alexandria engineering journal最新文献_第3页

Uncertainty assessment of electromagnetic exposure safety for human body with intracranial artery stent around EV-WPT based on K-GRU surrogate model 基于 K-GRU 代理模型的 EV-WPT 周围颅内动脉支架人体电磁暴露安全性的不确定性评估

IF 6.2 2区工程技术

alexandria engineering journal Pub Date : 2025-04-23 DOI: 10.1016/j.aej.2025.03.112

Jiaxin Liu , Kaifeng Zhao , Quanyi Yu , Hongwei Zhou , Tianhao Wang , Yaodan Chi

{"title":"Uncertainty assessment of electromagnetic exposure safety for human body with intracranial artery stent around EV-WPT based on K-GRU surrogate model","authors":"Jiaxin Liu , Kaifeng Zhao , Quanyi Yu , Hongwei Zhou , Tianhao Wang , Yaodan Chi","doi":"10.1016/j.aej.2025.03.112","DOIUrl":"10.1016/j.aej.2025.03.112","url":null,"abstract":"<div><div>As electric vehicles (EVs) continue to gain popularity and wireless power transfer (WPT) advances, protecting human health from electromagnetic exposure during EV-WPT operation has become a critical research priority. Given the rising number of patients with metallic medical devices implanted, this article presents a human model of an adult male with an intracranial arterial stent exposed to electromagnetic field leakage from WPT. Considering uncertainties in WPT manufacturing errors and human positioning relative to WPT, this article employs a modified Gate Recurrent Unit (GRU) architecture based on the Kolmogorov–Arnold Network (K-GRU) to quantify these uncertainties in electromagnetic safety assessment. Compared to the Monte Carlo (MC) method, the K-GRU proxy modeling approach reduces assessment time to just 5% of that required by MC. The findings indicate intracranial artery stent implantation significantly influences the distribution of the induced electric field within the human body. Specifically, there is a 96% probability that the induced electric field exceeds the limits set by the International Commission on Non-Ionizing Radiation Protection (ICNIRP) guidelines at the EV’s outer side, and a 71.5% probability at the rear. These findings suggest that for patients with intracranial arterial stents, maintaining appropriate safety distances and implementing power restrictions in EV-WPT systems may be necessary to ensure compliance with electromagnetic exposure limits.</div></div>","PeriodicalId":7484,"journal":{"name":"alexandria engineering journal","volume":"125 ","pages":"Pages 624-635"},"PeriodicalIF":6.2,"publicationDate":"2025-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143863653","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Chemically radiative aspects of mixed convection unsteady MHD stagnation point flow with Williamson nanofluid: Semi-numerical approach Williamson纳米流体混合对流非定常MHD滞止点流动的化学辐射：半数值方法

IF 6.2 2区工程技术

alexandria engineering journal Pub Date : 2025-04-23 DOI: 10.1016/j.aej.2025.04.010

