Results 51 to 60 of about 32,654 (268)

BGL-PhishNet: Phishing Website Detection Using Hybrid Model-BERT, GNN, and LightGBM

IEEE Access
Phishing attacks exploit human and technological vulnerabilities to steal sensitive information, posing a significant threat to online security. To address this challenge, this research introduces a new hybrid method for phishing detection using three ...
S. Remya, Manu J. Pillai, B. S. Aparna, Somula Rama Subbareddy, Yongyun Cho   +4 more
semanticscholar   +1 more source

Advanced User Credit Risk Prediction Model Using LightGBM, XGBoost and Tabnet with SMOTEENN [PDF]

2024 IEEE 6th International Conference on Power, Intelligent Computing and Systems (ICPICS)
Bank credit risk is a significant challenge in modern financial transactions, and the ability to identify qualified credit card holders among a large number of applicants is crucial for the profitability of a bank's credit card business.
Chang Yu, Yixin Jin, Qianwen Xing, Ye Zhang, Shaobo Guo, Shuchen Meng   +5 more
semanticscholar   +1 more source

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

Three Synchronized, Miniaturized, Wireless Inertial Measurement Unit Sensors for Automated Gait and Balance Analysis System

Advanced Intelligent Systems, EarlyView.
This study presents a compact, three IMU wearable system that enables accurate motion capture and robust gait‐feature extraction, thereby supporting reliable machine learning‐based balance evaluation. Accurate assessment of balance is critical for fall prevention and targeted rehabilitation, particularly in older adults and individuals with ...
Seok‐Hoon Choi, Ki‐Hoon Kim, Heung Jin Park, Yuna Kim, Hyunjin Lee, Yu Bin Lee, Youn Joung Kang, Sungchul Huh, Min‐Ho Seo   +8 more
wiley   +1 more source

Assessment of Stable Slopes Through BPSO-Driven Ensemble Models

Slovak Journal of Civil Engineering
This study explores a hybrid approach that combines BPSO with ensemble machine learning techniques to improve predictive accuracy in assessments of slope stability.
Anuragi Saurabh Kumar, Kishan D.
doaj   +1 more source

Assessment and Prediction of Typhoon-Related Direct Economic Loss in Fujian Province Based on LightGBM

Redai dili
Typhoons are among the most destructive natural disasters affecting China's coastal regions, often resulting in substantial economic loss and casualties.
Zhang Zhixia, Yang Jian, Chen Sixiao, Lin Sen   +3 more
doaj   +1 more source

Expedited Tensor Program Compilation Based on LightGBM

Journal of Physics: Conference Series, 2021
Abstract If the traditional deep learning framework needs to support a new operator, it usually needs to be highly optimized by experts or hardware vendors to be usable in practice, which is inefficient. The deep learning compiler has proved to be an effective solution to this problem, but it still suffers from unbearably long overall ...
Gonghan Liu, Yue Li, Xiaoling Wang
openaire   +1 more source

Integrating Artificial Intelligence With Droplet‐Based Microfluidics: Advances, Challenges, and Emerging Opportunities

Advanced Intelligent Systems, EarlyView.
Droplet‐based microfluidics enables precise, high‐throughput microscale reactions but continues to face challenges in scalability, reproducibility, and data complexity. This review examines how artificial intelligence enhances droplet generation, detection, sorting, and adaptive control and discusses emerging opportunities for clinical and industrial ...
Junyan Lai, Sukrit Gaira, Rongfeng Wang, Qingtian Zhang, Ming Li, Liao Wu, Diangeng Li, Yi Li, Chengchen Zhang, Jinhong Guo, Shi‐Yang Tang   +10 more
wiley   +1 more source

A Hybrid Approach to Music Recommendations Based on Audio Similarity Using Autoencoder and LightGBM

Journal of Applied Informatics and Computing
Music recommendation systems help users navigate large music collections by suggesting songs aligned with their preferences. However, conventional methods often overlook the depth of audio content, limiting personalization and accuracy.
Winda Ardelia Aristawidya, Majid Rahardi
doaj   +1 more source

Chronological Diagnostic Algorithm Predicting Neuropathology in Parkinsonism

Annals of Neurology, EarlyView.
Objective Pre‐mortem diagnosis of parkinsonism is often challenging due to atypical presentations, overlapping syndromes, and co‐pathologies. This study aimed to develop a machine learning‐based algorithm predicting neuropathology in parkinsonism using chronological clinical presentations, which has previously been underexplored.
Daisuke Ono, Hiroaki Sekiya, Alexia R. Maier, Neill R. Graff‐Radford, Zbigniew K. Wszolek, Dennis W. Dickson   +5 more
wiley   +1 more source