Results 51 to 60 of about 371,575 (291)

Pendekatan Metode Ensemble Learning untuk Prakiraan Cuaca menggunakan Soft Voting Classifier

Journal of Applied Computer Science and Technology
Weather conditions are one of the crucial factors that need attention. Changes in weather conditions significantly impact various activities. Weather condition changes are determined by numerous factors, often occurring within a relatively short period ...
Steven Joses, Donata Yulvida, Siti Rochimah   +2 more
doaj   +1 more source

Analisis Sentimen Pindah Ibu Kota Berbasis Naive Bayes Classifier

Jurnal informatika UPGRIS, 2021
Perkembangan media sosial memudahkan pengguna dalam percepatan akses informasi di internet. Akses informasi yang awalnya sulit diperoleh begitu mudah sekarang ini.
Primandani Arsi, Bagus Adhi Kusuma, Azizan Nurhakim   +2 more
doaj   +1 more source

Artificial Intelligence‐Guided Phenotypic Drug Repurposing Against Streptococcus pneumoniae

Advanced Science, EarlyView.
Integrated artificial intelligence (AI) ensembles identify highly potent repurposed drugs against Streptococcus pneumoniae. Prospective virtual screening of 6747 drugs uncovers nine active candidates, including thiostrepton. This drug exhibits low picomolar potency and bypasses established resistance in multidrug‐resistant strains, demonstrating an ...
Joshua S. Fitch, Muhammad D. Ariadi, Min Jung Kwun, Leonie Howells, Saiveth Hernandez‐Hernandez, Nicholas J. Croucher, Pedro J. Ballester   +6 more
wiley   +1 more source

Energy optimization for wireless sensor network using minimum redundancy maximum relevance feature selection and classification techniques [PDF]

PeerJ Computer Science
In wireless sensor networks (WSN), conserving energy is usually a basic issue, and several approaches are applied to optimize energy consumption. In this article, we adopt feature selection approaches by using minimum redundancy maximum relevance (MRMR ...
Muteeah Aljawarneh, Rim Hamdaoui, Ahmed Zouinkhi, Someah Alangari, Mohamed Naceur Abdelkrim   +4 more
doaj   +2 more sources

TSTScope Unifies Single‐Cell Multi‐Omics to Identify Functional T Cell States Predictive of Immunotherapy Response

Advanced Science, EarlyView.
TSTScope is an interpretable AI framework that integrates single‐cell transcriptomes with TCR information through curated gene‐program constraints. By linking receptor context to functional T cell states, it reveals response‐associated tumor‐specific T cell programs in lung cancer immunotherapy cohorts and defines an MPR score associated with ...
Shiwei Cao, Jinyu Cheng, Feng‐ao Wang, Chenxin Yi, Jiajun Chen, Keyue Wang, Lulu Liu, Junwei Liu, Yixue Li   +8 more
wiley   +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  

Biochemically Constrained Multi‐Omics Integration Reveals Protein–Metabolite Dependencies Across Diseases

Advanced Science, EarlyView.
ProMetNet introduces a biologically constrained deep learning framework for proteo‐metabolomic integration by embedding Reactome‐derived pathway topology into neural networks. It captures non‐linear molecular dependencies and pathway‐level metabolic reorganization, enabling interpretable discrimination.
Minghui Zhao, Na Zhou, Ruotong Liu, Xiaofei Li, Jian Li, Fuzhong Xue, Qingzhen Hou   +6 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