Results 111 to 120 of about 156,082 (279)

Tensorized Consensus Graph Learning for Incomplete Multi-View Clustering with Confidence Integration

Applied Sciences
Graph-based multi-view clustering has gained significant attention in recent years due to its superior ability to reveal clustering structures. However, existing methods often incur high computational costs when capturing local information and overlook ...
Guangqi Jiang, Huijie Jiang, Wangjie Chen, Zijie Chen   +3 more
doaj   +1 more source

Atomic Defects in Layered Transition Metal Dichalcogenides for Sustainable Energy Storage and the Intelligent Trends in Data Analytics

Advanced Science, EarlyView.
This review comprehensively summarizes the atomic defects in TMDs for their applications in sustainable energy storage devices, along with the latest progress in ML methodologies for high‐throughput TEM data analysis, offering insights on how ML‐empowered microscopy facilitates bridging structure–property correlation and inspires knowledge for precise ...
Zheng Luo, Ying Yang, Zizhen Fu, Fengqi Liu, Susu Fang, Kele Xu, Shanshan Wang   +6 more
wiley   +1 more source

Ensemble One-Class Support Vector Machine for Sea Surface Target Detection Based on k-Means Clustering

Remote Sensing
Sea surface target detection is a key stage in a typical target detection system and directly influences the performance of the whole system. As an effective discriminator, the one-class support vector machine (OCSVM) has been widely used in target ...
Shichao Chen, Xin Ouyang, Feng Luo
doaj   +1 more source

Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy

Advanced Science, EarlyView.
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu, Mengtao Sun, Lusheng Li, Jieqiong Wang, Shibiao Wan   +4 more
wiley   +1 more source

Stress History Establishes a Transient Tolerant State That Shapes Antibiotic Survival Upon Resuscitation

Advanced Science, EarlyView.
High‐throughput single‐cell analysis of resuscitating bacteria reveals a starvation‐history‐dependent transiently tolerant subpopulation that survives β$\beta$‐lactam exposure by temporarily reducing growth. Distinct from classical persisters, these actively growing yet dynamically modulated cells dominate survival across clinically relevant antibiotic
Kieran Abbott, Georgeos Hardo, Ruizhe Li, Jack Bradley, Ashraf Zarkan, Somenath Bakshi   +5 more
wiley   +1 more source

COPS: A novel platform for multi-omic disease subtype discovery via robust multi-objective evaluation of clustering algorithms.

PLoS Computational Biology
Recent research on multi-view clustering algorithms for complex disease subtyping often overlooks aspects like clustering stability and critical assessment of prognostic relevance.
Teemu J Rintala, Vittorio Fortino
doaj   +1 more source

A novel machine learning-based model for predicting the transition fatigue lifetime in piston aluminum alloys

International Journal of Lightweight Materials and Manufacture
The estimation of transition fatigue lifetimes for piston aluminum alloys was carried out using unsupervised machine learning (ML) with the K-means algorithm.
Mahmood Matin, Mohammad Azadi
doaj   +1 more source

Mapping the “Supply–Demand–Flow” of Ecosystem Services for Ecosystem Management in China

Advanced Science, EarlyView.
This study develops a “supply–demand–flow” framework clarifies how ecosystem services move between regions by distinguishing potential and actual supply and demand. Using integrated biophysical–socioeconomic modeling, nine services in China were mapped.
Yikun Zhang, Yadong Yang, Yongsheng Wang, Guirui Yu   +3 more
wiley   +1 more source

Unveiling a Bulk WTaV Multicomponent Alloy With Superior Thermal Properties and Manufacturability

Advanced Science, EarlyView.
ABSTRACT Many tungsten (W)‐based medium and high entropy alloys (HEA) demonstrate superior microstructural stability and enhanced mechanical properties as compared to pure W, effectively rendering them as viable candidate materials for extreme environments such as nuclear fusion, aerospace applications, and so on.
Ishtiaque K. Robin, Skye N. Supakul, Shalini Tripathi, Eda Aydogan, Matthew T. Vigil, Caleb Hatler, Bochuan Sun, Akshay Korpe, Enrique Martinez, Saryu J. Fensin, Dan J. Thoma, Osman El‐Atwani   +11 more
wiley   +1 more source

Towards Multiple Kernel Principal Component Analysis for Integrative Analysis of Tumor Samples

Journal of Integrative Bioinformatics, 2017
Personalized treatment of patients based on tissue-specific cancer subtypes has strongly increased the efficacy of the chosen therapies. Even though the amount of data measured for cancer patients has increased over the last years, most cancer subtypes ...
Speicher Nora K., Pfeifer Nico
doaj   +1 more source