Empowering Fuel Cell Electric Vehicles Towards Sustainable Transportation: An Analytical Assessment, Emerging Energy Management, Key Issues, and Future Research Opportunities by Tuhibur Rahman, Md. Sazal Miah, Tahia F. Karim, Molla Shahadat Hossain Lipu, Abu M. Fuad, Zia Ul Islam, M. M. Naushad Ali, Mohammed Nazmus Shakib, Shafrida Sahrani, Mahidur R. Sarker

“…Moreover, emerging energy management schemes are investigated, with a focus on intelligent algorithms, optimization techniques, and control strategies, highlighting contributions, key findings, issues, and research gaps. …”
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Groundwater estimation and determination of its probable recharge source in the Lower Swat District, Khyber Pakhtunkhwa, Pakistan, using analytical data and multiple machine learni... by Imran Ahmad, Ibrar Ul Haq, Mansoor Ahmad, Iram Gul, Mursaleen Khan, Khushnuma Khushnuma, Ubaid Ullah, Maqsood Ur Rehman, Mohamed Metwaly

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THE MODERN APPROACH TO THE EDUCATIONAL PROCESS FOR DIAGNOSIS IN DENTISTRY by I.A. Ozhogan

“…Development of recognition algorithms is a complex process that requires certain skills and a lot of experience. …”
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Exploration and future prospects of intelligent supervision technology and system development in biological laboratories by Yanchao Gao, Hua Gu, Yanfeng Ma

“…Abstract Biological laboratories, which are crucial for research and medical trials, often face challenges such as disconnected data, fragmented systems, excessive manual processes, and insufficient smart technology. …”
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Validating a clinical laboratory parameter-based deisolation algorithm for patients with COVID-19 in the intensive care unit using viability PCR: the CoLaIC multicentre cohort stud... by Albert Wolthuis, Petra F G Wolffs, Tim Frenzel, Mathie P G Leers, Frank van Rosmalen, Steven JR Meex, Otto Bekers, Bas C T van Bussel, Inge H M van Loo, Guy JM Mostard, Rémy LM Mostard, Arjen-Kars Boer, Ruben Deneer, Tom Schoenmakers, Stefan H M Gorissen, Wilhelmine P H G Verboeket-van de Venne, Walter N K A van Mook, Stephanie MC Ament, M Sesmu Arbous, Miranda van Berkel, Dirck W van Dam, William PTM van Doorn, Tom P Dormans, Silvia MAA Evers, Judith Gillis, Iwan CC van der Horst, W Nadia H Koek, Kitty CFM Linssen, Luuk C Otterspoor, Natal AW van Riel, Frans Stals

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Research on Dynamic and Steady-State Characteristics of Grid-Following/Grid-Forming Hybrid Control Based on Model Predictive Control by Changzhou Yu, Qin Wang, Wei Fang, Yifei Wang, Haiyang Diao, Haizhen Xu, Leilei Guo

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Development and validation of a machine learning model for online predicting the risk of in heart failure: based on the routine blood test and their derived parameters by Jianchen Pu, Yimin Yao, Xiaochun Wang

“…In addition, eight different machine learning algorithms were applied for prediction, and the prediction performances of these algorithms were comprehensively evaluated using the receiver operating characteristic curve, area under the curve (AUC), calibration curve analysis, and decision curve analysis and confusion matrix.ConclusionsUsing LASSO regression analysis, leukocyte, neutrophil, red blood cell, hemoglobin, platelet, and monocyte-to-lymphocyte ratios were identified as risk factors for HF. …”
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LIFE JOURNEY: MEDICAL AND SCIENTIFIC WORK OF PROFESSOR V.A. SOKOLOV by P. A. Ivanov, A. M. Fain, M. V. Sychevsky

“…For a long time he had been heading polytrauma department at the N.V. Sklifosovsky Research Institute for Emergency Medicine. Due to his work, algorithms of life sustaining and recovery of serious patients were developed. …”
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Measuring mortality due to HIV-associated tuberculosis among adults in South Africa: Comparing verbal autopsy, minimally-invasive autopsy, and research data. by Aaron S Karat, Mpho Tlali, Katherine L Fielding, Salome Charalambous, Violet N Chihota, Gavin J Churchyard, Yasmeen Hanifa, Suzanne Johnson, Kerrigan McCarthy, Neil A Martinson, Tanvier Omar, Kathleen Kahn, Daniel Chandramohan, Alison D Grant

