Ain Shams Engineering Journal最新文献

{"title":"Reliable methodology for performance enhancement of hybrid photovoltaic-thermoelectric system via dynamic reconfiguration","authors":"Hammad Alnuman,&nbsp;Ahmed Fathy","doi":"10.1016/j.asej.2026.104007","DOIUrl":"10.1016/j.asej.2026.104007","url":null,"abstract":"<div><div>The operation of a hybrid photovoltaic (PV)-thermoelectric generation (TEG) unit is affected by real-world environmental factors like partial shade conditions (PSCs) and nonhomogeneous heat distribution (NHD). They have negative impact on the system’s output characteristics which results in reducing operating reliability and power loss. In order to optimize the system harvested generation, this research suggests a new dynamic reconfiguration of PV-TEG generating unit using the most recent blood-sucking leach optimizer (BSLO). The problem is presented as restricted optimization problem with the purpose of improving the generated power from PV-TEG unit. Many benefits come with the suggested methodology including strong local solution avoidance ability, rapid convergence speed, and outstanding exploration/exploitation balance. The symmetric 6 × 6 and asymmetric 6 × 10 arrays under ten PSCs including uneven column and row, long and short wide, long and short narrows, outer, diagonal, random, and center patterns are the two case studies that are investigated. The suggested BSLO is validated through conducting comparison to reported approaches and other programed Puma optimization algorithm (POA), artificial gorilla troops optimizer (GTO), and Beluga whale optimization (BWO). The suggested BSLO yields better generation boost of 27.04% for symmetric 6 × 6 array compared to the POA that obtained 23.86% during short wide shade pattern. However, the best enhancement that the suggested BSLO achieved for asymmetric 6 × 10 array during short wide pattern is 15.29%. The obtained findings validated the superiority of the suggested BSLO in accurately resolving the optimal reconfiguration of PV-TEG generating unit under PSCs and NHD.</div></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":"17 2","pages":"Article 104007"},"PeriodicalIF":5.9,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146078684","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}

{"title":"A novel Complemented input matching model for accurate and Timely emotion recognition","authors":"Monia Hamdi ,&nbsp;Noha Alduaiji ,&nbsp;Mourad Elloumi ,&nbsp;Somia Asklany ,&nbsp;Fayha Almutairy ,&nbsp;Naif M. Alotaibi ,&nbsp;Amr Yousef ,&nbsp;Ghulam Abbas","doi":"10.1016/j.asej.2026.103987","DOIUrl":"10.1016/j.asej.2026.103987","url":null,"abstract":"<div><div>Emotion identification is a fundamental requirement for patient-centered healthcare, as it enables prompt understanding of patients’ emotional states during clinical care. Patient suffering and rehabilitation stress are increased by the current methods’ incapacity to swiftly and accurately identify emotions based on hand and facial movement analysis. To address this problem, this study proposes the Complemented Input Matching Model (CIMM), which aims to achieve accurate emotion recognition with low processing delay. The proposed model employs a multi-data fusion strategy that integrates temporal emotion data with expected isolation inputs to reduce combinatorial errors and improve decision-making efficacy. Trials are conducted to define emotions using EEG and ECG signals from an updated publicly available dataset collected from 50 individuals at 20-second intervals and sorted into 180–200 labels. A variety of fusion events, including error-free and time-efficient examples, are identified using both existing and prior isolation techniques. The performance of the proposed model is evaluated using metrics such as fusion ratio, accessibility, accuracy, mistake rate, and time required. Experimental results demonstrate the effectiveness of the CIMM for accurate and efficient emotion recognition in healthcare settings, with a 10.65% improvement in fusion ratio, an 8.72% increase in accessibility, a 9.34% increase in precision, a 9.35% decrease in error, and an 8.87% reduction in time requirement across various data instances.</div></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":"17 3","pages":"Article 103987"},"PeriodicalIF":5.9,"publicationDate":"2026-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146081488","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}

{"title":"Implications of façade construction sequence for fire safety in high‑rise buildings","authors":"Jing Li ,&nbsp;Xiaodan Li ,&nbsp;Zhiping Liu ,&nbsp;Xinyi Hu ,&nbsp;Zongjun Xia ,&nbsp;Yunci Guo ,&nbsp;Qi Yang ,&nbsp;Xiaojie Yang","doi":"10.1016/j.asej.2026.103989","DOIUrl":"10.1016/j.asej.2026.103989","url":null,"abstract":"<div><div>Fires during the construction of high-rise buildings occur frequently. This study proposes to improve high-rise building construction fire safety by optimizing the construction sequence of the building façade. Smoke spread simulation of 63 façade construction sequences under ambient wind conditions. Based on seven evenly distributed fire points inside the building, the smoke-affected area was quantified. Results show that the optimal sequence is to complete the windward façade first, then the leeward façade, and finally the lateral façades. This sequence substantially reduces the affected area, mitigates stack-effect-driven smoke spread, and lowers smoke rise height. The optimization showed the strongest effect on visibility, followed by temperature, and the smallest carbon monoxide concentration. This effect varies with fire source location. Moreover, as the number of complete façades increases, the influence shows a decreasing trend. These findings provide a theoretical basis and offer practical guidance for planning façade construction in high-rise buildings.</div></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":"17 3","pages":"Article 103989"},"PeriodicalIF":5.9,"publicationDate":"2026-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146057289","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}

