Multi-Channel Sparse-Frequency-Scanning White-Light Interferometry with Adaptive Mode Locking for Pulse Wave Velocity Measurement by Yifei Xu, Laiben Gao, Cheng Qian, Yiping Wang, Wenyan Liu, Xiaoyan Cai, Qiang Liu

“…Compared to normal MLCC algorithm, the Fibonacci-optimized algorithm reduces the number of computational iterations by 57 times while maintaining sub-nanometer resolution under dynamic perturbations. …”
Get full text

Integrating artificial intelligence in nanomembrane systems for advanced water desalination by Anbarasu Krishnan, Thanigaivel Sundaram, Beemkumar Nagappan, Yuvarajan Devarajan, Bhumika

“…The increasing global demand for clean drinking water calls for innovative approaches to optimize desalination processes, making them more sustainable and efficient. …”
Get full text

Research on Network Handover Based on User Movement Prediction in Visible Light Communication and Wi-Fi Heterogeneous Networks by Chenghu Ke, Mengfan Wang, Huanhuan Qin, Xizheng Ke

“…Extracting meaningful and important location points from massive trajectory data for clustering, an improved hidden Markov model is used to predict the user’s next location by analyzing the patterns of the user’s historical mobile trajectory data. The Q-learning algorithm is then used to determine the optimal network handover based on the current network state, while a seamless handover protocol is introduced to ensure successful network transition and uninterrupted data transmission. …”
Get full text

Efficient and secure multi-party computation protocol supporting deep learning by Shancheng Zhang, Gang Qu, Zongyang Zhang, Minzhe Huang, Haochun Jin, Liqun Yang

“…For Softmax computation, we extend existing two-party protocols to a multi-party Shamir setting, developing the nQSMax algorithm. This algorithm achieves exceptional accuracy exceeding 99% within seconds, requiring only a few iterations.…”
Get full text

A location semantic privacy protection model based on spatial influence by Linghong Kuang, Wenlong Shi, Xueqi Chen, Jing Zhang, Huaxiong Liao

“…Finally, the problem of synthesizing dummy trajectories is transformed into a matching problem for directed bipartite graphs and the optimal k-anonymity set is obtained using the Kuhn Munkres algorithm. …”
Get full text

Smart IoT-driven precision agriculture: Land mapping, crop prediction, and irrigation system. by Gourab Saha, Fariha Shahrin, Farhan Hasin Khan, Mashook Mohammad Meshkat, Akm Abdul Malek Azad

“…The experimental results demonstrated that fuzzy logic has faster calibration rate of 66.23% and helps to save around 61% water in comparison to average logic algorithm. The implementation of a fuzzy logic algorithm significantly optimized water usage compared to traditional manual irrigation methods. …”
Get full text

A METHODOLOGICAL APPROACH TO DESIGNING EXPERIMENTS WHEN DEALING WITH IDENTIFICATION TESTS FOR MEDICINAL PRODUCT COMPONENTS (AS ILLUSTRATED BY ASCORBIC ACID) by Yu. B. Purim, M. L. Kruglyakova, L. N. Bulanova, M. V. Agapkina, L. N. Stronova, T. N. Bokovikova, E. P. Gernikova

“…The whole complex of the studies performed helped to determine qualitative reactions and optimal conditions for identification testing of the analysed substance.…”
Get full text

Formation of Whipped Yeast-Free Bread Crumb with Intensive Microwave Convective Baking by Gazibeg O. Magomedov, Anatoly А. Khvostov, Aleksey А. Zhuravlev, Magomed G. Magomedov, Aleksei S. Taratukhin, Inessa V. Plotnikova

“…The development of the technology of whipped yeast-free bread made from whole wheat flour is an urgent task of baking. To implement this technology, it is necessary to properly manage the foaming process of whipped yeast-free dough while preserving the highly porous structure of the crumb of whipped dough blanks and thin-walled bread crust during baking. …”
Get full text

A method of identification and localization of tea buds based on lightweight improved YOLOV5 by Yuanhong Wang, Yuanhong Wang, Jinzhu Lu, Jinzhu Lu, Qi Wang, Qi Wang, Zongmei Gao

“…The Fuding white tea bud image dataset was established by collecting Fuding white tea images; then the lightweight network ShuffleNetV2 was used to replace the YOLOV5 backbone network; the up-sampling algorithm of YOLOV5 was optimized by using CARAFE modular structure, which increases the sensory field of the network while maintaining the lightweight; then BiFPN was used to achieve more efficient multi-scale feature fusion; and the introduction of the parameter-free attention SimAm to enhance the feature extraction ability of the model while not adding extra computation. …”
Get full text

