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201
Retracted: Machine Learning Algorithms for Prediction of Survival Curves in Breast Cancer Patients
Published 2023-01-01Get full text
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202
CKRT coagulation risk prediction and nursing feedback model based on intelligent algorithms
Published 2025-07-01“…A hybrid machine learning algorithm was applied to predict the timing of Continuous Kidney Replacement Therapy initiation for patients with acute kidney injury. …”
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203
AI-Based Prediction of Warpage in Organic Substrates
Published 2025-01-01Subjects: “…Warpage prediction…”
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204
Application of the Different Machine Learning Algorithms to Predict Dry Matter Intake in Feedlot Cattle
Published 2025-01-01“…The main objective of this study was to compare different machine learning algorithms to predict daily dry matter intake (DMI) in feedlot cattle. …”
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205
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Deep learning for algorithmic trading: A systematic review of predictive models and optimization strategies
Published 2025-07-01Subjects: Get full text
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207
Analytical Predictive Guidance Algorithm Based on Single Ballistic Coefficient Switching for Mars Aerocapture
Published 2019-01-01“…An aerocapture analytical predictive guidance algorithm for single ballistic coefficient switching is proposed. …”
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208
Model Predictive Control Algorithm for Video Coding and Uplink Delivery in Delay-Critical Applications
Published 2025-01-01“…This paper introduces a new frame-level video encoder rate control technique for ultra-low-latency video coding and delivery. A Model Predictive Control approach, exploiting the buffer level at the transmitter and an estimate of the transmission rate, is used to determine the target encoding rate of each video frame to adapt with minimum delay to sudden variations of the transmission channel characteristics. …”
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209
Improved Model Predictive Control Algorithm for the Path Tracking Control of Ship Autonomous Berthing
Published 2025-06-01“…To address the issues of path tracking accuracy and control stability in autonomous ship berthing, an improved algorithm combining nonlinear model predictive control (NMPC) and convolutional neural networks (CNNs) is proposed in this paper. …”
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210
Improving the Predictive Accuracy of the National Early Warning Score 2: Protocol for Algorithm Refinement
Published 2025-07-01“…ConclusionsThe refined NEWS2 algorithm will address limited accuracy in predicting clinical deterioration beyond 24 hours in the original system by incorporating additional variables. …”
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211
Predictive PID Control for Automated Guided Vehicles Using Genetic Algorithm and Machine Learning
Published 2025-01-01“…Specifically, the GA-optimized true PID values achieved a mean error of 11.8402, while the SVR-predicted PID values had a mean error of 15.4438, with SVR attaining a recall of 86.55%. …”
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212
Cluster Workload Allocation: A Predictive Approach Leveraging Machine Learning Efficiency
Published 2024-01-01Get full text
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213
Prediction of pulmonary embolism by an explainable machine learning approach in the real world
Published 2025-01-01Subjects: Get full text
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214
Prediction and diagnosis of cardiovascular disease using cloud and machine learning design
Published 2025-01-01Subjects: Get full text
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215
Wireless Channel Prediction Using Artificial Intelligence With Imperfect Datasets
Published 2025-01-01Subjects: Get full text
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216
The relevance of the data collection process in the VioGén system from a feminist perspective
Published 2024-11-01Subjects: Get full text
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217
Comparative Analysis of ARIMA and lSTM Predictive Models: Evidence from Russian Stocks
Published 2020-03-01Subjects: Get full text
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218
Machine learning based on laboratory data for disease prediction
Published 2022-01-01Subjects: Get full text
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219
Research on International Law Data Integrity Guarantee Based on Antiterrorism Prediction Algorithm
Published 2022-01-01“…In order to improve the quality of international law data, this paper designs a method to ensure the integrity of international law data based on an antiterrorism prediction algorithm. On the basis of introducing random function and deep learning technology, the prediction model set is split through the trusted seed model, the model selection is completed through iterative optimization, and then new terrorism-related factors are added to obtain the new prediction model set, so as to complete the antiterrorism data prediction. …”
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220
Development of a Fault Prediction Algorithm for Marine Propulsion Energy Storage System
Published 2025-03-01“…This study presents an AI-based fault prediction algorithm to enhance the safety and reliability of lithium-ion battery systems used in electric propulsion ships. …”
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