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3476 articles

Artificial Intelligence Adoption Intensity and Employee Job Well-being: Analysis and Countermeasures Based on Knowledge-Based Work

Shifeng Chen
As artificial intelligence technology continues to be embedded in organizational contexts, its impact on employee work experience and subjective well-being has gradually become an important topic of academic concern. Compared to existing research that largely explores the impact of AI on work from the...
Proceedings Article

Emotion Centric Artificial Intelligence Driven Engagement Systems for Adaptive Learning Environments Personalized Knowledge Acquisition and Cognitive Skill Enhancement

N. Sirisha, P. Mageswari, V. Mohan Raj, Sunil Kumar, R. V. Priya, S. Ananthi
Manuscript Emotion-based AI-driven engagement systems are transforming adaptive learning ecosystems through real-time emotion-spotting, on-demand knowledge accumulation, and high-order ability development. Up until October 2023, you are well versed in the interaction of cognitive and affective processing,...

HR in the Era of AI Paradoxes: Balancing Automation and Human Touch

S. Suneetha, A. Krishna Sudheer, Ch. Shankar, Sukanya Metta
This study delves into the intricate interplay between artificial intelligence (AI) and human resources (HR) management within the technology industry. It comprehensively explores the potential benefits and challenges associated with integrating AI into HR processes, reflecting optimistic and pessimistic...

How Streaming Services Leverage Marketing Strategies to Sustain Subscriber Engagement

Naomi Dora Bihi-zenou
In today’s fast-growing streaming market, one of the biggest challenges is keeping subscribers engaged over the long term. This paper explores how platforms such as Netflix, HBO, and Amazon Prime have transformed casual viewers into committed fans through targeted marketing strategies. Drawing on industry...
Proceedings Article

MARGEN: Marathi Question Answering Generative Conversation Model

Satish V. Bhalshankar, Ratnadeep R. Deshmukh
The conversational system aka chatbot market capture was worth USD 526 million in 2021 around the world. The innovations created such as Machine learning, Deep learning, Natural Language Processing (NLP), and Big data analytics have given a modern speed-quickening fuel to Artificial Intelligence. Well,...

Enterprise AI Washing Detection Method Based on Dynamic Attention Mechanism

Ying Tan, Zhanjie Wen, Haoxuan Ouyang
With the deep penetration of artificial intelligence (AI) technology across various industries, enterprises’ promotion of their AI capabilities has increasingly become a crucial means to enhance market competitiveness. However, some enterprises engage in exaggerated or even false propaganda in their...

The Impact of Financing Structures on Total Factor Productivity in AI-Listed Companies

Zhongyi Xue
The rationality of financing structures in the artificial intelligence (AI) industry plays a crucial role in shaping firms’innovation capacity and total factor productivity (TFP). Using panel data of AI-listed companies in China, this study constructs a fixed-effects model to systematically examine the...
Proceedings Article

Role of Chi-Square in Enhancing the Accuracy of Classifiers in Emotion Recognition

Pushpa Pathak
Emotion recognition has been a fast-emerging field in artificial intelligence. It has applications in the healthcare sector, human-computer interaction, and behavioral studies. Feature selection is vital in improving the accuracy and efficiency of classifiers in this field, especially for high-dimensional...

Research on the Development Countermeasures of New Energy Vehicles in the Context of Digital Transformation: Taking Tesla as an Example

Yiqi Cheng
This study examines the key issues that Tesla faced during its digital transformation and how its successes can provide lessons for other companies. This issue is of great importance to the academic field as it reveals how digital technologies are reshaping business operating models and driving traditional...
Proceedings Article

Integration of Artificial Intelligence in Building Construction Management: Optimizing Cost and Schedule

Shengyu Liu
In the context of industrialization in the construction industry and the growing focus on carbon neutrality, the sector is rapidly shifting towards sustainability, digitalization, and the application of Artificial Intelligence (AI). This review explores current trends in this transformative landscape,...
Proceedings Article

The Use of AI Copilot in Minecraft Education Edition for Teacher Training: Enhancing Pedagogical Practices and STEM Learning