Vishwanath B. Awati , Akash Goravar , N. Mahesh Kumar , Gabriella Bognár

{"title":"Chemically radiative aspects of mixed convection unsteady MHD stagnation point flow with Williamson nanofluid: Semi-numerical approach","authors":"Vishwanath B. Awati , Akash Goravar , N. Mahesh Kumar , Gabriella Bognár","doi":"10.1016/j.aej.2025.04.010","DOIUrl":"10.1016/j.aej.2025.04.010","url":null,"abstract":"<div><div>The Williamson nanofluid exhibits a wide range of applications in the oil industry, geothermal reservoirs, and biomedical fields. The present study delves into the significant aspects of the heat and mass transfer phenomenon within the unsteady Williamson Buongiorno model over a stretching surface through a porous medium. The influence of magnetic field, thermal radiation, chemical reaction, Brownian motion, and thermophoresis coefficients on flow field are explored. The leading constitutive equations are converted to nonlinear, self-similar ordinary differential equations via appropriate similarity conversion equations. These resultant equations are solved using collocation strategies such as shifted Chebyshev collocation and Haar wavelet collocation techniques. The velocity profiles exhibit a decline in flow-assisting conditions while increasing in flow-opposing situations for the corresponding parameters except for mixed convection, solutal, and radiation parameters. The temperature profiles augment with mixed convection (flow opposing case) and radiation parameters; the contrasting nature of these profiles is noticed for other governing parameters. Concentration profiles initially intensify but subsequently decrease in the far-field flow region under both flow circumstances. The skin-friction coefficient reduces with growing parameters of radiation, mixed convection, Brownian motion, chemical reaction, Schmidt number, and reverse trend in the skin-friction coefficient is noticed for enhancement in remaining flow factors.</div></div>","PeriodicalId":7484,"journal":{"name":"alexandria engineering journal","volume":"125 ","pages":"Pages 647-662"},"PeriodicalIF":6.2,"publicationDate":"2025-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143863655","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Cancer diagnosis in smart healthcare: Optimization of the MamCancerX model’s multiple instance learning framework 智能医疗中的癌症诊断：优化MamCancerX模型的多实例学习框架

IF 6.2 2区工程技术

alexandria engineering journal Pub Date : 2025-04-23 DOI: 10.1016/j.aej.2025.03.103

Yuliang Gai , Ji Hao , Yuxin Liu , Minghao Li

{"title":"Cancer diagnosis in smart healthcare: Optimization of the MamCancerX model’s multiple instance learning framework","authors":"Yuliang Gai , Ji Hao , Yuxin Liu , Minghao Li","doi":"10.1016/j.aej.2025.03.103","DOIUrl":"10.1016/j.aej.2025.03.103","url":null,"abstract":"<div><div>With the development of smart healthcare, the application of artificial intelligence in cancer diagnosis has become increasingly widespread. Whole slide images (WSIs) play an important role in cancer diagnosis, especially within the multiple instance learning (MIL) framework, where large-scale medical image data processing can significantly improve diagnostic accuracy. However, traditional convolutional neural networks (CNNs) and Transformer models still have limitations in handling WSIs, particularly in local feature extraction and global context modeling, leading to high computational complexity and memory consumption. To address these issues, this paper proposes MamCancerX, an innovative model that combines the Fusion Mamba module, Agent Attention module, and ResNet50 feature extractor. MamCancerX optimizes the fusion of local features and global information through cross-layer token fusion and self-attention mechanisms, enhancing performance and efficiency in cancer classification tasks. Specifically, the Fusion Mamba module improves global perception, while the Agent Attention module enhances the model’s focus on key regions through self-attention. Experimental results show that MamCancerX excels on the Camelyon16 and BRACS datasets, outperforming existing methods in key metrics such as accuracy, AUC, and F1 score, while also demonstrating significant advantages in memory consumption and computational efficiency.</div></div>","PeriodicalId":7484,"journal":{"name":"alexandria engineering journal","volume":"125 ","pages":"Pages 566-574"},"PeriodicalIF":6.2,"publicationDate":"2025-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143863720","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Intellectual property strategy and corporate ESG performance: A quasi-natural experiment from national intellectual property demonstration cities 知识产权战略与企业ESG绩效：基于国家知识产权示范城市的准自然实验

IF 6.2 2区工程技术

alexandria engineering journal Pub Date : 2025-04-23 DOI: 10.1016/j.aej.2025.04.070