{"title":"Modelling of enhanced predictive analytics and decision-making approach using recurrent autoencoder with attribute subset reduction for students’ academic performance","authors":"Abdulrahman H. Altalhi,&nbsp;Mahmoud Ragab","doi":"10.1016/j.asej.2026.103999","DOIUrl":"10.1016/j.asej.2026.103999","url":null,"abstract":"<div><div>Education plays a vital part in society as it helps economic growth through human capital, decreases crime, and enhances common well-being. Currently, predictive modelling plays a crucial role in decision-making procedures in each branch of action. Conventional techniques for recognising at-risk students often rely on reactive events that occur only after academic complexities have already been demonstrated, usually too late to avert failure or withdrawal. The development of predictive analytics powered by artificial intelligence (AI) provides a paradigm shift in proactive intervention tactics that can recognise students at risk of academic failure or dropout before vital thresholds are attained. Predictive analytics has developed as a transformative method in educational technology, leveraging AI and machine learning (ML) models to recognise at-risk students, forecast academic performances, and recommend targeted interventions before failure happens. ML for predictive analytics is altering data-driven decision-making through industries by leveraging enormous datasets and innovative techniques to discover hidden patterns and estimate future tendencies. In this manuscript, a Predictive Analytics and Decision-Making Using Recurrent Autoencoder with Dimensionality Reduction (PADM-RAEDR) approach is presented in the education sector. The aim is to develop an effective framework that enhances predictive analytics and supports effective decision-making in the education domain. At first, the data pre-processing stage is done by applying Z-score standardisation. For an effective feature selection process, the PADM-RAEDR model employs mutual information (MI), symmetric uncertainty (SU), and minimum redundancy maximum relevance (mRMR) to remove irrelevant and redundant data. At last, the long short-term memory with auto-encoder (LSTM-AE) method is employed for classification. The comparison analysis of the PADM-RAEDR model demonstrated a superior accuracy value of 98.61% over existing methods under a benchmark dataset.</div></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":"17 3","pages":"Article 103999"},"PeriodicalIF":5.9,"publicationDate":"2026-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146081487","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}

{"title":"Microstructural and mechanical response of fly ash–bentonite modified fiber-reinforced concrete under coupled sulfate attack and wet–dry cycles","authors":"Nan Zhao ,&nbsp;Chao Liu ,&nbsp;Chao Zhu ,&nbsp;Sheliang Wang ,&nbsp;Haijun He","doi":"10.1016/j.asej.2026.104000","DOIUrl":"10.1016/j.asej.2026.104000","url":null,"abstract":"<div><div>Concrete infrastructures located in coastal areas are frequently subjected to coupled sulfate corrosion and wet–dry cycling (WDC). The durability behavior of concrete incorporating bentonite and fly ash (FA) was evaluated under the simultaneous influence of WDC. Concrete containing nine mixtures of different amounts of bentonite and FA were exposed to 150 WDC in Na₂SO₄(aq), MgSO₄(aq) and water, respectively. Physical and mechanical properties, for instance, compressive strength along with the relative dynamic modulus of elasticity (RDEM) were tested to assess the degree of deterioration of the concrete during WDC. In addition, the concrete stress–strain characteristics were analyzed to determine the linkage among modulus of elasticity, peak stress, and peak strain in different sulfate solutions and the frequency of WDC. Furthermore, environmental SEM and industrial computed tomography (CT) were employed to examine the product composition and pore structure evolution at various erosion phases. Results show that concrete incorporating fly ash and bentonite exhibited up to a 33.2% increase in compressive strength in Na₂SO₄ and a 61.5 MPa peak strength in water during WDC. However, RDEM decreased by up to 53.5% in high–fly ash mixtures after 150 cycles. CT analysis further revealed that pores larger than 0.1 mm³ increased by 120.11% in the control group, whereas the addition of bentonite and fly ash reduced macropore volume by 49.21%, demonstrating their synergistic role in refining the pore structure and enhancing durability. The peak stress followed the same increase–decrease pattern in sulfate environments but continued to rise in water with more WDC cycles. This study introduces a novel multiscale evaluation of fiber-reinforced concrete incorporating bentonite and fly ash under coupled sulfate attack and wet–dry cycling, a combination rarely addressed in previous research. By integrating mechanical testing, stress–strain modeling, SEM, and 3D CT pore analysis, the work reveals the synergistic roles of bentonite and fly ash in refining pore structure and governing deterioration mechanisms. These findings provide new insights for designing durable concrete for coastal environments.</div></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":"17 3","pages":"Article 104000"},"PeriodicalIF":5.9,"publicationDate":"2026-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146057589","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}