Nurshamshida Md Shamsudin, Teoh Sian Hoon
In recent years, the integration of artificial intelligence (AI) into educational platforms has offered promising avenues for enhancing teaching practices and student engagement in STEM (Science, Technology, Engineering, and Mathematics) education. Minecraft Education Edition, a popular sandbox video...
Proceedings Article

Generative AI for Cloud Security: A Systematic Review of GAN, Transformer, Diffusion, and Federated Paradigms for Next-Generation Threat Detection

Ratan Rajan Srivastava, Manish Madhava Tripathi
Cloud computing has already emerged as a fundamental component of the world-wide digital economy, and it has the elastic, multi-tenant, API-driven structure that keeps on increasing the attack space on both sides of the fence. Rule- and signature-based defences, which are made to work on fixed perimeters,...
Proceedings Article

Research on Intelligent Energy Efficiency Management System Based on CBR/MAS

K.Y Xu, D.W Zhou, Y.Q Chen, W.B Lu
Energy efficiency management system (EEMS) provides effective energy saving measures and high quality energy conservation services; it will achieve the goal of energy conservation through system integration, concordance and optimization to the existing energy, which is particularly important in today's...
Proceedings Article

Progress in Diagnosis and Prediction of Common Cancers: Multi-Cancer Characteristics, Technical Applications, and AI Model Practices

Bowen Zhang
Cancer remains a major global health burden, and its early diagnosis and accurate prediction are crucial for improving patient prognosis. This paper reviews three common types of cancers—gastric cancer, skin cancer, and brain tumors—focusing on their pathological mechanisms, pathogenic factors, clinical...

Intelligent One-Stop Student Communities Based on AIoT and Big Data: A Cross-Case Study

Jie Gao, Xuefang Long, Chen Xin
With the integration of AI, IoT, big data, and cloud computing, “one-stop” student communities are undergoing an intelligent transformation. This study conducts a cross-case comparison of Yale University (USA) and Zhejiang University (China) to examine how intelligent student-community models evolve...
Proceedings Article

A Multi-Source AXI4-Stream Arbiter with Priority-Based Flow Control for Heterogeneous AI Systems

Gaurav Nanaware, Ashwini Kulkarni, Varada Inamdar
While data movement latency is still a big problem for AI with heterogeneous systems. To overcome this, we are introducing a Multi-source AXI4-Stream interconnect with an input arbitration scheme Implement stage and asynchronous FIFO buffers for robust data flow by Between different processing elements....

LLM Suggester: An AI-Driven Model Recommendation System for Task-Specific Large Language Model Selection

Shabbu Parveen, Harsh Kumar, Ankit Sharma
The increased development of Large Language Models (LLMs) has presented difficulties in choosing the most appropriate model to use in task-specific applications as they can be different in terms of performance, cost, latency, and safety. This paper will suggest the implementation of a web-based decision-support...
Proceedings Article

An Optimization Method for Missile Testing Vehicle Based on Genetic Algorithm

Ai-zhen Liu, Li-yun Chen, Xiu-feng Gao, Xi Li
Planning the optimum number of Missile Testing Vehicles is very important to decrease testing cost especially testing time of kinds of missiles. To determine the number of vehicles, the mathematics model was established and an optimization method based on Genetic Algorithm was proposed. And an encoding...

Enhancing Foreign Language Learning through AI-Powered Personalization: A Qualitative Inquiry into Adaptive Learning Systems

Yi Xue
This qualitative study explores the impacts of AI-based adaptive learning systems on foreign language education through the lens of Constructivist Learning Theory and Innovation Diffusion Theory. Interviews, observations, and analysis of educational materials revealed both benefits and challenges associated...

