A Time Modulated Printed Dipole Antenna Array for Beam Steering Application by Ruchi Gahley, Banani Basu

“…Differential Evolution algorithm is used to modify the time sequences of the RF switches connected to the antennas to generate radiation pattern with optimum dynamic efficiency by suppressing sideband radiations. …”
Get full text

Characterization of the Evolution of Nonlinear Uniform Cellular Automata in the Light of Deviant States by Pabitra Pal Choudhury, Sudhakar Sahoo, Mithun Chakraborty

“…The concept of deviant and nondeviant states is introduced, and hence an algorithm is proposed for deducing the State Transition Diagram of a nonlinear CA rule from that of its nearest linear rule. …”
Get full text

Aggregatable Subvector Commitment with Efficient Updates by Qing Xu, Chenyang Gao, Yunling Wang

“…Additionally, we employ the Karatsuba algorithm to efficiently perform large-integer multiplication, which improves the aggregation and verification of proofs. …”
Get full text

Mobile Internet of Things Dynamic Grid QoS Service Matching Mechanism and Simulation Analysis by Xuemei Fan

“…At the same time, the classic Max-Min algorithm in grid task scheduling is analysed, and on this basis, the impact of QoS on task scheduling is fully considered, and combined with the concept of execution cost, a grid task based on QoS constraints (MOS) is proposed. …”
Get full text

Studies on Pumice Lightweight Aggregate Concrete with Quarry Dust Using Mathematical Modeling Aid of ACO Techniques by J. Rex, B. Kameshwari

“…Here, the modeling is carried out with three different optimization techniques like genetic algorithm (GA), particle swarm optimization (PSO), and ant colony optimization (ACO) with 80% of data from experiment utilized for the training and the remaining 20% for the validation. …”
Get full text

Used economy market insight: Sailboat industry pricing mechanism and regional effects. by Zhanni Huang, Hansheng Hu, Di Wu

“…Therefore, this article uses the random forest model and XGBoost algorithm to identify core price indicators, and uses an innovative rolling NAR dynamic neural network model to simulate and predict second-hand sailboat price data. …”
Get full text

Web Services Integration Strategy with Minimum Hops Constraint in Wireless Sensor Networks by Wen Ouyang, Min-Lang Chen

“…For the case when the relationships between the tasks are in linear order, a polynomial-time, optimal web service integration algorithm, using greedy strategy, is provided.…”
Get full text

Berth Allocation and Quay Crane Assignment Considering the Uncertain Maintenance Requirements by Siwei Li, Liying Song

“…To address this novel problem, we propose a proactive-reactive method that incorporates a reliability-based model into the Swarm Optimization with Differential Evolution (SWO-DE) algorithm. Computational results confirm the practical relevance and effectiveness of our proposed solution methods for container terminals.…”
Get full text

Financial time series classification method based on low‐frequency approximate representation by Bing Liu, Huanhuan Cheng

“…Secondly, distance matrices were obtained by Euclidean distance (ED) or dynamic time warping (DTW) for low frequency information, and then the nearest neighbor 1‐NN algorithm was used to classify time series.…”
Get full text

Multimedia Data Processing Technology and Application Based on Deep Learning by Guo Li, Wei Liu

“…Then, the related network results of deep learning (convolution network structure and countermeasure neural network structure) are put forward, and the image comparison of the activation function and the loss function of deep learning is analyzed, which provides functional algorithm support for the experimental analysis of deep learning in multimedia data processing technology. …”
Get full text

Financial Early Warning System Model Combining Hybrid Semantic Hierarchy with Group Method of Data Handling Neural Network for Detection of Banks’ Risks by Guangju Li

“…A semantic hierarchy approach based on converting risk-related values and picking influential variables could be practical in risk detection. Besides, the GMDH algorithm utilizing neural networks based on available data has the capability of predicting possible risks that could occur in the future. …”
Get full text

Parametric Nonlinear Model Reduction Using K-Means Clustering for Miscible Flow Simulation by Norapon Sukuntee, Saifon Chaturantabut

“…Next, we perform the K-means clustering algorithm on these parameter vectors to find the centroids. …”
Get full text

Combined effects of basalt fiber geometrical characteristics on pavement performance of asphalt mixtures. by Heng Zhou, Mengxin Li, Guyue Jin, Mengyu Guo, Yingjun Jiang

“…Additionally, a random forest algorithm is adopted to perform a weight analysis of fiber characteristics and their correlation with pavement performance.…”
Get full text

Motion Deblurring in Image Color Enhancement by WGAN by Jiangfan Feng, Shuang Qi

“…The key idea of this paper is to introduce a novel multitask learning algorithm for image motion deblurring and color enhancement, which enables us to enhance the color effect of an image while eliminating motion blur. …”
Get full text

Detection and Prevention of Selective Forwarding-Based Denial-of-Service Attacks in WSNs by Youngho Cho, Gang Qu

“…Finally, as a complementary defensive method to our detection and avoidance approaches, we introduce a prevention routing algorithm that proactively prevents the attack and provide our preliminary results to evaluate its performance.…”
Get full text

Benchmarking of Multispectral Pansharpening: Reproducibility, Assessment, and Meta-Analysis by Luciano Alparone, Andrea Garzelli

“…As a major outcome of this study, an improved version of the additive wavelet luminance proportional (AWLP) pansharpening algorithm offers all of the favorable characteristics of an ideal benchmark, namely, performance, speed, absence of adjustable running parameters, reproducibility of results with varying datasets and landscapes, and automatic correction of the path radiance term introduced by the atmosphere. …”
Get full text

Sensor Placement Optimization of Vibration Test on Medium-Speed Mill by Lihua Zhu, Jun Dai, Guoliang Bai

“…The OSP of medium-speed mill was conducted using the effective independence method (EfI) and QR decomposition algorithm. The results showed that the order of modal shapes had an important influence on the optimization results. …”
Get full text

Hall Current Effect of Magnetic-Optical-Elastic-Thermal-Diffusive Semiconductor Model during Electrons-Holes Excitation Processes by Abdulkafi M. Saeed, Kh. Lotfy, Alaa. A. El-Bary

“…Mathematically, the Laplacian computational inversion algorithm with a numerical approximation is used to achieve the fundamental physical quantities numerically in the time domain. …”
Get full text

Application of LCD-SVD Technique and CRO-SVM Method to Fault Diagnosis for Roller Bearing by Songrong Luo, Junsheng Cheng, HungLinh Ao

“…Thirdly, a support vector machine (SVM) classifier based on Chemical Reaction Optimization (CRO) algorithm, called CRO-SVM method, is designed for classification of fault location. …”
Get full text

Distributed Intrusion Detection of Byzantine Attacks in Wireless Networks with Random Linear Network Coding by Jen-Yeu Chen, Yi-Ying Tseng

“…In this paper, a distributed algorithm is developed to effectively detect, locate, and isolate the Byzantine attackers in a wireless ad hoc network with random linear network coding (RLNC). …”
Get full text