The role of explainable AI in enhancing breast cancer diagnosis using machine learning and deep learning models by Zulfikar Ali Ansari, Manish Madhava Tripathi, Rafeeq Ahmed

“…Although artificial intelligence (AI) has showed amazing promise in breast cancer prediction mainly machine learning (ML) algorithms as well as deep learning (DL), practical use of these models is greatly hampered by their lack of interpretability and transparency. …”
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ULOTrack: Underwater Long-Term Object Tracker for Marine Organism Capture by Ju He, Yang Yu, Hongyu Wei, Hu Xu

“…Therefore, existing tracking algorithms face difficulty in direct application to underwater object tracking. …”
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Osteoarthritis: management strategies depending on the location of lesions by N. A. Shostak, N. G. Pravduk, M. O. Anischenko, M. S. Dzhauari

“…Current guidelines recommend non-drug therapy, pharmacotherapy, and surgery. …”
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Design of Intrusion Detection and Response Mechanism for Power Grid SCADA Based on Improved LSTM and FNN by Yu Huang, Liangyuan Su

“…The current behavior pattern extraction methods in intrusion detection systems cannot fully extract information. …”
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Real-Time Motor Control Using a Raspberry Pi, ROS, and CANopen over EtherCAT, with Application to a Semi-Active Prosthetic Ankle by Kieran M. Nichols, Rebecca A. Roembke, Peter G. Adamczyk

“…This paper focused on the implementation method and results of modifying a Raspberry Pi 4 for real-time control of brushless direct-current motors, with application in a semi-active two-axis ankle prosthesis. …”
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Handwriting Difficulties: A Review of Recent Advances in the Identification and Intervention by Suatmi Murnani, Kazuharu Hashitsume, Tomohiko Igasaki

“…Rather than proposing a new method or computational framework, it highlights trends, challenges, and opportunities in current research. We systematically reviewed 107 primary studies published between 2019 and 2024, sourced from IEEE Xplore and SpringerLink. …”
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Photoplethysmography and Artificial Intelligence for Blood Glucose Level Estimation in Diabetic Patients: A Scoping Review by Sara Lombardi, Leonardo Bocchi, Piergiorgio Francia

“…Only publications concerning PPG signal analysis using AI algorithms for noninvasive estimation of BGL in patients with diabetes were considered. …”
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Investigation and Application of Water-Saving Monitoring Technology in Public Institutions by WANG Kang, ZHENG Yongjie, ZHANG Zhen, TANG Yanping, SONG Wenhao, GUO Xiaoming

“…Considering the characteristics of water use and the current situation of water facilities in public institutions,this study comprehensively employs the Internet of Things (IoT),cloud deployment,databases,three-dimensional (3D) visualization,and other advanced techniques to create a water-saving reconstruction scheme with integrated software and hardware for public institutions.Therefore,a smart water management platform for public institutions is built to implement advanced water-saving concepts and improve the water management level.The main research results are as follows:① By intelligent remote monitoring equipment,the multiclass water measurement network is designed to realize the fine collection of zonal water use data;② this study designs a reconstruction scheme of water facilities and explores the utilization mode of unconventional water sources to improve the utilization efficiency of water resources;③ multiple algorithms and statistical methods are used to analyze the time series of water use data,and thus this study realizes the analysis of pipeline network leakage and damage,identification of water use anomalies,and water-saving statistical analysis,and the investigation of water use laws;④ the platform with functions of monitoring and early warning is established to achieve real-time remote monitoring of water use,statistical analysis of historical water use,and identification and warning of pipe network leakage,so as to detect water anomalies in time and save water.The research results are first applied to the construction of the water-saving institution of the Pearl River Water Resources Commission to build a benchmark for the construction of water-saving institutions in the southern region.On the basis of application experience,the comprehensively integrated monitoring technology for water-saving in public institutions is developed,which provides a new idea for public institutions to save water.…”
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Effective Parallel Processing Social Media Analytics Framework by Ravindra Kumar Singh, Harsh Kumar Verma