{"title":"Photonic spin hall shift manipulation at the graphene atomic medium","authors":"Qaisar Khan ,&nbsp;Meraj Ali Khan ,&nbsp;Ibrahim Al-Dayel ,&nbsp;Majid Khan","doi":"10.1016/j.asej.2026.103990","DOIUrl":"10.1016/j.asej.2026.103990","url":null,"abstract":"<div><div>This study reports the manipulation of photonic spin hall shift at the graphene medium that lies between two mirrors. The incoming probe light engages with a cavity filled with four levels graphene medium. The spin hall shift of the photons is tuned to positive or negative values, depending on the properties of the driving fields. The maximum spin hall shift which lies in <span><math><mo>−</mo><mn>50</mn><mi>λ</mi><mo>≤</mo><mi>S</mi><msubsup><mi>h</mi><mrow><mi>p</mi></mrow><mrow><mi>L</mi><mo>,</mo><mi>R</mi></mrow></msubsup><mo>≤</mo><mn>50</mn><mi>λ</mi></math></span> is a function of incidence angle and independent of control field Rabi frequency. The minimum spin hall shift lies in the range <span><math><mo>±</mo><mn>17.79</mn><mi>λ</mi><mo>≤</mo><mi>S</mi><msubsup><mi>h</mi><mrow><mi>p</mi></mrow><mrow><mi>L</mi><mo>,</mo><mi>R</mi></mrow></msubsup><mo>≤</mo><mo>±</mo><mn>17.83</mn><mi>λ</mi></math></span> against the control field Rabi frequency (<span><math><mo>|</mo><msub><mi>R</mi><mrow><mn>1</mn></mrow></msub><mo>|</mo></math></span>= 0 G and 20 G). These findings have significant applications in areas such as sensing technology, quantum computing and optical communication.</div></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":"17 3","pages":"Article 103990"},"PeriodicalIF":5.9,"publicationDate":"2026-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146057587","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}

{"title":"On fuzzy valued fractional iterative schemes","authors":"Yuanheng Wang ,&nbsp;Naseem Zulfiqar Ali ,&nbsp;Awais Gul Khan ,&nbsp;Muhammad Zakria Javed ,&nbsp;Muhammad Uzair Awan ,&nbsp;Ali Akgül ,&nbsp;Yahya Almalki","doi":"10.1016/j.asej.2025.103964","DOIUrl":"10.1016/j.asej.2025.103964","url":null,"abstract":"<div><div>This work provides a two-step fractional iterative algorithm for fuzzy nonlinear equations (FNEs). The proposed algorithm combines the memory effect of the fractional derivatives and the uncertainty representation of the fuzzy numbers through the use of fractional calculus and fuzzy logic, respectively. Convergence analysis reveals that the method is of order <span><math><mn>4</mn><mi>ϑ</mi></math></span>. Numerical experiments involving a real-world profit-maximization problem affirm the accuracy and better convergence as compared to the classical and fractional Newton methods. Numerical examples and their graphical illustrations of the fuzzy solutions, absolute errors, and functional values also help to argue for the efficiency and reliability of the given technique.</div></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":"17 3","pages":"Article 103964"},"PeriodicalIF":5.9,"publicationDate":"2026-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146057290","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}

{"title":"A complete dynamical analysis of a discontinuously driven resonance circuit","authors":"Barka Infal ,&nbsp;Muhammad Muddassar ,&nbsp;Adil Jhangeer","doi":"10.1016/j.asej.2026.104005","DOIUrl":"10.1016/j.asej.2026.104005","url":null,"abstract":"<div><div>Multistable systems with non-smooth dynamics provide serious challenges to the engineering design. Using a suite of standard numerical tools, our analysis of a canonical non-smooth system: a resonant circuit with an asymmetric cubic restoring force fed by a discontinuous square wave voltage, offers two important contributions to the study of such systems. First, the discontinuous forcing itself causes the basins of attraction with riddled boundaries to be created, which is a fundamental sensitivity that cannot be predicted by local analysis. Second, our Lyapunov landscape analysis finds the coefficient of quadratic nonlinearity, <span><math><msub><mi>l</mi><mn>2</mn></msub></math></span>, to be a significant critical stability switch, which can be directly used to control the predictability of the system. Lastly, we prove this control by achieving chaos synchronization and determining the critical coupling necessary to stabilize a problem stabilize synchronously as the required. This description of the global dynamics of the system is crucial for achieving robust performance in systems that incorporate both electronic and mechanical components.</div></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":"17 3","pages":"Article 104005"},"PeriodicalIF":5.9,"publicationDate":"2026-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146057588","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}

