Suchergebnisse - support detection and root finding algorithm

A Newton-Type Method for ℓ0-Regularized Accelerated Failure Time Model Under the Case–Cohort Design von Liu, Yanyan, Tian, Ke, Wang, Danlu, Zhang, Jing

“… Computationally, we develop a support detection and root finding (SDAR) algorithm, where the support is first determined based on the primal and dual information …”
Volltext

Bias-enhanced support detection and root finding approach von Ming, Hao, Yang, Hu

“… We term this approach the bias-enhanced support detection and root finding approach (BESDAR). The BESDAR algorithm significantly reduces estimation mean square error …”
Volltext

MLSFDD: Machine-Learning-Based Smart Fire Detection Device for Precision Agriculture von Maity, Tapan, Nath Bhawani, Adi, Samanta, Jagannath, Saha, Prabir, Majumdar, Shubhankar, Srivastava, Gautam

“… In this work, a smart IoT-based device [(ML-based smart fire detection device (MLSFDD)] is designed for smart agriculture …”
Volltext

Artificial Intelligence Algorithm-Based Economic Denial of Sustainability Attack Detection Systems: Cloud Computing Environments von Aldhyani, Theyazn H. H., Alkahtani, Hasan

“… We present an effective approach to mitigating EDoS attacks in cloud computing. To mitigate such distributed attacks, methods for detecting them on different cloud computing smart grids have been suggested …”
Volltext

Design and analysis of large-scale biological rhythm studies: a comparison of algorithms for detecting periodic signals in biological data von Deckard, Anastasia, Anafi, Ron C., Hogenesch, John B., Haase, Steven B., Harer, John

“… data and biological data. Synthetic data were used to evaluate how each algorithm responds to different curve shapes, periods, phase shifts, noise levels and sampling rates …”
Volltext

Detection of Soluble Solids Content (SSC) in Pears Using Near-Infrared Spectroscopy Combined with LASSO–GWF–PLS Model von Zhan, Baishao, Li, Peng, Li, Ming, Luo, Wei, Zhang, Hailiang

“… characteristic absorption peaks corresponding to different characteristic wavelengths. Traditional methods such as genetic algorithm (GA …”
Volltext

Decision-Support for Restorative Dentistry: Hybrid Optimization Enhances Detection on Panoramic Radiographs von Ateş, Gül, Türk, Fuat, Akçın, Elif Tuba, Güngör, Müjgan

“… Background/Objectives: Artificial intelligence (AI) has been increasingly used to support radiological assessment in dentistry …”
Volltext

GSDAR: a fast Newton algorithm for ℓ0 regularized generalized linear models with statistical guarantee von Huang, Jian, Jiao, Yuling, Kang, Lican, Liu, Jin, Liu, Yanyan, Lu, Xiliang

“… We propose a fast Newton algorithm for ℓ 0 regularized high-dimensional generalized linear models based on support detection and root finding …”
Volltext

AI-driven models for prediction of ceramic tiles' properties and detection of the influences: Behavior during shaping and drying von Vasić, Milica V, Awoyera, Paul O, Onyelowe, Keneddy C, Mydin, Md Azree Othuman, Barišić, Ivana, Grubeša, Ivanka Netinger

“… The shaping and drying of ceramics are a critical yet complex process that directly influences ceramic materials’ final properties and performance. Predicting …”
Volltext

Estimating Invisible Passenger Count Using CCTV Footage: An Approach Combining Object Detection Models and Machine Learning von Kim, Kyung-Hee, An, Tae-Ki, Kim, Sunhee

“… Thus, even with precise detection of visible individuals using object detection algorithms, estimating the total count remains a challenge …”
Volltext

Rapid Detection of Protein Content in Fuzzy Cottonseeds Using Portable Spectrometers and Machine Learning von Dong, Xiaofeng, Li, Qingxu, Luo, Zhenwei, Zhang, Sun, Zhang, Hongzhou, Jin, Guoqiang

“… This study developed a rapid, non-destructive method for the quantitative detection of protein in cottonseed by integrating near-infrared (NIR …”
Volltext