“…Reference CoD were assigned using MIA, research, and health facility data, as available. 259 VAs were completed: 147 (57%) decedents were female; median age was 39 (interquartile range [IQR] 33-47) years and CD4 count 51 (IQR 22-102) cells/μL. …”
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The research on enhancing LA estimation accuracy across domains for small sample data based on data augmentation and data transfer integration optimization system by Ai-Dong Wang, Rui-Jie Li, Xiang-Qian Feng, Zi-Qiu Li, Wei-Yuan Hong, Hua-Xing Wu, Dan-Ying Wang, Song Chen

“…These models encounter generalization challenges when applied to heterogeneous scenarios with small sample sizes. Objective: In this research, our goal is to develop a novel framework to mitigate prediction biases in LA caused by sample limitations and data heterogeneity. …”
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Developing and Implementing an Artificial Intelligence (AI)-Driven System For Electricity Theft Detection by Nwamaka Georgenia Ezeji, Kingsley Ifeanyi Chibueze, Nnenna Harmony Nwobodo-Nzeribe

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Modelled Energy Cost Minimization Solution for Wireless Rechargeable Sensor Networks by Musa Ahmed, Dominic Saaityo NYITAMEN, Fatai Olatunde Adunola, Sagir Lawan

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Effectiveness of Partition and Graph Theoretic Clustering Algorithms for Multiple Source Partial Discharge Pattern Classification Using Probabilistic Neural Network and Its Adaptiv... by S. Venkatesh, S. Gopal, K. Kannan

“…Several efforts have been undertaken by researchers to classify PD pulses utilizing artificial intelligence techniques. …”
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Diagnosis methods for pancreatic cancer with the technique of deep learning: a review and a meta-analysis by Yuanbo Bi, Dongrui Li, Ruochen Pang, Chengxv Du, Da Li, Xiaoyv Zhao, Haitao Lv

“…Inclusion criteria were studies involving PDAC patients, using deep learning algorithms for diagnosis evaluation, using histopathological results as the reference standard, and having sufficient data. …”
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AN INTERFERENCE-IMMUNE COMMUNICATION SYSTEM FOR DIGITAL DATA TRANSMISSION BASED ON A MULTI-CHANNEL CORRELATOR Part 1. DEVELOPMENT OF A SIGNAL FORMATION AND DECODING ALGORITHM FOR T... by A. V. Varavin, H. P. Yermak, D. P. Kudryavtsev, O. S. Vasiliev, M. V. Balaban, S. S. Melnyk, V. M. Zheltov, O. V. Fateev

“…The functional capabilities of the hardware and software tools are evaluated and analyzed for their subsequent integration into the system. Results. An algorithm has been developed for generating and decoding from a sub-noise spread spectrum correlation communication system using DSSS technology. …”
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An overview of machine unlearning by Chunxiao Li, Haipeng Jiang, Jiankang Chen, Yu Zhao, Shuxuan Fu, Fangming Jing, Yu Guo

“…Therefore, this paper summarises the definition of the machine unlearning formulation, process, deletion requests, design requirements and validation, algorithms, applications, and future perspectives, in the hope that it will help future researchers in machine unlearning.…”
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Building the Future of Transportation: A Comprehensive Survey on AV Perception, Localization, and Mapping by Ashok Kumar Patil, Bhargav Punugupati, Himanshi Gupta, Niranjan S. Mayur, Srivatsa Ramesh, Prasad B. Honnavalli

“…In the perception module, we analyze state-of-the-art object detection frameworks, such as You Only Look Once version 8 (YOLOv8), and object tracking algorithms like ByteTrack and BoT-SORT (Boosted SORT). …”
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Prediction of pulmonary embolism by an explainable machine learning approach in the real world by Qiao Zhou, Ruichen Huang, Xingyu Xiong, Zongan Liang, Wei Zhang

“…To address this, we employed an artificial intelligence–based machine learning algorithm (MLA) to construct a robust predictive model for PE. …”
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Electromechanical Battery EMB Mass Minimization taking into Account its Electrical Machines Rotor Energy by Podgornovs Andrejs, Sipovichs Antons

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Physical and mental health management for the older adult using XGBoost algorithm supported by new media technology: developing personalized health intervention plans using healthc... by Yutong Wang, Xin Guan, Shiyuan Qu, Jiarong Liao, Xin Ming, Enhui Li, Zixi Wang

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