Designing of electronic records for patients admitted to the women ward of Imam Hossein Hospital (Phase I) by F farzaneh, M kiandost, G Noghabaei, M Hosseini

“…Background: The electronic data recording technology is used in many developed countries to provide a better service to patients. …”
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Active Learning Framework for Improving Knowledge Graph Accuracy by Donghyun Kim, Hyeongjun Yang, Seokju Hwang, Kyuhwan Yeom, Midan Shim, Kyong-Ho Lee

“…Knowledge graphs are graph-structured data models that provide a robust scheme for representing real-world relational facts with structured triples. …”
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Enhancing Access Across Europe for Documents Published According to Freedom of Information Act: Applying Woogle Design and Technique to Estonian Public Information Act Document by Gerda Viira, Maarten Marx

“…The collected data are available as a dataset.…”
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A Backdoor Attack Against LSTM-Based Text Classification Systems by Jiazhu Dai, Chuanshuai Chen, Yufeng Li

“…With the widespread use of deep learning system in many applications, the adversary has strong incentive to explore vulnerabilities of deep neural networks and manipulate them. …”
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An Efficient and Robust Estimation of Spatio‐Temporally Distributed Parameters in Dynamic Models by an Ensemble Kalman Filter by Yohei Sawada, Le Duc

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Generalized Gaussian Distribution Improved Permutation Entropy: A New Measure for Complex Time Series Analysis by Kun Zheng, Hong-Seng Gan, Jun Kit Chaw, Sze-Hong Teh, Zhe Chen

“…First, the generalized Gaussian distribution cumulative distribution function is employed for data normalization to enhance the algorithm’s applicability across time series with diverse distributions. …”
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An investigation on real-time insights: enhancing process control with IoT-enabled sensor networks by Shivam Pandey, Mahi Chaudhary, Zsolt Tóth

“…Given the substantial volume of IoT-generated data, design-oriented solutions are necessary to accelerate data processing and improve scalability and flexibility. …”
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Carbon-Aware, Energy-Efficient, and SLA-Compliant Virtual Machine Placement in Cloud Data Centers Using Deep Q-Networks and Agglomerative Clustering by Maraga Alex, Sunday O. Ojo, Fred Mzee Awuor

“…The fast expansion of cloud computing has raised carbon emissions and energy usage in cloud data centers, so creative solutions for sustainable resource management are more necessary. …”
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Spectrum utilization improvement for multi‐channel EH‐CRN with spectrum sensing by Kechen Zheng, Jiahong Wang, Anping Chen, Wendi Sun, Xiaoying Liu, Jia Liu

“…To characterize the impact of small‐scale fading and improve the SUE of the EH‐CRN with perfect spectrum sensing (SS), an adaptive scheme concerning SS, channel selection, EH, and data transmission (SCED) scheme are proposed, where the ST selects the channels for SS based on the residual energy, and adjusts the duration of EH and data transmission with respect to the sensing results. …”
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Improved model for intrusion detection in the Internet of Things by Marina S. Amine, Fayza A. Nada, Khalid M. Hosny

“…Abstract The Internet of Things (IoT) includes many devices generating vast amounts of data that need extensive computation. IoT has several definitions, but the most popular refers to multiple devices, objects, and sensors all connecting via a network to exchange data. …”
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Planetary health in action: developing a heatwave vulnerability tool for primary care by Karolina Griffiths, Paul Basso-Bert, Mireille Abraham, Elise Chin, Layana Caroupaye-Caroupin, Manal Ahikki, Emilie Agrech, Camille Debrock, Rim Sabri, Grégoire Mercier, François Carbonnel

“…Integrating primary care records with environmental data may promote broader applications for planetary health research.…”
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Identification of maize leaf diseases using red, green, blue-based images with convolutional neural network (CNN) and residual network (ResNet50) models by Basani Lammy Nkuna, Khaled Abutaleb, Johannes George Chirima, Solomon W. Newete, Adriaan Johannes van der Walt, Adolph Nyamugama

“…A dataset of 1500 maize leaf images representing seven categories of maize disease symptoms was collected from the maize fields in Mopani District, Limpopo, South Africa. The data were processed to train and compare two deep learning models, CNNs and ResNet50. …”
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Novel Method of Estimating Iron Loss Equivalent Resistance of Laminated Core Winding at Various Frequencies by Maxime Colin, Thierry Boileau, Noureddine Takorabet, Stéphane Charmoille

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The Use of Large Language Models for Marking Datasets in Natural Language Processing by Krystina Makoveichuk, Alexander Olifirov, Georgiy Demenchuk, Yan Makoveichuk

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Optimization of deep learning architecture based on multi-path convolutional neural network algorithm by Chuan Zhou, Yan Liu, Xinghan An, Xiyao Xu, Hao Wang

“…The architecture also faces challenges in data scalability efficiency and resource scalability requirements. …”
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The application of multivariate classification method by reference points to determine the degree of spontaneous combustion of coal on the example of the Raspadskaya mine in Kuzbas... by F. A. Golynskaya, O. C. Smirnova, R. A. Nikonov

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A Review of Reliability Assessment and Lifetime Prediction Methods for Electrical Machine Insulation Under Thermal Aging by Jian Zhang, Jiajin Wang, Hongbo Li, Qin Zhang, Xiangning He, Cui Meng, Xiaoyan Huang, Youtong Fang, Jianwei Wu

“…Subsequently, it systematically reviews current methods for reliability assessment and lifetime prediction in the thermal aging process of electrical machine insulation, with a focus on the application of different modeling approaches such as physics-of-failure (PoF) models, data-driven models, and stochastic process models in insulation lifetime modeling. …”
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Novel machine learning algorithm in risk prediction model for pan-cancer risk: application in a large prospective cohort by Chi-Pang Wen, Xifeng Wu, Qingfeng Hu, Huakang Tu, Shan Pou Tsai, David Ta-Wei Chu

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Mobile Phone Auscultation Accurately Diagnoses Chronic Obstructive Pulmonary Disease Using Nonlinear Respiratory Biofluid Dynamics by Caroline Emily Gosser, Luther Daniel, Martin Huecker, Rodrigo Cavallazzi, Hiram Rivas, Jarred Jeremy Thomas, Ryan Close

“…<b>Methods:</b> This prospective study collected mobile phone auscultation data on patients presenting for spirometry and evaluation by a pulmonologist. …”
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Application of artificial intelligence system based on control theory feedback model in ultrasound diagnosis and treatment medical insurance payment by CUI Xiaomei, HUANG Shengxi, ZHANG Qinghong, XU Lijuan, LI Junmei, LYU Xiaoping, HUANG Yanli, CUI Junfang, LI Tingrui

“…Methods Aiming at the unclear category of ultrasonic diagnosis and treatment, an artificial intelligence system for ultrasonic diagnosis and treatment medical insurance payment was developed through using control theory feedback model by our team, and the differences before and after application of this system was compared. A comprehensive collection of abnormal data on medical insurance fund payments was conducted using the hospital information system (HIS) , picture archiving and communication system (PACS) , and the medical insurance payment data platform, covering the period from January 2020 to December 2023. …”
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