Pengcheng Gao^*, Zhenjiang Li

CMC-Computers, Materials & Continua, Vol.82, No.3, pp. 4555-4572, 2025, DOI:10.32604/cmc.2025.060873 - 06 March 2025

Abstract The application of deep learning for target detection in aerial images captured by Unmanned Aerial Vehicles (UAV) has emerged as a prominent research focus. Due to the considerable distance between UAVs and the photographed objects, coupled with complex shooting environments, existing models often struggle to achieve accurate real-time target detection. In this paper, a You Only Look Once v8 (YOLOv8) model is modified from four aspects: the detection head, the up-sampling module, the feature extraction module, and the parameter optimization of positive sample screening, and the YOLO-S3DT model is proposed to improve the performance of More >

Nan Pan^1,*, Yi Liu², Dilin Pan², Junbing Qian¹, Gang Li³

Intelligent Automation & Soft Computing, Vol.40, pp. 145-145, 2025, DOI:10.32604/iasc.2025.062707 - 29 January 2025

Abstract This article has no abstract. More >

Rivky Afanda¹, Ahmad Zaki^1,2,*

Structural Durability & Health Monitoring, Vol.19, No.2, pp. 265-284, 2025, DOI:10.32604/sdhm.2024.053084 - 15 January 2025

Abstract Concrete is one of the most important elements in building construction. However, concrete used in construction is susceptible to damage due to corrosion. The influence of corrosive substances causes changes in the reinforcing steel and affects the strength of the structure. The repair method is one approach to overcome this problem. This research aims to determine the effect of grouting and jacketing repairs on corroded concrete. The concrete used has dimensions of 15 cm × 15 cm × 60 cm with planned corrosion variations of 50%, 60%, and 70%. The test objects were tested using… More >

Dayong Wang^1,*, Kamalrulnizam Bin Abu Bakar¹, Babangida Isyaku², Liping Lei³

CMC-Computers, Materials & Continua, Vol.81, No.3, pp. 4465-4483, 2024, DOI:10.32604/cmc.2024.059616 - 19 December 2024

Abstract In recent years, task offloading and its scheduling optimization have emerged as widely discussed and significant topics. The multi-objective optimization problems inherent in this domain, particularly those related to resource allocation, have been extensively investigated. However, existing studies predominantly focus on matching suitable computational resources for task offloading requests, often overlooking the optimization of the task data transmission process. This inefficiency in data transmission leads to delays in the arrival of task data at computational nodes within the edge network, resulting in increased service times due to elevated network transmission latencies and idle computational resources.… More >

Djordje P. Božović^1,2, Anja Rimac³, Milorad M. Vujičić^1,4, Pragya Singh⁵, Michal Goga⁵, Mingai Li^2,6, Claudio Varotto^2,6, Aneta D. Sabovljević^1,4, Marko S. Sabovljević^1,4,5,*

Phyton-International Journal of Experimental Botany, Vol.93, No.11, pp. 2949-2961, 2024, DOI:10.32604/phyton.2024.057995 - 30 November 2024

Abstract Physcomitrium eurystomum Sendtn. is a very rare European ephemeral funaroid moss. The entire European population of this species is considered threatened and it is red-listed in many regions and countries. In addition to being recognized as threatened and included in nature conservation legislation, it also requires active protection measures. This study aims to contribute to effective conservation practices for P. eurystomum. Different conservation physiology tests were carried out to propagate this species to achieve a reliable procedure for biomass production and the potential reintroduction of germplasm. Ex situ tests, both in vitro and ex vitro, were carried out to determine… More >

Qiuxia Fan^1,*, Jianyu Li¹, Xinqi Zhang¹

The International Conference on Computational & Experimental Engineering and Sciences, Vol.31, No.1, pp. 1-1, 2024, DOI:10.32604/icces.2024.012048

