Big Data Deep Learning: Challenges and Perspectives by Xue-Wen Chen, Xiaotong Lin

“…As the data keeps getting bigger, deep learning is coming to play a key role in providing big data predictive analytics solutions. In this paper, we provide a brief overview of deep learning, and highlight current research efforts and the challenges to big data, as well as the future trends.…”
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Investigation of a Novel Noninvasive Risk Analytics Algorithm With Laboratory Central Venous Oxygen Saturation Measurements in Critically Ill Pediatric Patients by Sarah A. Teele, MD, MSHPEd, Avihu Z. Gazit, MD, Craig Futterman, MD, William G. La Cava, PhD, David S. Cooper, MD, MPH, MBA, Steven M. Schwartz, MD, MS, Joshua W. Salvin, MD, MPH

“…OBJECTIVE:. The predictive analytics algorithm, inadequate delivery of oxygen (IDo2) index, was developed to noninvasively estimate the probability of a patient’s Svo2 to fall below a preselected threshold. …”
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Urban Vitality Measurement Through Big Data and Internet of Things Technologies by Young-Long Kim

“…This approach offers a more dynamic and comprehensive picture of urban vitality, facilitated by advanced analytical tools such as machine learning and predictive analytics, which can interpret complex datasets to offer real-time insights and better decision-making for urban planning. …”
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Exploring Artificial Intelligence for Enhanced Endodontic Practice: Applications, Challenges, and Future Directions by Santosh R. Patil, Mohmed Isaqali Karobari

“…The review methodology involves a critical analysis of existing literature, highlighting advancements in diagnostic imaging, predictive analytics, and procedural assistance. Key findings demonstrate that AI improves the precision of diagnostics, facilitates personalized treatment planning, and supports clinical decision-making, ultimately enhancing efficiency and patient care. …”
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The Impact of Artificial Intelligence on Healthcare: A Comprehensive Review of Advancements in Diagnostics, Treatment, and Operational Efficiency by Md. Faiyazuddin, Syed Jalal Q. Rahman, Gaurav Anand, Reyaz Kausar Siddiqui, Rachana Mehta, Mahalaqua Nazli Khatib, Shilpa Gaidhane, Quazi Syed Zahiruddin, Arif Hussain, Ranjit Sah

“…Core applications like remote monitoring and predictive analytics improve operational effectiveness and patient involvement. …”
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Determining university’s readiness to implement AI technologies for personalizing educational paths by V. S. Starostin, K. A. Arzhanova, D. V. Dolgopolov, A. D. Ditrikh

“…Methods of machine learning, predictive analytics, and modern generative neural networks allow to create recommendation services, with the help of which individual educational trajectories are formed by machine intelligence, simultaneously considering hundreds of parameters. …”
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Diabetes Risk Assessment: A Comparative Study of Decision Trees and Ensemble Learning Models by Lei Tianxing

“…The findings underscore the potential of these methods in enhancing diabetes management and offer a valuable contribution to the field of medical predictive analytics.…”
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Innovative Integration and Optimization of RE and Smart Energy Management Systems in Skyscrapers: Enhancing Sustainability and Energy Self-Sufficiency in Vertical Cities by Yan Bingzhuo

“…It also explores the role of Smart Energy Management Systems (SEMS) in optimizing energy use through real-time monitoring, predictive analytics, and automated control. Case studies like Masdar City and Shanghai Tower illustrate successful applications of these technologies. …”
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A Framework for Integrating Vision Transformers with Digital Twins in Industry 5.0 Context by Attila Kovari

“…Its main characteristics are anomaly detection, predictive analytics, and adaptive optimization, which are in line with the objectives of Industry 5.0 for sustainability, resilience, and personalization. …”
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Harnessing artificial intelligence and remote sensing in climate-smart agriculture: the current strategies needed for enhancing global food security by Gideon Sadikiel Mmbando

“…This review demonstrates how these advances can improve agricultural resilience, productivity, and sustainability by utilizing AI’s capacity for predictive analytics, crop modelling, and precision agriculture, along with RS’s strengths in climate projections, land management, and continuous surveillance. …”
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Carbon Footprint Management with Industry 4.0 Technologies and Erp Systems in Sustainable Manufacturing by Yüksel Yurtay

