{"title":"Hybrid Markov weighted fuzzy kernel time series with red Piranha Walrus optimization for gold price forecasting","authors":"Gijy S. Pillai , M. Immaculate Mary","doi":"10.1016/j.asej.2025.103448","DOIUrl":"10.1016/j.asej.2025.103448","url":null,"abstract":"<div><div>The price of gold is crucial to the world’s financial and economic systems; hence precise estimation of gold prices is essential. The current study proposes a hybrid Markov Weighted Fuzzy Kernel Time Series framework for gold price prediction, together with Red Piranha Walrus Optimization (MWFKTS-RPWO). Initially the input data is preprocessed and fed to the MWFKTS approach. It incorporates Markov models to capture temporal dependencies, fuzzy logic to handle uncertainty, and kernel methods to capture nonlinear relationships in gold price data. Additionally, RPWO is employed to optimize model parameters. The proposed MWFKTS-RPWO model demonstrates superior performance with a training time of 60–90 s, inference time of 1–2 ms per sample, and memory usage of 200 MB. Compared to existing methods, it offers an optimal balance between computational efficiency and accuracy. As a result, the proposed method is a superior choice for managing and forecasting gold prices.</div></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":"16 7","pages":"Article 103448"},"PeriodicalIF":6.0,"publicationDate":"2025-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143902264","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}
Asma Alanazy , Galal M. Moatimid , Yasmeen M. Mohamed
{"title":"Inspection of nonlinear instability of two cylindrical interfaces between viscoelastic magneto-rheological fluids","authors":"Asma Alanazy , Galal M. Moatimid , Yasmeen M. Mohamed","doi":"10.1016/j.asej.2025.103401","DOIUrl":"10.1016/j.asej.2025.103401","url":null,"abstract":"<div><div>The study examines the dynamics of sinking viscoelastic magnetic fluids in porous media saturated within three concentric cylindrical structures. The cylindrical interfaces delineate two viscoelastic Powell-Eyring liquids, which are interposed by a viscoelastic media. Each cylindrical layer has an axial direction that extends infinitely in both vertical orientations. Tangentially orientated homogeneous magnetic fields impose stress on the system and affect surface tension. The calculations are simplified through the application of viscous potential theory aimed at improved clarity. Consequently, the viscoelastic effects are analyzed to illustrate the contribution of the nonlinear boundary conditions. The Maxwell equations are utilized for the magnetic field, whereas the Brinkman-Darcy equations describe fluid dynamics. The introduction of a uniform magnetic field increases the system’s complexity, rendering it suitable for validating and improving models in Magnetohydrodynamics. Accordingly, two nonlinear characteristic ordinary differential equations that dictate the surface displacements are formulated. A thorough examination of the pertinent nonlinear stability requirements is provided. A unique methodology termed the non-perturbative approach is employed, mostly based on He’s frequency formula. The purpose of this technology is to convert nonlinear ordinary differential equations into linear ones. The Mathematica Software is utilized to confirm the accurate alignment between the coupled systems of linear and nonlinear ordinary differential equations. It is found that the Darcy number enhances stability in the stability schematic, whereas the Powell-Eyring fluids and Ohnesorge numbers lead to destabilizing impact. A series of PolarPlot configurations, to guarantee stable solutions, are analyzed for various physical factors.</div></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":"16 7","pages":"Article 103401"},"PeriodicalIF":6.0,"publicationDate":"2025-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143898800","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":"Transient dynamics of groundwater levels in sloping aquifers: Effects of recharge variability, semi-permeable bottoms, and subsurface drainage","authors":"Zheng-Xian Lin, Ping-Cheng Hsieh","doi":"10.1016/j.asej.2025.103450","DOIUrl":"10.1016/j.asej.2025.103450","url":null,"abstract":"<div><div>This research addresses the linearized Boussinesq equation based on the Dupuit-Forchheimer assumption to analytically explore groundwater level changes resulting from initial water levels under three conditions after installing subsurface drainage pipes along two boundaries. The analytical solutions are derived using the integral transform method associated with an efficient time-stepping linearized technique. To validate the present solution, the trial and error method was employed to calibrate the physical parameters to fit the previous research results, which was satisfactory. Further analyses were conducted to assess the impact of different parameters on the efficacy of subsurface drainage. Simulations indicate that time-varying surface recharge affects the rise in groundwater levels during the initial drainage phase. The recharge factor from semi-permeable layers influences the groundwater levels in the later phase, while the slope factor affects the overall distribution of groundwater levels. The slope increases the flow velocity and thus increases the drainage speed. The hydraulic resistance retards the upward recharge via the semi-permeable layer and becomes the dominant factor affecting groundwater levels at later stages. The present analytical model employs the time-stepping technique to linearize the nonlinear term in the Boussinesq equation. It can address any pattern of temporally varying surface recharge using unit step functions and evaluate upward subsurface recharge through a semi-permeable layer under distinct initial groundwater levels in a sloping aquifer. The study underscores the importance of considering multiple recharge sources and geomorphological factors in designing effective drainage systems. It enhances understanding of the effectiveness of underground drainage systems under various geological parameters via applied mathematics.