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In recent years, artificial intelligence technology has made great breakthroughs. Big data, cloud computing, voice recognition and deep learning have become new concerns in the eyes of the public following the Internet and the Internet of Things. Driven by relevant information and communication technologies,...

This paper aims to explore the opportunities and challenges of AI technology in College English teaching. Firstly, this article explores the development and evolution of English teaching in Chinese universities in the wake of the 21st century, and the important role played by artificial intelligence...

In recent years, the active attempts and breakthrough progress of artificial intelligence (AI) in university music education have been amazing. In this regard, the purpose of this paper is to study the optimization of university music education models under the background of AI. this paper first describes...

To demonstrate the applicability and feasibility of AI technology in nuclear fields in China, a fuzzy controller to control the reactor power of China Advanced Research Reactor (CARR) is designed in this paper. The fuzzy controller uses Mamdani inference system based 2 inputs-power difference and power...

Artificial intelligence (AI) has gradually become an important factor in enhancing the core competitiveness of a country. This paper is based on the data of 40 AI companies from 2018 to 2020 as samples, and conducts an empirical research on the impact of research and development (R&D) investment...

The application of artificial intelligence plus the Internet of things has become the next big trend in the technology industry, due to the development of A-IoT chips and related industries. Several applications such as the smart speaker and smart cars began to thrive, the future 10 years is considered...

Artificial Intelligence is a mechanical discipline that has now become inseparable in the modern era. AI has made automation possible in different applications ranging from remote controls to autonomous vehicles, so that complicated sequences of tasks can now become feasible. This project discusses quick...

Dynamic timetable scheduling an important topic in the context of modern systems and needs suitable and efficient solution which are efficient flexible and privacy preserving in multiple environments. In this paper, we introduce a novel multi-agent systems and federated learning-based framework, and...

The rapid growth of technology has highlighted the increasing need for strong problem-solving abilities and algorithmic thinking in both academic and professional settings. As a result, competitive programming, coding challenges, and hackathons have become invaluable tools for developing and assessing...

This paper designs a new intelligent system for watering flowers based on internet of things (IOT), which is suitable for indoor, balcony and courtyard, etc. When the flowers are neglected in long-term, intelligent device for watering flowers can do the watering operation timely and quantitatively. This...

Traditional note-taking methods lack flexibility and fail to address modern users’ dynamic needs. This paper presents an AI-driven interactive note-taking platform that leverages Gemini AI for intelligent content generation and Mermaid for visualizations. The platform supports multi-format inputs such...

This research explored on how AI-based customer insights affect SI in Bangladeshi service organizations with the mediating role of KM. The study is based on the KBV and examines the effect of organizational capabilities, DAC, EC, ITI, and LS, on SI. Through purposive sampling, a quantitative method was...

The integration of artificial intelligence (AI) into educational tools is essential for familiarizing students with AI technology, its benefits, and applications. This study centers on the development, performance evaluation, and feasibility assessment of an Image-Based Sorting Machine as a Training...

This paper proposes a new SynFlood attack target location method based on the Abnormal TCP Connection Graph (ATCG). The method build an Abnormal TCP Connection Graph based on the status of TCP connections. Then the method calculates the Abnormal Source Number (ASN) and Attack Intensity (AI). If such...

AI’s transformative impact on government can be seen in the way that different agencies automate repetitive tasks, sift through vast amounts of data, or communicate with citizens at scale. Within U. S. public administration, AI is most prevalent in-service delivery, decision support and program operations,...

This study aims to investigate the perceptions, preferences, and decision-making processes of a group of Chinese university students regarding feedback provided by generative artificial intelligence (DeepSeek) versus human instructor in the context of IELTS Writing Task 1. As the application of generative...

The increasing reliance on Supervisory Control and Data Acquisition (SCADA) structures for handling important infrastructure makes them prone to cyber-assaults, posing significant dangers to operational security. To deal with this, a sophisticated Intrusion Prevention System (IPS) the use of Artificial...

Vehicular Ad Hoc Networks (VANET) support real-time vehicle-to-vehicle and vehicle-to-infrastructure communication, but DDoS attacks have a significant effect on network availability, resulting in high packet loss and interference with emergency systems. Although ML-based Intrusion Detection Systems...

This paper provided a review on the spatial-temporal, migration, transformation of Pb and their law in Jiaozhou Bay based on investigation of Pb in surface and waters in different seasons during 1979-1983. The vertical transferring processes of Pb and mechanism, spatial-temporal migration law of Pb and...

Traffic informationization is an important carrier and means to realize intelligent transportation, and also a key factor to promote the strategy of a powerful nation in transportation. According to the content and characteristics of the evaluation on the development of transportation informatization,...

The financial situation and financial demand have many uncertainty factors. Therefore, innovative enterprises need to clear their own financial risk profile and scientifically evaluate the risk status of affairs. From two aspects of financial indicators and non-financial indicators of risk,It set up...

in architectural decoration process, pressure-bearing capacity test is the foundation of design, and is very important. To this end, a pressure-bearing capacity test method in architectural decoration design is proposed based on improved genetic algorithm. The selection, crossover and mutation operators...

In this datacentric world, almost all organizations produce prodigious amount of information that will be useful for artificial intelligence- based analytics. But, sharing sensitive data across all the organizations introduces challenges in privacy, security, and trust. This manuscript proposes a Federated...

Color perceived performance was influenced by various color appearance phenomena caused by varying viewing conditions in color reproduction process. It is necessary to do some research on the color appearance phenomena to represent the color appearance models qualitatively and quantitatively and accurate...

This qualitative study explores student teachers’ perceptions of lesson plans generated by human beings versus those created by ChatGPT, an artificial intelligence (AI) language model. All the 25 participants were asked to complete the questionnaire at first; and among them, 5 students were specifically...

