An Eigenspace approach for detecting multiple space-time disease clusters: Application to measles hotspots detection in Khyber-Pakhtunkhwa, Pakistan. by Sami Ullah, Hanita Daud, Sarat C Dass, Hadi Fanaee-T, Alamgir Khalil

“…We propose an extension of the EigenSpot algorithm, called Multi-EigenSpot that is able to handle multiple hotspots by iteratively removing previously detected hotspots and re-running the algorithm until no more hotspots are found. …”
Get full text

1 bit Compressive Spectrum Sensing Algoritbm Based on Distributed Model by Zhijin Zhao, Weikang Hu, Junwei Hu

“…To relieve the network communication bandwidth pressure, a spectrum algorithm based on 1 bit compressed sensing and distributed model was proposed. …”
Get full text

Instantly decodable network coding–assisted data dissemination for prioritized services in vehicular ad hoc networks by Shujuan Wang, Shuguang Lu, Qian Zhang

“…Moreover, the algorithm applies instantly decodable network coding technique on the scheduled data to maximize the multicast throughput. …”
Get full text

Selection and Prioritization of Test Cases by using Bees Colony by Shahbaa Khaleel, Ragad khaled

“…And that was performed through using Artificial Bees Colony ABC Algorithm in selection of test cases for the software written by C++ language in an automatic way since to enable the corporation which develops the software to save time, effort  and costs that required for testing phase and regression testing activity, which is always evaluated by 50% of the product cost. …”
Get full text

Network Structure-Aware Ant-Based Routing in Large-Scale Wireless Sensor Networks by Kyungdoh Kim, Chunghun Ha, Changsoo Ok

“…Routing algorithms for large-scale sensor networks should be capable of finding energy efficient paths to prolong the lifetime of the networks in a decentralized manner. …”
Get full text

An Investigation of Data Mining Classification Methods in Classifying Students According to 2018 PISA Reading Scores by Duygu Anıl, Emrah Büyükatak

“…At the end of the research, it was determined that Decision Trees C5.0 algorithm had the highest classification rate with 89.6%, the QUEST algorithm had the lowest classification rate with 75%, and four clusters were obtained proportionally close to each other in Two-Step Clustering analysis method to examine the general characteristics according to the success scores. …”
Get full text

Sensor scheduling for target coverage in directional sensor networks by Jinglan Jia, Cailin Dong, Xinggang He, Deying Li, Ying Yu

“…It consists of two parts. First, since directional sensor has infinite directions by rotating continuously, we propose sensing direction partition algorithm to find all non-redundancy directions for each sensor according to the targets deployed within the sensing region of the sensor. …”
Get full text

Differential Evolution with Novel Mutation and Adaptive Crossover Strategies for Solving Large Scale Global Optimization Problems by Ali Wagdy Mohamed, Abdulaziz S. Almazyad

“…This paper presents Differential Evolution algorithm for solving high-dimensional optimization problems over continuous space. …”
Get full text

Research on Stacking Distribution of Steel Plates Input Based on Improved Multi-objective Particle Swarm Optimization by ZHONG Chuanjie, CHENG Wenming, DU Run, GAO Xuchao, ZHANG Lin

“…However, the difference was slight. Since the output of the multi-objective algorithm was a Pareto solution set, four indices, uniformity, convergence, diversity, and dominance, were selected to evaluate the distribution in the solution space and to compare the solution results of each algorithm. …”
Get full text

Turning Energy-Aware Route Planning With an Extended TSP and Double-Layer State Graph: Experimental Evaluation With a Crawler Mobile Robot by Namihei Adachi, Hisashi Date

“…Our method solves this problem by a double-layer state graph to express the change in the orientation by choosing a combination of two points associated with each travel point. Since the standard TSP algorithm cannot be applied to this graph, we use the Generalized Traveling Salesman Problem (GTSP) algorithm, an extension of the TSP. …”
Get full text

Voice Activity Detection in Noisy Environments Based on Double-Combined Fourier Transform and Line Fitting by Jinsoo Park, Wooil Kim, David K. Han, Hanseok Ko

“…Effectiveness of the proposed algorithm is evaluated and compared to other VAD algorithms using two different databases, which are AURORA 2.0 database and SITEC database. …”
Get full text