</div></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":"16 7","pages":"Article 103450"},"PeriodicalIF":6.0,"publicationDate":"2025-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143898801","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":"Optimizing power consumption for underwater positioning system with hydrophone sensor arrays","authors":"K. Sudarsan , N. Ramadass , G.A. Ramadass","doi":"10.1016/j.asej.2025.103355","DOIUrl":"10.1016/j.asej.2025.103355","url":null,"abstract":"<div><div>In underwater research and exploration, detecting and navigating underwater devices pose significant challenges, mainly due to factors such as climate change and surrounding noise, leading to positioning errors. Traditional baseline systems like Long-Base Line (LBL), Short Base-Line (SBL), and Ultra-Short Base Line (USBL) have limitations in accuracy and cost-effectiveness. This paper proposes a novel and cost-effective approach utilising a hydrophone sensor array coupled with beamforming techniques. To address these challenges. The proposed system aims to enhance detection accuracy and reduce integration complexity while optimizing power consumption, thus extending the lifespan of underwater instruments. By adjusting beam angles and amplitudes of transmitting signals based on the position of underwater instruments, our proposed technique offers a simplified yet efficient solution for underwater device detection and navigation. An experimental investigation has been carried out to validate the performance of the proposed system. The results obtained through the investigation show an improved power consumption of up to fifty per cent and an increase in the battery life of underwater devices/instruments. The proposed technique is not only efficient but also sustainable and reliable.</div></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":"16 7","pages":"Article 103355"},"PeriodicalIF":6.0,"publicationDate":"2025-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143895876","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}
Tejeswara Rao Maganti, Hari Kiran Reddy Gopireddy, Krishna Rao Boddepalli
{"title":"Enhanced flexural performance and crack control in hybrid fiber ECC-ACC beams","authors":"Tejeswara Rao Maganti, Hari Kiran Reddy Gopireddy, Krishna Rao Boddepalli","doi":"10.1016/j.asej.2025.103451","DOIUrl":"10.1016/j.asej.2025.103451","url":null,"abstract":"<div><div>This study investigates the flexural and cracking behaviour of sustainable Alkali-Activated Concrete (AAC), an Engineering Cementitious Composite (ECC), reinforced with hybrid fibers. Fiber-reinforced flexural beams (FRFB) incorporating a ternary blend of Ground GGBS, fly ash, and silica fume in a 50:35:15 (GGBS:FA:SF) ratio were reinforced with steel, polypropylene, and hybrid fibers. The experimental testing focused on evaluating first crack load, ultimate load, load–deflection behaviour, and post-crack performance. The beams, measuring 150 mm × 230 mm in cross-section and spanning 1500 mm, were subjected to various fiber volume fractions. The experimental results showed that hybrid fibers (2.0 %) significantly outperformed steel fibers (2.5 %) in terms of crack resistance and flexural stiffness, with a maximum compressive strength of 102.68 MPa. Hybrid fiber-reinforced beams achieved a peak load of 375 kN with a maximum deflection of 13.28 mm, indicating superior post-crack behaviour and higher load-bearing capacity after initial cracking. In comparison, steel fiber-reinforced beams with 2.5 % volume fraction reached a peak load of 300 kN and a deflection of 12.24 mm, while polypropylene fiber-reinforced beams (0.30 % PF) achieved a maximum load of 275 kN and deflection of 10.58 mm. The Finite Element Analysis (FEA) conducted using ANSYS predicted cracking patterns and load–deflection responses, showing a strong correlation with experimental results. The nonlinear analysis indicated that hybrid fiber-reinforced AAC beams (HFRAACFB) demonstrated markedly higher crack resistance, with fewer and smaller cracks compared to beams reinforced with steel or polypropylene fibers alone. The FEA results confirmed that the hybrid system provided improved stress distribution and crack control, with the first crack initiating at approximately 50 kN load and progressing more gradually in the hybrid fiber beams. These findings underscore the importance of using hybrid fiber reinforcement in AAC for enhancing both mechanical performance and crack resistance, offering a sustainable solution for structural applications in modern infrastructure.</div></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":"16 7","pages":"Article 103451"},"PeriodicalIF":6.0,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143895877","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}