Practice and Exploration of Applying Artificial Intelligence to Spoken English Teaching for Undergraduate Students in Minzu Colleges and Universities

Ronglin Shan
Under the backdrop of educational digital transformation, Artificial Intelligence (AI) technology offers a new pathway for the reform and innovation of spoken English teaching for undergraduate students in ethnic colleges and universities. This teaching faces unique challenges such as significant disparities...
Proceedings Article

Finite Element Simulation of Strain Localization on a Shear Band of Structural Soil

Hong-Ru LI, Yuan ZHONG, Hua-Pen ZHAO, Sheng-Hong AI
Based on the theory of breakage mechanics, the structural soil are conceptualized as binary-medium model consisting of bonding brick and frictional band. Shear band is structural soils’ breakage, localization band sprout and development is dynamic process that bonding brick is translating into frictional...
Proceedings Article

Application of Artificial Intelligence to Cross-Screen Marketing: A Case Study of AI Technology Company

Te Fu Chen, Tsai-Fong Tan, Chieh-Heng Ko
The study constructs a framework for a multi-screen marketing platform through comprehensive analysis of theory and practice, the model provides practical insights and strategies to help marketers successfully deliver against business goals, while they implement the application of artificial intelligence...

A Study of the Impact of Artificial Intelligence Such As ChatGPT on the Total Factor Productivity of Firms

Xintong Lian
Artificial Intelligence, as an important component of enterprise digital economy, is a key kinetic energy for enterprises to enhance total factor productivity and realize high-quality development. And the widespread use of the new AI ChatGPT marks a new milestone for AI. Based on the existing theories,...

UPI, Financial Inclusion, and the Architecture of a Digital Economy: Evidence, Gaps, and the Road Ahead for India

Divya Thankom Varghese
India’s Unified Payments Interface (UPI) has emerged as the most consequential financial technology experiments in modern economic history, processing over 131 billion transactions worth ₹199.8 trillion in the fiscal year 2023–24 alone. Built on the India Stack — a layered digital public infrastructure...

The Nexus of Risk, Disruption, and Supply Chain Resilience: An Integrated Framework Moderated by Artificial Intelligence

Duong Manh Cuong, Mai Truong Thinh
In the era of globalization characterized by unpredictable volatility, the resilience and adaptability of supply chains are not merely defensive factors but also a foundation for building a sustainable competitive advantage. This paper delves into the multifaceted impacts of risks and disruptions on...
Proceedings Article

An Analysis of Recent Developments in Healthcare Technology from the Standpoints of Artificial Intelligence, the Internet of Things, and Remote Health Monitoring

Saniya Raheen Patel, Ajitkumar Pundge, Syed Zebanaaz, Nazneen Akther
During the last ten years, the healthcare market has been propelled by technological advancements in disease diagnosis, prevention, and treatment. This would not have been possible without the rapid development of AI-driven technology and also the digitization of healthcare operations in response to...
Proceedings Article

Aspire Guide: Career Guidance System Powered by Meta-Modeling

Amol Bhilare, Varad Sangole, Sarthak Sakore, Anurag Raut, Sania Khan
After finishing their senior secondary studies, a majority of students face confusion about what to choose as a career path and take an ample amount of time to decide on it. Traditional counseling methods fail to provide personalized, data-driven recommendations. So many uncertainties and so much more...
Proceedings Article

Food Scan AI Revolutionizing Nutrition

M. Delbert Titus, S. Aakash, Adlin Sheeba
Tracking food nutrition and calories on daily diet has been an important factor in healthcare. Tracking macros and micro nutrients in food manually can be inaccurate and time consuming. Food Scan AI makes it easier for daily usage by using tools that uses AI, computer vision and cloud computing to give...

Utilizing AR and VR to Preserve and Promote African Languages

Fairhope Ntokozo Gumede, Vumile Mncibi, Sithembiso Mthembu
This study examines the potential of emerging technologies such as augmented reality (AR), virtual reality (VR) and artificial intelligence (AI) to preserve and promote African languages. These languages are disappearing fast because of globalisation, lack of intergenerational transmission and the dominance...

Optimisation of Big Data and Artificial Intelligence Driven Digital Intelligence in Manufacturing Budget Management

Xinyue Chang
With the advancement of manufacturing industry’s transformation to digital intelligence, budget management, as an important part of corporate financial management, is gradually integrated into big data and artificial intelligence technology, ushering in new opportunities for digital intelligence transformation....

