Results 151 to 160 of about 92,424 (280)

Estimating chemical oxygen demand in municipal landfill leachate using multilayer perceptron artificial neural networks based on seasonal monitoring data. [PDF]

Sci Rep
Gök G, Gürbüz OÖ, Gürbüz OA.
europepmc   +1 more source

Artificial Intelligence–Driven and Digital Practices for Circular Business and Finance: Insights for Advancing Hubs for Circularity

Business Strategy and the Environment, EarlyView.
ABSTRACT The emerging concept of Hubs for Circularity (H4Cs) presents an opportunity to create collaborative, self‐sustaining regional industrial ecosystems that drive circular economy transitions at scale. However, the operationalisation of H4Cs faces financial, organisational and data‐driven challenges.
Aditya Tripathi, Marcos R. Machado, Laura Spierdijk, Devrim Murat Yazan   +3 more
wiley   +1 more source

RMIS-Net: a fast medical image segmentation network based on multilayer perceptron. [PDF]

PeerJ Comput Sci
Zhang B, Xu G, Xing Y, Li N, Li D.
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

IPO: An Improved Parrot Optimizer for Global Optimization and Multilayer Perceptron Classification Problems. [PDF]

Biomimetics (Basel)
Li F, Dai C, Hussien AG, Zheng R.
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

Predicting football match outcomes: a multilayer perceptron neural network model based on technical statistics indicators of the FIFA world Cup. [PDF]

Front Sports Act Living
Luo Y, Quan T, Cao Y.
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

Multilayer perceptron modeling of health literacy and medication adherence determinants in Arab patients with cardiometabolic disease: the role of quality of life, eating behaviors, and physical activity. [PDF]

BMC Res Notes
Alharbi HF, Al Mutair A, Daniyal M.
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