Hao Chen¹, Tong Xu¹, Yutian Huang², Dabo Xin^1,*, Changting Zhong^1,3,*

CMES-Computer Modeling in Engineering & Sciences, Vol.146, No.1, 2026, DOI:10.32604/cmes.2026.075792 - 29 January 2026

Abstract Optimization problems are prevalent in various fields of science and engineering, with several real-world applications characterized by high dimensionality and complex search landscapes. Starfish optimization algorithm (SFOA) is a recently optimizer inspired by swarm intelligence, which is effective for numerical optimization, but it may encounter premature and local convergence for complex optimization problems. To address these challenges, this paper proposes the multi-strategy enhanced crested porcupine-starfish optimization algorithm (MCPSFOA). The core innovation of MCPSFOA lies in employing a hybrid strategy to improve SFOA, which integrates the exploratory mechanisms of SFOA with the diverse search capacity of… More >

Shengkang Zhang¹, Yong Jin^2,*, Soon Poh Yap^1,*, Haoyun Fan¹, Shiyuan Li³, Ahmed El-Shafie⁴, Zainah Ibrahim¹, Amr El-Dieb⁵

CMES-Computer Modeling in Engineering & Sciences, Vol.146, No.1, 2026, DOI:10.32604/cmes.2025.075351 - 29 January 2026

Abstract Concrete-filled steel tubes (CFST) are widely utilized in civil engineering due to their superior load-bearing capacity, ductility, and seismic resistance. However, existing design codes, such as AISC and Eurocode 4, tend to be excessively conservative as they fail to account for the composite action between the steel tube and the concrete core. To address this limitation, this study proposes a hybrid model that integrates XGBoost with the Pied Kingfisher Optimizer (PKO), a nature-inspired algorithm, to enhance the accuracy of shear strength prediction for CFST columns. Additionally, quantile regression is employed to construct prediction intervals for… More >

Yuqiang Wu^1,2, Zhao Ji¹, Guanqi You¹, Zihan Zhang¹, Chaoping Lu³, Huanliang Xu¹, Zhaoyu Zhai^1,*

CMC-Computers, Materials & Continua, Vol.86, No.2, pp. 1-22, 2026, DOI:10.32604/cmc.2025.070414 - 09 December 2025

Abstract Understanding fish movement trajectories in aquaculture is essential for practical applications, such as disease warning, feeding optimization, and breeding management. These trajectories reveal key information about the fish’s behavior, health, and environmental adaptability. However, when multi-object tracking (MOT) algorithms are applied to the high-density aquaculture environment, occlusion and overlapping among fish may result in missed detections, false detections, and identity switching problems, which limit the tracking accuracy. To address these issues, this paper proposes FishTracker, a MOT algorithm, by utilizing a Tracking-by-Detection framework. First, the neck part of the YOLOv8 model is enhanced by introducing… More >

Song Xu^1,2,3,4,5,*, Mengxin Lu^1,2,3,4,5, Zhonghua Yang^1,2,3,4,5, Hang Zheng^1,2,3,4,5

Canadian Journal of Urology, Vol.32, No.6, pp. 579-588, 2025, DOI:10.32604/cju.2025.063069 - 30 December 2025

Abstract Background: Many studies have evaluated the performance of fluorescence in situ hybridization (FISH) in detecting urothelial carcinoma, while few of them compared it in detecting bladder cancer (BC) vs. upper tract urothelial carcinoma (UTUC). This study aimed to determine and compare the FISH performance in detecting BC and UTUC. Methods: Data of patients with suspected urothelial carcinoma (UC) who accepted FISH from January 2021 to April 2023 were retrieved. The sensitivity and specificity of FISH in detecting BC and UTUC were determined and compared. Results: A total of 145 BC, 62 UTUC, and 170 non-UC patients were… More >

Fei Li¹, Yuansen Liu¹, Yongliang Yu^1,2,*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.33, No.2, pp. 1-1, 2025, DOI:10.32604/icces.2025.011601

Abstract The dorsal and anal fins play crucial roles in aquatic propulsion, serving as auxiliary structures that enhance fish mobility. This study investigates the functional contributions of these fins during zebrafish C-turn maneuvers through computational simulations. We reconstructed the three-dimensional morphology of zebrafish based on experimental data, with particular attention to dorsal and anal fin modeling. Using the open-source immersed boundary method code IBAMR, we simulated self-propelled C-turn motions to elucidate the fins' impact on turning performance. Comparative analysis of C-turns with varying rotational amplitudes revealed that dorsal and anal fins effectively suppress boundary layer diffusion… More >

