Results 71 to 80 of about 303,008 (292)

DIAGNOSA PENYAKIT SALURAN PERNAPASAN DENGAN MENGGUNAKAN SUPPORT VECTOR MACHINE (SVM)

Barekeng, 2015
Support Vector Machine (SVM) telah banyak digunakan untuk membantu menyelesaikan berbagai macam permasalahan dalam rangka pengambilan keputusan berdasarkan pelatihan yang diberikan. Aplikasi SVM dapat diterapkan dalam berbagai bidang, salah satunya dalam
Zeth A. Leleury, Berny P. Tomasouw
doaj   +1 more source

A Hybrid Approach Support Vector Machine (SVM) – Neuro Fuzzy for Fast Data Classification [PDF]

, 2015
In recent decade, support vector machine (SVM) was a machine learning method that widely used in several application domains. It was due to SVM has a good performance for solving data classification problems, particularly in non-linear case. Nevertheless,
Apriliani, E. (Erna), Irawan, M. I. (M), Ronando, E. (Elsen)   +2 more
core  

Comparison of Support Vector Machine and Back Propagation Neural Network in Evaluating the Enterprise Financial Distress

, 2010
Recently, applying the novel data mining techniques for evaluating enterprise financial distress has received much research alternation. Support Vector Machine (SVM) and back propagation neural (BPN) network has been applied successfully in many areas ...
Lee, Ming-Chang, To, Chang
core   +1 more source

Support Vector Machine (Svm) Classification Through Geometry

, 2005
Publication in the conference proceedings of EUSIPCO, Antalya, Turkey ...
Mavroforakis, Michael, Theodoridis, S.
openaire   +1 more source

Fast Support Vector Machine Classification using linear SVMs [PDF]

18th International Conference on Pattern Recognition (ICPR'06), 2006
We propose a classification method based on a decision tree whose nodes consist of linear Support Vector Machines (SVMs). Each node defines a decision hyperplane that classifies part of the feature space. For large classification problems (with many Support Vectors (SVs)) it has the advantage that the classification time does not depend on the number ...
K.Z. Arreola, J. Fehr, H. Burkhardt
openaire   +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

Deep Brain Stimulation Induces Antidepressant Effects by Restoring High‐Fidelity Communication in the BNST‐NAc Circuit

Advanced Science, EarlyView.
This cross‐species study reveals that pathological hyperactivity of BNST neurons in depressive states disrupts inhibitory period and isolated spikes in the BNST‐NAc circuit. DBS achieves its antidepressant effects by precisely restoring network inhibitory periods and high‐fidelity signal transmission.
Xin Lv, Yu Cao, Yuhan Wang, Yunhao Wu, Yingying Zhang, Kuanghao Ye, Xian Qiu, Qingfang Sun, Liuguan Bian, Halimureti Paerhati, Valerie Voon, Shikun Zhan, Bomin Sun   +12 more
wiley   +1 more source

Klasifikasi Gelombang Otot Lengan Pada Robot Manipulator Menggunakan Support Vector Machine

Rekayasa, 2019
Teknologi robotika semakin berkembang. Banyak orang berinovasi untuk membantu aktivitas mereka, diantaranya membuat robot manipulator untuk mengambil barang di tempat berbahaya atau memindah barang dengan presisi yang sangat tinggi.
Muhammad Ja'far Ubaidillah, Ii Munadhif, Noorman Rinanto   +2 more
doaj   +1 more source

Manuscript Rainfall Prediction using Support Vector Machine (SVM)

INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT, 2023
In the course of this research, we conducted an examination that specifically aimed to predict hourly rainfall. The approach we adopted for this analysis treated the problem as a binary classification task, where we categorized rainfall events into two groups: "rainy" (considered the positive class) and "non-rainy" (designated as the negative class ...
openaire   +1 more source

Multimodal Wearable Biosensing Meets Multidomain AI: A Pathway to Decentralized Healthcare

Advanced Science, EarlyView.
Multimodal biosensing meets multidomain AI. Wearable biosensors capture complementary biochemical and physiological signals, while cross‐device, population‐aware learning aligns noisy, heterogeneous streams. This Review distills key sensing modalities, fusion and calibration strategies, and privacy‐preserving deployment pathways that transform ...
Chenshu Liu, Haolin Fan, Minwoo Kim, Tong Zhou, Pinyi Yang, Lingdi Zhao, Yiran Wang, Ziyuan Che, Chia‐Wei Liu, Bingbing Li, Yangzhi Zhu   +10 more
wiley   +1 more source