MPD-Model: A Distributed Multipreference-Driven Data Fusion Model and Its Application in a WSNs-Based Healthcare Monitoring System by Jibing Gong, Li Cui, Kejiang Xiao, Rui Wang

“…We then present MFA, a distributed multi-preference feature-level fusion algorithm based on weighted average method. Next, to implement feature extraction of wrist-pulse data, we propose FEA, a light-weight adaptive feature extraction algorithm for time series sensed data. …”
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A MultiObjective Optimization Approach for Integrated Timetabling and Vehicle Scheduling with Uncertainty by Yindong Shen, Wenliang Xie, Jingpeng Li

“…Meanwhile, a multiobjective hybrid algorithm, which is a combination of the self-adjust genetic algorithm (SGA), large neighborhood search (LNS) algorithm, and Pareto separation operator (PSO), is applied to solve the integrated optimization problem. …”
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Fast Mumford-Shah Two-Phase Image Segmentation Using Proximal Splitting Scheme by Nilima Shah, Dhanesh Patel, Pasi Fränti

“…Compared to the level set method to solve the Chan-Vese model, our algorithm is significantly faster. At the same time, it gives almost the same or better segmentation results. …”
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Analysis of Seismic Damage of Underground Powerhouse Structure of Hydropower Plants Based on Dynamic Contact Force Method by Yang Yang, Juntao Chen, Ming Xiao

“…Based on the characteristics of the dynamic interaction between an underground powerhouse concrete structure and its surrounding rock in a hydropower plant, an algorithm of dynamic contact force was proposed. This algorithm enables the simulation of three states of contact surface under dynamic loads, namely, cohesive contact, sliding contact, and separation. …”
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Machine Learning Approaches for Developing Land Cover Mapping by Ali Alzahrani, Awos Kanan

“…The random forest tree has achieved highest accuracy 84.27%; it is concluded that the RF algorithm is an appropriate algorithm for classifying cover land.…”
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A Novel DBSCAN Based on Binary Local Sensitive Hashing and Binary-KNN Representation by Qing He, Hai Xia Gu, Qin Wei, Xu Wang

“…We revisit the classic DBSCAN algorithm by proposing a series of strategies to improve its robustness to various densities and its efficiency. …”
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Automatic incident detection in smart city using multiple traffic flow parameters via V2X communication by Zafar Iqbal, Majid Iqbal Khan

“…The integration of multiple parameters increases the incident belief factor and hence the accuracy of incident detection. The complete algorithm is mathematically described using the notions of set theory and then formal analysis assures that the algorithm would be less susceptible to runtime and logical errors during simulations.…”
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Near-Field Hierarchical Localization for Integrated Sensing and Communication by Giorgos Stratidakis, Sotiris Droulias, Angeliki Alexiou

“…The algorithm can be implemented with large antenna arrays, and large intelligent surfaces. …”
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Filtered Medial Surface Based Approach for 3D Collision-Free Path Planning Problem by Karima Benzaid, Romain Marie, Noura Mansouri, Ouiddad Labbani-Igbida

“…Given a set of starting and destination coordinates, an adapted A-star algorithm is then applied to compute the shortest path on the FMS. …”
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Obstacles Regions 3D-Perception Method for Mobile Robots Based on Visual Saliency by Tao Xu, Songmin Jia, Zhengyin Dong, Xiuzhi Li

“…The experimental results demonstrated the feasibility and effectiveness of the proposed algorithm.…”
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Empirical Study of Multi-Objective Risk Portfolio Optimization Based on NSGA-II by Qian Gao, Aleš Kresta

“…This study aims to uncover the potential advantages of dynamic portfolio optimization using a multi-objective genetic algorithm to address the challenges of ever-changing market conditions. …”
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Improved Identification Method for Equivalent Network Parameters of Transformer Windings Based on Driving Point Admittance by Yi Liu, Xiaobo Pei

“…Based on the improved whale optimization algorithm, the parameters of the equivalent network model were inverted. …”
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A multi-strategy improved snake optimizer and its application to SVM parameter selection by Hong Lu, Hongxiang Zhan, Tinghua Wang

“…As a newly proposed swarm intelligence algorithm, snake optimizer algorithm (SO) can help to solve the parameter selection problem. …”
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Recovery of Lost Target Using Target Tracking in Event Driven Clustered Wireless Sensor Network by Shailaja Patil, Ashish Gupta, Mukesh Zaveri

“…The efficacy of the algorithm has been tested using various causes of losing target with and without energy saving modes. …”
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Mobile Robot Path Planning Based on Improved Particle Swarm Optimization and Improved Dynamic Window Approach by Zhenjian Yang, Ning Li, Yunjie Zhang, Jin Li

“…First, an improved particle swarm optimization (IPSO) is proposed to enhance the exploration capability and search accuracy of the algorithm by improving the velocity update method and inertia weight. …”
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Automated Diagnosis of Otitis Media: Vocabulary and Grammar by Anupama Kuruvilla, Nader Shaikh, Alejandro Hoberman, Jelena Kovačević

“…We propose a novel automated algorithm for classifying diagnostic categories of otitis media: acute otitis media, otitis media with effusion, and no effusion. …”
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Analysis of Total Suspended Solid at Merah Putih Beach, Bangkalan Regency by Dwi Putra Ardhana Satria, Dwi Siswanto Aries

“…We also applied the advances of remote sensing technology for Landsat-8 using Google Earth Engine and based on Jaelani algorithm. The algorithm is considered quite efficient because it only takes a short time and gets maximum results in TSS visualization. …”
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Communication-Efficient Modeling with Penalized Quantile Regression for Distributed Data by Aijun Hu, Chujin Li, Jing Wu

“…The advantage of the proximal ADMM algorithm is that it could make every parameter of iteration to have closed formula even in high-dimensional case, which greatly improves the speed of calculation. …”
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Monitoring Personalized Trait Using Oscillometric Arterial Blood Pressure Measurements by Young-Suk Shin

“…Monitoring of personalized trait in Oscillometric Arterial Blood Pressure Measurements (OABPM) uses the Linear Discriminant Analysis (LDA) algorithm. The representation of personalized traits with features from the oscillometric waveforms using LDA algorithm includes four phases. …”
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Multiscale Latent Variable Regression by Mohamed N. Nounou, Hazem N. Nounou

“…The advantages of the developed MSLVR modeling algorithm are demonstrated using a simulated inferential model which predicts the distillate composition from measurements of some of the trays' temperatures.…”
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