Search Results - support detection and root finding algorithm

A Newton-Type Method for ℓ0-Regularized Accelerated Failure Time Model Under the Case–Cohort Design by 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…”
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Bias-enhanced support detection and root finding approach by 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…”
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MLSFDD: Machine-Learning-Based Smart Fire Detection Device for Precision Agriculture by 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…”
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Artificial Intelligence Algorithm-Based Economic Denial of Sustainability Attack Detection Systems: Cloud Computing Environments by 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…”
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Design and analysis of large-scale biological rhythm studies: a comparison of algorithms for detecting periodic signals in biological data by 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…”
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Detection of Soluble Solids Content (SSC) in Pears Using Near-Infrared Spectroscopy Combined with LASSO–GWF–PLS Model by 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…”
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Decision-Support for Restorative Dentistry: Hybrid Optimization Enhances Detection on Panoramic Radiographs by Ateş, Gül, Türk, Fuat, Akçın, Elif Tuba, Güngör, Müjgan

“…Background/Objectives: Artificial intelligence (AI) has been increasingly used to support radiological assessment in dentistry…”
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GSDAR: a fast Newton algorithm for ℓ0 regularized generalized linear models with statistical guarantee by 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…”
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AI-driven models for prediction of ceramic tiles' properties and detection of the influences: Behavior during shaping and drying by 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…”
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Estimating Invisible Passenger Count Using CCTV Footage: An Approach Combining Object Detection Models and Machine Learning by 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…”
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Rapid Detection of Protein Content in Fuzzy Cottonseeds Using Portable Spectrometers and Machine Learning by 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…”
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Exploring Machine Learning Algorithms to Unveil Genomic Regions Associated With Resistance to Southern Root-Knot Nematode in Soybeans by 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…”
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Thermal Runaway Warning of Lithium Battery Based on Electronic Nose and Machine Learning Algorithms by 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…”
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Anomaly Detection for Hydroelectric Power Plants: a Machine Learning-based Approach by 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…”
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A hybrid decision support system for automatic detection of Schizophrenia using EEG signals by 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…”
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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 by 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…”
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Enhancing monthly runoff prediction: a data-driven framework integrating variational mode decomposition, enhanced artificial rabbit optimization, support vector regression, and error correction by He, Ni-ni, Wang, Wen-chuan

“…) and multi-strategy enhanced Artificial Rabbit Optimization algorithm (MARO), combined with Support Vector Regression (SVR) for prediction…”
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Development of a Multiscale XGBoost-Based Model for Enhanced Detection of Potato Late Blight Using Sentinel-2, UAV, and Ground Data by 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…”
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A pesticide residue detection model for food based on NIR and SERS by 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…”
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Detection of wheat saccharification power and protein content using stacked models integrated with hyperspectral imaging by 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…”
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