Machine Learning–Enhanced Fluorescence Cryptography with NADH‐Responsive Polymer Dots
ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.This study presents a smart anticounterfeiting system using semiconducting polymer dots (Pdots) that exhibit tunable fluorescence responses to NADH. By integrating these dynamic optical signals with machine learning–based decoding, the work establishes a secure and intelligent encryption platform, showing a novel strategy that links chemical sensing ...
Zhengkun Zhan +7 more
wiley +1 more source
CAPTBHA: COMPLETELY AUTOMATED PROOF-OF-CONCEPT TEST TO TELL BOT AND HUMAN APART IMPLEMENTATION OF BOT DETECTION TECHNIQUE BASED ON WEB NAVIGATION BEHAVIOUR IN JACK-MAPS [PDF]
, 2012 CAPTBHA: COMPLETELY AUTOMATED PROOF-OF-CONCEPT TEST TO TELL BOT AND HUMAN APART IMPLEMENTATION OF BOT DETECTION TECHNIQUE BASED ON WEB NAVIGATION BEHAVIOUR IN JACK-MAPS - Bot detection, web navigation behavior, link obfuscation, Support Vector Machine ...
Adi, Erwin +1 more
core
Prediction of Reproductive System Affectation in Sprague Dawley Rats by Food Intake Exposed with Fenthion, Using Naïve Bayes Classifier and Genetic Algorithms [PDF]
, 2017 Juan Sandino, Darío Amaya, Olga Ramos
openalex +1 more source
ESC Heart Failure, Volume 12, Issue 2, Page 1326-1335, April 2025.Abstract Aims Amyloid cardiomyopathy is caused by the deposition of light chain (AL) or transthyretin amyloid (ATTR) fibrils, that leads to a restrictive cardiomyopathy, often resulting in heart failure (HF) with preserved or reduced ejection fraction.
Robin Willixhofer +25 more
wiley +1 more source
KLASIFIKASI CALON PENDONOR DARAH MENGGUNAKAN METODE NAÏVE BAYES CLASSIFIER (STUDI KASUS : Calon Pendonor Darah di Kota Semarang) [PDF]
, 2017 Classification is the process of finding a model or function that describes and distinguishes data classes or concepts, for the purpose of being able to use the model to predict the class of objects whose class label is unknown.
BAYUSUSETYO, DHIMAS
core
AI‐based localization of the epileptogenic zone using intracranial EEG
Epilepsia Open, EarlyView.Abstract Artificial intelligence (AI) is rapidly transforming our lives. Machine learning (ML) enables computers to learn from data and make decisions without explicit instructions. Deep learning (DL), a subset of ML, uses multiple layers of neural networks to recognize complex patterns in large datasets through end‐to‐end learning.
Atsuro Daida +5 more
wiley +1 more source
PERBANDINGAN METODE NAÃVE BAYES, KNN, DECISION TREE PADA LAPORAN WATER LEVEL JAKARTA
Jurnal Ilmiah Infokam, 2019 Tujuan dari penelitian ini adalah membandingkan antara metode Naivebayes, KNN, Decision Tree. Dimana data dari penelitan adalah data set laporan ketinggian air di Jakarta berasal dari data.go.id, pada penelitian ini akan diukur confusion matrix, precision, recall, accuracy, hingga f-measure kemudian juga dihitung root mean squere error dari tiap-tiap
openaire +1 more source
Perbandingan Metode Klasifikasi Naïve Bayes Dan Jaringan Saraf Tiruan
, 2021 Hesti Ardyanti +2 more
openalex +2 more sources
Real-time Machine Learning Control for Robotic Manipulator by LNB: Lion Naïve Bayes Algorithm [PDF]
, 2021 M. Hassan Tanveer, Rupam Gupta Roy
openalex +1 more source