An Adaboost-Backpropagation Neural Network for Automated Image Sentiment Classification by Jianfang Cao, Junjie Chen, Haifang Li

“…We described image emotions using the Ortony, Clore, and Collins emotion model and constructed a strong classifier by integrating 15 outputs of a BP neural network based on the Adaboost algorithm. The objective of the study was to improve the efficiency of emotional image classification. …”
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Development of the Shaking Table and Array System Technology in China by Chun-hua Gao, Xiao-bo Yuan

“…Research, conclusion, comparison, and analysis concerning the developmental history, constructional situation, performance index, control algorithm, and experimental technique of the internal shaking table were reviewed and compared. …”
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Adaptive temporal-difference learning via deep neural network function approximation: a non-asymptotic analysis by Guoyong Wang, Tiange Fu, Ruijuan Zheng, Xuhui Zhao, Junlong Zhu, Mingchuan Zhang

“…Nonetheless, the rate of convergence for current neural temporal-difference (TD) learning algorithms is constrained, largely due to their high sensitivity to stepsize choices. …”
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Adaptive enhancement of shoulder x-ray images using tissue attenuation and type-II fuzzy sets. by Qifeng Liu, Yong Han, Lu Shen, Jialei Du, Marzia Hoque Tania

“…Additionally, we apply an improved Type-II fuzzy set algorithm to further optimize image sharpness. By simultaneously enhancing contrast and sharpness, the method significantly improves image quality and detail distinguishability. …”
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Obtaining patient phenotypes in SARS-CoV-2 pneumonia, and their association with clinical severity and mortality by Fernando García-García, Dae-Jin Lee, Mónica Nieves-Ermecheo, Olaia Bronte, Pedro Pablo España, José María Quintana, Rosario Menéndez, Antoni Torres, Luis Alberto Ruiz Iturriaga, Isabel Urrutia, COVID-19 & Air Pollution Working Group

“…We proposed a sequence of machine learning stages: feature scaling, missing data imputation, reduction of data dimensionality via Kernel Principal Component Analysis (KPCA), and clustering with the k-means algorithm. The optimal cluster model parameters –including k, the number of phenotypes– were chosen automatically, by maximizing the average Silhouette score across the training set. …”
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Comparative Analysis of Carbon Density Simulation Methods in Grassland Ecosystems: A Case Study from Gansu Province, China by Luyao Wu, Jiaqiang Du, Xinying Liu, Lijuan Li, Xiaoqian Zhu, Xiya Chen, Yue Gong, Yushuo Li

“…However, substantial variability among remote sensing inversion models, particularly in theoretical foundations, variable selection, and algorithmic implementation, introduces significant uncertainty into estimating grassland carbon density. …”
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Ginkgetin Alleviates Inflammation and Senescence by Targeting STING by Yadan Liu, Jialin Ye, Zisheng Fan, Xiaolong Wu, Yinghui Zhang, Ruirui Yang, Bing Jiang, Yajie Wang, Min Wu, Jingyi Zhou, Jingyi Meng, Zhiming Ge, Guizhen Zhou, Yuan Zhu, Yichuan Xiao, Mingyue Zheng, Sulin Zhang

“…In summary, this study, utilizing an artificial intelligence algorithm combined with pharmacological methods, confirms STING serves as a critical target for Ginkgetin in alleviating inflammation and senescence. …”
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Classification and diagnosis of cervical lesions based on colposcopy images using deep fully convolutional networks: A man-machine comparison cohort study by Binhua Dong, Huifeng Xue, Ye Li, Ping Li, Jiancui Chen, Tao Zhang, Lihua Chen, Diling Pan, Peizhong Liu, Pengming Sun

“…Moreover, image-based and population-based diagnostic performances of the AI algorithm and physicians with different levels of specialist experience were compared. …”
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Perbandingan Metode Penyelesaian Permasalahan Optimasi Lintas Domain dengan Pendekatan Hyper-Heuristic Menggunakan Algoritma Reinforcement-Late Acceptance by Anang Firdaus, Ahmad Muklason, Vicha Azthanty Supoyo

“…In improving performance, this study examines the effect of the adaptation of the Reinforcement Learning (RL) algorithm as LLH selection combined with the Late Acceptance algorithm as a move acceptance. …”
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Monitoring the Concentrations of Na, Mg, Ca, Cu, Fe, and K in <i>Sargassum fusiforme</i> at Different Growth Stages by NIR Spectroscopy Coupled with Chemometrics by Sisi Wei, Jing Huang, Ying Niu, Haibin Tong, Laijin Su, Xu Zhang, Mingjiang Wu, Yue Yang

“…The effects of four spectral pretreatment methods and three wavelength selection methods, including the synergy interval partial least squares (SI-PLS) algorithm, genetic algorithm (GA), and competitive adaptive reweighted sampling method (CARS) on the model optimization, were evaluated. …”
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Eye Collateral Channel Characteristic Analysis and Identification Model Construction of Mild Cognitive Impairment by WU Tiecheng, CAO Lei, YIN Lianhua, HE Youze, LIU Zhizhen, YANG Minguang, XU Ying, WU Jinsong

