Discriminability analysis of ablation experiment. by Zhengyuan Zhang (491725)

“…A multi visual pattern mining algorithm based on variational inference Gaussian mixture model and pattern activation response graph is introduced to address the issues of insufficient frequency and discriminability faced by traditional algorithms. …”

Self-enhancement strategy flowchart. by Zhengyuan Zhang (491725)

“…A multi visual pattern mining algorithm based on variational inference Gaussian mixture model and pattern activation response graph is introduced to address the issues of insufficient frequency and discriminability faced by traditional algorithms. …”

Schematic diagram of PARM. by Zhengyuan Zhang (491725)

“…A multi visual pattern mining algorithm based on variational inference Gaussian mixture model and pattern activation response graph is introduced to address the issues of insufficient frequency and discriminability faced by traditional algorithms. …”

SAR remote sensing for monitoring harmful algal blooms using deep learning models by Kritnipit Phetanan (21741185)

“…<p>Harmful Algal Blooms (HABs) threaten aquatic ecosystems, necessitating effective monitoring strategies in water resource management. Satellite-based remote sensing has emerged as a popular method to address the limitations of in-situ monitoring. …”

Table 1_Southward shift of winter wheat area intensifies regional water scarcity in the Beijing-Tianjin-Hebei region.docx by Qi Yan (287702)

“…This study, conducted in the Beijing-Tianjin-Hebei (BTH) region of China, integrates multi-source remote sensing and meteorological data to develop an adaptive threshold-based algorithm for accurate winter wheat extraction. …”

DataSheet1_A position allocation approach to the scheduling of battery-electric bus charging.CSV by Alexander Brown (2732683)

“…The model is also compared to a heuristic algorithm based on charge thresholds, referred to as the Qin-modified method. …”

Schematic diagram of multi-pattern loss module. by Zhengyuan Zhang (491725)

“…A multi visual pattern mining algorithm based on variational inference Gaussian mixture model and pattern activation response graph is introduced to address the issues of insufficient frequency and discriminability faced by traditional algorithms. …”

Table 1_Effectiveness of deep neural networks in hearing aids for improving signal-to-noise ratio, speech recognition, and listener preference in background noise.docx by Matthew B. Fitzgerald (11526808)

“…In this study, we evaluated the efficacy of a novel deep neural network (DNN)-based algorithm, commercially implemented as Edge Mode™, in improving SPIN outcomes for individuals with sensorineural hearing loss beyond that of conventional environmental classification approaches.…”

Data Sheet 1_Using machine learning methods to predict post-traumatic stress disorder in stroke patients in China.zip by Ying Li (38224)

“…Background<p>This study aims to utilize various machine learning algorithms to construct a risk prediction model for post-stroke Post-Traumatic Stress Disorder (PTSD), select the optimal model, and identify risk factors.…”

Table 1_Pixel-wise navigation line extraction of cross-growth-stage seedlings in complex sugarcane fields and extension to corn and rice.docx by Hongwei Li (17402)

“…In response to such challenges, we proposed a generalizable navigation line extraction algorithm using classical image processing technologies. …”

Table 2_Pixel-wise navigation line extraction of cross-growth-stage seedlings in complex sugarcane fields and extension to corn and rice.docx by Hongwei Li (17402)

“…In response to such challenges, we proposed a generalizable navigation line extraction algorithm using classical image processing technologies. …”

Image 1_Pixel-wise navigation line extraction of cross-growth-stage seedlings in complex sugarcane fields and extension to corn and rice.tif by Hongwei Li (17402)

“…In response to such challenges, we proposed a generalizable navigation line extraction algorithm using classical image processing technologies. …”

Image 3_Pixel-wise navigation line extraction of cross-growth-stage seedlings in complex sugarcane fields and extension to corn and rice.tif by Hongwei Li (17402)

“…In response to such challenges, we proposed a generalizable navigation line extraction algorithm using classical image processing technologies. …”

Image 2_Pixel-wise navigation line extraction of cross-growth-stage seedlings in complex sugarcane fields and extension to corn and rice.tif by Hongwei Li (17402)

“…In response to such challenges, we proposed a generalizable navigation line extraction algorithm using classical image processing technologies. …”

Historical forest aboveground biomass carbon storage (HFCS) dataset by Jinlong Chen (20554607)

“…By continuously adjusting the velocity and position of particles using the Particle Swarm Optimization algorithm, we obtained the optimal RF model with optimal model parameters as follows: a number of decision trees of 195, a maximum depth of 10 for each decision tree, a number of features of 12 to consider when looking for the best split, minimum number of samples of 4 required to split an internal node, and a minimum number of samples of 3 required to be at a leaf node.…”

An open-pit mine segmentation dataset for deep learning by Lin Gang (18600526)

“…It enables researchers and practitioners in the field of deep learning to have a reliable and accurate dataset at their disposal, facilitating the development of more effective algorithms and applications for understanding and analyzing the characteristics and patterns of open-pit mines, which can have significant implications for mine management, safety monitoring, and resource optimization in the open-pit mining industry.…”

DataSheet1_Enhancing slope stability prediction through integrated PCA-SSA-SVM modeling: a case study of LongLian expressway.docx by Jianxin Huang (11944014)

“…PCA effectively reduces data dimensionality while retaining critical information. SSA optimizes SVM parameters, addressing the limitations of traditional optimization methods. …”

Table 1_An interpreting machine learning models to predict amputation risk in patients with diabetic foot ulcers: a multi-center study.doc by Haoran Tao (8466261)

“…</p>Conclusion<p>The XGBoost algorithm-based prediction model can be used to dynamically estimate the risk of LEA in DFU patients, making it a valuable tool for preventing the progression of DFUs to amputation.…”

Presentation1_Increased Confidence in Deduplication of Drug Safety Reports with Natural Language Processing of Narratives at the US Food and Drug Administration.pdf by Kory Kreimeyer (12876062)

“…Duplication has important negative implications for data analysis. We improved and optimized an existing deduplication algorithm that used both structured and free-text data, developed a web-based application to support data processing, and conducted a 6-month dedicated evaluation to assess the potential operationalization of the deduplication process in the FDA. …”

Deep reinforcement learning for static noisy state feedback control with reward estimation by Ran Wang (169166)

“…To this end, we establish a reward estimation-based DRL algorithm to evaluate the long-term reward and learn a static (memoryless) noisy state feedback (SNSF) policy under additional assumptions. …”