Boxplot of PLNMFG and other eight state-of-the-art algorithms measured by (a) ACC and (b) AMI on six real datasets. by Hui Yuan (402180)

Ablation experiment results of different algorithm models. by Peng Xiong (1459000)

Cosmos 1.0: a multidimensional map of the emerging technology frontier by Xian Gong (20610805)

Sub-criteria of technology. by Muhammad Abdullah (3357692)

REAL – Reimagining algorithmic futures: 63 cards for thinking differently about algorithmic systems by Tuukka Lehtiniemi (21469157)

“…The cards aim to stimulate thinking and conversations about the values embedded in algorithmic systems, as well as their social and technological implications. …”

Virtual Screening of Novel Eco-Friendly Gaseous Dielectrics through Dimensionless Bond Decomposition and Machine Learning Algorithm by Mi Zhang (42795)

“…The bond-based machine-learning algorithm is stable to both training and test sets within the leveraging applicability domains. …”

Figure 5 from Repurposing Vandetanib plus Everolimus for the Treatment of <i>ACVR1</i>-Mutant Diffuse Intrinsic Pontine Glioma by Diana M. Carvalho (5608127)

Figure 2 from DeePathNet: A Transformer-Based Deep Learning Model Integrating Multiomic Data with Cancer Pathways by Zhaoxiang Cai (20445441)

Wireless Passive Flexible Radio Frequency Tactile Sensor for Material Recognition by Enkang Wu (21218890)

“…A noncontact intelligent material cognition system is established by combining WiRFTS with artificial intelligence algorithms, achieving 100% recognition accuracy for eight materials. …”

Subject characteristics. by Dominique Vincent-Genod (20552594)

Research data. by Dominique Vincent-Genod (20552594)

Experimental data set. by Jihong Sun (344786)

“…Given that machine learning algorithms often surpass the precision of remote sensing technology, further exploration of machine learning algorithms in the development of sugarcane yield prediction models is imperative. …”

Collection of experimental data (in cm). by Jihong Sun (344786)

“…Given that machine learning algorithms often surpass the precision of remote sensing technology, further exploration of machine learning algorithms in the development of sugarcane yield prediction models is imperative. …”

Raw data classification data table (in cm). by Jihong Sun (344786)

“…Given that machine learning algorithms often surpass the precision of remote sensing technology, further exploration of machine learning algorithms in the development of sugarcane yield prediction models is imperative. …”

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 by Jinsong Du (8634642)

“…This study innovatively proposed a visual risk prediction system for depressive symptoms and depression in middle-aged and older adults, rooted in machine learning and visualization technologies.</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. …”

Fig 3 - by Ryan J. Haasl (3259872)

Multi-Task Learning in Analyzing the Working capacity of MOFs by Junhui Kou (20327073)

Cell tracking improves integration quality over linear sum assignment. by Robert T. Heussner (21989911)

Decision-making algorithm for implementing a clinical pharmacy service in oncology. Algoritmo de tomada de decisão para implantação de um serviço de farmácia clínica em oncologia.... by Giuliano Cesar Silveira (21078053)

“…The structure is organized into eight thematic units—considered attributes of the algorithm's architecture—and 36 inference mechanisms. …”

<b>Measurement </b><b>m</b><b>ethod for </b><b>b</b><b>ogie </b><b>s</b><b>teel </b><b>s</b><b>pring </b><b>p</b><b>arameters </b><b>b</b><b>ased on 3D </b><b>s</b><b>tructured </b... by xinpeng shi (16710936)