Fenfen Ma , Xin Li , Peng Liu

{"title":"Intellectual property strategy and corporate ESG performance: A quasi-natural experiment from national intellectual property demonstration cities","authors":"Fenfen Ma , Xin Li , Peng Liu","doi":"10.1016/j.aej.2025.04.070","DOIUrl":"10.1016/j.aej.2025.04.070","url":null,"abstract":"<div><div>This paper takes the intellectual property model city as a pseudo-natural experiment, selects the data associated with publicly traded companies on the Shanghai and Shenzhen A-share markets in China from 2009 to 2021 as the research specimens, and adopts the Difference-in-Differences (DID) to examine the causal impact of intellectual property strategy implementation on corporate ESG performance. The study finds that intellectual property strategy substantially enhances corporate ESG performance, and this determination remains robust after a variety of sensitivity analyses containing the test for the parallelism of trends, dummy test, and PSM-DID estimation. Intellectual property strategy improves corporate ESG by reducing systemic transaction costs, alleviating financing constraints, and fostering green innovation. Heterogeneity analysis indicates that the intellectual property strategy exerts a more significant impact on state-owned firms, technology-intensive enterprises, severely polluted enterprises, medium and large enterprises, and enterprises in the eastern region in promoting ESG performance of enterprises. The findings indicate that intellectual property strategy is critical in facilitating the sustainable development of enterprises.</div></div>","PeriodicalId":7484,"journal":{"name":"alexandria engineering journal","volume":"125 ","pages":"Pages 636-646"},"PeriodicalIF":6.2,"publicationDate":"2025-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143863654","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A mathematical analysis of human papilloma virus (HPV) disease with new perspectives of fractional calculus 人类乳头瘤病毒（HPV）疾病的数学分析与分数阶微积分的新观点

IF 6.2 2区工程技术

alexandria engineering journal Pub Date : 2025-04-23 DOI: 10.1016/j.aej.2025.03.136

Thabet Abdeljawad , Nadeem Khan , Bahaaeldin Abdalla , Asma Al-Jaser , Manar Alqudah , Kamal Shah

{"title":"A mathematical analysis of human papilloma virus (HPV) disease with new perspectives of fractional calculus","authors":"Thabet Abdeljawad , Nadeem Khan , Bahaaeldin Abdalla , Asma Al-Jaser , Manar Alqudah , Kamal Shah","doi":"10.1016/j.aej.2025.03.136","DOIUrl":"10.1016/j.aej.2025.03.136","url":null,"abstract":"<div><div>The human papilloma virus (HPV) presents a significant global public health challenge, especially in regions with limited access to healthcare and preventive measures. This study introduces a novel mathematical model to analyze the transmission dynamics of HPV infection, incorporating advanced fractional calculus techniques. Unlike previous models, this framework integrates vaccination strategies, carrier dynamics, and reinfection phenomena through the innovative use of the piecewise Atangana–Baleanu derivative within the Caputo definition framework. The study key contributions includes establishing the existence and uniqueness theory, investigating Ulam–Hyers stability, and identifying equilibrium points for the proposed model. Furthermore, the work extends numerical methods by applying an Adams-type predictor–corrector scheme for Atangana–Baleanu derivatives and adapting the Adams–Bashforth–Moulton method for Caputo derivatives to achieve precise computational results. Through a detailed numerical analysis, the model explores the impact of varying fractional-order values on HPV transmission dynamics, providing insights into how fractional-order systems can better capture the complex interactions and interconnectedness of communities. These advancements highlight the novelty of the approach in improving disease modeling and enhancing the understanding of HPV transmission.</div></div>","PeriodicalId":7484,"journal":{"name":"alexandria engineering journal","volume":"125 ","pages":"Pages 575-599"},"PeriodicalIF":6.2,"publicationDate":"2025-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143863724","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Optimizing sustainable greenhouse flower-plant production: Managing trapezoidal demand dynamics and shortages 优化可持续温室花卉生产：管理梯形需求动态和短缺

IF 6.2 2区工程技术

alexandria engineering journal Pub Date : 2025-04-23 DOI: 10.1016/j.aej.2025.04.049

Anuz Kumar Chakrabarty , Md. Al-Amin Khan , Wedad Albalawi , Mohamed R. Eid , Ahmed M. Shehata , Aminur Rahman Khan , Ali Akbar Shaikh

