Results 51 to 60 of about 150,441 (331)

LHC signals of a heavy doublet Higgs as dark matter portal: cut-based approach and improvement with gradient boosting and neural networks

, 2019
Though the 125-GeV scalar, as the Higgs boson of the standard model, is disfavoured as a dark matter portal by direct searches and the observations on relic density, a heavier scalar in an extended electroweak sector can fit into that role.
Dey, Atri, Lahiri, Jayita, Mukhopadhyaya, Biswarup   +2 more
core   +1 more source

Stabilization of Single Metal Atoms on Graphitic Carbon Nitride: Synthetic Strategies and Emerging Applications

Advanced Science, EarlyView.
This review highlights recent advancements in stabilizing single metal atoms on graphitic carbon nitride emphasizing innovative synthesis strategies and emerging applications in electrocatalysis, photocatalysis and organic transformations, along with key challenges and future perspective. Abstract Emerging as a new frontier in catalysis science, single‐
Wenyao Zhang, Junjie Cui, Zhenjie Yao, Boyuan Zhu, Nithinraj Panangattu Dharmarajan, Ajayan Vinu, Junwu Zhu   +6 more
wiley   +1 more source

Comparative Study of Linear Regression, SVR, and XGBoost for Stock Price Prediction After a Stock Split

Journal of Applied Informatics and Computing
This study aims to identify the most effective regression method for predicting the closing stock price of Bank Central Asia (BBCA) following the stock split event on October 12, 2021.
Muhammad Yusuf Andrika, Majid Rahardi
doaj   +1 more source

Auto Insurance Tenure Prediction and Analysis [PDF]

, 2020
The purpose of this project is to understand the main factors that drive customer tenure within auto insurance industry for six or more years. The analysis is based on three years of the J.D. Power Auto Insurance survey data.
Chen, Yi
core  

Multicohort Validation of Gut Microbiome Signatures for Cholangiocarcinoma Diagnosis and Functional Characterization of Bifidobacterium Pseudocatenulatum

Advanced Science, EarlyView.
This study analyzes gut bacteria in cholangiocarcinoma patients, revealing distinct microbial signatures that enable accurate disease detection. Species‐based diagnostic models achieved over 98% accuracy in identifying cholangiocarcinoma and distinguished it from other liver diseases. The research demonstrates that specific beneficial bacteria suppress
Benchen Rao, Jianwen Jiang, Ruiqing Zhang, Dongya Zhang, Chenchen Zhang, Ang Li, Haifeng Lu, Hua Zhang, Lin Zhou, Wenzhi Guo, Peihao Wen, Jianfeng Xue, Jie Pan, Tuerganaili Aji, Zhou Lan, Xianzhi Jiang, Shusen Zheng, Zujiang Yu, Zhigang Ren   +18 more
wiley   +1 more source

Anemia Classification with Clinical Feature Engineering and SHAP Interpretation

Journal of Applied Informatics and Computing
Anemia is a global health issue that has a significant impact on quality of life and productivity. Early and accurate detection is essential to prevent more serious complications. This study aims to develop an anemia classification model based on machine
Ikhlasul Amalia, Rumini Rumini
doaj   +1 more source

Tree-based Intelligent Intrusion Detection System in Internet of Vehicles

, 2019
The use of autonomous vehicles (AVs) is a promising technology in Intelligent Transportation Systems (ITSs) to improve safety and driving efficiency. Vehicle-to-everything (V2X) technology enables communication among vehicles and other infrastructures ...
Hamieh, Ismail, Moubayed, Abdallah, Shami, Abdallah, Yang, Li   +3 more
core   +1 more source

Developing Children's Oral Health Assessment Toolkits Using Machine Learning Algorithm. [PDF]

, 2020
ObjectivesEvaluating children's oral health status and treatment needs is challenging. We aim to build oral health assessment toolkits to predict Children's Oral Health Status Index (COHSI) score and referral for treatment needs (RFTN) of oral health ...
Coulter, ID, Crall, JJ, Hays, RD, Lee, SY, Liu, H, Maida, CA, Marcus, M, Shen, J, Spolsky, VW, Wang, Y, Xiong, D   +10 more
core  

Long‐Tea‐CLIP: An Expert‐Level Multimodal AI Framework for Fine‐Grained Green Tea Grading Across Five Sensory Dimensions

Advanced Science, EarlyView.
Long‐Tea‐CLIP (Contrastive Language‐Image Pre‐training) presents a multimodal AI framework that integrates visual, metabolomic, and sensory knowledge to grade green tea across appearance, soup color, aroma, taste, and infused leaf. By combining expert‐guided modeling with CLIP‐supervised learning, the system delivers fine‐grained quality evaluation and
Yanqun Xu, Zhengfang Xue, Qing Luo, Xu Liu, Yongquan Xu, Jing Huang, Xingcai Zhang, Xinyuan Zhang, Zhonghua Liu, Zisheng Luo   +9 more
wiley   +1 more source

Artificial intelligence enabled microgrid power generation prediction

Open Computer Science
The rapidly increasing photovoltaic (PV) technology is one of the key renewable energies expected to mitigate the impact of climate change and the energy crisis, which has been widely installed in the past few years.
Wang Xueyi, Li Shancang, Iqbal Muddesar
doaj   +1 more source