Hui Xu, Wei Huang^*, Longtan Bai

CMC-Computers, Materials & Continua, Vol.84, No.2, pp. 3053-3073, 2025, DOI:10.32604/cmc.2025.064930 - 03 July 2025

Abstract With the birth of Software-Defined Networking (SDN), integration of both SDN and traditional architectures becomes the development trend of computer networks. Network intrusion detection faces challenges in dealing with complex attacks in SDN environments, thus to address the network security issues from the viewpoint of Artificial Intelligence (AI), this paper introduces the Crayfish Optimization Algorithm (COA) to the field of intrusion detection for both SDN and traditional network architectures, and based on the characteristics of the original COA, an Improved Crayfish Optimization Algorithm (ICOA) is proposed by integrating strategies of elite reverse learning, Levy flight,… More >

Yuanzhuo Wang, Honghua Dai^*

CMES-Computer Modeling in Engineering & Sciences, Vol.143, No.2, pp. 1463-1484, 2025, DOI:10.32604/cmes.2025.064416 - 30 May 2025

Abstract To establish the optimal reference trajectory for a near-space vehicle under free terminal time, a time-optimal model predictive static programming method is proposed with adaptive fish swarm optimization. First, the model predictive static programming method is developed by incorporating neighboring terms and trust region, enabling rapid generation of precise optimal solutions. Next, an adaptive fish swarm optimization technique is employed to identify a sub-optimal solution, while a momentum gradient descent method with learning rate decay ensures the convergence to the global optimal solution. To validate the feasibility and accuracy of the proposed method, a near-space More >

Junzhe Zhang¹, Lei Tang^1,*, Xin Zhou²

CMC-Computers, Materials & Continua, Vol.83, No.2, pp. 2643-2658, 2025, DOI:10.32604/cmc.2025.061690 - 16 April 2025

Abstract Fisheye cameras offer a significantly larger field of view compared to conventional cameras, making them valuable tools in the field of computer vision. However, their unique optical characteristics often lead to image distortions, which pose challenges for object detection tasks. To address this issue, we propose Yolo-CaSKA (Yolo with Contrastive Learning and Selective Kernel Attention), a novel training method that enhances object detection on fisheye camera images. The standard image and the corresponding distorted fisheye image pairs are used as positive samples, and the rest of the image pairs are used as negative samples, which More >

Tatiana Volova^1,2, Natalia Zhila^1,2,*, Kristina Sapozhnikova^1,2, Olga Menshikova^1,2, Evgeniy Kiselev^1,2, Alexey Sukovatyi^1,2, Vladimir Volkov³, Ivan Peterson⁴, Natalia Ipatova^1,2, Ekaterina Shishatskaya^1,2

Journal of Renewable Materials, Vol.13, No.3, pp. 413-432, 2025, DOI:10.32604/jrm.2024.058775 - 20 March 2025

Abstract The article presents the results of a study on the possibility of synthesizing biodegradable poly(3-hydroxybutyrate-co-4-hydroxybutyrate) [P(3HB-co-4HB)] from renewable waste fish oil (WFO) by the Cupriavidus necator B-10646 bacterium. For the first time, waste oil generated during the processing of Sprattus balticus in the production of sprats was used as the main carbon substrate for the synthesis of P(3HB-co-4HB), and ε-caprolactone was used as a precursor instead of the more expensive γ-butyrolactone. Samples of P(3HB-co-4HB) with a 4HB monomer content from 7.4 to 11.6 mol.% were synthesized, and values of the bacterial biomass yield and the total yield of the… More > Graphic Abstract

See Cheng Lee¹, Han Lyn Foong¹, Nur Hanani Z. A.^1,2,*

Journal of Renewable Materials, Vol.13, No.3, pp. 433-447, 2025, DOI:10.32604/jrm.2024.02024-0006 - 20 March 2025

Abstract Fish gelatin films have emerged as eco-friendly packaging materials due to their biodegradability and excellent film-forming properties. This study investigated the effects of varying homogenization rates (0, 6500, 9500, 13,500, 17,500, and 21,500 rpm) on the functional and structural properties of fish gelatin films enriched with cinnamon essential oil (CEO). Homogenization reduced droplet sizes and narrowed droplet size distributions in the film-forming emulsion (FFE). At a homogenization rate of 9500 rpm, the films exhibited excellent mechanical extensibility, reduced surface irregularities, and enhanced smoothness. The highest (p < 0.05) tensile strength and elongation at break were observed… More > Graphic Abstract