Sureshkumar Natarajan , Syed Abdul Rahman Al-Haddad , Faisul Arif Ahmad , Raja Kamil , Mohd Khair Hassan , Syaril Azrad , June Francis Macleans , Sadiq H. Abdulhussain , Basheera M. Mahmmod , Nurbek Saparkhojayev , Aigul Dauitbayeva
{"title":"Deep neural networks for speech enhancement and speech recognition: A systematic review","authors":"Sureshkumar Natarajan , Syed Abdul Rahman Al-Haddad , Faisul Arif Ahmad , Raja Kamil , Mohd Khair Hassan , Syaril Azrad , June Francis Macleans , Sadiq H. Abdulhussain , Basheera M. Mahmmod , Nurbek Saparkhojayev , Aigul Dauitbayeva","doi":"10.1016/j.asej.2025.103405","DOIUrl":"10.1016/j.asej.2025.103405","url":null,"abstract":"<div><div>The field of speech signal processing has undergone significant transformation through extensive research. There is growing interest in Speech Enhancement (SE) and Automatic Speech Recognition (ASR), with SE serving as a crucial preliminary step to enhance ASR performance. This paper addresses key challenges, particularly the need to maintain speech quality and improve intelligibility in ASR systems. Recently, deep learning techniques have emerged as powerful tools for tackling these challenges. This systematic review examines speech enhancement and recognition techniques, emphasizing denoising, acoustic modeling, and beamforming. Various deep learning architectures, such as Deep Neural Networks (DNN), Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN), Long Short-Term Memory (LSTM) networks, and Hybrid Neural Networks, are reviewed to highlight their roles in enhancement and recognition. The review specifically details their usage, the features utilized in each study, the databases employed, performance, and limitations, all presented in a structured tabular format. This approach provides valuable insights into the strengths and weaknesses of each method, guiding future advancements in the field. In particular, it emphasizes that LSTM-RNN models excel in temporal signal processing, while hybrid models demonstrate superior performance in optimizing task outcomes. The paper conducts a comprehensive statistical analysis of 187 research papers that exclusively utilize deep neural networks to address the challenges of speech enhancement and recognition, presenting the latest advances in the field. The review examines publications from 2012 to 2024, shedding light on research trends and patterns, while the proposed solutions aim to bridge gaps for researchers in this evolving domain.</div></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":"16 7","pages":"Article 103405"},"PeriodicalIF":6.0,"publicationDate":"2025-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143887190","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":"An AI-based badminton smash detection using residual-shuffle network optimized based on upgraded pufferfish optimizer","authors":"Weimin Peng, Wangtian Zheng","doi":"10.1016/j.asej.2025.103414","DOIUrl":"10.1016/j.asej.2025.103414","url":null,"abstract":"<div><div>The growth in the field of sports analytics has observed a paradigm shift with the advent of artificial intelligence (AI) and deep learning techniques. The accurate detection of smashes in badminton is significant for strategic decision-making and performance enhancement. This research presents an innovative AI-based framework, called DeepSmash, which uses a Residual-Shuffle Network (ResNet) optimized by an upgraded Pufferfish Optimizer (UPO) to automatically detect badminton smashes from broadcasted video footage. By a combination of the strengths of ResNet’s hierarchical feature representation and UPO’s efficient parameter tuning, the model achieves high-precision recognition of smashes, drops, clears, net actions, and lifts. A comprehensive comparative analysis with state-of-the-art models demonstrates the superiority of our proposed approach, underscoring its potential to revolutionize sports analytics and athlete performance enhancement. This innovation not only sets a new benchmark for AI applications in sports technology but also covers the way for the development of more efficient sports analytics tools.</div></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":"16 7","pages":"Article 103414"},"PeriodicalIF":6.0,"publicationDate":"2025-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143887189","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}
Azhar Iqbal , Vivek , Tayyaba Akram , Wei Sin Koh , Abdullah M. Alsharif
