Performance Evaluation of a Radial Distribution Network Under Emerging Load Prediction Modeling Approach and DG Integration Using a Particle Swarm Optimization Algorithm by Demsew Mitiku Teferra

“…The study further examines the network’s operational efficiency in terms of power loss, voltage stability index (VSI), average voltage deviation index (AVDI), loss of load probability (LOLP), energy not supplied (ENS), and average energy not supplied (AENS). …”
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A Systematic Review of Natural Language Processing Techniques for Early Detection of Cognitive Impairment by Ravi Shankar, PhD, Anjali Bundele, MPH, Amartya Mukhopadhyay, FRCP

“…Longitudinal studies (n=9) reported potential for early detection but were limited by smaller sample sizes (average n=159) compared with cross-sectional studies (n=42; average n=274). …”
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Alertness assessment by optical stimulation-induced brainwave entrainment through machine learning classification by Yong Zhou, Yizhou Tan, Shasha Wang, Hanshu Cai, Ying Gu

“…We found that Naive Bayes model showed the best classification efficacy in 30 Hz optical stimulation, with AUC reaching 0.90, an average accuracy of 0.90, an average sensitivity of 0.89, and an average specificity of 0.90. …”
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Otimização conjunta de gráficos de X-barra - S ou X-barra - R: um procedimento de fácil implementação Joint optimization of X-bar - S or X-bar - R charts: an easily implemented pro... by Eugenio K. Epprecht, Adriana Leiras

“…Three alternative problem formulations are allowed: minimization of the average time to signal subject to a sampling cost constraint; minimization of the sampling cost subject to a constraint on the average times to signal; and multi-objective optimization of both the average time to signal and the sampling cost. …”
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Multi-objective trajectory planning for connected and autonomous vehicles in mixed traffic flow by Hui Li, Yunfei Ge, Yahui Guo, Yu Guan, Xu Zhang

“…Abstract As urban traffic complexity continues to rise, challenges related to traffic efficiency, fuel consumption, and safety are becoming increasingly critical. …”
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SCREENING ELECTROMAGNETIC FIELDS BY MEANS OF SCREENS FROM MATRIX COMPOSITES, CONTAINING BIISOTROPIC FRACTIONS by V. T. Erofeenko, V. F. Bondarenko

“…A procedure for solution of the boundary-value problem of screening electromagnetic fields of concentrated sources of electrical and magnetic dipoles by means of homogeneous magnetodielec-tric screens, containing sparse system of spherical fractions with complex permeability and permittivi-ty and complex parameters of biisotropy, is developed. …”
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Human Action Recognition Method Based on Multi-channel Fusion by Zhiyong TAO, Xijun GUO, Xiaokui REN, Ying LIU, Zemin WANG

“…This capability is crucial for accurately recognizing complex and continuous actions. A global average pooling (GAP) layer is implemented to bridge the gap between the extracted feature maps and the action classifier. …”
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Compensation of Atmospheric Turbulence Phase Distortion Using Neural Network Adaptive Optics by Raaid Nawfee Hassan

“…The Strehl ratio (SR) decreases from an average of 0.548 for a variance of 0.2 to 0.020 for a variance of 0.6, while the mean squared error (MSE) increases from an average of 0.613 to 5.414. …”
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Distributed Downlink Power Control by Message-Passing for Very Large-Scale Networks by Illsoo Sohn

“…The practical issues for implementing the proposed BP approach are extensively discussed in terms of the computational complexity, signaling overhead, convergence, and latency. …”
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Knowledge Driven Synthesis Using Resource-Capability Semantics for Control Software Design by Amar Banerjee, Venkatesh Choppella

“…The proposed approach reduces the average engineering time by 70% and generates on an average 60% of the executable code in each use-case. …”
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Quantitative evaluation of college music teaching pronunciation based on nonlinear feature extraction by Wang Aiping

“…The complexity and diversity of different music styles created by different composers make music evaluation a very difficult problem. …”
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A multi-band spectrum sensing method based on sticky hidden Markov model by Zhongjie JIA, Ming JIN, Xiaoqun SONG