{"title":"Spatio-temporal evolution and influencing factors analysis of water conservation – water regulation – socio-economic development coupling coordination in the Yellow River mainstem","authors":"Huaibin Wei ,&nbsp;Min Li ,&nbsp;Yongxiao Cao ,&nbsp;Jing Liu ,&nbsp;Shan-e-hyder Soomro ,&nbsp;Lei Liu ,&nbsp;Qinghu Zhao","doi":"10.1016/j.asej.2026.103996","DOIUrl":"10.1016/j.asej.2026.103996","url":null,"abstract":"<div><div>Starting from the needs of refined basin management, this study constructed a three-dimensional coupling coordination analysis framework integrating water conservation (WC), water regulation (WR), and socio-economic development (SED). This approach addressed existing research limitations in distinguishing between the “efficiency enhancement” and “constraint management” dimensions. Using data from 44 prefecture-level administrative regions along the Yellow River mainstem from 2014 to 2023, this study systematically revealed the spatiotemporal evolution of coupling coordination within the WC-WR-SED system and its influencing factors through the integrated application of the coupling coordination degree model, spatio-temporal geographical weighted regression (GTWR), and the Geo-detector method. The results indicated that the coupling coordination degree exhibited a stable gradient pattern, with “downstream &gt; midstream &gt; upstream”, and the overall differences evolve in an “inverted U-shape” pattern, with intra-provincial differences being the primary contributor. The influence of factors such as the proportion of unconventional water utilization to total water use and Engel’s coefficient showed significant spatial heterogeneity, accompanied by nonlinear enhancement effects among these factors. This study deepens the understanding of synergistic patterns in water-human systems within water-scarce basins, providing a scientific basis for differentiated collaborative governance in the Yellow River Basin.</div></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":"17 2","pages":"Article 103996"},"PeriodicalIF":5.9,"publicationDate":"2026-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146023812","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}

{"title":"Comparative analysis of regression and enhanced label propagation approaches for predicting airborne dust particle levels in environmental data","authors":"Abdulaziz S. Alaboodi ,&nbsp;Vijipriya Jeyamani ,&nbsp;Subbarayan Sivasankaran ,&nbsp;Hany R. Ammar ,&nbsp;Shahad A. Bin Shuqayr","doi":"10.1016/j.asej.2026.103984","DOIUrl":"10.1016/j.asej.2026.103984","url":null,"abstract":"<div><div>Pollution of airborne dust particle poses serious challenges to the environment and human health, and the operational reliability of precision measurement laboratories, particularly in regions characterized by harsh climatic conditions. Accurate prediction of dust particle concentrations remains challenging due to complex nonlinear interactions among meteorological factors and the limited availability of fully labeled environmental datasets. Therefore, there is a critical need for advanced and robust modeling approaches that can improve the prediction accuracy while handling data uncertainty and sparsity. In this article, several regression analysis (models) and label propagation approaches have been applied and examined for predicting the airborne dust particle concentrations within the national measurement &amp; calibration center (NMCC), saudi standards metrology and quality organization (SASO), Riyadh, Saudi Arabia. Six different models, namely, random forest regression (RFR), K-nearest neighbours regression (KNNR), cosine similarity-based label propagation regression (CS_LPR), adaptive fuzzy entropy-based label propagation regression (AFE_LPR), random forest-based label propagation (RF_LPR), and KNN-based label propagation (KNN_LPR) models were developed for forecasting the airborne dust particle levels and investigated the performance of each model. The airborne dust particles were experimentally counted using an advanced particle measurement technique by considering various factors, namely, air quality, environmental temperature, humidity, wind speed, and rainfall. The performance of the developed models was checked using different metrics such as mean absolute error (MAE), mean squared error (MSE), root mean squared error (RMSE), R², adjusted R², mean absolute scaled error (MASE), and Huber loss. The results obtained from each model demonstrate that the label propagation models (CS_LPR, AFE_LPR, RF_LPR, and KNN_LPR) have exhibited well fitted one, and achieved excellent accuracy on the test data (R² &gt; 0.98) due to effective learning of the training data, including noise and specific patterns present in the dataset. The finding obtained through this research work emphasize that the label propagation methods can effectively address the prediction challenges in environmental monitoring tasks. This paper addresses the comparative performance and features of each approach in airborne dust particle prediction.</div></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":"17 2","pages":"Article 103984"},"PeriodicalIF":5.9,"publicationDate":"2026-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146023815","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}