Zeinel Momynkulov^1,2, Azhar Tursynova^1,2,*, Olzhas Olzhayev^1,2, Akhanseri Ikramov^1,2, Sayat Ibrayev¹, Batyrkhan Omarov^1,2,3,*

CMES-Computer Modeling in Engineering & Sciences, Vol.145, No.1, pp. 891-918, 2025, DOI:10.32604/cmes.2025.068615 - 30 October 2025

Abstract Robotic manipulators increasingly operate in complex three-dimensional workspaces where accuracy and strict limits on position, velocity, and acceleration must be satisfied. Conventional geometric planners emphasize path smoothness but often ignore dynamic feasibility, motivating control-aware trajectory generation. This study presents a novel model predictive control (MPC) framework for three-dimensional trajectory planning of robotic manipulators that integrates second-order dynamic modeling and multi-objective parameter optimization. Unlike conventional interpolation techniques such as cubic splines, B-splines, and linear interpolation, which neglect physical constraints and system dynamics, the proposed method generates dynamically feasible trajectories by directly optimizing over acceleration inputs while… More >

Mubeen Sabir¹, Zeshan Aslam Khan^2,*, Muhammad Waqar², Khizer Mehmood¹, Muhammad Junaid Ali Asif Raja³, Naveed Ishtiaq Chaudhary⁴, Khalid Mehmood Cheema⁵, Muhammad Asif Zahoor Raja⁴, Muhammad Farhan Khan⁶, Syed Sohail Ahmed⁷

CMES-Computer Modeling in Engineering & Sciences, Vol.145, No.1, pp. 807-855, 2025, DOI:10.32604/cmes.2025.068131 - 30 October 2025

Abstract Fingerprint classification is a biometric method for crime prevention. For the successful completion of various tasks, such as official attendance, banking transactions, and membership requirements, fingerprint classification methods require improvement in terms of accuracy, speed, and the interpretability of non-linear demographic features. Researchers have introduced several CNN-based fingerprint classification models with improved accuracy, but these models often lack effective feature extraction mechanisms and complex multineural architectures. In addition, existing literature primarily focuses on gender classification rather than accurately, efficiently, and confidently classifying hands and fingers through the interpretability of prominent features. This research seeks to… More >

Başak Müftüoğlu, Sevinç Başay^*

Phyton-International Journal of Experimental Botany, Vol.94, No.10, pp. 3217-3229, 2025, DOI:10.32604/phyton.2025.071755 - 29 October 2025

Abstract Water scarcity is an escalating global challenge that severely threatens productivity and reproductive success in crops, particularly in drought-sensitive species such as Capsicum annuum L. Although deficit irrigation strategies are widely recommended to enhance water use efficiency, knowledge remains limited regarding their interactions with soil amendments such as biochar and the consequent impacts on reproductive traits. This study aimed to evaluate the combined effects of deficit irrigation strategies and biochar application on pollen viability and morphology in Capsicum annuum. The experiment was conducted under full, partial, and deficit irrigation regimes with and without biochar treatment, following a… More >

Fida Hussain^1,*, Farooq Khan², Javed Ahmad¹, Heqiang Huo³, Tao Jiang³, Iqrar Rana⁴, Sajida Habib⁵, Muhammad Umer Farooq^1,*

Phyton-International Journal of Experimental Botany, Vol.94, No.10, pp. 3231-3249, 2025, DOI:10.32604/phyton.2025.069654 - 29 October 2025

Abstract The analysis of combining ability and heterosis is very important in enhancing the yield and oil quality of sunflowers under adverse conditions, and it reveals the potential of the parents and the mechanism of gene action. In this study, twenty-one hybrids were developed by crossing seven cytoplasmic male sterile (CMS) lines with three restorer lines and evaluated for agronomic and quality traits. Highly significant general combining ability (GCA) and specific combining ability (SCA) effects were observed, confirming the role of both additive and non-additive gene actions. Among the tested crosses, A-42 × R-86, A-92 ×… More >

Shuaimei Lian, Pingping Liu, Wenling Liao^*

Frontiers in Heat and Mass Transfer, Vol.23, No.5, pp. 1395-1415, 2025, DOI:10.32604/fhmt.2025.069454 - 31 October 2025

Abstract In this work, numerical simulations are performed to investigate the influence of combining ribs and triangular cavities on the thermal-hydraulic performance (THP) of MCHS at fluid velocities ranging from 1 to 4 m/s (corresponding to Reynolds numbers (Re) of 129.75 to 519). Specifically, the ribs are positioned on the bottom wall, and the rib width is equal to the mini-channel width, while the triangular cavities are arranged on the two side walls of the MCHS. By analyzing and comparing key parameters such as velocity distribution, streamline patterns, pressure drop, skin friction coefficient (C_f), Nusselt number (Nu), friction… More >

