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  • Open Access

    ARTICLE

    An Optimized Customer Churn Prediction Approach Based on Regularized Bidirectional Long Short-Term Memory Model

    Adel Saad Assiri1,2,*

    CMC-Computers, Materials & Continua, Vol.86, No.1, pp. 1-21, 2026, DOI:10.32604/cmc.2025.069826 - 10 November 2025

    Abstract Customer churn is the rate at which customers discontinue doing business with a company over a given time period. It is an essential measure for businesses to monitor high churn rates, as they often indicate underlying issues with services, products, or customer experience, resulting in considerable income loss. Prediction of customer churn is a crucial task aimed at retaining customers and maintaining revenue growth. Traditional machine learning (ML) models often struggle to capture complex temporal dependencies in client behavior data. To address this, an optimized deep learning (DL) approach using a Regularized Bidirectional Long Short-Term… More >

  • Open Access

    ARTICLE

    IOTA-Based Authentication for IoT Devices in Satellite Networks

    D. Bernal*, O. Ledesma, P. Lamo, J. Bermejo

    CMC-Computers, Materials & Continua, Vol.86, No.1, pp. 1-39, 2026, DOI:10.32604/cmc.2025.069746 - 10 November 2025

    Abstract This work evaluates an architecture for decentralized authentication of Internet of Things (IoT) devices in Low Earth Orbit (LEO) satellite networks using IOTA Identity technology. To the best of our knowledge, it is the first proposal to integrate IOTA’s Directed Acyclic Graph (DAG)-based identity framework into satellite IoT environments, enabling lightweight and distributed authentication under intermittent connectivity. The system leverages Decentralized Identifiers (DIDs) and Verifiable Credentials (VCs) over the Tangle, eliminating the need for mining and sequential blocks. An identity management workflow is implemented that supports the creation, validation, deactivation, and reactivation of IoT devices,… More >

  • Open Access

    ARTICLE

    A Potential Vicious Cycle between School Refusal and Depression among Chinese Adolescents: A Cross-Lagged Panel Model Analysis

    Xiaojun Xu1,#, Hui Lu2,#, Mengni Du3, Yang Wang1,4, Mingyan Liu2, Lei Qian1,5, Chunyan Shan1, Jianan Xu6, Yanqiu Yu7, Guohua Zhang4, Anise M. S. Wu8,9, Joseph T. F. Lau1,4,10,*, Deborah Baofeng Wang1,*

    International Journal of Mental Health Promotion, Vol.27, No.10, pp. 1423-1437, 2025, DOI:10.32604/ijmhp.2025.068840 - 31 October 2025

    Abstract Background: Adolescent depression and school refusal (SR) are prevalent and important global concerns that need to be understood and addressed. Cross-sectional associations have been reported but prospective relationships between them remain unclear. This longitudinal study investigated the bidirectional relationships between these two problems among Chinese adolescents. Methods: A longitudinal study was conducted in Taizhou, China, surveying students of three junior high schools, three senior high schools, and one vocational high school. A total of 3882 students completed the questionnaire at baseline (T1); 3167 of them completed an identical follow-up questionnaire after 6 months (T2). Depression… More >

  • Open Access

    REVIEW

    Binary Code Similarity Detection: Retrospective Review and Future Directions

    Shengjia Chang, Baojiang Cui*, Shaocong Feng

    CMC-Computers, Materials & Continua, Vol.85, No.3, pp. 4345-4374, 2025, DOI:10.32604/cmc.2025.070195 - 23 October 2025

    Abstract Binary Code Similarity Detection (BCSD) is vital for vulnerability discovery, malware detection, and software security, especially when source code is unavailable. Yet, it faces challenges from semantic loss, recompilation variations, and obfuscation. Recent advances in artificial intelligence—particularly natural language processing (NLP), graph representation learning (GRL), and large language models (LLMs)—have markedly improved accuracy, enabling better recognition of code variants and deeper semantic understanding. This paper presents a comprehensive review of 82 studies published between 1975 and 2025, systematically tracing the historical evolution of BCSD and analyzing the progressive incorporation of artificial intelligence (AI) techniques. Particular… More >

  • Open Access

    REVIEW

    Federated Learning in Convergence ICT: A Systematic Review on Recent Advancements, Challenges, and Future Directions

    Imran Ahmed1,#, Misbah Ahmad2,3,#, Gwanggil Jeon4,5,*

    CMC-Computers, Materials & Continua, Vol.85, No.3, pp. 4237-4273, 2025, DOI:10.32604/cmc.2025.068319 - 23 October 2025

    Abstract The rapid convergence of Information and Communication Technologies (ICT), driven by advancements in 5G/6G networks, cloud computing, Artificial Intelligence (AI), and the Internet of Things (IoT), is reshaping modern digital ecosystems. As massive, distributed data streams are generated across edge devices and network layers, there is a growing need for intelligent, privacy-preserving AI solutions that can operate efficiently at the network edge. Federated Learning (FL) enables decentralized model training without transferring sensitive data, addressing key challenges around privacy, bandwidth, and latency. Despite its benefits in enhancing efficiency, real-time analytics, and regulatory compliance, FL adoption faces… More >

  • Open Access

    REVIEW

    A Comprehensive Review of Dynamic Community Detection: Taxonomy, Challenges, and Future Directions