“…Existing multi-band spectrum sensing methods often use the sparsity of broadband spectrum.However, high spectrum occupancy rate of primary users degrades their performance severely.To address this issue, a novel multi-band spectrum sensing method was proposed by exploiting the state correlation among adjacent frequency bands.Firstly, a sticky hidden Markov model (SHMM) was established by regarding the multi-band states and measured energies as hidden and observed variables.In the SHMM, a sticky factor was introduced to represent the state correlation among adjacent frequency bands.Secondly, iterative expressions for the parameters of SHMM were derived.Finally, multi-band spectrum sensing was implemented by obtaining the posterior mean of observations from every frequency bands.Simulation results show that the proposed method outperforms existing methods, and when the false alarm probability is 0.1, the average frequency band occupancy rate is 50%, and the average signal-to-noise ratio is -12 dB, the detection probability can reach close to 0.99, which is about 30% higher than the detection probability of other methods.In addition, the proposed method had a faster convergence rate than existing methods and therefore has lower computational complexity.…”
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A deep neural network model with spectral correlation function for electrocardiogram classification and diagnosis of atrial fibrillation by Sara Mihandoost

“…The obtained results demonstrate that the proposed approach efficiently represents ECG signals through SCF coefficients, leading to the accurate detection of AF with an average accuracy of 92.76% and an average F1-score of 89.1%.…”
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Tree species richness affects the trophic structure of soil oribatid mites via litter functional diversity and canopy cover: Evidence from stable isotope analysis (15N, 13C) by Yannan Chen, Xue Pan, Jing-Ting Chen, Ming-Qiang Wang, Chenglin Liu, Yu Chen, Zhijing Xie, Chao-Dong Zhu, Jun Chen, Stefan Scheu, Mark Maraun

“…More open canopy was associated with lower Δ13C signatures and a larger range in Δ13C signatures indicating that soil food webs become more complex when light conditions are more variable. Further, high litter C/N ratio increased the average and range of 15N signatures indicating that low litter quality results in less taxa living as decomposers and more taxa living as fungal feeders or predators. …”
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Associations of sedentary time, sleep duration and physical exercise with multimorbidity among older adults in Shanghai, China: a cross-sectional study based on national physical f... by Kai Li, Jingjing Wang, Yuqin Rao, Fanhui Zheng, Ying Chen, Bo Zhai, Jintao Hong, Dao Wang, Chen Wang, Bao Liu

“…Weighted analysis was performed to appropriately account for complex sampling designs and provide more robust results. …”
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Development of a comprehensive model to predict stock prices in the stock market with an interpretive structural modeling approach by Shiva Rezaeyan, Mohammad Taleghani, Azita Sherej Sharifi

“…The indicators with the highest average importance were selected within each perspective. …”
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Geological evaluation and favorable area optimization for underground coal gasification in Zhalainuoer coal field by Yi CUI, Shu TAO, Zhiheng WANG, Yaning WU, Qinghe JING, Shoujun LI, Dejun LI, Jie GUO, Shouqing YAN, Yang JIAO, Di ZOU

“…The coal seam has a large thickness and stable lateral distribution (coal thickness variation coefficient of 10.14%～33.55%), with moderate burial depth and low complexity of faults. The average unit water inflow of coal seams is generally low, and the coal bearing strata have well-developed and stable aquitards. …”
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Efficient design of 15:4 counter using a novel 5:3 counter for high‐speed multiplication by Hemanth Krishna L., Neeharika M., Vishvanath Janjirala, Sreehari Veeramachaneni, Noor Mahammad S

“…As a result, the circuit complexity reduces. The proposed 5:3 counter and 15:4 counter are on an average 28% and 19% improvement in the power delay product compared with the existing designs. …”
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Comprehensive Analysis of a Parcel-Level Crop Mapping (PARCM) Framework From the Perspective of Spatial Heterogeneity and Spatiotemporal Transferability by Chen Wang, Jiaqi Chen, Cheng Cai, Mengyu Liu, Ziming Wang, Haoyu Zhang, Huanxue Zhang

“…Results demonstrated that PARCM outperformed PIXCM and a parcel feature average-based method, achieving an average overall accuracy (OA) and Kappa above 0.85. …”
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EML-SlowFast: A behavior recognition model for lion-head goose by Jinwei Wang, Zhiguo Du, Bin Wen, Zhihui Wu, Xudong Lin

“…The experiment results showed that the average F1 score, average Precision, Accuracy, and average Recall of the EML-SlowFast model were 92.06 %, 91.60 %, 91.85 %, and 92.78 %, respectively, reflecting improvements of 4.03 %, 3.79 %, 4.14 %, and 4.45 % over the corresponding metrics of the SlowFast model. …”
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