Banan Najim Abdullah¹, Karam Hashim Mohammed¹, Ammar Hassan Soheel¹, Bashar Mahmood Ali², Omar Rafae Alomar^1,*

Frontiers in Heat and Mass Transfer, Vol.23, No.5, pp. 1681-1700, 2025, DOI:10.32604/fhmt.2025.066814 - 31 October 2025

Abstract The current work aims to numerically investigate the impact of using (50% ZnO and 50% Al₂O₃) hybrid nanofluid (HNf) on the performance of convective heat transfer inside a horizontal wavy micro-channel. This issue represents a novel approach that has not been extensively covered in previous research and provides more valuable insights into the performance of HNfs in complex flow geometries. The conjugate heat transfer approach is used to demonstrate the influence of adding hybrid nanoparticles (50% Al₂O₃ and 50% ZnO) to pure water on the rate of heat transfer. The governing equations are numerically solved by… More >

Mir Majid Etghani¹, Homayoun Boodaghi^2,*

Energy Engineering, Vol.122, No.11, pp. 4385-4474, 2025, DOI:10.32604/ee.2025.070668 - 27 October 2025

Abstract Energy system optimization has become crucial for enhancing efficiency and environmental sustainability. This comprehensive review examines the synergistic application of Artificial Neural Networks (ANN) and Taguchi methods in optimizing diverse energy systems. While previous reviews have focused on these methods separately, this paper presents the first integrated analysis of both approaches across multiple energy applications. We systematically analyze their implementation in: Internal combustion engines, Thermal energy storage systems, Solar energy systems, Wind and tidal turbines, Heat exchangers, and hybrid energy systems. Our findings reveal that ANN models consistently achieve prediction accuracies exceeding 90% when compared More > Graphic Abstract

Jing Li¹, Yinghua Xie¹, Guoxing Wu¹, Ming Xiao¹, Guoteng Wang², Keheng Lou², Ying Huang^2,*

Energy Engineering, Vol.122, No.11, pp. 4475-4495, 2025, DOI:10.32604/ee.2025.068711 - 27 October 2025

Abstract With the accelerating urbanization process, the load demand of urban power grids is constantly increasing, giving rise to a batch of ultra-large urban power grids featuring large electricity demand, dense load distribution, and tight construction land constraints. This paper establishes a network planning method for urban power grids based on series reactors and MMC-MTEDC, focusing on four aspects: short-circuit current suppression, accommodation of external power supply, flexible inter-regional power support, and voltage stability enhancement in load centers. It proposes key indicators including node short-circuit current margin, line thermal stability margin, maximum fault-induced regional power loss,… More >

Fengjuan Ding¹, Lu Suo², Tengjiao Hong^1,3,*, Fulong Dong¹, Dong Huang¹

CMC-Computers, Materials & Continua, Vol.85, No.3, pp. 4551-4570, 2025, DOI:10.32604/cmc.2025.069565 - 23 October 2025

Abstract The complex phenomena that occur during the plastic deformation process of aluminum alloys, such as strain rate hardening, dynamic recovery, recrystallization, and damage evolution, can significantly affect the properties of these alloys and limit their applications. Therefore, studying the high-temperature flow stress characteristics of these materials and developing accurate constitutive models has significant scientific research value. In this study, quasi-static tensile tests were conducted on 5754 aluminum alloy using an electronic testing machine combined with a high-temperature environmental chamber to explore its plastic flow behavior under main deformation parameters (such as deformation temperatures, strain rates,… More >

Siliang Chen¹, Dongri Shan^2,*, Yansheng Niu³

CMC-Computers, Materials & Continua, Vol.85, No.3, pp. 5263-5286, 2025, DOI:10.32604/cmc.2025.067892 - 23 October 2025

Abstract With the increasing deployment of Unmanned Aerial Vehicle-Hangar (UAV-H) clusters in dynamic environments such as disaster response and precision agriculture, existing networking schemes often struggle with adaptability to complex scenarios, while traditional Vertical Handoff (VHO) algorithms fail to fully address the unique challenges of UAV-H systems, including high-speed mobility and limited computational resources. To bridge this gap, this paper proposes a heterogeneous network architecture integrating 5th Generation Mobile Communication Technology (5G) cellular networks and self-organizing mesh networks for UAV-H clusters, accompanied by a novel VHO algorithm. The proposed algorithm leverages Multi-Attribute Decision-Making (MADM) theory combined… More >