Exploring Machine Learning Algorithms to Unveil Genomic Regions Associated With Resistance to Southern Root-Knot Nematode in Soybeans von Canella Vieira, Caio, Zhou, Jing, Usovsky, Mariola, Vuong, Tri, Howland, Amanda D., Lee, Dongho, Li, Zenglu, Zhou, Jianfeng, Shannon, Grover, Nguyen, Henry T., Chen, Pengyin

“… Southern root-knot nematode [SRKN, Meloidogyne incognita (Kofold & White) Chitwood] is a plant-parasitic nematode challenging to control due to its short life …”
Volltext

Thermal Runaway Warning of Lithium Battery Based on Electronic Nose and Machine Learning Algorithms von Pu, Zilong, Yang, Miaomiao, Jiao, Mingzhi, Zhao, Duan, Huo, Yu, Wang, Zhi

“… Characteristic gas detection can be an efficient way to predict the degree of thermal runaway of a lithium battery …”
Volltext

Anomaly Detection for Hydroelectric Power Plants: a Machine Learning-based Approach von Fanan, Mattia, Baron, Claudio, Carli, Ruggero, Divernois, Marc-Aurele, Marongiu, Jean-Christophe, Susto, Gian Antonio

“… and explainability algorithms to supplement Decision Support System insights in Predictive Maintenance and Root Cause Analysis …”
Volltext

A hybrid decision support system for automatic detection of Schizophrenia using EEG signals von Khare, Smith K., Bajaj, Varun

“… This causes permanent disability and hampers routine functioning. Trained neurologists use interviewing and visual inspection techniques for the detection and diagnosis of SCZ …”
Volltext

Comparison of Statistical Modelling Approaches for Estimating Tropical Forest Aboveground Biomass Stock and Reporting Their Changes in Low-Intensity Logging Areas Using Multi-Temporal LiDAR Data von Rex, Franciel Eduardo, Silva, Carlos Alberto, Dalla Corte, Ana Paula, Klauberg, Carine, Mohan, Midhun, Cardil, Adrián, Silva, Vanessa Sousa da, Almeida, Danilo Roberti Alves de, Garcia, Mariano, Broadbent, Eben North, Valbuena, Ruben, Stoddart, Jaz, Merrick, Trina, Hudak, Andrew Thomas

“… Here, we evaluate the effectiveness of airborne LiDAR (Light Detection and Ranging) for monitoring AGB stocks and change (ΔAGB …”
Volltext

Enhancing monthly runoff prediction: a data-driven framework integrating variational mode decomposition, enhanced artificial rabbit optimization, support vector regression, and error correction von He, Ni-ni, Wang, Wen-chuan

“… ) and multi-strategy enhanced Artificial Rabbit Optimization algorithm (MARO), combined with Support Vector Regression (SVR) for prediction …”
Volltext

Development of a Multiscale XGBoost-Based Model for Enhanced Detection of Potato Late Blight Using Sentinel-2, UAV, and Ground Data von Chang, Sheng, Chi, Zelong, Chen, Hong, Hu, Tongle, Gao, Caixia, Meng, Jihua, Han, Liangxiu

“… A key finding of this study is the general similarity in spectral patterns across different scales, with consistent valley values in bands of blue and red and peak values in bands of near infrared (NIR …”
Volltext

A pesticide residue detection model for food based on NIR and SERS von Yan, Fuchao, Zhang, Rui, Wang, Shuqi, Zhang, Ning, Zhang, Xueyao

“… ) and Surface Enhanced Raman Spectroscopy (SERS) techniques, aiming to achieve efficient and accurate detection of pesticide residues in food by integrating the spectral information from both techniques …”
Volltext

Detection of wheat saccharification power and protein content using stacked models integrated with hyperspectral imaging von Huang, Yuexiang, Tian, Jianping, Yang, Haili, Hu, Xinjun, Han, Lipeng, Fei, Xue, He, Kangling, Liang, Yan, Xie, Liangliang, Huang, Dan, Zhang, HengJing

“… ) with stacked ensemble learning (SEL). RESULTS This study extracted hyperspectral information from 14 different varieties of wheat and employed various algorithms for preprocessing …”
Volltext