The impact of digital transformation on organizational structure and decision-making processes by Dabetić Arsenije

“…The aim of the research is to determine how technological innovations, such as cloud computing, artificial intelligence, and data analytics, are changing traditional management and organizational models. …”
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Development of Personas and Journey Maps for Artificial Intelligence Agents Supporting the Use of Health Big Data: Human-Centered Design Approach by Yoon Heui Lee, Hanna Choi, Soo-Kyoung Lee

“…Three types of personas and journey maps—health care professionals as big data analysis beginners, health care professionals who have experience in big data analytics, and non–health care professionals who are experts in big data analytics—were derived. …”
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Real-Time Analytics and AI for Managing No-Show Appointments in Primary Health Care in the United Arab Emirates: Before-and-After Study by Yousif Mohamed AlSerkal, Naseem Mohamed Ibrahim, Aisha Suhail Alsereidi, Mubaraka Ibrahim, Sudheer Kurakula, Sadaf Ahsan Naqvi, Yasir Khan, Neema Preman Oottumadathil

“…These findings illustrate the transformative potential of AI and real-time data analytics in health care delivery.…”
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Requirements and special considerations for drug trials with children across six jurisdictions: 2. Ethics review in the regulatory approval process by Breanne Stewart, Pirkko Lepola, Gunter F. Egger, Fahimeda Ali, Albert J. Allen, Albert J. Allen, Alysha K. Croker, Andrew J. Davidson, Pamela Dicks, Saul N. Faust, Saul N. Faust, Dionna Green, Collin Hovinga, Collin Hovinga, Agnes V. Klein, Robyn Langham, Hidefumi Nakamura, Laura Pioppo, Shiva Ramroop, Michiyo Sakiyama, Isabel Sanchez Vigil de la Villa, Junko Sato, Donna L. Snyder, Mark A. Turner, Mark A. Turner, Sarah Zaidi, Kanecia Zimmerman, Kanecia Zimmerman, Thierry Lacaze-Masmonteil

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QALYs: The Math Doesn’t Work by Tia G. Sawhney, Angela Dobes, Sirimon O'Charoen

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The Impact of the Corona Pandemic on Retail in Inner Cities by Henry Goecke, Christian Rusche

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An Introduction to the Teaching Reform of Data Science Courses in the Context of Big Data by Shang Du, Su Shuai

“…The goal of this curriculum overhaul is to foster an integration of modern statistical techniques with big data analytics, balancing theoretical knowledge with hands-on experience. …”
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LEVERAGING COMPETITIVE INTELLIGENCE PROCESSES IN SHIPPING INDUSTRY OPERATIONS AND STRATEGY by Anastasios-Nikolaos KANELLOPOULOS

“…Key themes include the integration of CI technology, such as Business Intelligence (BI) tools and data analytics, to optimize decision-making processes and enhance service quality in a dynamic global market. …”
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Future directions: what LIES ahead for smart biochemical wearables in health monitoring? by S. Kharb

“…Personalized insights for enhancing their functionality are possible by integrating them with AI and big data analytics for early disease detection and proactive health management. …”
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Revolutionizing cross-border e-commerce: A deep dive into AI and big data-driven innovations for the straw hat industry. by Junjie Dai, Xiaoyan Mao, Pengyue Wu, Huijie Zhou, Lei Cao

“…This paper investigates the impact of artificial intelligence (AI) and big data analytics on optimizing cross-border e-commerce efficiency for straw hat manufacturers in Zhejiang Province, China. …”
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Lung cancer Prediction and Classification based on Correlation Selection method Using Machine Learning Techniques by Dakhaz Mustafa Abdullah, Adnan Mohsin Abdulazeez, Amira Bibo Sallow

“…The computing sector is fully automating it, and the medical industry is also automating itself with the aid of image recognition and data analytics. This paper endeavors to inspect accuracy ratio of three classifiers which is Support Vector Machine (SVM), K-Nearest Neighbor (KNN)and, Convolutional Neural Network (CNN) that classify lung cancer in early stage so that many lives can be saving. …”
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Research and implementation of multi-protocol association scheme on Uu interface in LTE-Advanced network by Lei LI, Zhizhong ZHANG, Bing XI