“…The study identifies opportunities for real-time monitoring, predictive analytics, and cross-sector collaborations while addressing obstacles such as high initial costs, data integration complexities, and the lack of regulatory frameworks. …”
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The transformative role of artificial intelligence in human resources by Klemen Žibret

“…By taking a look towards the future, we can predicts that tools like predictive analytics, monitoring of employee well-being, and convergence of AI with augmented reality (AR) and virtual reality (VR) can be projected as some of the future key developments. …”
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Transforming oral cancer care: The promise of deep learning in diagnosis by Durairaj Varalakshmi, Mayakrishnan Tharaheswari, Thirunavukarasou Anand, Konda Mani Saravanan

“…Deep learning (DL), a subset of artificial intelligence, holds promise for transforming medical image analysis and predictive analytics. In this perspective, we examine the applications of DL in oral cancer. …”
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Digital Transformation: Improving Operation Efficiencies Through AI-Predictive Analysis Network at a Vancouver Catering Services by Innocent Mafiele, Rustam Nigmatullin, Farzaneh Tajikfilestan, Gaurav Pawar, Anu Chawla

“…The concept is centred on deploying the AI-driven Predictive Analytics Network (APAN), a technological solution intended to boost productivity overall, streamline workflows, and improve the efficiency of food delivery. …”
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The impact of artificial intelligence on business performance: a bibliometric analysis of publication trends by Rachid ZIKY, Hicham BAHIDA, Ahmed ABRIANE

“…Bibliometric analysis identified the most influential authors and institutions, highlighting predominant keywords such as "big data," "automation," and "predictive analytics." Results underscore the importance of deep learning and performance optimization. …”
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Advancements in Chemical Materials: Exploring Smart Storage Equipment and Protection Systems (Review) by Samah Kamil, Mohammed Al-Turfi, Riyadh Almukhtar

“…Results showed breakthroughs in sensor technologies, systems integration, and AI algorithms for real-time storage facility monitoring, danger identification, and predictive analytics. Smart storage solutions reduce hazards, ensure compliance, and protect the environment. …”
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Review of Data-driven Decision Support Systems and Methodologies for the Diagnosis of Casting Defects by A. Burzyńska

“…The digital transformation of traditional companies into innovative smart factories is made possible by the potential of Artificial Intelligence (AI), which is able to perform predictive analytics inspired by the development of Industrial Internet of Things (IoT) technologies or to support highly complex decision-making, in the era of zero-defect manufacturing. …”
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Role of Artificial Intelligence in Oral Cancer by Vidhya Rekha Umapathy, Prabhu Manickam Natarajan, Bhuminathan Swamikannu, Sabarinathan Jaganathan, Suba Rajinikanth, Vijayalakshmi Periyasamy

“…Deep learning architectures, exemplified by convolutional neural networks (CNNs), automatize lesion detection, and characterization from medical imagery, thereby expediting diagnostic efficacy. Predictive analytics methodologies combine multifaceted patient data to access risk and prognosticate disease trajectory, thereby facilitating bespoke treatment schema. …”
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Distributed cross-learning for equitable federated models - privacy-preserving prediction on data from five California hospitals by Tsung-Ting Kuo, Rodney A. Gabriel, Jejo Koola, Robert T. Schooley, Lucila Ohno-Machado

“…Abstract Quality improvement, clinical research, and patient care can be supported by medical predictive analytics. Predictive models can be improved by integrating more patient records from different healthcare centers (horizontal) or integrating parts of information of a patient from different centers (vertical). …”
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Power Quality Assessment and Optimization in FUZZY-Driven Healthcare Devices by Dinesh Kumar Nishad, Saifullah Khalid, Rashmi Singh

“…This paper introduces an innovative FUZZY-driven energy management system that combines convolutional neural networks (CNNs) for real-time power quality event detection, long short-term memory (LSTM) networks for predictive analytics, and reinforcement learning for optimized control. …”
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