Wafa Alagal^1,*, Zanyar A. Ameen^2,*

CMES-Computer Modeling in Engineering & Sciences, Vol.147, No.3, 2026, DOI:10.32604/cmes.2026.083259 - 30 June 2026

Abstract Diabetes remains a major global health challenge and requires diagnostic systems capable of handling uncertainty and sometimes conflicting clinical evidence. In this study, a Disc T-Spherical Fuzzy (DT-SF) TOPSIS framework is proposed for diabetes risk assessment, where the radius parameter is used to encode the confidence associated with each diagnostic attribute. The methodology also integrates the Analytic Hierarchy Process (AHP) to determine the relative importance of several key risk factors, including blood glucose, body mass index, family history, lifestyle factors, and clinical symptoms. One important feature of the proposed approach is the ternary classification scheme,… More >

Cesar Guevara^*, Victoria Lopez

CMES-Computer Modeling in Engineering & Sciences, Vol.147, No.3, 2026, DOI:10.32604/cmes.2026.081473 - 30 June 2026

Abstract This study presents a mobile expert system for on-device detection and short-horizon forecasting of aggression using affordable edge hardware. The proposed framework combines lightweight on-body and ambient signals, compact sequential predictors, and an interpretable fuzzy decision layer that converts calibrated probabilities into actionable and auditable alerts. In a subject-held-out pilot study with 10 independent participants, the system achieved a macro-averaged F1 score of 98.3% and an area under the receiver operating characteristic curve of 0.998 on the held-out test split. These results should be interpreted as pilot-scale held-out estimates rather than as definitive evidence of… More >

Hong Min^1,*, Yousef Ibrahim Daradkeh², Jung Taek Seo^3,*, Mohd Anjum⁴, Sana Shahab⁵

CMES-Computer Modeling in Engineering & Sciences, Vol.147, No.3, 2026, DOI:10.32604/cmes.2026.080871 - 30 June 2026

Abstract This study presents a computational modeling framework for efficient and secure computation offloading in Internet of Things (IoT)-enabled smart contract systems. The integration of IoT, edge computing, and blockchain introduces significant challenges, including limited device capacity, high verification cost, and scalability constraints. Existing blockchain verification approaches depend on computationally intensive cryptographic operations that are inefficient for resource-constrained IoT devices, resulting in increased latency, energy consumption, and transaction costs. To address these issues, this study proposes the Zero-Knowledge Fuzzy Logic Offloading and Rollup (Z-FLOR) framework, an adaptive and energy-efficient model designed to enable secure and verifiable… More >

Mingliang Yang¹, Yuyu Miao^1,*, Xijun Xu², Heng Yang¹, Dong Qing¹, Keyuan Zhao¹

Structural Durability & Health Monitoring, Vol.20, No.4, 2026, DOI:10.32604/sdhm.2026.078754 - 30 June 2026

Abstract The autonomous grasping of flexible slings is a pivotal challenge for unmanned crane systems, primarily stemming from the slings’ geometric indeterminacy, material compliance under load, and stochastic initial pose relative to the hook. To address this challenge, we propose an intelligent hook system featuring a novel compound mechanical architecture. This architecture integrates a horizontal slewing mechanism for in-plane alignment with a self-locking worm-gear drive for secure grasping. A coordinated control strategy, employing a Fuzzy PID algorithm, ensures robust dynamic performance under variable loading conditions. Finite element analysis confirms structural integrity under a rated load of More >

Yuzhen He¹, Zhiguo Qu^1,2,*, Le Sun¹

Journal of Quantum Computing, Vol.8, pp. 55-73, 2026, DOI:10.32604/jqc.2026.083993 - 26 June 2026

Abstract Quantum fuzzy neural networks (QFNNs) integrate fuzzy systems, neural networks, and quantum models, aiming to leverage their complementary strengths in handling uncertainty, parameter learning, and feature representation. However, a unified framework for effectively combining these three components remains lacking, and the existing literature reflects diverse and sometimes inconsistent modeling strategies. This paper provides a comprehensive review of the fundamental theories underlying QFNNs, including the core design principles and mathematical formulations, as well as the major categories of network architectures. Representative training strategies and typical application scenarios are also systematically examined. Furthermore, persistent issues in the More >

Jerome Gacu^1,2,*, Dencel Edrian Cawaling¹, Edel Queen Fiestada¹, Diablell Maybanting¹, Jamica Bensurto¹, John Kevin Falogme¹, Jea Janelle Fontamillas¹, Janellene Edd Gadon¹, Samaica Fernandez¹, Maryjay Sagario³

