Prediction of peripheral lymph node metastasis (LNM) in thyroid cancer using delta radiomics derived from enhanced CT combined with multiple machine learning algorithms by Wenzhi Wang, Feng Jin, Lina Song, Jinfang Yang, Yingjian Ye, Junjie Liu, Lei Xu, Peng An

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Knowledge Gap Extraction Based on Learner Interaction with Training Videos by Yosra Bahrani, Omid Fatemi

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Blockchain-Enabled Federated Learning to Enhance Security and Privacy in Internet of Medical Things (IoMT) by zahra eskandari

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Ensuring the Survivability of a Complex Technical System Under Special Conditions by Vladimir V. Alekseev, Dmitry A. Ivanov, Ilya G. Ryzhov

“…The objective of the research presented in this article was to develop an algorithm for ensuring the survivability of a complex technical system under special conditions. …”
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A survey on localization and energy efficiency in UWSN: bio-inspired approach by J. Murali, T. Shankar

“…Abstract The underwater wireless sensor networks (UWSNs) area is a developing area of research since there are tremendous opportunities like surveying marine life, installing and monitoring optical cables, detecting earthquakes, and surveillance of territorial borders. …”
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Performance of artificial intelligence on cervical vertebral maturation assessment: a systematic review and meta-analysis by Termeh Sarrafan Sadeghi, Seyed AmirHossein Ourang, Fatemeh Sohrabniya, Soroush Sadr, Parnian Shobeiri, Saeed Reza Motamedian

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Optimizing Hyperspectral Desertification Monitoring Through Metaheuristic-Enhanced Wavelet Packet Noise Reduction and Feature Band Selection by Weichao Liu, Jiapeng Xiao, Rongyuan Liu, Yan Liu, Yunzhu Tao, Tian Zhang, Fuping Gan, Ping Zhou, Yuanbiao Dong, Qiang Zhou

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Refining malaria diagnosis in high-transmission areas: a dual-approach with rapid diagnostic tests (RDTs) and dbPCR-NALFIA by Diane Yirgnur Some, Francois Kiemde, Hermann Sorgho, Marc Christian Tahita, Antonia Windkouni Bere, Abdoulaye Ouedraogo, Souleymane Vivien Banao, Kouadjo Bagre, Gérémie Djiri, Georges Some, Toussaint Rouamba, Yeri Esther Hien, Aly Savadogo, Henk D. F. H. Schallig, Halidou Tinto

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Implementing a transmural model of early palliative care in advanced dementia: the use of a hybrid effectiveness-implementation study design by Allyn Hum, Palvinder Kaur, Wen Yang Goh, Riyin Tay, Han Yee Neo, Mervyn Yong Hwang Koh, Noorhazlina Binte Ali, Wee Shiong Lim, Yu-Ling Jackie Tan, Huei Yaw Wu, Palvannan Kannapiran, Hwee Teng Robyn Tan, Yan Sun, Chin Ee Ong, Ravinder Singh Sachdev, Zhi Jun Low, Lee Hung Tey, Woan Shin Tan, Yew Yoong Ding

“…Aim The aim of this study is to implement a transmural model of care in a tertiary care setting where patients living with advanced dementia (PLAD) at risk of deterioration in one year are identified early to receive tailored palliative care interventions using a predictive algorithm. Methods/Design The updated medical research council (MRC) framework for complex interventions is used to guide the development and implementation of the transmural model which incorporates a predictive algorithm in clinical practice, with interventions tailored for at risk PLAD both within, and beyond the tertiary care setting. …”
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Classification of radial polydactyly based on physical characteristics by Wei Chien Sun, Po An Chen, Brian Po Rong Chen, Wei Chun Lee, Hsuan Kai Kao, Wen E Yang, Chia Hsieh Chang

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Methodology for determining and controlling the load capacity of integrated circuits by Gennady P. Shopin, Alina A. Denisyuk, Mikhail N. Piganov

“…It includes a model, a control device and an algorithm for its functioning. A well-known model was used, which was adapted to specific development and research tasks. …”
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Refining the Feasibility of Machine‐Learning‐Based Diagnostic Model Utilizing Gut Microbiota Analysis for Colorectal Cancer Screening by Shintaro Okumura, Yusuke Konishi, Taku Kitano, Tomonori Matsumoto, Kazutaka Obama, Satoshi Nagayama, Eiji Hara

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Construction and Completion of the Knowledge Graph for Cow Estrus with the Association Rule Mining by Zhiwei Cheng, Luyu Ding, Cheng Peng, Helong Yu, Baozhu Yang, Ligen Yu, Qifeng Li

“…To uncover potential relationships within the graph, we applied and compared two association rule algorithms: FP-Growth and Apriori. We utilized Boolean functions derived from association rule learning to validate the ability of the rules to identify normal estrus. …”
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An optimal water distribution model for canal systems based on water level by Ke Zhou, Yu Fan, Zhanyi Gao, Mingming Yang, Yifan Wang, Yun Yang

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OGAIS: OpenGL-Driven GPU Acceleration Methodology for 3D Hyperspectral Image Simulation by Xiangyu Li, Wenjuan Zhang, Bowen Wang, Huaili Qiu, Mengnan Jin, Peng Qi

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VEHICLE IDENTIFICATION MARKINGS ON MERCEDES BENZ PASSENGER CARS AND TRUCKS by E. Chesnokova, S. Kulik, A. Kondakov

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THE CONTROLLER OF FUZZY LOGIC IN THE MANAGEMENT OF TECHNOLOGICAL PROCESSES by S. V. Shilkina, E. N. Fokina

“…Therefore, this article is devoted to the consideration of fuzzy logic controller’s application in management systems and existing research methods’ analysis in the field of intelligent control technologies for solving the problems of adaptation of applied models and algorithms to various objects and systems, particularly to the systems for maintaining the microclimate parameters of the building’s life support environment, and also to the basic parameters of increasing the economic efficiency of using the fuzzy logic controller in the control system.Conclusion. …”
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Comparative performance evaluation of economic load dispatch using metaheuristic techniques: A practical case study for Bangladesh by Sumaiya Janefar, Prangon Chowdhury, Rahbaar Yeassin, Mahmudul Hasan, Nahid-Ur-Rahman Chowdhury

“…PSO emerges as the most effective algorithm for minimizing costs and losses, while HS is suitable for time-sensitive applications. …”
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Constructing resource-efficient quantum circuits for AES by Liao-Liang Jiang, Liao-Liang Jiang, Bin-Bin Cai, Fei Gao, Fei Gao, Fei Gao, Su-Juan Qin, Su-Juan Qin, Su-Juan Qin, Zheng-Ping Jin, Zheng-Ping Jin, Zheng-Ping Jin, Qiao-Yan Wen, Qiao-Yan Wen, Qiao-Yan Wen

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A novel problem-solving method by multi-computational optimisation of artificial neural network for modelling and prediction of the flow erosion processes by Hossein Moayedi, Atefeh Ahmadi Dehrashid, Binh Nguyen Le

“…This research aims to forecast, using various criteria, the flow of soil erosion that will occur at a particular geographical location. …”
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