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  • Open Access

    ARTICLE

    Dynamic Behavior-Based Churn Forecasts in the Insurance Sector

    Nagaraju Jajam, Nagendra Panini Challa*

    CMC-Computers, Materials & Continua, Vol.75, No.1, pp. 977-997, 2023, DOI:10.32604/cmc.2023.036098 - 06 February 2023

    Abstract In the insurance sector, a massive volume of data is being generated on a daily basis due to a vast client base. Decision makers and business analysts emphasized that attaining new customers is costlier than retaining existing ones. The success of retention initiatives is determined not only by the accuracy of forecasting churners but also by the timing of the forecast. Previous works on churn forecast presented models for anticipating churn quarterly or monthly with an emphasis on customers’ static behavior. This paper’s objective is to calculate daily churn based on dynamic variations in client… More >

  • Open Access

    ARTICLE

    Genome-wide identification, characterization, and expression analysis of aluminum-activated malate transporter genes (ALMTs) in Gossypium hirsutum L.

    QUANWEI LU1,2,#, YUZHEN SHI2,#, RUILI CHEN1,2, XIANGHUI XIAO2,3, PENGTAO LI1,2, JUWU GONG2,3, RENHAI PENG1, YOULU YUAN2,*

    BIOCELL, Vol.46, No.5, pp. 1347-1356, 2022, DOI:10.32604/biocell.2022.018254 - 06 January 2022

    Abstract Aluminum-activated malate transporters (ALMT) are widely involved in plant growth and metabolic processes, including adaptation to acid soils, guard cell regulation, anion homeostasis, and seed development. Although ALMT genes have been identified in Arabidopsis, wheat, barley, and Lotus japonicus, little is known about its presence in Gossypium hirsutum L. In this study, ALMT gene recognition in diploid and tetraploid cotton were done using bioinformatics analysis that examined correlation between homology and evolution. Differentially regulated ALMT genetic profile in G. hirsutum was examined, using RNA sequencing and qRT-PCR, during six fiber developmental time-points, namely 5 d, 7 d, 10 d, 15 d,… More >

  • Open Access

    ARTICLE

    A Novel Hybrid Tag Identification Protocol for Large-Scale RFID Systems

    Ye Mu1,2,3,4, Ruiwen Ni1, Yuheng Sun1, Tong Zhang1, Ji Li1, Tianli Hu1,2,3,4, He Gong1,2,3,4, Shijun Li1,2,3,4,*, Thobela Louis Tyasi5

    CMC-Computers, Materials & Continua, Vol.68, No.2, pp. 2515-2527, 2021, DOI:10.32604/cmc.2021.016570 - 13 April 2021

    Abstract

    Radio frequency identification technology is one of the main technologies of Internet of Things (IoT). Through the transmission and reflection of wireless radio frequency signals, non-contact identification is realized, and multiple objects identification can be realized. However, when multiple tags communicate with a singleton reader simultaneously, collision will occur between the signals, which hinders the successful transmissions. To effectively avoid the tag collision problem and improve the reading performance of RFID systems, two advanced tag identification algorithms namely Adaptive M-ary tree slotted Aloha (AMTS) based on the characteristics of Aloha-based and Query tree-based algorithms are proposed.

    More >

  • Open Access

    ARTICLE

    TRISim: A Triage Simulation System to Exploit and Assess Triage Operations for Hospital Managers - Development, Validation and Experiment

    A. Koba yashi1, K. Suginuma2, M. Furui chi1

    CMES-Computer Modeling in Engineering & Sciences, Vol.113, No.2, pp. 117-149, 2017, DOI:10.3970/cmes.2017.113.121

    Abstract Triage is a method for determining the priority of patients’ treatment to improve survival rates. Different triage methods are used in hospitals, and they are applied after performing an evaluation based on standard methods such as the Japan Triage Acuity Scale (JTAS) or Emergency Severity Index (ESI). It is important to consider the characteristics of all the hospitals when assigning triage methods and emergency levels to them; the hospital managers make these decisions. We propose a multi-agent simulation method to support the hospital managers in employing the triage protocols according to their environment. We developed More >

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