Construction of intelligent evolution network based on outbound call by Hua REN, Di YANG, Shaomin WANG

“…With the obvious improvement of various telecom business demands,the outbound call industry,which is the main channel for marketing,resolution and notification of telephone services under the traditional mode,is facing more and more pain points,including market,personnel,training,customer sentiment,cost,accurate data and people flow in all aspects.In order to realize the cost reduction and efficiency increase,inject wisdom and improve capability of telecom services,the main needs of the existing network outbound call system were combined with the application of artificial intelligence and big data technology in the field of outbound calls,aim to build intelligent and high efficiency.A discussion of the feasibility of the program was given based on the network construction involved in the efficiency of the ＆quot;smart outbound system＆quot;.…”
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Effectiveness Study of Artificial Intelligent Facility System in Maintaining Building Fire Safety (Case Study: Typical Public Building Cases of Fire-Fighting Facilities Management... by Weijie Xu, S. C. Chan, W. Y. Leong

“…Based on the analysis of the current situation and existing problems of the basic maintenance of fire-fighting facilities, this project analyzes the effect of the application of artificial intelligence technology in the management of fire-fighting facilities. …”
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Digital pathology and artificial intelligence in renal cell carcinoma focusing on feature extraction: a literature review by Ming-Yue Li, Yu Pan, Yang Lv, He Ma, Ping-Li Sun, Hong-Wen Gao

“…The integrated application of artificial intelligence (AI) and digital pathology (DP) technology has opened new avenues for advancements in oncology and molecular pathology. …”
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A Rectal Cancer Surgery Dataset: Use of artificial intelligence to aid automation of error identification by Walaa Ghamrawi, Nathan Curtis, Jialang Xu, Matt Boal, Evangelos Mazomenos, Eddie Edwards, Danail Stoyanov, Nader Francis

“…The evolving application of artificial intelligence techniques could assist intraoperative analysis. …”
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Detection of Adulteration of Ground Meat by Spectral-based Techniques and Artificial Intelligence (2020-2024) by Amir Kazemi, Asghar Mahmoudi, Mostafa Khojasteh Najand

“…Furthermore, the newest advances in the application of artificial intelligence accompanied by the mentioned techniques were also discussed.…”
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PENERAPAN ARTIFICIAL INTELLIGENCE (AI) DALAM PERAMALAN AKUNTANSI TINJAUAN LITERATUR DAN AGENDA PENELITIAN MASA DEPAN by Gilang Surya Pratama, Agus Munandar

“… This research examines recent developments in the application of Artificial Intelligence (AI) for accounting forecasting through a systematic review of literature published between 2020-2024. …”
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Practical application of large language models in educational informatics: specification, framework, and applications by XU Gang, LIU Zhipeng, FENG Qi, SHEN Fuke

“…This provided a reference for promoting the widespread application of artificial intelligence technology in the field of education.…”
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Challenges and opportunities of artificial intelligence in African health space by Muslim A. Alaran, Salim Kamaludeen Lawal, Mustapha Husseini Jiya, Salihu Alhassan Egya, Mohamed Mustaf Ahmed, Abdullateef Abdulsalam, Usman Abubakar Haruna, Muhammad Kabir Musa, Don Eliseo Lucero-Prisno

“…The application of artificial intelligence (AI) to healthcare in Africa has the potential to transform productivity, diagnosis, disease surveillance, and resource allocation by improving accuracy and efficiency. …”
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Lightweight malicious domain name detection model based on separable convolution by Luhui YANG, Huiwen BAI, Guangjie LIU, Yuewei DAI

“…The application of artificial intelligence in the detection of malicious domain names needs to consider both accuracy and calculation speed,which can make it closer to the actual application.Based on the above considerations,a lightweight malicious domain name detection model based on separable convolution was proposed.The model uses a separable convolution structure.It first applies depthwise convolution on every input channel,and then performs pointwise convolution on all output channels.This can effectively reduce the parameters of convolution process without impacting the effectiveness of convolution feature extraction,and realize faster convolution process while keeping high accuracy.To improve the detection accuracy considering the imbalance of the number and difficulty of positive and negative samples,a focal loss function was introduced in the training process of the model.The proposed algorithm was compared with three typical deep-learning-based detection models on a public data set.Experimental results denote that the proposed algorithm achieves detection accuracy close to the state-of-the-art model,and can significantly improve model inference speed on CPU.…”
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Prevention and Detection Research of Intelligent Sports Rehabilitation under the Background of Artificial Intelligence by Qiong Huang, Fubin Wang

