-
101
Kernel type-based entries are efficient to develop a core collection of maize (Zea mays L.)
Published 2025-01-01“…Abstract A core collection, a minimized set of germplasm representing maximum genetic diversity, is useful for breeding and genetic studies. …”
Get full text
Article -
102
Efficient Swell Risk Prediction for Building Design Using a Domain-Guided Machine Learning Model
Published 2025-07-01Get full text
Article -
103
-
104
Unsupervised Learning for Distributed Downlink Power Allocation in Cell-Free mMIMO Networks
Published 2025-01-01“…For both learning frameworks, the proposed approach is utilized to maximize three well-known power control objectives under maximum-ratio and regularized zero-forcing precoding schemes: 1) sum of spectral efficiency, 2) minimum signal-to-interference-plus-noise ratio (SINR) for max-min fairness, and 3) product of SINRs for proportional fairness, for each of which customized loss functions are formulated. …”
Get full text
Article -
105
An Efficient Framework for Large Scale Multimedia Content Distribution in P2P Network: I2NC
Published 2015-01-01Get full text
Article -
106
HE-BiDet: A Hardware Efficient Binary Neural Network Accelerator for Object Detection in SAR Images
Published 2025-04-01Get full text
Article -
107
-
108
-
109
EDPNet: A Transmission Line Ice-Thickness Recognition End-Side Network Based on Efficient Dynamic Perception
Published 2024-09-01“…In order to solve the problem that the existing recognition network is not suitable for an edge device, an ice-thickness recognition network for transmission lines based on efficient dynamic perception (EDPNet) is proposed. …”
Get full text
Article -
110
-
111
Enhancing land cover object classification in hyperspectral imagery through an efficient spectral-spatial feature learning approach.
Published 2024-01-01“…By combining the strengths of both 3D and 2D CNNs, our method efficiently extracts spectral-spatial features. These features are then processed through fully connected dense layers and a softmax layer for classification. …”
Get full text
Article -
112
Improving the functionality of wireless sensor networks through the use of reinforcement learning and metaheuristic based energy efficient system
Published 2025-08-01“…Abstract To improve the routing and data transmission of wireless sensor networks, this study recommends utilising a new clustering mechanism that is energy efficient and intelligent. First, the positions of the sensor nodes in the network and energy values are acquired. …”
Get full text
Article -
113
-
114
-
115
-
116
Increased Safety Goes Hand in Hand with Higher Cost Efficiency: Single-Controller Operation Showcasing Its Advantages
Published 2025-04-01“…The results show no negative influence on safety, workload, situational awareness, operational efficiency, and environment, with 80% of maximum allowed declared capacity. …”
Get full text
Article -
117
Evaluation of Energy Efficiency of a Common Pea Dry Land Farming System through Application of Complementary Irrigation
Published 2024-02-01“…Energy efficiency of the system was evaluated by calculating the energy ratio and net output energy. …”
Get full text
Article -
118
Incorporation of Mean/Maximum Stress Effects in the Multiaxial Racetrack Filter
Published 2016-10-01“…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. …”
Get full text
Article -
119
Bias and standard deviation mean and maximum Doppler frequency estimators
Published 2014-05-01“…"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. …”
Get full text
Article -
120
Extremal <i>k</i>-Connected Graphs with Maximum Closeness
Published 2024-11-01“…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. …”
Get full text
Article