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 >

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

Ahmed Alhussen¹, Arshiya Sajid Ansari^2,*, Mohammad Sajid Mohammadi³

CMC-Computers, Materials & Continua, Vol.82, No.2, pp. 2909-2929, 2025, DOI:10.32604/cmc.2024.059382 - 17 February 2025

Abstract Voice, motion, and mimicry are naturalistic control modalities that have replaced text or display-driven control in human-computer communication (HCC). Specifically, the vocals contain a lot of knowledge, revealing details about the speaker’s goals and desires, as well as their internal condition. Certain vocal characteristics reveal the speaker’s mood, intention, and motivation, while word study assists the speaker’s demand to be understood. Voice emotion recognition has become an essential component of modern HCC networks. Integrating findings from the various disciplines involved in identifying vocal emotions is also challenging. Many sound analysis techniques were developed in the… More >

Soyoung Joo^#, So-Hyun Park^#, Hye-Yeon Shim, Ye-Sol Oh, Il-Gu Lee^*

CMC-Computers, Materials & Continua, Vol.82, No.2, pp. 2475-2494, 2025, DOI:10.32604/cmc.2025.058963 - 17 February 2025

Abstract As the density of wireless networks increases globally, the vulnerability of overlapped dense wireless communications to interference by hidden nodes and denial-of-service (DoS) attacks is becoming more apparent. There exists a gap in research on the detection and response to attacks on Medium Access Control (MAC) mechanisms themselves, which would lead to service outages between nodes. Classifying exploitation and deceptive jamming attacks on control mechanisms is particularly challengingdue to their resemblance to normal heavy communication patterns. Accordingly, this paper proposes a machine learning-based selective attack mitigation model that detects DoS attacks on wireless networks by More >

Miloš Sedak^*, Maja Rosić, Božidar Rosić

CMES-Computer Modeling in Engineering & Sciences, Vol.142, No.2, pp. 2111-2145, 2025, DOI:10.32604/cmes.2025.059319 - 27 January 2025

Abstract This paper introduces a hybrid multi-objective optimization algorithm, designated HMODESFO, which amalgamates the exploratory prowess of Differential Evolution (DE) with the rapid convergence attributes of the Sailfish Optimization (SFO) algorithm. The primary objective is to address multi-objective optimization challenges within mechanical engineering, with a specific emphasis on planetary gearbox optimization. The algorithm is equipped with the ability to dynamically select the optimal mutation operator, contingent upon an adaptive normalized population spacing parameter. The efficacy of HMODESFO has been substantiated through rigorous validation against established industry benchmarks, including a suite of Zitzler-Deb-Thiele (ZDT) and Zeb-Thiele-Laumanns-Zitzler (DTLZ) More >