Image 2_Single-cell sequencing uncovers the mechanistic role of DAPK1 in glioma and its diagnostic and prognostic implications.jpeg حسب Tian-Hang Yu (17772066)

"…Prognostic models were developed using LASSO and stepwise regression algorithms. …"

Image 1_Single-cell sequencing uncovers the mechanistic role of DAPK1 in glioma and its diagnostic and prognostic implications.jpeg حسب Tian-Hang Yu (17772066)

"…Prognostic models were developed using LASSO and stepwise regression algorithms. …"

NWB2024_AI for extracting references from footnotes حسب Przemyslaw Korytkowski (4671652)

"…As a result, the achievements of researchers who commonly place references only in footnotes, such as in the social sciences and humanities (SSH), are not adequately visible and appreciated. Developing AI based algorithms for automatically extracting citations from footnotes can reveal the achievements of the humanities and social sciences in real terms.…"

Supplementary file 1_Identification of glycolysis-related clusters and immune cell infiltration in hepatic fibrosis progression using machine learning models and experimental valid... حسب Guanglin Xiao (18113302)

"…This investigation systematically identified molecular signatures of glycolysis-related genes (GRGs) in HF. We further developed a glycolytic activity-based model for HF risk stratification.…"

SynthSoM: A synthetic intelligent multi-modal sensing-communication dataset for Synesthesia of Machines (SoM) حسب Xiang Cheng (20496924)

"…Based on the developed platform, a new synthetic intelligent multi-modal sensing-communication dataset for Synesthesia of Machines (SoM), named SynthSoM, is proposed. …"

Table 3_Predictive modeling of acute radiation-induced dermatitis in nasopharyngeal carcinoma patients undergoing tomotherapy using machine learning with multimodal data integratio... حسب Jiabiao Hong (22354900)

"…These models were built based on clinical, radiomic, dosiomic, and combined feature sets. …"

Table 1_Predictive modeling of acute radiation-induced dermatitis in nasopharyngeal carcinoma patients undergoing tomotherapy using machine learning with multimodal data integratio... حسب Jiabiao Hong (22354900)

"…These models were built based on clinical, radiomic, dosiomic, and combined feature sets. …"

Images used for phone sensor quantification. حسب Nidhi Menon (13010703)

"…This paper presents an image color correction pipeline developed by HueDx, Inc., using transfer algorithms that improve upon existing methodologies and demonstrates real-world applications of this pipeline in colorimetric clinical chemistry using a smartphone enabled, paper-based total protein diagnostic assay. …"

Table 2_Predictive modeling of acute radiation-induced dermatitis in nasopharyngeal carcinoma patients undergoing tomotherapy using machine learning with multimodal data integratio... حسب Jiabiao Hong (22354900)

"…These models were built based on clinical, radiomic, dosiomic, and combined feature sets. …"

Image 1_Interplay between noise-induced sensorineural hearing loss and hypertension: pathophysiological mechanisms and therapeutic prospects.png حسب Carola Y. Förster (11595118)

"…Recent advances in neuromodulation and vector-based approaches offer hope for overcoming biological barriers such as the BLB in the development of innovative treatments. …"

Table 1_Prediction of time averaged wall shear stress distribution in coronary arteries’ bifurcation varying in morphological features via deep learning.docx حسب Mohammad Hossein Sarkhosh (20822072)

"…Afterward, we design a CNN-based U-net architecture to predict TAWSS by the point cloud of the geometries. …"

Adjacency Matrix Decomposition Clustering for Human Activity Data حسب Martha Barnard (7450217)

"…Our technique is substantially faster than conventional methods based on computing pairwise distances via sequence alignment algorithms and also enhances interpretability of results. …"

Supplementary file 1_A risk prediction system for depression in middle-aged and older adults grounded in machine learning and visualization technology: a cohort study.docx حسب Jinsong Du (8634642)

"…</p>Methods<p>Using cohort data from the China Health and Retirement Longitudinal Study (CHARLS), involving 8,839 middle-aged and older adult participants, the study developed predictive models based on eight machine learning algorithms, primarily including LightGBM, XGBoost, and AdaBoost. …"

Data Sheet 1_Artificial intelligence-assisted delineation for postoperative radiotherapy in patients with lung cancer: a prospective, multi-center, cohort study.docx حسب Ziming Han (19926057)

"…Recently, deep learning-based artificial intelligent (AI) algorithms have shown promise in automating this process.…"

From GIS to HBIM and Back: Multiscale Performance and Condition Assessment for Networks of Public Heritage Buildings and Construction Components حسب Teresa Fortunato (21076099)

"…GIS-BIM data exchange routines by programming codes and algorithms are developed in Python. Dynamo “As-built” and “as-damaged” HBIM models are integrated in GIS environment multi-data seismic vulnerability assessment</p>…"

Supplementary materials for PhD thesis - "Ontology mapping with intelligent agents on the Semantic Web : the theory and practice of agent belief and consenus building" حسب Miklos Nagy (22007560)

"…<br><br>A series of algorithms have been developed in order to validate the proposed theory on how to approach domain independence in the ontology mapping process. …"

The visual interface of the simulation platform. حسب Yi Fei (5067731)

"…Taking toll plaza diverging area as an example, this study proposes a lateral motion strategy for AVs based on deep reinforcement learning (DRL) algorithms. …"

Illustration of surrounding environment. حسب Yi Fei (5067731)

"…Taking toll plaza diverging area as an example, this study proposes a lateral motion strategy for AVs based on deep reinforcement learning (DRL) algorithms. …"

Illustration of framework. حسب Yi Fei (5067731)

"…Taking toll plaza diverging area as an example, this study proposes a lateral motion strategy for AVs based on deep reinforcement learning (DRL) algorithms. …"

Average reward variation of three models. حسب Yi Fei (5067731)

"…Taking toll plaza diverging area as an example, this study proposes a lateral motion strategy for AVs based on deep reinforcement learning (DRL) algorithms. …"