Results 131 to 140 of about 810,976 (388)

Advances in Thermal Modeling and Simulation of Lithium‐Ion Batteries with Machine Learning Approaches

Advanced Intelligent Discovery, EarlyView.
Heat generation in lithium‐ion batteries affects performance, aging, and safety, requiring accurate thermal modeling. Traditional methods face efficiency and adaptability challenges. This article reviews machine learning‐based and hybrid modeling approaches, integrating data and physics to improve parameter estimation and temperature prediction ...
Qi Lin, Kang Fu, Junjie Ding, Kai Sun, Peng Tan   +4 more
wiley   +1 more source

Patient‐Reported Outcomes with Selpercatinib Treatment Among Patients with RET‐Mutant Medullary Thyroid Cancer in the Phase I/II LIBRETTO‐001 Trial

The Oncologist, EarlyView., 2021
Abstract Background Medullary thyroid cancer (MTC) standard of care includes multikinase inhibitors (MKIs), which can exacerbate disease‐related diarrhea, primarily because of non‐RET kinase inhibition. We report diarrhea and other patient‐reported outcomes (PROs) with selpercatinib, a highly selective RET inhibitor, among patients with RET‐mutant MTC ...
Lori J. Wirth, Bruce Robinson, Valentina Boni, Daniel S.W. Tan, Caroline McCoach, Erminia Massarelli, Lisa M. Hess, Min‐Hua Jen, Jennifer Kherani, Elizabeth Olek, Vivek Subbiah   +10 more
wiley   +1 more source

Development of extraction features for Detecting Adolescent Personality with Machine Learning Algorithms

JOIV: International Journal on Informatics Visualization
This study aims to develop a Natural Language Processing (NLP)-based feature extraction algorithm optimized for personality type classification in adolescents.
Irzal Arief Wisky, Sarjon Defit, Gunadi Widi Nurcahyo   +2 more
doaj   +1 more source

Toward Predictable Nanomedicine: Current Forecasting Frameworks for Nanoparticle–Biology Interactions

Advanced Intelligent Discovery, EarlyView.
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova, Michael Nicholls, Nicola Russo, Gueorgui Mihaylov, Konstantin Nikolic   +4 more
wiley   +1 more source

Analisis Sentimen Ulasan Game Stumble Guys Pada Playstore Menggunakan Algoritma Naïve Bayes

Teknika
Perkembangan teknologi yang pesat mempermudah akses ke berbagai hiburan digital, termasuk game online seperti Stumble Guys, yang telah diunduh lebih dari 163 juta kali dan mendapatkan ulasan beragam di Google Play Store.
Awang Herjunie Nurdy, Abdul Rahim, Arbansyah   +2 more
doaj   +1 more source

Klasifikasi Data NAP (Nota Analisis Pembiayaan) untuk Prediksi Tingkat Keamanan Pemberian Kredit (Studi Kasus : Bank Syariah Mandiri Cabang Luwuk Sulawesi Tengah)

IJCCS (Indonesian Journal of Computing and Cybernetics Systems), 2015
Abstrak Setiap bulannya bank syariah mandiri cabang luwuk menerima proposal kredit (NAP) dari nasabah dalam jumlah yang terus meningkat dan perlu respon yang cepat.
Sumarni Adi, Edi Winarko
doaj   +1 more source

Absolute Correlation Weighted Naïve Bayes for Software Defect Prediction [PDF]

, 2015
The maintenance phase of the software project can be very expensive for the developer team and harmful to the users because some flawed software modules. It can be avoided by detecting defects as early as possible. Software defect prediction will provide
Asmono, R. T. (Rizky), Syukur, A. (Abdul), Wahono, R. S. (Romi)   +2 more
core  

From Droplet to Diagnosis: Spatio‐Temporal Pattern Recognition in Drying Biofluids

Advanced Intelligent Systems, EarlyView.
This article integrates machine learning (ML) with the spatio‐temporal evolution of biofluid droplets to reveal how drying and self‐assembly encode distinctive compositional fingerprints. By leveraging textural features and interpretable ML, it achieves robust classification of blood abnormalities with over 95% accuracy.
Anusuya Pal, Amalesh Gope, Miho Yanagisawa   +2 more
wiley   +1 more source

Classifying with the Fine Structure of Distributions: Leveraging Distributional Information for Robust and Plausible Naïve Bayes

Machine Learning and Knowledge Extraction
In machine learning, the Bayes classifier represents the theoretical optimum for minimizing classification errors. Since estimating high-dimensional probability densities is impractical, simplified approximations such as naïve Bayes and k-nearest ...
Quirin Stier, Jörg Hoffmann, Michael C. Thrun   +2 more
doaj   +1 more source

Penerapan Data Mining Classification untuk Prediksi Perilaku Pola Pembelian terhadap Waktu Transaksi Menggunakan Metode Naïve Bayes [PDF]

, 2015
Data Mining adalah cabang ilmu baru untuk mengatasi masalah penggalian informasi atau pola yang penting dari data dalam jumlah yang besar. Jumlah pembeli memiliki pengaruh yang besar terhadap transaksi penjualan.
Mulyani, E. D. (Evi), Nurhasanah, I. R. (Irma), Susanto, S. (Susanto)   +2 more
core