    Hiba Sameer Saeed#, Amenah Dahim Abbood#,*

    CMC-Computers, Materials & Continua, Vol.85, No.3, pp. 4375-4405, 2025, DOI:10.32604/cmc.2025.067783 - 23 October 2025

    Abstract In recent years, the evolution of the community structure in social networks has gained significant attention. Due to the rapid and continuous evolution of real-world networks over time. This makes the process of identifying communities and tracking their topology changes challenging. To tackle these challenges, it is necessary to find efficient methodologies for analyzing the behavior patterns of dynamic communities. Several previous reviews have introduced algorithms and models for community detection. However, these methods have not been very accurate in identifying communities. Moreover, none of the reviewed papers made an apparent effort to link algorithms… More >

  • Open Access

    REVIEW

    Advances in Tissue-Agnostic Targeting in Cancer Therapeutics: Current Approvals, Challenges, and Future Directions

    Matthew Rubinstein1,*, Madeline Lauren Hong1, Rishi Kumar Nanda1, Daniel Thomas Jones1, Hazem Aboaid2, Yin Mon Myat3, Kyaw Zin Thein4

    Oncology Research, Vol.33, No.11, pp. 3161-3183, 2025, DOI:10.32604/or.2025.067791 - 22 October 2025

    Abstract The ever-expanding development of tissue-agnostic therapies which target malignancies based on specific mutations rather than tissue origin have transformed the landscape of oncology. The purpose of this review is to explore the impact, safety, and challenges of tissue-agnostic therapies including pembrolizumab, dostarlimab, larotrectinib, entrectinib, repotrectinib, dabrafenib plus trametinib, selpercatinib, and trastuzumab deruxtecan. As the therapeutic arsenal continues to grow, it is crucial to understand how these therapies truly benefit patients and to address the barriers that stand in the way of making them more widely available. Although these therapies have shown effectiveness across multiple cancer More >

  • Open Access

    REVIEW

    Immune Checkpoint Inhibitors in Gastrointestinal Cancers: Current Evidence and Future Directions

    Takeshi Toyozumi1,*, Hideaki Shimada2, Hisahiro Matsubara1

    Oncology Research, Vol.33, No.11, pp. 3185-3206, 2025, DOI:10.32604/or.2025.065818 - 22 October 2025

    Abstract Cancer immunotherapy has long been established as an important treatment option for cancers. In particular, Immune Checkpoint Inhibitor (ICI) has been reported to be effective against various gastrointestinal cancers (esophageal cancer, gastric cancer, colorectal cancer); however, the treatment phase in which ICI should be used and how it should be incorporated into the treatment strategy vary depending on the cancer type being treated. Multiple clinical trials and basic research on ICIs are currently underway, and new insights from these results will continue to change the clinical treatment strategy of gastrointestinal cancers. While it is desirable… More >

  • Open Access

    ARTICLE

    Direct Production of Sorbitol-Plasticized Bioplastic Film from Gracilaria sp.

    Ahmad Faldo1, Labanta Marbun1, Hezekiah Lemuel Putra Zebua1, Fateha Fateha2, Rossy Choerun Nissa2, Yurin Karunia Apsha Albaina Iasya3, Riri Uswatun Annifah3, Amrul Amrul1, Yeyen Nurhamiyah2,*

    Journal of Polymer Materials, Vol.42, No.3, pp. 743-755, 2025, DOI:10.32604/jpm.2025.069981 - 30 September 2025

    Abstract Conventional bioplastic production from seaweed often relies on extraction processes that are costly, time-consuming, and yield limited product. This study presents a direct fabrication method using Gracilaria sp., a red seaweed rich in polysaccharides, to produce bioplastic films without the need for extraction. Sorbitol was incorporated as a plasticizer at concentrations of 0%–10% (w/w) to modify film characteristics. Thermal analysis revealed improved stability at moderate sorbitol levels (5%–7%), while excessive plasticizer slightly reduced thermal resistance. Mechanical testing showed that sorbitol increased film flexibility and elongation at break, though tensile strength and stiffness declined. Tear strength followed More >

  • Open Access

    ARTICLE

    Load Balancing Control Strategy for Multi-Substation Flexible Interconnection Distribution Networks Considering Unbalanced Power Compensation

    Qiji Dai1, Jikai Li2,*, Bohui Ning1, Yutao Xu1, Chang Liu2, Xuan Zhang1

    Energy Engineering, Vol.122, No.10, pp. 4061-4080, 2025, DOI:10.32604/ee.2025.067304 - 30 September 2025

    Abstract Aiming at the challenge of complex load balancing coordination for a three-phase four-leg (3P4L) based multi-ended low voltage flexible DC distribution system (M-LVDC) considering unbalanced power compensation, this paper proposes a phase-split power decoupling unbalanced compensation strategy based load balancing strategy for 3P4L based M-LVDC. Firstly, the topology and operation principle of the 3P4L-based M-LVDC system is introduced, and quasi-proportional resonant (QPR) based phase-split power current control for the 3P4L converter is proposed. Secondly, a load-balancing control strategy considering unbalanced compensation for 3P4L-based M-LVDC is presented, in which the control diagrams for each 3P4L-based converter… More >

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