Prioritized Multi-task Motion Coordination of Physically Constrained Quadruped Manipulators by Aizhen Xie, Xuewen Rong, Guoteng Zhang, Yibin Li, Yong Fan, Zhi Li, Teng Chen

“…The motion is then executed by a whole-body controller incorporating dynamics, inverse kinematics, multiobjective priorities, and force constraints. …”
Get full text

A Distributed Q Learning Spectrum Decision Scheme for Cognitive Radio Sensor Network by Jian He, Jun Peng, Fu Jiang, Gaorong Qin, Weirong Liu

“…Cognitive spectrum management can improve the utilization efficiency of spectrum while increasing the energy consumption of sensor network nodes. …”
Get full text

Enhanced Oil Recovery for ASP Flooding Based on Biorthogonal Spatial-Temporal Wiener Modeling and Iterative Dynamic Programming by Shurong Li, Yulei Ge, Yuhuan Shi

“…At last, the IDP algorithm is applied to solve the enhanced oil recovery problem for ASP flooding based on the identification model to obtain the optimal injection strategy. …”
Get full text

Environmental and Economic Dispatching of Fire-Wind Combined System Based on Improved MOPSO by Li Rongshuai, Du Ruiqi, Lu Yi, Jiang Shan

“…Then, an improved multi-objective particle swarm optimization algorithm, LRMOPSO, is proposed by combining multi-objective particle swarm optimization algorithm, Levy flight jamming strategy and reverse learning strategy. …”
Get full text

Structural knowledge-driven meta-learning for task offloading in vehicular networks with integrated communications, sensing and computing by Ruijin Sun, Yao Wen, Nan Cheng, Wei Wang, Rong Chai, Yilong Hui

“…Although this non-convex problem can be handled by the alternating minimization (AM) algorithm that alternatively minimizes the divided four sub-problems, it leads to high computational complexity and local optimal solution. …”
Get full text

Improved RRT*-Connect Manipulator Path Planning in a Multi-Obstacle Narrow Environment by Xueyi He, Yimin Zhou, Haonan Liu, Wanfeng Shang

“…During the node expansion process, an adaptive step-size method is introduced to dynamically adjust the step size based on the obstacle information, while a node rejection strategy is used to accelerate the search process so as to generate a near-optimal collision-free path. …”
Get full text

Conceptual semantic enhanced representation learning for event recognition in still images by Ruiqi Luo, Bangchao Wang, Yu Feng, Zaihui Deng, Xian Zhong

“…On that basis, an image event recognition algorithm (CS-IER) based on concept score is proposed, while multi-view learning is applied to fuse concept score and inter-conceptual semantics relations. …”
Get full text

TAL-SRX: an intelligent typing evaluation method for KASP primers based on multi-model fusion by Xiaojing Chen, Xiaojing Chen, Jingchao Fan, Jingchao Fan, Shen Yan, Longyu Huang, Longyu Huang, Longyu Huang, Guomin Zhou, Guomin Zhou, Jianhua Zhang, Jianhua Zhang

“…Then, a hybrid neural network is constructed by combining ANN and LSTM to capture nonlinear relationships and extract complex features, while the Transformer algorithm is introduced to capture global dependencies in high-dimensional feature space. …”
Get full text

Development and Validation of a Discrete Element Simulation Model for Pressing Holes in Sowing Substrates by Hongmei Xia, Chuheng Deng, Teng Yang, Runxin Huang, Jianhua Ou, Lingjin Dong, Dewen Tao, Long Qi

“…A neural network model for predicting the angle of repose was constructed, and a genetic algorithm was applied to optimize the significant contact mechanical parameters. …”
Get full text

RWP-NSGA II: Reinforcement Weighted Probabilistic NSGA II for Workload Allocation in Fog and Internet of Things Environment by Hafsa Raissouli, Samir Brahim Belhaouari, Ahmad Alauddin Bin Ariffin

“…This method uses domain-specific knowledge to improve convergence and solution quality, resulting in reduced delay and better energy efficiency compared to traditional NSGA II and other evolutionary algorithms. The results demonstrate that the proposed algorithm reduces delay by nearly 2 s while also achieving an improvement in energy efficiency, surpassing the state of the art by nearly 3 units.…”
Get full text

DMCM: Dwo-branch multilevel feature fusion with cross-attention mechanism for infrared and visible image fusion. by Xicheng Sun, Fu Lv, Yongan Feng, Xu Zhang

“…Additionally, a lightweight cross-attention fusion module is introduced, optimizing the use of differential and shared features while minimizing computational complexity. …”
Get full text