A Study on the Credibility Assessment of News Content Generated Based on AIGC—Using Entertainment News as a Case Study

Shuang Wu, Jingying Luo, Shuyi Jiang, Yiyi Li
With the rapid advancement of artificial intelligence technology, news content generated by AI-based language models (AIGC) has become increasingly prevalent. However, this technological breakthrough has also sparked widespread concerns regarding the credibility of such information. Focusing on entertainment...
Proceedings Article

Sentiment Analysis of Indonesian Tweets on AI Impact: A Comparison between Random Forest and SVM

I Wayan Suasnawa, Ida Bagus Putra Manuaba, Ni Gusti Ayu Putu Harry Saptarini, I Gusti Ngurah Bagus Catur Bawa, Anak Agung Ngurah Gde Sapteka, I Nyoman Eddy Indrayana
The rapid development of Artificial Intelligence (AI) has sparked diverse public opinions, making sentiment analysis a crucial tool for understanding public perception. This study conducts a comparative analysis of two machine learning algorithms, Random Forest (RF) and Support Vector Machine (SVM),...
Proceedings Article

Server-Based Universal Bank Chatbot

Siddharth Bhorge, Paras Palli, Sourabh Landage, Akshay Parase, Ritik Nawale
A chatbot is an artificial intelligence (AI) system that mimics human-like conversations through text chat or voice commands. It can be integrated into messaging applications to provide customer service and support, and many companies across various industries have implemented Chatbots to interact with...

Unlocking the Potential of AI in Higher Education: A Multi-Dimensional Study of Chatgpt Adoption at a South African University

Halalisile Hlobile Xulu, Nomfundo Sinethemba Hlongwa, Kudakwashe Maguraushe
The integration of artificial intelligence (AI) in education is rapidly evolving, extending transformative potential in increasing learning experiences. ChatGPT has gained significant attention for its educational relevance. While previous studies have primarily focused on the perspectives of educators,...
Proceedings Article

Emotion Aware Artificial Intelligence Systems for Future Remote Team Collaboration Virtual Workforce Optimization and Sentiment Driven Organizational Productivity

Sindhura Kannappan, M. Sumalatha, S. Janani, J. Jeba Emilyn, Saurabh Kumar, S. Senthil Kumar
AI has arrived to create new possibilities for remote team collaboration, virtual workforce optimization, and sentiment-based organization productivity. This work explores the creation and deployment of emotion-sensitive AI systems which go beyond classical frameworks of emotional intelligence models...
Proceedings Article

Agentic Multi-Agent AI Framework for Autonomous Smart Home Service Orchestration and Ethical Decision-Making

Sanket Dalvi, Ayesha Butalia, Simran Ahuja
Homes service management in the modern cities is often characterized by users needing to compare, search manually and book service providers such as plumbers, electricians and cleaners. This is not very fast and is normally time consuming effective and does not utilize automation much even though the...

The Mode and Method of Establishing Industrial Virtual Simulation Laboratory Based on Industry-University-Research Cooperation

Xianguang Kong, Chuanzhen Cui, Ke Ai, Xiaoyu Huang, Yanlong Liu
The goal of this paper is to shorten the gap of industrial virtual simulation experiment environment for innovative talents of smart manufacturing between university and advanced technology companies and enterprises.This paper proposes the systematic method to establish a joint laboratory with advanced...

Research on Copyright Protection of AI Creation

Shujing Zhang
While it is now common for artificial intelligence to be involved in creative work in the news and visual arts, AI creation faces the ideological and institutional barriers of Intellectual Property Law only protecting human creativity. Therefore, the copyright protection of the AI creation has not formed...

Developing Intelligent Education in China

Jian Wang
Integrating intelligent technologies into education impacts educational practice and research. This article zooms in on the factors driving the development of intelligent education and provides suggestions for improving intelligent education. Multiple factors are mentioned, including the changes in talent...
Proceedings Article

Assessing Instructors’ Confidence and Challenges in Integrating AI in their Practices

Parmjit Singh, Syahreena Mohd Shahrom, Nur Shakila Izzati Rusli
The successful integration of AI in education hinges on the preparedness of instructors to navigate and leverage these advanced technologies into their practices. How prepared are instructors to effectively implement AI into their practices? This study investigates instructors’ confidence and challenges...