Design of English Intelligent Simulated Paper Marking System by Lina Yang, Wei Liu

“…Since not all students can complete the essays according to the topic requirements, a triage scoring model is used to separate the normal essays from the low-scoring essays. …”
Get full text

Synthesis of Control and State Observer for Weakly Nonlinear Systems Based on the Pseudo-Linearization Technique by Dmitry A. Makarov

“…The form of the obtained equations made it possible to use the algorithm from the first stage to determine the observer matrix. …”
Get full text

Simultaneous vehicular location and velocity detection towards 6G integrated communication and sensing by Bingpeng ZHOU, Shanshan MA

“…Joint vehicle location and velocity estimation algorithm was proposed for 6G millimeter wave integrated communication and sensing (ICAS), which was challenging due to random channel fading and multipath interference.A novel receiver state sensing (RSS) algorithm was proposed to simultaneously estimate vehicle (receiver) location and velocity, in conjunction with reflection channel estimation.Moreover, a novel multi-carrier Doppler calibration scheme was developed to reduce the disturbance of Doppler effect on RSS performance via frequency shift compensation.The impact of system parameters, e.g., signal bandwidth, the number of transceiver antenna and sub-carriers, on RSS performance was evaluated as well.It was verified by simulations that the proposed RSS algorithm outperformed state-of-the-art baseline methods due to the employed problem-specific system design.In addition, it was shown by simulations that the achieved RSS error was reduced with the increasing of sub-carrier frequency, the number of transceiver antennas and sub-carriers, and it was increased with the increasing distance between base station and vehicle receiver.Particularly, the vehicle location estimation accuracy was increasing with system bandwidth, but it was invariant with central carrier frequency, since only baseband features of received signal were employed for vehicle localization.In contrast, the vehicle velocity detection accuracy was increasing with central carrier frequency, yet it was insensitive to system bandwidth, given the fixed number of sub-carriers.…”
Get full text

Digital Twins by Physical Education Teaching Practice in Visual Sensing Training System by Xinran Liu, Ji Jiang

“…On the simulation results, a gait recognition algorithm is proposed. The gait recognition algorithm is used to identify the motion behaviour, and the results are displayed in the Web (World Wide Web) end built by the cloud server. …”
Get full text

Leveraging Bias in Pre-trained Word Embeddings for Unsupervised Microaggression Detection by Tolúlọpẹ́ Ògúnrẹ̀mí, Valerio Basile, Tommaso Caselli

“…Being able to detect microaggressions without the need for labeled data would be advantageous since it would allow content moderation also for languages lacking annotated data. …”
Get full text

High-confidence assessment of functional impact of human mitochondrial non-synonymous genome variations by APOGEE. by Stefano Castellana, Caterina Fusilli, Gianluigi Mazzoccoli, Tommaso Biagini, Daniele Capocefalo, Massimo Carella, Angelo Luigi Vescovi, Tommaso Mazza

“…Only a tiny subset was functionally evaluated with certainty so far, while the pathogenicity of the vast majority was only assessed in-silico by software predictors. Since these tools proved to be rather incongruent, we have designed and implemented APOGEE, a machine-learning algorithm that outperforms all existing prediction methods in estimating the harmfulness of mitochondrial non-synonymous genome variations. …”
Get full text

Mobile Recommendation Based on Link Community Detection by Kun Deng, Jianpei Zhang, Jing Yang

“…In order to solve this problem, this paper proposes a novel mobile recommendation algorithm based on link community detection (MRLD). …”
Get full text

Research on COP Prediction Model of Chiller Based on PSO-SVR by Zhou Xuan, Cai Panpan, Lian Sizhen, Yan Junwei

“…Since the difficulty of building mechanism model and the structure of COP model of chiller is complex, greatly affected by operating parameter, a COP prediction model of chiller is proposed based on Support Vector Regression, and the parameters are optimized by Particle Swarm Optimization algorithm. …”
Get full text

A Semisupervised Feature Selection with Support Vector Machine by Kun Dai, Hong-Yi Yu, Qing Li

“…In this paper, a novel semisupervised feature selection algorithm based on support vector machine (SVM) is proposed, termed SENFS. …”
Get full text