{"title":"Optimizing sustainable greenhouse flower-plant production: Managing trapezoidal demand dynamics and shortages","authors":"Anuz Kumar Chakrabarty , Md. Al-Amin Khan , Wedad Albalawi , Mohamed R. Eid , Ahmed M. Shehata , Aminur Rahman Khan , Ali Akbar Shaikh","doi":"10.1016/j.aej.2025.04.049","DOIUrl":"10.1016/j.aej.2025.04.049","url":null,"abstract":"<div><div>Rapid growth of the greenhouse, nursery, and flower industry, fueled by advancements in sustainability, technology, and innovative farming techniques, necessitates detailed exploration of sustainable production practices. This study delves into the complex dynamics of greenhouse flower-plant production (GFPP), focusing on strategies to minimize system costs while reducing environmental impacts. The production process is segmented into four critical stages: seed germination, development, maturation, and decline. Throughout the germination phase, no sales occur. In the development phase, trays are allocated for individual plants in preparation for marketing. As plants mature, demand rises, stabilizes, and gradually declines, following a trapezoidal demand pattern (TDP). Greenhouse farming operates in controlled environments, relying on heating, cooling, artificial lighting, and fertilizers, which contribute to emissions. These emissions are regulated under various frameworks, including carbon tax (CT), cap-and-trade (CAT), and cap-and-price (CAP) schemes, each imposing different cost and compliance requirements on the producer. Flower plant mortality is modeled as a continuous probability distribution function, adding further complexity to production planning. This research aims to identify the optimal stocking time that minimizes the producer’s costs while adhering to emission regulations. Analytical insights are developed and validated through multiple numerical scenarios. Findings demonstrate that sustainable GFPP can achieve balance between economic efficiency and environmental responsibility. By adopting proposed strategies, producers can enhance operational sustainability, contribute to ecological preservation, and strengthen flower industry resilience.</div></div>","PeriodicalId":7484,"journal":{"name":"alexandria engineering journal","volume":"125 ","pages":"Pages 545-565"},"PeriodicalIF":6.2,"publicationDate":"2025-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143859806","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Enhanced security framework for medical data embedding based on octonionic steganographic transforms and FPGA-accelerated integrity verification 基于八元隐写变换和fpga加速完整性验证的医疗数据嵌入安全框架

IF 6.2 2区工程技术

alexandria engineering journal Pub Date : 2025-04-22 DOI: 10.1016/j.aej.2025.04.029

Mohamed Amine Tahiri , Ilham Karmouni , Ismail Mchichou , Ahmed Bencherqui , Ahmed El Maloufy , Hicham Karmouni , Hassane Moustabchir , Mhamed Sayyouri , Doaa Sami Khafaga , Eman Abdullah Aldakheel , Mohamed Abouhawwash

{"title":"Enhanced security framework for medical data embedding based on octonionic steganographic transforms and FPGA-accelerated integrity verification","authors":"Mohamed Amine Tahiri , Ilham Karmouni , Ismail Mchichou , Ahmed Bencherqui , Ahmed El Maloufy , Hicham Karmouni , Hassane Moustabchir , Mhamed Sayyouri , Doaa Sami Khafaga , Eman Abdullah Aldakheel , Mohamed Abouhawwash","doi":"10.1016/j.aej.2025.04.029","DOIUrl":"10.1016/j.aej.2025.04.029","url":null,"abstract":"<div><div>This study suggests a novel approach that combines steganography with innovative image and signal processing techniques to enhance the security and integrity of medical images. We employ octonions, which offer a rich and high-fidelity representation, to encode two medical images. Racah orthogonal polynomials (DORPs), which extract distinctive visual properties and are thus perfect for data concealment, are added to this method to improve it further. We created a verification method utilizing the SHA-256 hashing technique to guarantee data integrity. To identify any manipulation, this method computes the steganographic image's hash both before and after transmission. We used an FPGA-based technology to improve this process, which uses parallel processing to greatly speed up hash computations compared to conventional software techniques. Discrete wavelet decomposition (DWT), quaternion singular value decomposition (QSVD) of the cover picture, and the application of octonionic transforms to concealed images are the main components of our approach. Experimental results demonstrate high-fidelity image reconstruction, with PSNR values up to 40 dB, SSIM scores reaching 0.9900, and strong robustness against various attacks. In particular, the system achieves NC ≥ 0.98 even under geometric transformations such as rotation and scaling, thanks to an integrated geometric correction module based on the Arithmetic Optimization Algorithm (AOA). The FPGA implementation ensures low-latency integrity verification, making the framework suitable for embedded healthcare environments. The proposed solution shows strong potential for protecting sensitive diagnostic data in medical systems, combining mathematical rigor with hardware-level performance.</div></div>","PeriodicalId":7484,"journal":{"name":"alexandria engineering journal","volume":"125 ","pages":"Pages 480-495"},"PeriodicalIF":6.2,"publicationDate":"2025-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143859730","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

