Abstract.In recent years, the YOLO (You Only Look Once) series has remained a mainstream framework in object detection, continuously driving the balance between lightweight design and high accuracy. This paper focuses on two pivotal versions—YOLOv10 and YOLO11—and provides a systematic comparison and analysis in terms of architectural design, core modules, performance characteristics, and application scenarios. YOLOv10 introduces a unified end-to-end architecture that eliminates anchors and post-processing steps, thereby simplifying the detection pipeline and significantly improving deployment … Read more →

Abstract.This research first introduces the basic concepts and development history of software-defined radio. Secondly, it specifically describes several structures of software-defined radio technology and makes detailed comparisons. Meanwhile, it expounds several key technologies of software-defined radio technology. Thirdly, it discusses several commonly used hardware platforms of software-defined radio and the matching software platforms, and analyzes the advantages and disadvantages of each platform in detail. Finally, the application scenarios of software-defined radio technology were analyzed. Read more →

Abstract.This study proposes a personalized Mandarin pronunciation learning framework for Tibetan learners that integrates Mask‑GCT voice‑cloning technology as a back‑end data‑augmentation module. By leveraging deep neural networks, the voice‑cloning component reconstructs key speaker characteristics—timbre, intonation, and prosody—from limited samples, generating high‑fidelity, individualized speech data. These synthetic samples not only alleviate labeled‑data scarcity but also introduce diverse pronunciation scenarios, particularly modeling the tonal, vowel, and consonant errors characteristic of … Read more →

Abstract.In order to provide the automotive industry with an accurate and reliable engineering method for calculating automobile brand assets, this paper first establishes various indicators for calculating brand assets. Secondly, based on the theoretical methods of fuzzy mathematics, it constructs object sets and factor sets, sets basic weights using the enforced method, utilizes fuzzy relations to determine the comprehensive calculation set, and ultimately employs dynamic simulation and simulation techniques to calculate the comprehensive scores of fuzzy relations. Experiments demonstrate that this … Read more →

Abstract.As a sustainable development model to coordinate ecological restoration and fishery proliferation, marine pasture has become the frontier field of global marine science in recent years under the background of the decline of offshore resources. It constructs a complex ecosystem through key technologies such as habitat building and biological domestication, and achieves the dual goals of efficient development of fishery resources and enhancement of marine carbon sink capacity. In this paper, 480 documents in WoS database are visually analyzed by bibliometrics method, and the research status and … Read more →

Abstract.Histopathologic image analysis is a critical component in cancer diagnosis, yet traditional manual inspection methods are often time-consuming, subjective, and error-prone. This study presents a fully automated deep learning framework for the classification of histopathologic images stained with Hematoxylin and Eosin (H&E). Leveraging Convolutional Neural Networks (CNNs), particularly DenseNet and ResNet architectures, the proposed system integrates essential components such as data preprocessing, augmentation, hyperparameter optimization, and training automation using the fastai library. … Read more →