Anti-VEGF drugs compared with laser photocoagulation for the treatment of proliferative diabetic retinopathy: a systematic review and individual participant data meta-analysis by Mark Simmonds, Alexis Llewellyn, Ruth Walker, Helen Fulbright, Matthew Walton, Rob Hodgson, Laura Bojke, Lesley Stewart, Sofia Dias, Thomas Rush, João Pereira Figueira, Sobha Sivaprasad, John G Lawrenson, Tunde Peto, David Steel

“…Network meta-analyses of best corrected visual acuity and meta-analyses of other outcomes combined individual participant data with published data from other trials; regression analyses against patient covariates used just the individual participant data. …”
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Federated Learning-Based Load Forecasting for Energy Aggregation Service Providers by HUANG Yichuan, SONG Yuhui, JING Zhaoxia

“…Subsequently，a weighted-average strategy was used to jointly train the artificial neural network，bridging the gap between individual energy entities and environmental features. …”
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Speed and efficiency analysis of artificial intelligence recognition system of glomerular pathology based on Faster R-CNN algorithm by YANG Hui, ZHANG Xing-na, JIANG Qiu-zhu, YUAN Cheng-ying, QU Chong-xiao, LIU Yun-xiao, WANG Chen, LI Ming, LI Rong-shan, ZHOU Xiao-shuang

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Dynamic selectout and voting-based federated learning for enhanced medical image analysis by Saeed Iqbal, Adnan N Qureshi, Musaed Alhussein, Khursheed Aurangzeb, Atif Mahmood, Saaidal Razalli Bin Azzuhri

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Validation the output data of the global model of the atmosphere on data of aerological sensing with increscent lead time by A. K. Kagermazov, L. T. Sozaeva

“…This indicate to the preservation of the predictive potential of the data of the global atmospheric model up to average term meteorological forecasts. …”
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A Leading Routing Mechanism for Neighbor Content Store by Chuanzhen Du, Julong Lan, Ming Tian

“…Finally, the best path was chosen to send the interest packets. The theoretical analysis and simulation results show that, this mechanism adequately uses the neighbor content and effectively decreases the average network delay. …”
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A Leading Routing Mechanism for Neighbor Content Store by Chuanzhen Du, Julong Lan, Ming Tian

“…Finally, the best path was chosen to send the interest packets. The theoretical analysis and simulation results show that, this mechanism adequately uses the neighbor content and effectively decreases the average network delay. …”
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Evolutionary Cost Analysis and Computational Intelligence for Energy Efficiency in Internet of Things-Enabled Smart Cities: Multi-Sensor Data Fusion and Resilience to Link and Devi... by Khalid A. Darabkh, Muna Al-Akhras

“…Thorough simulations and comparative analysis reveal the protocol’s superior performance across key performance metrics, namely, network lifespan, energy consumption, throughput, and average delay. …”
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Personalized learning path optimization based on enhanced deep neural network: higher education teaching model integrating learner behavior and cognitive style by Xiaomei Ding, Huaibao Ding, Fei Zhou, Lihong Zhao

“…To address the above problems, this paper designs an effective model for optimizing personalized learning paths using Enhanced Deep Neural Networks (EDNN). The model adopts the Actor-Critic framework to introduce a multilayer perceptron (MLP) in the Actor part to fuse behavioral data and cognitive style, and a long short-term memory (LSTM) neural network in the Critic part to process time series data, thereby realizing the selection and dynamic adjustment of personalized learning paths. …”
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Bridge Structural Damage Identification Technique Based on BPNN and Vehicle-bridge Interaction Analysis by Lingling Li, Yibo Zhang

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Bridge Structural Damage Identification Technique Based on BPNN and Vehicle-bridge Interaction Analysis by Lingling Li, Yibo Zhang

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Detection of Multiple Small Biased GPS Spoofing Attacks on Autonomous Vehicles Using Time Series Analysis by Ahmad Mohammadi, Reza Ahmari, Vahid Hemmati, Frederick Owusu-Ambrose, Mahmoud Nabil Mahmoud, Parham Kebria, Abdollah Homaifar

“…This research introduces an algorithm to identify GPS spoofing attacks in Autonomous Vehicles (AV). It uses data from onboard sensors such as speedometers and gyroscopes, which are integrated and analyzed using a Neural Network (NN). …”
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A privacy preserving machine learning framework for medical image analysis using quantized fully connected neural networks with TFHE based inference by Sadhana Selvakumar, B. Senthilkumar

“…However, sharing sensitive raw medical data with third parties for analysis raises significant privacy concerns. …”
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Network-based machine learning reveals cardiometabolic multimorbidity patterns and modifiable lifestyle factors: a community-focused analysis of NHANES 2015–2018 by Danhui Mao, Junfang Mu, Yajing Li, Lu He, Qianhui Chai, Xin Zhao, Xiaojun Ren, Hui Cheng

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Enhancing Stock Price Forecasting With a Hybrid SES-DA-BiLSTM-BO Model: Superior Accuracy in High-Frequency Financial Data Analysis by Talabathula Jayanth, A. Manimaran, G. Siva

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Machine learning identification of molecular targets for medulloblastoma subgroups using microarray gene fingerprint analysis by Alicia Reveles-Espinoza, Ulises Villela, Edgar Hernandez-Martinez, Isaac Chairez, Sergio Juárez-Méndez, J. Casanova-Moreno, Ma. del Pilar Eguía-Aguilar, Luis Figueroa-Yáñez, Adriana Vallejo-Cardona, Iván Salgado

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Effectiveness and priority of irradiation and six NSAIDs in prevention heterotopic ossification after total hip arthroplasty: a network meta-analysis of randomized controlled studi... by Fei Yang, Fei Yang, Lei Wen, Lei Wen, Changshun Chen, Changshun Chen, Qiao Zhao, Zhiwei Feng, Zhiwei Feng, Bin Ran, Xuwei Luo, Dongqin Xiao, Qifan Fang

“…A Bayesian network meta-analysis (NMA) was implemented to evaluate and contrast the efficacy of irradiation and six distinct NSAIDs in preventing HO after THA. …”
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Quantitative Assessment of the Development of Arctic Research by A. I. Terekhov

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Evaluation of predictive performance of modeling hyperuricemia using medical big data: comparison of data preprocessing methods by Luwei Li, Xian Huang, Cijin Yan, Shuzhan He, Sishuai Cheng, WenJie Yang

“…Logistic regression, LightGBM model, and Deep Neural Network were used to predict hyperuricemia in the form of continuous variables in the raw data. …”
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Les mots du Grand Débat national : les réseaux lexicaux des contributions déposées sur trois plateformes by Sabine Ploux, Michael Genay, Leu Ploux-Chillès

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