{"title":"Application of Fibonacci wavelets using operational matrix and differential transform method to study rectangular porous fin for nonlinear temperature in moving condition","authors":"Azhar Iqbal , Vivek , Tayyaba Akram , Wei Sin Koh , Abdullah M. Alsharif","doi":"10.1016/j.asej.2025.103412","DOIUrl":"10.1016/j.asej.2025.103412","url":null,"abstract":"<div><div>In this study, a novel numerical technique, the Fibonacci Wavelet Collocation Method (FWCM), is developed to analyze the nonlinear temperature distribution in a permeable moving fin within a rectangular domain. The governing highly nonlinear ordinary differential equation is formulated using Darcy's model and solved using FWCM and the Differential Transformation Method (DTM). The accuracy and efficiency of FWCM are validated by comparing its results with exact solutions and DTM. The proposed method demonstrates superior accuracy, achieving deviations of less than 0.001% from exact solutions, while DTM exhibits relatively higher errors. Additionally, FWCM requires 40% fewer computational resources compared to conventional numerical techniques, making it a more efficient alternative for solving complex heat transfer problems. The impact of key physical parameters on temperature distribution is analyzed through graphical and tabular representations. The findings confirm the robustness of FWCM in handling highly nonlinear ordinary differential equations, making it a promising approach for engineering applications involving heat transfer in porous media.</div></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":"16 7","pages":"Article 103412"},"PeriodicalIF":6.0,"publicationDate":"2025-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143887187","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":"Adaptive barrier function terminal sliding mode control for nonlinear systems subject to uncertain bounded perturbations","authors":"ZiKai Wang , Kuo-Hsien Hsia , Saleh Mobayen , Omid Mofid , Pawel Skruch","doi":"10.1016/j.asej.2025.103418","DOIUrl":"10.1016/j.asej.2025.103418","url":null,"abstract":"<div><div>This research proposes a tracking control strategy for perturbed and uncertain nonlinear systems by incorporating an adaptive barrier function within a terminal sliding mode control framework. The proposed approach leverages terminal sliding mode control, integrated with the global convergence principle, to ensure global finite-time tracking performance. Additionally, the adaptive barrier function mechanism is employed to effectively mitigate the impact of system perturbations and uncertainties, enhancing overall robustness and stability in nonlinear system control. The key findings and advantages of the proposed method are summarized as: (1) The use of terminal sliding mode control enhances the system’s robustness; (2) Since the controller derivative is continuous except for a discontinuous sign function, integrating the barrier function-based control signal effectively minimizes chattering; (3) By incorporating an adaptive barrier-tuning function, the method ensures robustness against system uncertainties, disturbances, and nonlinearities while mitigating the chattering effect; (4) The proposed method improves tracking accuracy and reduces chattering caused by switching laws; (5) This novel approach holds significant potential for real-world applications, particularly in tracking control scenarios involving input saturations and time delays in uncertain nonlinear systems. Additionally, the proposed approach is highly adaptable for practical applications as it employs two adaptation rules to handle uncertainties and disturbances with unknown upper bounds under specific conditions. Numerical simulation and experimental validation on a rotary inverted pendulum system demonstrate the effectiveness and feasibility of the proposed control scheme for the trajectory tracking control of the real nonlinear system, which confirms the compatibility of the proposed method in real applications.</div></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":"16 7","pages":"Article 103418"},"PeriodicalIF":6.0,"publicationDate":"2025-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143887188","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":"Mobile manipulation planning analysis of a novel leg-arm integration hexapod robot based on the center of mass kinematics theory","authors":"Yi Zheng , Sixian Rao , Jiapeng Gao , Jiong Kong","doi":"10.1016/j.asej.2025.103439","DOIUrl":"10.1016/j.asej.2025.103439","url":null,"abstract":"<div><div>This study introduces a hexapod robot with integrated leg-arm mechanisms for stable mobile manipulation through center of mass (COM) kinematics planning. The design features two transformable limbs achieving dual-arm manipulation while maintaining stability through coordinated four-leg compensation. Subsequently, a complete COM kinematics model is established, encompassing leg branches, leg-arm branches, and a full-body system, providing the theoretical basis for mobile manipulation planning. In addition, by leveraging the analysis of the (3 + 1) static gait characteristics to establish a planar COM trajectory and foot-end motion patterns, combined with the COM height definition and inverse COM kinematics implementation, precise leg motion control is achieved using an effective workspace trajectory to joint space trajectory mapping. Compared with conventional kinematic approaches, this method demonstrates superior walking stability and payload handling capability through systematic virtual prototype simulations and prototype experiments. This work advances legged robotics by solving simultaneous locomotion-manipulation challenges through whole-body COM regulation.</div></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":"16 7","pages":"Article 103439"},"PeriodicalIF":6.0,"publicationDate":"2025-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143878978","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}