Revue Internationale de Géomatique, Vol.35, pp. 373-407, 2026, DOI:10.32604/rig.2026.083180 - 18 June 2026

Abstract A landslide is the downslope movement of soil, rock, or debris driven by gravity, often triggered by natural or anthropogenic factors. The Philippines is highly susceptible to landslides due to its steep terrain, frequent typhoons, intense rainfall, and seismic activity, resulting in significant socioeconomic and environmental impacts. Despite increasing landslide occurrences in vulnerable coastal and mountainous municipalities in the Philippines, localized and integrated Geographic Information System (GIS)-based landslide risk assessments incorporating hazard, vulnerability, and exposure components remain limited in small island municipalities such as San Andres, Romblon. This study assesses landslide risk in the Municipality… More >

Bhanu Talwar^1,*, Puneet Thapar¹, Tahani Alsubait², Mai Alduailij³, Ateeq Ur Rehman^4,*, Salil Bharany⁵

CMC-Computers, Materials & Continua, Vol.88, No.2, 2026, DOI:10.32604/cmc.2026.080977 - 15 June 2026

Abstract Wireless Sensor Networks (WSNs) play a vital role in smart city Internet of Things (IoT) applications, including environmental monitoring, intelligent transportation, and infrastructure management. However, limited battery capacity, uneven energy consumption, and inefficient clustering and routing mechanisms significantly reduce network lifetime, reliability, and scalability, especially in large-scale IoT deployments. Traditional routing protocols often rely on single-objective optimization or static clustering strategies, which fail to maintain long-term energy balance and stable communication performance. To address these challenges, this paper proposes iPAFAR, a Pareto-based multi-objective clustering and routing framework designed for IoT-enabled WSNs. The proposed model formulates… More >

Zenghua Zhang^1,2, Yanchun Su^1,2, Zhijie Wei^1,2, Wensheng Zhou^1,2, Chen Liu^1,2, Engao Tang^1,2, Yanhong Wang³, Shanshan Li³, Rui Zhang^3,*

Energy Engineering, Vol.123, No.6, 2026, DOI:10.32604/ee.2026.077070 - 27 May 2026

Abstract Addressing the complexity of quality evaluation during the R&D phase of the waterflooding sandstone reservoir numerical simulator (OSIM), this study establishes a comprehensive assessment framework driven by client-side requirements. The novelty of this work lies in the integration of a client-driven 146-indicator hierarchy specifically tailored for iterative simulator R&D. First, a hierarchical software quality evaluation model is constructed, encompassing four primary dimensions and 146 secondary indicators. To mitigate the subjectivity inherent in traditional weight assignment, the Fuzzy Best-Worst Method (FBWM) is employed to determine indicator weights. Subsequently, the Technique for Order Preference by Similarity to… More >

Jawad Hameed^*, Jiefeng Hu, Md Liton Hossain, Syed Islam

Energy Engineering, Vol.123, No.6, 2026, DOI:10.32604/ee.2026.074998 - 27 May 2026

Abstract This paper presents a dynamic energy management strategy for a community-scale campus hybrid microgrid integrating photovoltaic (PV) generation, aggregated wind power, a proton exchange membrane fuel cell, and battery energy storage to support electric vehicle (EV) charging infrastructure under variable environmental and load conditions. The system configuration is inspired by existing renewable energy installations and planned developments at the Federation University Mt Helen Campus, enabling realistic modeling of aggregated demand and coordinated multi-source operation. To enhance physical realism, power electronic conversion efficiencies and hierarchical control dynamics are incorporated, while the wind subsystem is represented using… More >

Qingyao Gu^1,2,#, Mengqi Hu^2,#, Zerui Zhao², Liquan Chen^2,*, Huiyu Fang²

CMC-Computers, Materials & Continua, Vol.88, No.1, 2026, DOI:10.32604/cmc.2026.078873 - 08 May 2026

Abstract With the rapid development of the Internet of Things (IoT), the widespread adoption of applications such as smart homes and industrial IoT has raised the demand for secure authentication and key agreement among resource-constrained devices over open communication channels. Traditional authentication protocols often rely on centralized servers for key distribution, which results in high communication overhead and exposes systems to single-point-of-failure risks. Moreover, IoT devices are typically constrained in computational resources and are vulnerable to hardware cloning. These limitations necessitate lightweight yet robust security mechanisms. To address these challenges, we propose a lightweight peer-to-peer authentication More >