Results 201 to 210 of about 6,303,129 (314)

Robust crowd anomaly detection via hybrid ensemble learning for real-world surveillance. [PDF]

Sci Rep
Mabrouk D, Abdel-Fattah MA, Taha A.
europepmc   +1 more source

Total Neoadjuvant Therapy for Rectal Cancer: Why Japan Says “Not Yet”

Annals of Gastroenterological Surgery, EarlyView.
ABSTRACT Total neoadjuvant therapy (TNT) has rapidly gained global acceptance as a standard treatment for locally advanced rectal cancer (LARC). Supported by multiple phase III trials, TNT improves pathological complete response (pCR) rates, enhances systemic control, and expands opportunities for non‐operative management (NOM).
Kay Uehara, Akihisa Matsuda, Takeshi Yamada, Aitsariya Monkhonsupphawan, Hiroshi Yoshida   +4 more
wiley   +1 more source

Enhancing urban traffic congestion prediction through efficientnet and optimized ensemble learning models. [PDF]

Sci Rep
Vatambeti R, Reddy NVR, Ibrahim SHS, Kocherla R, Shareef SK, Yerragudipadu S, Jagadesh BN.   +6 more
europepmc   +1 more source

Domain‐Aware Implicit Network for Arbitrary‐Scale Remote Sensing Image Super‐Resolution

Advanced Intelligent Discovery, EarlyView.
Although existing arbitrary‐scale image super‐resolution methods are flexible to reconstruct images with arbitrary scales, the characteristic of training distribution is neglected that there exists domain shift between samples of various scales. In this work, a Domain‐Aware Implicit Network (DAIN) is proposed to handle it from the perspective of domain
Xiaoxuan Ren, Qian Jiang, Xin Jin, Puming Wang, Xing Chu, Shaowen Yao, Shengfa Miao   +6 more
wiley   +1 more source

Ensemble Learning Framework for Anomaly Detection in Autonomous Driving Systems. [PDF]

Sensors (Basel)
Nazat S, Alayed W, Li L, Abdallah M.
europepmc   +1 more source

Feature Selection for Machine Learning‐Driven Accelerated Discovery and Optimization in Emerging Photovoltaics: A Review

Advanced Intelligent Discovery, EarlyView.
Feature selection combined with machine learning and high‐throughput experimentation enables efficient handling of high‐dimensional datasets in emerging photovoltaics. This approach accelerates material discovery, improves process optimization, and strengthens stability prediction, while overcoming challenges in data quality and model scalability to ...
Jiyun Zhang, Jiayi Tan, Qizhen Song, Tian Du, Jens Hauch, Christoph J. Brabec   +5 more
wiley   +1 more source

FADEL: Ensemble Learning Enhanced by Feature Augmentation and Discretization. [PDF]

Bioengineering (Basel)
Hung CS, Lin CR, Chen SH, Zheng YC, Yu CH, Hung CW, Huang TH, Tsai JH.   +7 more
europepmc   +1 more source

Decoding Tattoo and Permanent Makeup Pigments: Linking Physicochemical Properties to Absorption, Distribution, Metabolism, and Elimination Profiles Using Quantitative Structure–Activity Relationship (QSAR)‐Based New Approach Methodologies (NAMs)

Advanced Intelligent Discovery, EarlyView.
This study applies QSAR‐based new approach methodologies to 90 synthetic tattoo and permanent makeup pigments, revealing systemic links between their physicochemical properties and absorption, distribution, metabolism, and elimination profiles. The correlation‐driven analysis using SwissADME, ChemBCPP, and principal component analysis uncovers insights
Girija Bansod, Ajay Vikram Singh, Preeti Bhardwaj, Tulika Rai, Sweta Vijay Nakhale, Amruta Shelar, Rajendra Patil, Peter Laux, Andreas Luch, Christopher J. Osgood, Michael W. Stacey   +10 more
wiley   +1 more source

Tree-based ensemble learning models for protein-protein interactions detection: a review and experimental evaluation. [PDF]

BioData Min
Taha K.
europepmc   +1 more source

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

Advanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source