Abstract In this paper, a series of smoothed finite element methods for the electromagnetic field distribution of non-contact LVDT are proposed. Firstly, the problem domain is discretized into a set of four-node tetrahedral elements, and the linear shape function is used to interpolate the domain variables. Then, the smooth region is further constructed by combining the nodes, edges and surfaces of the unit. Gradient smoothing technique is used to smooth the magnetic vector potential and scalar potential on each smooth domain. Based on the generalized smooth Galerkin weak form, the discretization system expression is derived and More >

Farhad Mortezapour Shiri^*, Thinagaran Perumal, Norwati Mustapha, Raihani Mohamed

Journal on Artificial Intelligence, Vol.6, pp. 301-360, 2024, DOI:10.32604/jai.2024.054314 - 20 November 2024

Abstract Deep learning (DL) has emerged as a powerful subset of machine learning (ML) and artificial intelligence (AI), outperforming traditional ML methods, especially in handling unstructured and large datasets. Its impact spans across various domains, including speech recognition, healthcare, autonomous vehicles, cybersecurity, predictive analytics, and more. However, the complexity and dynamic nature of real-world problems present challenges in designing effective deep learning models. Consequently, several deep learning models have been developed to address different problems and applications. In this article, we conduct a comprehensive survey of various deep learning models, including Convolutional Neural Network (CNN), Recurrent… More >

Gajjala Savithri^1,2, N. Raghavendra Sai^1,*

CMC-Computers, Materials & Continua, Vol.81, No.2, pp. 2547-2569, 2024, DOI:10.32604/cmc.2024.055827 - 18 November 2024

Abstract In the world of wireless sensor networks (WSNs), optimizing performance and extending network lifetime are critical goals. In this paper, we propose a new model called DTLR-Net (Deep Temporal LSTM Regression Network) that employs long-short-term memory and is effective for long-term dependencies. Mobile sinks can move in arbitrary patterns, so the model employs long short-term memory (LSTM) networks to handle such movements. The parameters were initialized iteratively, and each node updated its position, mobility level, and other important metrics at each turn, with key measurements including active or inactive node ratio, energy consumption per cycle,… More >

SAM SON¹, AKSHAAR BRAHMBHATT¹, KEN ZHAO¹, BRETT MARINELLI¹, JAMES HARDING², WILLIAM JARNAGIN³, GHASSAN K. ABOU-ALFA², HOOMAN YARMOHAMMADI^1,*

Oncology Research, Vol.32, No.12, pp. 1831-1836, 2024, DOI:10.32604/or.2024.052985 - 13 November 2024

Abstract Background: This article aims to present the single-institution outcomes of patients with Fibrolamellar Carcinoma (FLC) treated with liver-directed therapies (LDT). Methods: In this single-center retrospective study, all patients diagnosed with FLC who underwent LDT were identified. Between July 2012 and July 2023, six patients were identified. One patient was excluded due to bleeding. Demographic and clinical parameters were recorded. Complications within 30 days of the LDT were evaluated. Radiological treatment responses at 1, 6, and 12 months were assessed per mRECIST. Results: A total of five patients, which included three females and two males, were reviewed.… More >

PINGHUA TU, SHANSHAN WANG, KELAN DENG, XINJUN LI, ZHANLING WU^*

BIOCELL, Vol.48, No.11, pp. 1603-1612, 2024, DOI:10.32604/biocell.2024.054364 - 07 November 2024

Abstract Objectives: The antitumor effects of pyropheophorbide-α methyl ester-mediated photodynamic therapy (MPPa-PDT) were observed in several cancers. The objective of this investigation was to examine the antineoplastic efficacy of MPPa-PDT acting on lung carcinoma A549 cells and further elaborate mechanisms. Methods: The viability of A549 cells was examined with cell counting kit-8 after MPPa-PDT disposal. Hoechst 33342 staining, monodansylcadaverine (MDC) staining, and transmission electron microscopy were employed to observe apoptotic bodies and autophagic vesicles. Flow cytometry with Annexin V/propidium iodide (PI) labeling objectively assessed cell death. The expression of associated proteins, including Caspase-3, Beclin-1, LC-3II, and More > Graphic Abstract