Results 71 to 80 of about 102,648 (335)

Intelligent Maintenance Review for Robots: Multimodal Information, Deep Diagnosis and Embodied Artificial Intelligence

Advanced Robotics Research, EarlyView.
This review maps the methods to monitor robots’ health by fusing vibration, sound, control signals, vision, force, and oil information with artificial intelligence. It identifies deep learning, transfer learning, digital twins, and physics‐informed models as key methodological pathways enabling earlier diagnosis, safer human–robot collaboration, and ...
Yuting Qiao, Hongbo Wang, Naipeng Li, Shuo Wang, Yaguo Lei, Tonghai Wu, Junyi Cao   +6 more
wiley   +1 more source

Multi‐Enzyme Mimetic Molybdenum Nitride Nanozymes Reshape Subgingival Microenvironment for Synergistic Periodontitis Therapy via ROS Regulation and Microbiome Remodeling

Advanced Science, EarlyView.
ABSTRACT Periodontitis, a chronic inflammatory disease initiated and sustained by plaque microorganisms and host immune response, remains an intractable oral disease and a leading cause of tooth loss worldwide. Traditional mechanical debridement and adjunctive antibiotic or antiseptic therapy often shows limited efficacy due to the complex anatomical ...
Weiyu Zhang, Zhongwei Yang, Yunfan Zhang, Longwei Wang, Xiaoyu Zhang, Jiahui Mao, Yizhi Dai, Yifan Yuan, Mingge Wang, Xin Yang, Xin Yu, Jing Liu, Chunying Chen   +12 more
wiley   +1 more source

Exploiting machine learning to tackle peculiar consumption of electricity in power grids: A step towards building green smart cities

IET Generation, Transmission & Distribution
The increasing demand for electricity in daily life highlights the need for Smart Cities (SC) to use energy efficiently. Both technical and Non‐Technical Losses (NTL), particularly those resulting from electricity theft, present powerful obstacles; NTL ...
Arshid Ali, Laiq Khan, Nadeem Javaid, Muhammad Aslam, Abdulaziz Aldegheishem, Nabil Alrajeh   +5 more
doaj   +1 more source

Classification Of Direction Using Naive Bayes Classifier Method (Case Study Of Hidayatul Islam Leces Vocational School)

Journal of Electrical Engineering and Computer
— Determining student majors is an important process in the world of education that can affect students' future. In this thesis, we conducted a study on determining student majors using the Naive Bayes Classifier algorithm at SMK Hidayatul Islam.
Dwi Yanto, Heri Susanto, Ninanesia Rusdiana, Kiky Zulkifli   +3 more
doaj   +1 more source

Analysis of the Use of Background Distribution for Naive Bayes Classifiers

Journal of Intelligent Systems, 2019
The naive Bayes classifier is a popular classifier, as it is easy to train, requires no cross-validation for parameter tuning, and can be easily extended due to its generative model. Moreover, recently it was shown that the word probabilities (background
Andrade Daniel, Tamura Akihiro, Tsuchida Masaaki   +2 more
doaj   +1 more source

Breast Cancer Detection Using Ensemble Classifiers for Accuracy Improvement [PDF]

مدیریت مهندسی و رایانش نرم, 2023
Early diagnosis of breast cancer plays a crucial role in treating the patient. Nowadays, data mining algorithms can provide intelligent methods in the health and treatment system that accurately detect breast cancer.
Mahboubeh Shamsi, Mohadaseh Karimian, Marziyeh Karimian   +2 more
doaj  

Exponential Loss Minimization for Learning Weighted Naive Bayes Classifiers

IEEE Access, 2022
The naive Bayesian classification method has received significant attention in the field of supervised learning. This method has an unrealistic assumption in that it views all attributes as equally important.
Taeheung Kim, Jong-Seok Lee
doaj   +1 more source

A Novel Fuzzy Linguistic Fusion Approach to Naive Bayes Classifier for Decision Making Applications [PDF]

, 2020
Naive Bayes is one of the most widely used classifier algorithms in various data mining problems. The performance of the Naïve Bayes Classifier is comparable to other classifiers as it yields impressive results in multiple applications.
Elayidom M., Sudheep; Department of Computer Science & Engineering, Cochin University of Science & Technology, Kochi, Kerala-682022, India., Femina, Bahari T.; Department of Computer Science & Engineering, Cochin University of Science & Technology, Kochi, Kerala-682022, India.   +1 more
core   +1 more source

Machine‐Learning Microfluidic Minute‐Scale Microorganism Metrics Monitoring(M6)

Advanced Science, EarlyView.
ABSTRACT On‐site monitoring of microorganisms remains challenging because of low concentrations, strong background interference, and dynamic aerosol diffusion, particularly for aerosol‐transmitted pathogens. Here, we report a rapid detection platform that integrates a Puri‐focusing microfluidic chip, electrochemical impedance spectroscopy (EIS), and ...
Ning Yang, Jiahao Ding, Si Chen, Lijie Yan, Shichao Ding, Lavonda Li, Junyi Sun, Haodong Liu, Tongge Li, Ning Liu, Mingji Wei, Xiaoyong Zhu, Xiaobo Zou, Shouqi Yuan, Xingcai Zhang   +14 more
wiley   +1 more source

Naive Bayes Classifier Based Partitioner for MapReduce

IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, 2018
MapReduce is an effective framework for processing large datasets in parallel over a cluster. Data locality and data skew on the reduce side are two essential issues in MapReduce. Improving data locality can decrease network traffic by moving reduce tasks to the nodes where the reducer input data is located.
CHEN, Lei, LU, Wei, BAO, Ergude, WANG, Liqiang, XING, Weiwei, CAI, Yuanyuan   +5 more
openaire   +2 more sources