“…For the explosive growth of mobile data services in LTE-Advanced network and the low efficiency of multi-protocol association analysis process，on the basis of traditional signal monitoring system，a multi-protocol association analysis system of Uu interface in LTE-Advanced network was proposed by using big data technology （storage，processing and analysis）and multi-protocol association analysis technology.Firstly，Layer 1，Layer 2 and Layer 3 of Uu interface data business processes were processed efficiently and analyzed accurately.Then，the user data signaling process and service data flow were related to analyze.Finally，the proposed system was applied to the real network testing of Uu interface data in LTE-Advanced network.Test results show that the multi-protocol association analysis system described above achieves the expected effect and it is meaningful for improving user experiences，efficiently processing big data analytics and the promotion of precision marketing area.…”
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Key technology of power big data for global real-time analysis by Guoliang ZHOU, Linjie LV, Guilan WANG

“…The problems of big data safety and reliability，equipment life-cycle management and energy real-time balance scheduling were analyzed and discussed，system analysis precision and accuracy based on large-scale real-time multi-source detail data and global data of equipment would be improved，then application of in-memory computing，real-time streaming data processing technology，massively parallel computing technology and column stores were explored；a layered architecture of power big data analytics platform which combined with the mainstream open source big data processing technology was proposed to provide guarantees for the efficient operation of the power system.…”
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Trajectory big data:data,applications and techniques by Jia-jie XU, Kai ZHENG, Ming-min CHI, Yang-yong ZHU, Xiao-hui YU, Xiao-fang ZHOU

“…,and tremendous efforts have been made to support effective trajectory data management,including trajectory data pre-processing,which handles issues such as high redundancy,low precision and inconsistency of sampling; trajectory database technologies,concerning the efficient and effective storage of trajectory data and query processing; trajectory data warehousing,which supports the analytics on large-scale trajectory data;knowledge discovery,by which useful patterns can be extracted from trajectory data.A survey of trajectory big data analytics from three different aspects:data,applications and techniques is provided.…”
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Statistical Validity of Neural-Net Benchmarks by Alain Hadges, Srikar Bellur

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Gender equality and quality of life must be central to the design and delivery of sanitation by Sera L Young, Oliver Cumming, Ian Ross, Richard Johnston, Blessing Mberu, Sheela S Sinharoy, Bethany A Caruso, Kelly T Alexander, Tom Slaymaker, Sheillah Simiyu, Claire Chase, Jenala Chipungu, Phylis Busienei, Isha Ray, Akanksha A Marphatia, Meriel Flint O'Kane, Ana Carolina Argolo Nascimento de Castro, Ginette Azcona, Patience Esi Boni-Morkla, Salome A Bukachi, Anju Dwivedi, Indira Khurana, Antoinette Kome, Wanjiku Kuria, James Labadia, Fungai Makoni, Sujoy Mojumdar, Janet Mule, Lydia Namatende Sakwa, Naomi Njeri, Fernanda Abreu Oliveira de Souza, Lauren Pandolfelli, Petunia Ramunenyiwa, Malini Reddy, Pritum Kumar Saha, Utkarsh Sinha, Emmanuel Uguru, Kara Uhl

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The contributions of foreign aid and natural resource wealth to democratic institutions: Evidence from over 40 years of sub-Sahara Africa's history by Alex O. Acheampong, John Taden

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Healthcare Utilization, Costs of Care, and Mortality Among Patients With Spinal Muscular Atrophy by Hiangkiat Tan, Tao Gu, Er Chen, Rajeshwari Punekar, Perry B. Shieh

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Multiple Machine Learning Algorithms-based NBA Team Playoffs Prediction by Yeung Manho

“…With the rapid development of data analytics in sports, it is vital to use machine learning methods to make decisions and predictions. …”
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