Bridging theory and practice in peer-to-peer energy trading: market mechanisms and technological innovations by Pravesh Raghoo, Kalim Shah

“…Enabling technologies discussed are Energy Internet, Internet of Things, Artificial intelligence, Blockchain, Communication networks, and battery flexibility. …”
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AI-based quality assessment methods for protein structure models from cryo-EM by Han Zhu, Genki Terashi, Farhanaz Farheen, Tsukasa Nakamura, Daisuke Kihara

“…Recent advancements have introduced artificial intelligence (AI) into this field. These emerging AI-driven tools offer unique capabilities in the validation and refinement of cryo-EM-derived protein atomic models, potentially leading to more accurate protein structures and deeper insights into complex biological systems.…”
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Charge Diagnostics and State Estimation of Battery Energy Storage Systems Through Transformer Models by Rolando Antonio Gilbert Zequera, Anton Rassolkin, Toomas Vaimann, Ants Kallaste

“…With the continuous development of Artificial Intelligence (AI), designing accurate algorithms that provide diagnostics and maintenance of energy technologies is a challenging task in the energy transition domain. …”
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A Scalable Ensemble Learning-Based Model for Optimal Placement of Circuit Breaker and Sectionalizer in Power Distribution Systems with the Aim of Reliability Improvement by Mehrdad Ebrahimi, Mohammad Rastegar

“…This paper proposes employing ensemble learning methods and explainable artificial intelligence tools to build an accurate data-driven model. …”
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Quantitative Analysis of the Main Controlling Factors of Oil Saturation Variation by Ruijie Huang, Chenji Wei, Jian Yang, Xin Xu, Baozhu Li, Suwei Wu, Lihui Xiong

“…With the high-speed development of artificial intelligence, machine learning methods have become key technologies for intelligent exploration, development, and production in oil and gas fields. …”
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Predicting the urban water demand by equipping intelligent-based methods with discrete wavelet transform function by Mohammad Reza Alikhani, Ramtin Moeini

“…For this purpose, in this research, artificial intelligence and data mining methods, including genetic programming (GP), gene expression programming (GEP), artificial neural network (ANN), and discrete wavelet transform function, are used to predict the daily drinking water consumption values of WDN. …”
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Machine Learning-Based Anomaly Prediction for Proactive Monitoring in Data Centers: A Case Study on INFN-CNAF by Andrea Asperti, Gabriele Raciti, Elisabetta Ronchieri, Daniele Cesini

“…To ensure continuous availability, artificial intelligence solutions are being explored to detect anomalies and predict potential failures proactively. …”
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Digital Twins: Strategic Guide to Utilize Digital Twins to Improve Operational Efficiency in Industry 4.0 by Italo Cesidio Fantozzi, Annalisa Santolamazza, Giancarlo Loy, Massimiliano Maria Schiraldi

“…The proposed methodology integrates key enabling technologies such as the Internet of Things (IoT), Artificial Intelligence (AI), and Machine Learning to create accurate digital replicas of manufacturing systems. …”
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ChatGPT in orthodontics: limitations and possibilities by Lima Nara Grazieli Martins, Costa Lavínia, Santos Patrícia Bittencourt

“…Artificial Intelligence (AI) simulates human intelligence in machines capable of rational response and actions. …”
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Driving Style Recognition under Connected Circumstance Using a Supervised Hierarchical Bayesian Model by Depeng Chen, Zhijun Chen, Yishi Zhang, Xu Qu, Mingyang Zhang, Chaozhong Wu

“…In recent years, the automated driving system has been known to be one of the most popular research topics of artificial intelligence (AI) and intelligent transportation system (ITS). …”
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Kidney Diseases Classification using Hybrid Transfer-Learning DenseNet201-Based and Random Forest Classifier by Abdalbasit Mohammed Qadir, Dana Faiq Abd

“…This study focuses on kidney stones, cysts, and tumors, the three most common types of renal illness, using a dataset of 12,446 CT urogram and whole abdomen images, aiming to move toward an AI-based kidney disease diagnosis system while contributing to the wider field of artificial intelligence research. In this study, a hybrid technique is used by utilizing both pre-train models for feature extraction and classification using machine learning algorithms for the task of kidney disease image diagnosis. …”
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Efficient information exchange approach for medical IoT based on AI and DAG-enabled blockchain by Shanqin Wang, Gangxin Du, Shufan Dai, Mengjun Miao, Miao Zhang

“…The development of artificial intelligence (AI) based medical Internet of Things (IoT) technology plays a crucial role in making the collection and exchange of medical information more convenient. …”
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ChatGPT and oral cancer: a study on informational reliability by Mesude Çi̇ti̇r

“…Abstract Background Artificial intelligence (AI) and large language models (LLMs) like ChatGPT have transformed information retrieval, including in healthcare. …”
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COMPARING HUMAN AND AI-BASED ESSAY EVALUATION IN THE CZECH HIGHER EDUCATION: CHALLENGES AND LIMITATIONS by Tomáš Kincl, Daria Gunina, Michal Novák, Jan Pospíšil

“…Generative artificial intelligence (GenAI) tools offer innovative capabilities for addressing a wide array of tasks involving extensive datasets, both textual and non-textual. …”

An Intelligent Health Monitoring Model Based on Fuzzy Deep Neural Network by Tianye Xing, Yidan Wang, Yingxue Liu, Qi Wu, Rong Ma, Xiaoling Shang

“…An intelligent health detection model is a new technology developed under an artificial intelligence environment, which is of great significance to the care of the elderly and other people who cannot take care of themselves. …”
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Fault Diagnosis Approach for Rotating Machinery Based on Feature Importance Ranking and Selection by Zong Yuan, Taotao Zhou, Jie Liu, Changhe Zhang, Yong Liu

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Optimum Scheduling the Electric Distribution Substations with a Case Study: An Integer Gaining-Sharing Knowledge-Based Metaheuristic Algorithm by Said Ali Hassan, Khalid Alnowibet, Prachi Agrawal, Ali Wagdy Mohamed

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Investigating the Impact of Training Program on Generative AI Applications in Improving University Teaching by Mashael Awadh Al-Saiari, Yusra Mohammed Al-Mughairiyah, Basmah Nasser Al-Mashaikhiya, Badri Abdulhakim Mudhsh

“… Recent innovations in artificial intelligence (AI) have had a profound impact on higher education, as they have on many other aspects of human existence. …”
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Microfluidic Nanoparticle Separation for Precision Medicine by Zhenwei Lan, Rui Chen, Da Zou, Chun‐Xia Zhao

“…Finally, it addresses existing challenges and envisions future development spurred by emerging technologies such as advanced materials science, 3D printing, and artificial intelligence. These interdisciplinary collaborations are anticipated to propel the platformization of microfluidic separation techniques, significantly expanding their potential in precision medicine.…”
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Integrating Sustainable HRM, AI, and Employee Well-Being to Enhance Engagement in Greater Jakarta: An SDG 3 Perspective by Grace Herlina Maria, Iskandar Karto

“…This study explores a combination of Sustainable Human Resource Management and Artificial Intelligence on employee well-being with a view to improving employee engagement for workers in Greater Jakarta, Indonesia. …”
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