A novel approach for snow depth retrieval in forested areas by integrating horizontal and vertical canopy structures information by Shanna Yue, Liyun Dai, Jie Deng, Yanxing Hu, Lin Xiao, Tao Che

“…Currently, the most efficient means of quantifying snow depth at both global and regional scales is through passive microwave remote sensing. …”
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Profit-Efficient Elastic Allocation of Cloud Resources Using Two-Stage Adaptive Workload Prediction by Lei Li, Xue Gao

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Evaluation Method of Chinese Efficiency for Grid-connected Photovoltaic Inverters by WANG Ting, WANG Zong, FAN Shiling, TANG Zhou

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Adaptive Neuro-Fuzzy Inference System-Genetic Algorithm approach for global maximum power point tracking in PV systems under different shading conditions by Nivine Guler, Zied Ben Hazem, Ali Gunes, Firas Saidi

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The use of Geographic Information Systems as innovative tools for sustainable development strategies and enhancing the efficiency of forest sector entities by Lutsiv Nataliia, Pavlo Chukhna

“…The article examines the ways of using the potential of Geographic Information Systems (GIS) for integrating ecological and economic parameters of forest use into forest management processes. …”
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A data driven approach to classify descriptors based on their efficiency in translating noisy trajectories into physically-relevant information by Simone Martino, Domiziano Doria, Chiara Lionello, Matteo Becchi, Giovanni M Pavan

“…We use Onion clustering (an efficient unsupervised clustering method for timeseries analysis) to assess the maximum amount of information that can be extracted from the noisy trajectories by the various descriptors, which we then rank via a high-dimensional metric. …”
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Advancing Cosmological Parameter Estimation and Hubble Parameter Reconstruction with Long Short-term Memory and Efficient Kolmogorov–Arnold Networks by Jiaxing Cui, Marek Biesiada, Ao Liu, Cuihong Wen, Tonghua Liu, Jieci Wang

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Optimizing Solar Energy Harvesting: A K‐Means Clustering Approach for Enhanced Efficiency and Viability by Li Bin, Muhammad Shahzad, Muhammad Farhan, Muhammad Sanaullah Khan, Mubaarak Abdulrahman Abdu Saif, Girmaw Teshager Bitew

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Quantum Marine Predator Algorithm: A Quantum Leap in Photovoltaic Efficiency Under Dynamic Conditions by Okba Fergani, Yassine Himeur, Raihane Mechgoug, Shadi Atalla, Wathiq Mansoor, Nacira Tkouti

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Incorporation of Mean/Maximum Stress Effects in the Multiaxial Racetrack Filter by Marco Antonio Meggiolaro, Jaime Tupiassú Pinho de Castro, Hao Wu

“…The variable value of the filter amplitude must be calculated in real time, thus it cannot depend on the peak or mean stresses along a load event, because it would require cycle identification and as so information about future events. Instead, mean/maximum stress effects are modeled in the filter as a function of the current (instantaneous) hydrostatic or normal stress along the multiaxial load path, respectively for invariantbased and critical-plane models. …”
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Optimal feature encoding in early vision by Serena Castellotti, Giacomo Mazzotta, Alessandro Benedetto, Maria Michela Del Viva

“…Abstract The human visual system processes a massive amount of visual information very rapidly, requiring efficient coding mechanisms to handle such data within physiological constraints. …”
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Bias and standard deviation mean and maximum Doppler frequency estimators by K. MARASEK, A. NOWICKI

“…"Goodness" and efficiency of estimators were determined calculating the bias and standard deviation of the estimated mean and maximum frequency of the computer simulated Doppler spectra. …”
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Extremal <i>k</i>-Connected Graphs with Maximum Closeness by Fazal Hayat, Daniele Ettore Otera

“…Closeness is a measure that quantifies how quickly information can spread from a given node to all other nodes in the network, reflecting the efficiency of communication within the network by indicating how close a node is to all other nodes. …”
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Collaborative representation based classifier with maximum correntropy criterion and locality constraint by Qinru YU, Guifu LU

“…A method which utilizes maximum correntropy criterion and locality information called collaborative representation based classifier with maximum correntropy criterion and locality constraint (CRC/MCCLC) was proposed.On the one hand, CRC/MCCLC was not only more robust to outliers than L₁ norm but also could be computed efficiently using half-quadratic optimization technique because of the use of maximum correntropy criterion.On the other hand, CRC/MCCLC could obtain more discriminative information from the training samples and could lead to an approximately sparse representation because of the use of locality information.Extensive experimental results on some image databases demonstrate that CRC/MCCLC can achieve the state-of-the-art performance on these image databases.…”
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SAR Observation Error Estimation Based on Maximum Relative Projection Matching by Y. Zhang, B. P. Wang, Y. Fang, Z. X. Song

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Robust Crater Detection Algorithm Based on Maximum Entropy Threshold Segmentation by Peng Wu, Rongjun Mu, Yanpeng Deng

“…In this paper, we presented a new robust lunar CDA method based on maximum entropy threshold segmentation. By calculating the entropy distribution of the ternary image, the threshold for retaining the maximum amount of image information is selected adaptively, a variety of evaluation indicators are proposed, and a multiple-indicator constraint matrix is constructed to realize the extraction and fitting of the craters. …”
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Power-Efficient Simultaneous Wireless Information and Power Transfer (SWIPT) for Batteryless IoT Devices Using a Co-Designed Rectifying Metantenna by Ping Lu, Linkai Luo, Linjie Yang, Ce Wang, Cheng Zhang, Chaoyun Song, Kama Huang, Yi Huang

“…Furthermore, the metasurface incorporates rectifier diodes distributed partially, significantly enhancing energy conversion efficiency. The proposed rectifying metantenna operates at 5.8 GHz (an ISM band) and achieves a maximum energy conversion efficiency of 54.6&#x0025; when subjected to an input power of 0 dBm. …”
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An efficient and interactive feature selection approach based on copula entropy for high-dimensional genetic data by Xiaoran Yan, Shilong Shang, Dongxi Li, Yun Dang

“…The method combines feature-feature mutual information with feature-label mutual information and uses a maximum correlation minimum redundancy strategy for greedy selection. …”
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A New Metric for CO₂ Emissions Based on the Interaction Between the Efficiency Ratio Entropy/Marginal Product and Energy Use by Second Bwanakare, Marek Cierpiał-Wolan, Daniel Rzeczkowski

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Innovative device for crack monitoring and deflection analysis in structures: Improved accuracy, safety and efficiency by Alfonso C. Marcos-Romero, Laura Mendoza-Cerezo, Antonio Macías-García, Noelia Rebollo Muñoz, Jesús M. Rodríguez-Rego

“…The device is integrated seamlessly into structural health monitoring (SHM) and building information modelling (BIM) systems, thereby providing a holistic approach to structural assessment.The ES1293890 U device offers superior accuracy, with a resolution of 0.01 mm and a maximum deviation of 0.007 mm, which makes it a more effective alternative to existing commercial solutions. …”
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