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121
Gaussian Process Regression with Soft Equality Constraints
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122
Exploiting Circular Shifts for Efficient Chaotic Image Encryption
Published 2025-01-01“…This work presents a chaotic image encryption algorithm that acts on the binary level of the image for effective permutation, and on the byte level for substitution. …”
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123
Using neuroevolution for designing soft medical devices
Published 2025-03-01“…The use of neuroevolution-based algorithms to automatically design initial sketches of soft actuators that can enable the movement of future medical devices, such as drug-delivering catheters, is proposed. …”
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124
EMG-Controlled Soft Robotic Bicep Enhancement
Published 2025-05-01“…The McKibben-inspired pneumatic muscle was chosen as the soft actuator for the prototype. A hybrid control algorithm, incorporating PID and model-based control methods, was developed. …”
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125
Neural Network Approaches for Distributional Shifts in Environmental Sensors
Published 2024-03-01“…Due to the distributional shift between the training and operational environment induced by sensor ageing and drift processes, the algorithms that predict air quality suffer from performance degradation during the products’ lifetime. …”
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126
Architected Design and Fabrication of Soft Mechanical Metamaterials
Published 2025-04-01“…This study proposes a systematic design approach to 3D print soft mechanical metamaterials by tuning material flow behavior and using optimal toolpaths and print parameters. …”
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127
A Low-Carbon Scheduling Method for Container Intermodal Transport Using an Improved Grey Wolf–Harris Hawks Hybrid Algorithm
Published 2025-04-01“…To address these issues, this study proposes a multi-objective optimization model that simultaneously considers transportation cost, carbon emissions, and time efficiency under soft time window constraints. The model is solved using an improved grey wolf–Harris hawks hybrid algorithm (IGWOHHO). …”
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128
A survey on localization and energy efficiency in UWSN: bio-inspired approach
Published 2024-11-01Subjects: “…Bio-inspired algorithms…”
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129
Averaged Soft Actor-Critic for Deep Reinforcement Learning
Published 2021-01-01“…The Soft Actor-Critic (SAC) algorithm uses advanced functions to update the policy and value network to alleviate some of these problems. …”
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130
Using Time Clusters for Following Users’ Shifts in Rating Practices
Published 2017-12-01“…The proposed algorithm incorporates the aforementioned concept and is able to follow more successfully shifts in users’ rating practices. …”
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131
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132
Orbital Angular Momentum Shift Keying Based Optical Communication System
Published 2017-01-01“…In the free space optical communication, the information can be encoded as the orbital angular momentum (OAM) state of light, which is called OAM shift keying (OAM-SK). This paper has proposed a communication system with OAM-SK, in which an image has been delivered from the transmitter to the receiver successfully in the simulation environment. …”
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133
RADIOCOMMUNICATION SYSTEMS WITH PSEUDORANDOM FREQUENCY HOPPING OF PHASE-SHIFT KEYING SIGNALS
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134
Improving Long PN-Code Acquisition in the Presence of Doppler Frequency Shifts
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135
Effect of crystal-to-detector distance shift on data processing in serial crystallography.
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136
Soft Measurement of Wastewater Treatment System Based on PSOGA-WNN
Published 2023-01-01“…To accurately predict the SS<sub>eff</sub> (effluent SS) content and COD<sub>eff</sub> (effluent COD) concentration in water quality parameters and further improve the water quality early warning mechanism,this paper proposes the PSOGA-WNN soft measurement model of paper wastewater effluent quality to obtain the main water quality technical parameters,COD<sub>inf</sub> (influent COD),Q (influent flow),pH (influent pH),SS<sub>inf</sub> (influent SS),T (influent temperature),DO (influent dissolved oxygen),COD<sub>eff</sub>,and SS<sub>eff,</sub> for predicting the quality of wastewater from the wastewater treatment plant.Among them,the prediction results of PSOGA-WNN are compared with the neural networks of PSO-WNN,GA-WNN,and PSOGA-BP.The results show that the PSOGA-WNN neural network has the highest prediction accuracy,which indicates that the PSOGA hybrid parameter optimization algorithm based on the genetic algorithm and particle swarm algorithm has obvious superiority in optimizing the prediction accuracy of the model.The WNN neural network has certain advantages over BP neural network in terms of fitting degree as well as error accuracy and is an effective means of simulation prediction.…”
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137
SOFT TISSUE RECONSTRUCTION IN PATIENTS WITH SEVERE OPEN TIBIA FRACTURES
Published 2016-02-01“…The aim of our study is to develop and introduce the algorithm of the early soft tissue reconstruction for the patients with severe open tibia fractures. …”
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138
Roughness and Fuzziness Associated with Soft Multi-Sets and their Application to MADM
Published 2020-06-01“…Furthermore, we present an algorithm to cope with uncertainties in multi-attribute decision making (MADM) problems by utilizing soft multisets and related concepts. …”
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139
Optimization of Shift Strategy Based on Vehicle Mass and Road Gradient Estimation
Published 2024-11-01“…According to the estimation results, the existing shift strategy is optimized, and the software-in-the-loop simulation of the transmission controller is carried out to verify the function of the control algorithm software. …”
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140
Post-traumatic posterior heel soft tissue defect reconstruction
Published 2005-01-01“…We present a simple algorithm for management of post-traumatic posterior heel defect. …”
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