An improved and decentralized/distributed healthcare framework for disabled people through AI models 通过人工智能模型改进残疾人分散/分布式医疗保健框架

IF 6.2 2区工程技术

alexandria engineering journal Pub Date : 2025-04-22 DOI: 10.1016/j.aej.2025.03.010

Geetanjali Rathee , Sahil Garg , Georges Kaddoum , Samah M. Alzanin , Mohammad Mehedi Hassan

{"title":"An improved and decentralized/distributed healthcare framework for disabled people through AI models","authors":"Geetanjali Rathee , Sahil Garg , Georges Kaddoum , Samah M. Alzanin , Mohammad Mehedi Hassan","doi":"10.1016/j.aej.2025.03.010","DOIUrl":"10.1016/j.aej.2025.03.010","url":null,"abstract":"<div><div>Access to adequate healthcare is critical for everyone, but people with disabilities often face considerable challenges in receiving reliable and timely medical treatment. The Vision 2030 plan in Saudi Arabia intends to change the healthcare system by incorporating new technologies that increase accessibility, efficiency, and service delivery. However, current healthcare systems continue to suffer from delays, inefficient data processing, and accessibility concerns, especially for the visually impaired. This study proposes a more decentralized healthcare system that uses artificial intelligence (AI) and machine learning (ML) models to improve healthcare services for individuals with disabilities. The system achieves real-time data processing, reduces latency, and enhances decision-making accuracy by combining federated learning and zero-shot architectures. Furthermore, smart technologies such as the Internet of Things (IoT) and natural language processing (NLP) provide seamless data collection and analysis, allowing healthcare practitioners to provide prompt and personalized treatment. The suggested solution solves crucial issues such as inefficiencies in data processing, delays in obtaining medical information, and limits in current healthcare processes. This platform improves impaired people’s freedom and mobility by delivering remote healthcare solutions using AI-powered diagnostics and real-time monitoring. This study contributes to a more inclusive and efficient healthcare system in Saudi Arabia by bridging the gap between technology and accessibility, which aligns with the Vision 2030 objective of providing fair healthcare services to everyone.</div></div>","PeriodicalId":7484,"journal":{"name":"alexandria engineering journal","volume":"125 ","pages":"Pages 441-448"},"PeriodicalIF":6.2,"publicationDate":"2025-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143855894","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Preparation of g-C3N5/MOF(Ti) for photocatalytic degradation sulfamoylmethylpyrimidine from municipal wastewater g-C3N5/MOF（Ti）光催化降解城市污水中磺胺基甲基嘧啶的制备

IF 6.2 2区工程技术

alexandria engineering journal Pub Date : 2025-04-22 DOI: 10.1016/j.aej.2025.04.053