Airborne Electronic Equipment data is unmeasurable, and computing the parameter based on component model is inaccurate and is time costing. The paper presents airborne electronic equipment parameter estimate method based on clustering by fast search and find of density peaks (CFSFDP) and ant colony optimization...

Artificial intelligence, as the engine of new quality productivity, is also a strategic technology to lead the future green development. In this paper, panel data of 30 provinces in China from 2013 to 2022 are selected, the development level of logistics industry in each province is measured by using...

Monarch butterfly optimization (MBO) algorithm is a newly-developed metaheuristic approach that has shown striking performance on several benchmark problems. In order to enhance the performance of MBO, many scholars proposed various strategies for benchmark evaluation and practical applications. As an...

In recent years, the landscape of higher education has undergone significant transformation due to advancements in knowledge, technology, and globalization. In the context of developing countries, there have been rapid expansions of interdisciplinary programs at higher education levels, with a growing...

Regional economic integration is the trend of the development of the market economy, as one of the most active economic region in China even all over the world, and Beijing-Tianjin-Hebei region has great development potential. Giving full play to the industrial advantage, realizing the coordinated development...

It is essential to classify brain MRI scans as soon as feasible in order to diagnose brain tumours. There are numerous diagnostic imaging modalities that can be used to identify brain tumours. MRI's high-quality picture production makes it a popular choice for this application. The development of...

The equitable distribution of government support including agricultural subsidies, disaster relief, educational scholarships, and elderly allowances remains a critical challenge in resource-constrained environments. This paper proposes a scalable, data-driven framework that integrates Machine Learning...

This study investigates the spatial and cultural implications of integrating Shared Autonomous Vehicles (SAVs) into Suzhou’s old town, with a focus on user perceptions and adaptive mechanisms. Through in depth semi-structured interviews with ten residents and affinity diagram analysis, the research identifies...

Lately, with technology being advanced continuously and new economic forms emerging, the penetration of Artificial Intelligence (AI) in the gig economy has been deepening increasingly. Algorithmic decision-making is profoundly changing the operational logic of the gig economy. Existing research indicates...

Artificial Intelligence (AI) has made advances in its ability to mimic and surpass human problem solving and decision-making abilities. As AI technology advances, the public begins to use AI products for their own personal decision-making. However, AI products may encounter the problem of humans’ fondness...

Artificial intelligence (AI) and AI-related products have permeated global markets. Despite this, prior research has produced inconsistent findings regarding consumers’ attitudes toward AI. This paper posits that the perceived loss of control among consumers can explain these mixed responses. Specifically,...

This study aims to investigate the application of artificial intelligence (AI) to creative projects. AI-assisted creative projects can be of assistance to a wide range of industries, including small businesses. In most cases, the first step for small businesses is to concentrate on the products that...

The recruitment industry is evolving rapidly with the integration of artificial intelligence (AI) to streamline hiring processes. This paper presents an AI-Based Talent Management System that enhances recruitment and candidate matching by leveraging machine learning, natural language processing (NLP),...

Finding the correct customer purchase prediction and crossapplicable segmentations will improve personalization and ultimately grow revenue within e-commerce. Current and traditional machine learning paradigms struggle to recognize the behavior of people as a non-linear and complex phenomenon that lacks...

Nowadays, the establishment of general music education course in colleges and universities is an indispensable important teaching link in higher education. The general music education is also growing vigorously in Chinese colleges and universities. But because of its special nature, a more comprehensive...

As an emerging language technology, the application of Artificial Intelligence (AI) Large Language Model (LLM) in translation tasks has an important background. Based on a large number of experimental data, this paper compared traditional machine translation and Google translate, and evaluated the performance...

Contemporarily, artificial intelligence (AI) has been widely adopted in business practices. Amazon, as one of the leaders in this field, has applied such technology into the camera surveillance to monitor its delivery drivers. Although it brings about numerous benefits including but not limited to transportation...

Massive amounts of data are created and collected by data acquisition systems, including SCADA and embedded systems in industrial machines. The data may be analysed by AI algorithms to gain a better understanding of the process and identify any irregularities in the machines. This is a major benefit...

Kedensari Village has the potential as a center for leather crafts in Sidoarjo. The craftsmen in Kedensari Village are members of a cooperative organization called the Bag and Suitcase Industry Cooperative (INTAKO). Based on the results of interviews and field observations, it is known that the average...

With the rapid development of Artificial Intelligence (AI) technology, the education field is undergoing a paradigm shift from the traditional accumulation of “human capital” to the dominance of “algorithmic capital”. In the wave of digital transformation, the education system is facing structural changes...

Communication barriers between the Deaf and hard-of-hearing (DHH) community and the hearing population in Bangladesh persist due to the lack of automated Bengali Sign Language (BdSL) translation tools. This study proposes BdSL-Net, a real-time BdSL recognition framework based on computer vision and deep...

In the face of intense debates regarding AI painting copyright infringement, this study argues that AI painting should be considered a distinct art form that should be regulated separately from collage works because only the small-memory trained algorithm advanced to the algorithm creative stage, while...

This essay researches the question: What is the effect of involution with robotic machine interference in the workplace? Since 2019, involution in the Chinese workplace was recognized as a serious social problem. At the same time, the rapid population growth and technological development in China exposed...

The Indian English accent has posed tremendous challenges to both veteran and novice simultaneous interpreters. This paper probes into students’ utilization of social media with AI-driven recommendations in their effort to get familiar with the Indian English accent and the impact of such a practice...

In the post-pandemic era, social isolation and aging have intensified, triggering explosive growth in global emotional needs and propelling the emotional economy to become a new growth pole. Artificial Intelligence (AI) has entered the emotional economy domain with technologies like emotional recognition...