Results 151 to 160 of about 21,160 (284)

Pattern recognition in living cells through the lens of machine learning. [PDF]

Open Biol
Britto Bisso F, Aguilar R, Shree D, Zhu Y, Espinoza M, Diaz B, Cuba Samaniego C.   +6 more
europepmc   +1 more source

Optimized Risk Assessment in Forensic Practice: A Comparison of Machine Learning and Manual Scoring Approaches

Behavioral Sciences &the Law, EarlyView.
ABSTRACT As correctional jurisdictions and risk instrument developers look to optimize scoring for specific population needs, an open question remains ‐ which method is optimal. Popular scoring methods range from manual simple scoring approaches (e.g., Burgess) to more complex machine learning algorithms (e.g., random forests).
Danielle J. Rieger, Ralph C. Serin, Shelley L. Brown   +2 more
wiley   +1 more source

Point cloud generation adversarial network based on self-attention and curvature. [PDF]

PLoS One
Sun F, Shen C, Kong Y, Zhang Z, Hu M, Xiong F.   +5 more
europepmc   +1 more source

Sex Prediction From the Clavicle Using Computerized Tomography Images via Traditional and Hybrid Deep Learning Models

Clinical Anatomy, EarlyView.
ABSTRACT The aim of this study is to perform high accuracy sex prediction from clavicle images using proposed hybrid deep learning models and traditional deep learning models. The clavicle of 807 female and 805 male individuals obtained from Computed Tomography were segmented in 3D format and saved in jpeg format as superior–inferior and right–left ...
Yusuf Secgin, Muhammet Cakmak, Deniz Senol, Seren Kaya, Oğuzhan Oztürk, Oğuzhan Harmandaoğlu, Hatice Yenigül, Eslem Yaren Bıyık, Omer Onbaş   +8 more
wiley   +1 more source

Multilayer perceptron neural network-genetic algorithm for modeling Nicotiana tabacum leaf quality. [PDF]

PLoS One
Najafi MR, Aghajani MA, Safaie N, Rahmanpour S.   +3 more
europepmc   +1 more source

Machine Learning Paradigm for Advanced Battery Electrolyte Development

Carbon Energy, EarlyView.
Electrolyte materials determine ion transport kinetics within the bulk and interphases, ultimately influencing the performance of battery systems. As data‐driven paradigms increasingly reshape materials discovery, this review provides an application‐oriented exploration of the intersection between machine learning and electrolyte science. By evaluating
Chang Su, Mengfan Pei, Keyu Chen, Xigao Jian, Fangyuan Hu   +4 more
wiley   +1 more source

Leveraging Climate Data Through Intelligent Systems for the Prediction of Arbovirus Transmission by Aedes aegypti. [PDF]

Int J Environ Res Public Health
Lima CL, Sancho KA, Silva ACGD, Vital R, Silva CCD, Mendonça MFS, Borges FT, Siqueira CEG, Santos WPD.   +8 more
europepmc   +1 more source

Inter‐Verified Binary Classification Models: Unveiling Key Polymer Features Against Staphylococcus aureus

Carbon Innovation, EarlyView.
ABSTRACT Antimicrobial peptides (AMPs) are promising alternatives to antibiotics but require precise and costly sequence control for efficacy. Synthetic polymers composed of acrylate and acrylamide offer a simpler and more time‐efficient antibacterial strategy compared to AMPs.
Jooyoung Roh, Cyrille Boyer, Priyank Kumar   +2 more
wiley   +1 more source

STF-DKANMixer: Tri-component decomposition with KAN-MLP hybrid architecture for time series forecasting. [PDF]

PLoS One
Wei J, Guo R, Wang Y.
europepmc   +1 more source

Bridging Theory and Prediction: A Hybrid SEM and Machine Learning Approach to Optimize Lean Construction for Megaproject Sustainability in China

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT Construction megaprojects, large‐scale, complex, and capital‐intensive, are particularly prone to inefficiencies, cost overruns, delays, and environmental degradation due to fragmented workflows, stakeholder misalignment, and resource intensity.
Abdelazim Ibrahim, Tarek Zayed, Zoubeir Lafhaj, Ahmed Maged, Ahmed Farouk Kineber, Jingchao Yang   +5 more
wiley   +1 more source