“…The widespread adoption of opinion mining and sentiment analysis in higher cognitive processes encourages the need for real-time processing of social media data to capture insights about user's sentiment polarity, user’s opinion, and current trends of the domain. In recent years lots of research were conducted and various machine learning algorithms were developed around the processing of data to achieve higher accuracy while reducing the processing time is still challenging. …”
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Infections Caused by Carbapenem-Resistant Enterobacterales: Epidemiology, Clinical Significance, and Possibilities for Antibiotic Therapy Optimization by S. V. Yakovlev, M. P. Suvorova, A. O. Bykov

“…Practical issues of management of such patients are discussed. Algorithms for empirical and targeted therapy of infections caused by carbapenem-resistant enterobacteria are presented.…”
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Artificial Intelligence-Driven Biological Age Prediction Model Using Comprehensive Health Checkup Data: Development and Validation Study by Chang-Uk Jeong, Jacob S Leiby, Dokyoon Kim, Eun Kyung Choe

“…Accurate assessment of biological aging is crucial for mitigating diseases and socioeconomic burdens associated with aging. Current biological age prediction models are limited by their reliance on conventional statistical methods and constrained clinical information. …”
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A multi-modality ground-to-air cross-view pose estimation dataset for field robots by Xia Yuan, Kaiyang Wang, Riyu Qin, Jiachen Xu

“…Cross-view pose estimation using aerial-ground sensor fusion offers an economical alternative, yet current datasets lack field scenarios and high-resolution LiDAR support.This work introduces a multimodal cross-view dataset addressing these gaps. …”
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Detection of Hepatocellular Carcinoma Using Optimized miRNA Combinations and Interpretable Machine Learning Models by Zhengwu Long, Lisheng Zhang

“…Early screening to improve the survival rate of hepatocellular carcinoma (HCC) patients remains a critical clinical challenge. However, current methods for early cancer detection still lack sufficient sensitivity and specificity. …”
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Privacy, ethics, transparency, and accountability in AI systems for wearable devices by Petar Radanliev, Petar Radanliev

“…However, the fast advancement of these technologies has raised critical ethical and regulatory concerns, particularly around data privacy, algorithmic bias, informed consent, and the opacity of automated decision-making. …”
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Responsible artificial intelligence in Africa: towards policy learning by Paul Plantinga, Kristophina Shilongo, Oarabile Mudongo, Angelique Umubyeyi, Michael Gastrow, Gabriella Razzano

“…In response, we suggest that there is a need for more explicit policy learning, by looking at existing governance capabilities and experiences related to algorithms, automation, data, and digital technology in other countries and in adjacent sectors. …”
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Bringing back psychological empowerment in empowerment-oriented leadership: the development of the Psychological Empowerment Leadership Scale (PELS) by Carsten C. Schermuly, Mona Algner, Timo Lorenz

“…We used automated item selection algorithms to ensure high psychometric quality and tested the instrument’s validity and measurement invariance in German and US samples. …”
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Artificial intelligence in automation and graphic design by Esam Ibrahim Mohammed Al-Kubisy

“…In this article we provide an overview of the current use of AI in graphic design and discuss the role it may play in the design process. …”
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Accounting Development in the System of Transition to the New Standards of Financial Security of a Commercial Bank by A. V. Lukyanov

“…The author has proved the need to implement forecasting tools in the current system of accounting of the financial security of the Bank. …”
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The Clinical Significance of the Dense Fine Speckled Immunofluorescence Pattern on HEp-2 Cells for the Diagnosis of Systemic Autoimmune Diseases by Michael Mahler, Marvin J. Fritzler

“…The present paper summarizes the current knowledge about anti-DFS70 antibodies and their clinical impact on ANA testing.…”
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DEEP LEARNING-BASED SUPER-RESOLUTION TECHNIQUES: A COMPARATIVE ANALYSIS WITH RECENT INSIGHTS by Renuka Sambhaji Sindge, Maitreyee Dutta, Jagriti Saini

“…Furthermore, this paper presents future directions for future researchers to follow SR trends with potential DL-based algorithms.…”
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