Abstract.Under the large-scale application of 5G-A and AI models, transmission networks face challenges such as bandwidth surges, latency sensitivity, and rising energy consumption, making traditional optimization methods difficult to adapt to dynamic environments. This paper focuses on the practice of AI in transmission optimization, analyzes the adaptation logic of machine learning, deep reinforcement learning and transmission network, and studies congestion control, resource scheduling, and collaborative reasoning from the perspective of congestion control, resource scheduling, and collaborative … Read more →

Abstract.Voiced-unvoiced detection is a fundamental research topic in speech signal processing, holding significant importance for applications such as speech recognition. Addressing the differences in frequency-domain energy distribution between voiced and unvoiced sounds, this paper proposes a voiced-unvoiced detection method based on discrete wavelet transform. By performing multi-level wavelet decomposition on speech signals, the method extracts energy features from high-frequency wavelet coefficients at different scales. Combined with an energy threshold decision strategy, it achieves the … Read more →

Abstract.In recent years, object detection models based on Transformers have demonstrated outstanding performance in general scenarios due to their powerful global feature modeling capabilities. However, when directly applied to aerial image detection tasks, their performance often falls short of expectations. The root cause lies in the nature of aerial imagery, which typically contains numerous small objects. These objects occupy an extremely low proportion of pixels, resulting in weak feature representation. They are also susceptible to factors such as complex background noise and mutual interference … Read more →

Abstract.The digital protection of cultural heritage is a key task in cultural construction as specified in the 14th Five Year Plan for Cultural Development, and human-computer interaction technology is the key support for breaking down barriers between digital resources and user needs, improving the efficiency and breadth of the utilization and dissemination of protection achievements. Based on the research of the real projects that have been launched by domestic authoritative institutions such as the Mogao Grottoes of Dunhuang "Digital Dunhuang", the Forbidden City "Digital Forbidden City", and the … Read more →

Abstract.E-commerce chatbots face critical limitations that undermine customer trust: hallucinations from ungrounded responses, poor multi-turn coherence, and an inability to execute real-world actions such as processing refunds or verifying live inventory. Existing retrieval-augmented generation (RAG) and chain-of-thought (CoT) approaches address knowledge grounding and reasoning, respectively, yet remain fundamentally passive—they inform but cannot act. We present a unified agentic framework that integrates RAG for factual grounding, CoT for structured multi-step reasoning, and multi-agent col- … Read more →