“…Different MCI identification models were constructed using support vector machine, decision tree, artificial neural network and random forest algorithm, with MCI eye collateral channel characteristics and TCM syndrome elements as independent variables and onset of MCI as a dependent variable. …”
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The efficacy of sinustrabeculectomy in the modern clinical practice by A.V. Antonova, V.P. Nikolaenko, V.V. Brzheskiy, A.Ya. Vuks

“…</p> <p> <b>Keywords</b>: glaucoma, sinustrabeculectomy , intraocular pressure, glaucoma surgery, cascade algorithm, complete success, qualified success, complete failure. …”
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Pre-Hospital Point-of-Care Troponin: Is It Possible to Anticipate the Diagnosis? A Preliminary Report by Cristian Lazzari, Sara Montemerani, Cosimo Fabrizi, Cecilia Sacchi, Antoine Belperio, Marilena Fantacci, Giovanni Sbrana, Agostino Ognibene, Maurizio Zanobetti, Simone Nocentini

“…The rationale of the HEART POCT study is to propose the application of the 0/1 h European Society of Cardiology (ESC) algorithm in the pre-hospital setting using a POCT device (Atellica VTLi). …”
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Epidemiology of community-acquired pneumonia among hospitalised children in Indonesia: a multicentre, prospective study by Rina Triasih, Yan Mardian, Dewi Lokida, Helmia Farida, Herman Kosasih, Adhella Menur Naysilla, Arif Budiman, Chakrawati Hayuningsih, Moh Syarofil Anam, Dwi Wastoro, Mujahidah Mujahidah, Setya Dipayana, Amalia Setyati, Abu Tholib Aman, Nurhayati Lukman, Muhammad Karyana, Ahnika Kline, Aaron Neal, Chuen-Yen Lau, Clifford Lane

“…We applied a previously published algorithm (PEER-PePPeS rules) to determine the causative pathogen(s).Results 188 subjects were enrolled. …”
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Is the freezing index a valid outcome to assess freezing of gait during turning in Parkinson’s disease? by Maaike Goris, Pieter Ginis, Clint Hansen, Christian Schlenstedt, Christian Schlenstedt, Jeffrey M. Hausdorff, Jeffrey M. Hausdorff, Jeffrey M. Hausdorff, Nicholas D’Cruz, Wim Vandenberghe, Wim Vandenberghe, Walter Maetzler, Alice Nieuwboer, Moran Gilat

“…The FOG-index is a widely used wearable sensor-based algorithm to quantify FOG severity during turning. …”
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A Three-Stage-Concatenated Non-Linear MMSE Interference Rejection Combining Aided MIMO-OFDM Receiver and its EXIT-Chart Analysis by Jue Chen, Siyao Lu, Tsang-Yi Wang, Jwo-Yuh Wu, Chih-Peng Li, Soon Xin Ng, Robert G. Maunder, Lajos Hanzo

“…Based on this concept, we then design a novel NL equalizer relying on the Smart Ordering and Candidate Adding (SOCA) algorithm. This reduced complexity NL detection algorithm is particularly well suited for practical hardware implementation using parallel processing at a low latency. …”
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Segmentasi Pelanggan Ritel Produk Farmasi Obat Menggunakan Metode Data Mining Klasterisasi Dengan Analisis Recency Frequency Monetary (RFM) Termodifikasi by Arief Wibowo, Andy Rio Handoko

“…The performance of the model is compared with the K-Medoids algorithm. The results of customer clustering in two categories using K-Medoids have a DBI value of 1,334. …”
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Human motion capture data recovery based on non-convex low-rank priors of temporal difference(非凸时序差分低秩约束的人体运动捕获数据恢复算法) by 胡文玉(HU Wenyu), 彭绍婷(PENG Shaoting), 郭震宇(GUO Zhenyu), 黄慧英(HUANG Huiying)

“…Comparison is made between the proposed algorithm NTDLR and three classical algorithms, i.e., TrNN, CaNN and IRNNL Lp, on CMU dataset and HDM05 dataset. …”
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EyeLiner by Yoga Advaith Veturi, MSc, Steve McNamara, OD, Scott Kinder, MS, Christopher William Clark, MS, Upasana Thakuria, MS, Benjamin Bearce, MS, Niranjan Manoharan, MD, Naresh Mandava, MD, Malik Y. Kahook, MD, Praveer Singh, PhD, Jayashree Kalpathy-Cramer, PhD

“…Methods: Anatomical keypoints along the retinal blood vessels were detected from the moving and fixed images using a convolutional neural network and subsequently matched using a transformer-based algorithm. Finally, transformation parameters were learned using the corresponding keypoints. …”
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Delta radiomics modeling based on CTP for predicting hemorrhagic transformation after intravenous thrombolysis in acute cerebral infarction: an 8-year retrospective pilot study by Xiaxia Wu, Xiaxia Wu, Jinfang Yang, Jinfang Yang, Xianqun Ji, Yingjian Ye, Ping Song, Lina Song, Peng An, Peng An

“…This was confirmed by the XGboost algorithm, and decision curves confirmed the higher clinical net benefit of the combined model. …”
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