Jing Fu, Hui Yang

{"title":"Preparation of g-C3N5/MOF(Ti) for photocatalytic degradation sulfamoylmethylpyrimidine from municipal wastewater","authors":"Jing Fu, Hui Yang","doi":"10.1016/j.aej.2025.04.053","DOIUrl":"10.1016/j.aej.2025.04.053","url":null,"abstract":"<div><div>The g-C<sub>3</sub>N<sub>5</sub>/NH<sub>2</sub>-MIL-125(Ti) S-scheme heterojunction is synthesized combined with the advantages of NH<sub>2</sub>-MIL-125(Ti) and g-C<sub>3</sub>N<sub>5</sub> for photocatalytic degradation sulfamoylmethylpyrimidine (SMT) from wastewater. The construction of the S-type heterojunction of g-C<sub>3</sub>N<sub>5</sub>/MOF(Ti) effectively promotes the efficient separation of photogenerated carriers and significantly improves the photocatalytic activity. The construction of the S-type heterojunction solves the problems of weak visible light absorption response and photogenerated carrier recombination of photocatalytic materials such as TiO<sub>2</sub>, g-C<sub>3</sub>N<sub>4</sub> and MOF. The existence of the S-type heterojunction is proved by characterization analysis. The influence of the g-C<sub>3</sub>N<sub>5</sub>/MOF(Ti) dosage, SMT concentration and solution pH on SMT removal is investigated with a large degradation removal of 97.4 %. The inorganic salt ions and water matrices have slightly influenced SMT removal. The g-C<sub>3</sub>N<sub>5</sub>/MOF(Ti) still has good reusability after 5 cycles, which is very important in practical applications. However, the natural light is not stable and requires artificial light sources, which will increase energy consumption in practical applications. The g-C<sub>3</sub>N<sub>5</sub>/MOF(Ti) shows a large mineralization degree for the SMT. The SMT photocatalytic mechanism is analyzed, based on energy band structure data calculations and density functional theory calculations.</div></div>","PeriodicalId":7484,"journal":{"name":"alexandria engineering journal","volume":"125 ","pages":"Pages 449-462"},"PeriodicalIF":6.2,"publicationDate":"2025-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143855895","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

An innovative nonlinear grey system model with generalized fractional operators and its application 带有广义分数算子的创新非线性灰色系统模型及其应用

IF 6.2 2区工程技术

alexandria engineering journal Pub Date : 2025-04-22 DOI: 10.1016/j.aej.2025.04.016

Jianguo Zheng , Meixin Huang , Jiale Zhang

{"title":"An innovative nonlinear grey system model with generalized fractional operators and its application","authors":"Jianguo Zheng , Meixin Huang , Jiale Zhang","doi":"10.1016/j.aej.2025.04.016","DOIUrl":"10.1016/j.aej.2025.04.016","url":null,"abstract":"<div><div>Accurate electricity generation forecasting is essential for optimizing energy management, ensuring grid stability, and supporting sustainable development. This study presents a novel approach for forecasting electricity generation using a conformable fractional nonlinear grey Bernoulli model (ACFNGBM). The model integrates fractional-order calculus, nonlinear mechanisms, and Particle Swarm Optimization (PSO) to address challenges posed by small sample sizes, nonlinear relationships, and volatile energy data. The hyperparameters of the model are optimized to minimize prediction errors, improving the accuracy of the forecasts. The research uses electricity generation data from four regions in China (2004–2021) to compare the performance of the ACFNGBM with traditional grey models, advanced grey systems, and machine learning methods. The experimental results reveal that the proposed model outperforms the benchmark models in terms of prediction accuracy and stability. A sensitivity analysis further examines the influence of fractional order and power index on the model’s performance, highlighting the importance of hyperparameter optimization. Forecasts for 2024–2029 suggest a steady increase in electricity generation across all regions, with Jiangxi and Liaoning exhibiting the highest outputs, while Xizang shows gradual growth. The ACFNGBM proves to be a robust tool for energy forecasting, offering significant potential for sustainable energy planning and management.</div></div>","PeriodicalId":7484,"journal":{"name":"alexandria engineering journal","volume":"125 ","pages":"Pages 463-479"},"PeriodicalIF":6.2,"publicationDate":"2025-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143855896","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0