this paper summarizes the development of software evolution technology. Based on the fundamental concepts of software evolution, we deeply analyzed the motivation and evolution process of the on-orbit evolution for ae...
详细信息
Pre-trained code models have achieved promising results in the vulnerability detection field. the prevailing approach is to adapt these models with vulnerability datasets using inefficient full-model fine-tuning. thes...
详细信息
the development of computers and information technologies has made it possible to use various programs in the education process that facilitate the acquisition of knowledge. One of these software programs is GeoGebra,...
详细信息
Since the end of 2019, the Corona Virus Disease 2019 (COVID-19) has spread rapidly around the world and the novel coronavirus pneumonia has become an infectious disease that poses a threat to global health. Rapid and ...
详细信息
Homomorphic encryption is a technique that allows computations with encrypted data without revealing the data or requiring decryption. this technique has many potential applications in artificial intelligence (AI), wh...
详细信息
As one of the most common social behavior in human society, communication in multi-turn conversation or dialogue system has always been a research focuses of natural language processing (NLP). the quality of downstrea...
详细信息
Context and Motivation: Rapid advancements in Artificial Intelligence (AI) have significantly influenced requirements engineering (RE) practices. Problem: While many recent secondary studies have explored AI's rol...
详细信息
ISBN:
(纸本)9783031573262;9783031573279
Context and Motivation: Rapid advancements in Artificial Intelligence (AI) have significantly influenced requirements engineering (RE) practices. Problem: While many recent secondary studies have explored AI's role in RE, a thorough understanding of the use of AI for RE (AI4RE) and its inherent challenges remains in its early stages. Principal Ideas: To fill this knowledge gap, we conducted a tertiary review on understanding how AI assists RE practices. Contribution: We analyzed 28 secondary studies from 2017 to September 2023 about using AI in RE tasks such as elicitation, classification, analysis, specification, management, and tracing. Our study reveals a trend of combining natural language process techniques with machine learning models like Latent Dirichlet Allocation (LDA) and Naive Bayes, and a surge in using large language models (LLMs) for RE. the study also identified challenges of AI4RE related to ambiguity, language, data, algorithm, and evaluation. the study gives topics for future research, particularly for researchers who want to start new research in this field.
this study proposes a novel fully differential operational transconductance amplifier (FD-OTA) based on fully differential inverters. To reduce power consumption and improve performance at low voltages, the proposed a...
详细信息
the extensive application of smart contract technology in the blockchain domain has positioned it as a key component of the digital economy. However, as the application scope of smart contracts expands, security issue...
详细信息
作者：
Vanamadi, RaviKar, Asutosh
Department of Electronics and Communication Engineering Chennai600127 India
this paper analysed the convex combination of adaptive filtering algorithms for single microphone and speaker hearing aid systems to cancel the acoustic feedback signal. the traditional hearing aid system is considere...
详细信息
暂无评论