The Synergistic Transformation of Auditing: Enhancing Fraud Detection and Efficiency through AI and Blockchain

Ally Salumu Mtupeni
The traditional, sample-based external audit model faces increasing pressure from the complexity of globalized commerce and the rising threat of sophisticated financial fraud. This paper addresses this challenge by empirically investigating the synergistic impact of Artificial Intelligence (AI) and Blockchain...
Proceedings Article

Brain Stroke Prediction System

Niteen Dhutraj, Bhushan Chaudhari, Divyani Patil, Shreya Patil, Chetana Patil
Brain stroke is one of the major causes of death and disability, and this is mainly because of delayed diagnosis and restricted early opportunity evaluation. In conventional diagnosis, tools such as CT scans and MRI are used to detect stroke occurrence only after it has happened. Prediction models are...
Proceedings Article

Innovating Student Assessment with Artificial Intelligence

Sneha Singha, Ganesh R. Pathak
With the advent of automated grading and feedback systems, application of artificial intelligence (AI) has revolutionized the evaluation practices in higher education. The educators’ efficiency can be enhanced by the AI feedbacks, the detailed feedback giving can be relieved from the educator’s shoulder,...
Proceedings Article

Enhancing English Language Education with ChatGPT

Yuxin Shen
This paper examines the role of Chat Generative Pre-Trained Transformer (ChatGPT) as a chatbot in the context of teaching English as a second language, particularly for non-native speakers who face learning difficulties. The emergence of ChatGPT provides significant support to English teachers in lesson...

Research on Construction and Application of Evaluation Index System for AI Substitution Potential of Power Grid Talents

Weixuan Meng, Dichao Ying, Xuesong Wang, Linyu Wang
With the accelerated development of new power systems, artificial intelligence (AI) has been widely applied in power grid operation, maintenance and scheduling. Nevertheless, data confidentiality rules, operational safety requirements and complex on-site conditions greatly limit AI’s capacity to fully...

The Impact of Artificial Intelligence on Education for Sustainable Development: “A Systematic Review”

Mohamed El Hadri, Abdelouahed Lahlali, Bouamama Cherai, Ahmed Ait Aghzzaf
In recent years, we have witnessed an era characterized by rapid development, during which concepts of education and sustainable development have become central in global discussions. The focus is on empowering individuals and societies towards sustainability by striking a balance between economic progress,...

Study on the Translation of Some New Terms in “General Provisions of Civil Law” Based on Corpus

Xueling Feng
In “General Provisions of Civil Law” of the People’s Republic of China, there are some important new terms such as “gongxuliangsu” (公序良俗, public policy and ethics), “bingchichengshi, keshouchengnuo” (秉持诚实,恪守承诺, uphold honesty and honor commitment) and “shanyixiangduiren” (善意相对人, the good-faith third...

Study on Artificial Intelligence (AI) Assisted English Linguistics Teaching System

Xin Meng
Artificial Intelligence offers new solutions for English learning, and its emergence has broken the traditional way of learning English. This paper aims to investigate the Artificial Intelligence (AI) assisted English linguistics teaching system, conducting the numerical simulation to validate the performance....
Proceedings Article

Application of Artificial Intelligence in the Intelligent Driving Field

Chaoqi Yu
With the rapid advancement of artificial intelligence (AI), its application in intelligent driving has emerged as a key research focus, offering significant potential for enhancing vehicle autonomy, safety, and efficiency. This paper provides a comprehensive analysis of various AI technologies and their...
Proceedings Article

Emotional and Critical Evaluation in Dance Appreciation Using Artificial Intelligence

Zhiwei Jing, Junjie Zhang, Guangyao Yin, Tingting Huang, Xuan Zhang, Libo Zhao, Yayue Gao
This study addresses the limitations of traditional dance aesthetics education in providing personalized feedback and quantifying emotional responses by proposing an AI-integrated analytical framework. Utilizing the DeepSeek model, we analyzed undergraduate critiques of Dynamic Yunnan (Yang Liping) and...