom Number Generator Based on Three Kinds of Four-Wing Memristive Hyperchaotic System and Its Application in Image Encryption by Xi Chen, Shuai Qian, Fei Yu, Zinan Zhang, Hui Shen, Yuanyuan Huang, Shuo Cai, Zelin Deng, Yi Li, Sichun Du

“…Finally, an image encryption algorithm based on PRNG is adopted. In the encryption algorithm, the optimized Arnold matrix scrambling method and the diffusion processing based on XOR are used to obtain the final encrypted image. …”
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Source–load matching and energy storage optimization strategies for regional wind–solar energy systems by Y. Zhu, Q. Li, Z. Li, Z. Zhang

“…Concurrently, a gray-wolf-optimization (GWO) algorithm based on Tent chaotic mapping is employed to optimize edge energy storage at different load sides, minimizing overall grid-connected load-power fluctuations. …”
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The Effect of Transitive Closure on the Calibration of Logistic Regression for Entity Resolution by Yumeng Ye, John Talburt

“…Part of the problem is that the measures of precision and recall as calculated in data mining classification algorithms such as logistic regression is different from applying these measures to entity resolution (ER) results.. …”
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