“…In the field of sports rehabilitation, the application of artificial intelligence is becoming more and more in-depth. …”
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Handwriting Digital Image Generation based on GAN: A Comparative Study of Basic GAN and CGAN Models by Zeng Hongzhi

“…The vast application of artificial intelligence in numerous fields—image generation being one of them—has been made possible by the quick development of deep learning. …”
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Enhancing Rehabilitation Assessment with Artificial Intelligence: A Comprehensive Investigation of Posture Quality Prediction Using Machine Learning by Zhang Wenxi

“…This paper comprehensively reviews the application of Artificial Intelligence (AI) in rehabilitation exercise assessment, with a particular focus on posture quality prediction. …”
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Modified Particle Swarm Optimization on Feature Selection for Palm Leaf Disease Classification by Veri Julianto, Ahmad Rusadi Arrahimi, Oky Rahmanto, Mohammad Sofwat Aldi

“…This study explores the application of artificial intelligence, specifically computer vision and machine learning, for disease detection. …”
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Integration of Artificial Intelligence in Art Preservation and Exhibition Spaces by Pin-Chia Huang, I-Cheng Li, Ching-Yi Wang, Cheng-Hsiung Shih, Masimukku Srinivaas, Wan-Ting Yang, Chin-Fang Kao, Te-Jen Su

“…This study aims to explore the application of artificial intelligence (AI) technology in the preservation and exhibition of artworks, with the “Exhibition Environment Status Detection Device and System” and the “Automatic Exhibition Guide System”, developed by Cheng Shiu University, as case studies. …”
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Compressive Strength Evaluation of Fiber-Reinforced High-Strength Self-Compacting Concrete with Artificial Intelligence by Tu T. Nguyen, Hoa Pham Duy, Tung Pham Thanh, Hoang Hiep Vu

“…Finally, it can be concluded that the application of artificial intelligence shows the great potential in the prediction of compressive strength of FRHSSCC.…”
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Artificial Intelligence in Oncology by Krzysztof Jeziorski, Robert Olszewski

“…The largest application of artificial intelligence in oncology is in diagnostics (more than 80%), particularly in radiology and pathology. …”
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Review of optimal resource allocation scheme for 5G Internet of vehicles by Chengyu ZHENG, Yiting YAO, Hongbin LIANG, Lei WANG

“…As a necessary part of the development of intelligent transportation, the Internet of vehicles (IoV) accelerates the construction of intelligent transportation infrastructure in China, which plays an important practical significance to the construction of smart city.The number of vehicles and the massive data generated by them make the transmission conflict rate between communication vehicle nodes rise significantly, and communication resources and computing resources are in short supply.Therefore, the effective resource allocation scheme can ensure the communication quality of vehicle networking, thereby improving the reliability of vehicle communication and reducing the time delay.Firstly, the influence of IoV on the development status of intelligent transportation at home and abroad and the bottlenecks of the development of IoV were analyzed.Secondly, in terms of the efficiency and safety of smart transportation, the resource allocation problem of IoV was analyzed.Thirdly, by summarizing the advantages of 5G technology, the contribution of 5G in the optimization allocation and management of vehicle networking resources was analyzed.Finally, combined with the application of artificial intelligence technology in the context of Internet of vehicles communication, computing and storage resource optimization allocation and management, the development prospect of intelligent transportation based on 5G+V2X was proposed.…”
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Achieving On-Site Trustworthy AI Implementation in the Construction Industry: A Framework Across the AI Lifecycle by Lichao Yang, Gavin Allen, Zichao Zhang, Yifan Zhao

“…In recent years, the application of artificial intelligence (AI) technology in the construction industry has rapidly emerged, particularly in areas such as site monitoring and project management. …”
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Gauging the dynamic interlinkage among robotics, artificial intelligence, and green crypto investment: A quantile VAR approach by Le Thanh Ha

“…The development and application of artificial intelligence (AI) are essential for attracting this investment because it has the potential to increase the adoption of environmental innovation and individual environmental awareness. …”
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Tactical intent-driven autonomous air combat behavior generation method by Xingyu Wang, Zhen Yang, Shiyuan Chai, Jichuan Huang, Yupeng He, Deyun Zhou

“…Abstract With the rapid development and deep application of artificial intelligence, modern air combat is incrementally evolving towards intelligent combat. …”
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