Results 211 to 220 of about 85,077 (292)

Cervical cancer screening uptake and its associated factor in Sub-Sharan Africa: a machine learning approach. [PDF]

BMC Med Inform Decis Mak
Arage FG, Tadese ZB, Taye EA, Tsegaw TK, Abate TG, Alemu EA.   +5 more
europepmc   +1 more source

COMPARATIVE STUDY OF MACHINE LEARNING KNN, SVM, AND DECISION TREE ALGORITHM TO PREDICT STUDENT’S PERFORMANCE

, 2019
Slamet Wiyono, Taufiq Abidin
openalex   +2 more sources

Computational and AI‐Driven Design of Hydrogels for Bioelectronic Applications

Advanced Electronic Materials, EarlyView.
This review highlights the role of AI in advancing hydrogel design for bioelectronics, exploring natural, and synthetic gels tailored for applications like wound healing, biosensing, and tissue engineering. It emphasizes the synergy between hydrogels, electronics, and AI in creating responsive, multifunctional systems, showcasing recent innovations ...
Rebekah Finster, Prashant Sankaran, Eloise Bihar   +2 more
wiley   +1 more source

Scalable and robust machine learning framework for HIV classification using clinical and laboratory data. [PDF]

Sci Rep
Sui Q, Li G, Peng Y, Zhang J, Zhang Y, Zhao R.   +5 more
europepmc   +1 more source

Decision Tree: A Machine Learning for Intrusion Detection

, 2019
S. C. Lingareddy, N. Bhat, Sunil Kumar
openalex   +1 more source

Toward High‐Performance Electrochemical Energy Storage Systems: A Case Study on Predicting Electrochemical Properties and Inverse Material Design of MXene‐Based Electrode Materials with Automated Machine Learning (AutoML)

Advanced Electronic Materials, EarlyView.
This study demonstrates PyCaret's AutoML framework for predicting the electrochemical and structural properties of MXene‐based electrodes, including intercalation voltage, capacity, and lattice constants. AutoML streamlines workflows, ranks key elemental descriptor, and enables inverse molecular formula prediction based on performance targets.
Berna Alemdag, Görkem Saygili, Matthias Franzreb, Gözde Kabay   +3 more
wiley   +1 more source

An interpretable deep learning framework using FCT-SMOTE and BO-TabNet algorithms for reservoir water sensitivity damage prediction. [PDF]

Sci Rep
He YB, Sheng KM, Du ML, Jiang GC, Dong TF, Guo L, Xu BT.   +6 more
europepmc   +1 more source

Wearable PZT Piezoelectric Sensor Device for Accurate Arterial Pressure Pulse Waveform Measurement

Advanced Electronic Materials, EarlyView.
This work presents a wearable device for the non‐invasive measurement of radial arterial pressure pulse waveforms, incorporating a highly sensitive flexible Lead Zirconate Titanate (PZT) piezoelectric sensor and an optimized tightness‐free attachment method to maximize the sensitivity.
Minyu Li, Jun Aoyama, Koya Inayoshi, Hedong Zhang   +3 more
wiley   +1 more source

Distributed denial-of-service (DDOS) attack detection using supervised machine learning algorithms. [PDF]

Sci Rep
Abiramasundari S, Ramaswamy V.
europepmc   +1 more source

Advanced Microfluidic‐Based Wearable Electrochemical Sensors for Continuous Biochemical Monitoring

Advanced Electronic Materials, EarlyView.
Microfluidic‐based wearable electrochemical sensors are transforming non‐invasive health monitoring through real‐time biochemical analysis of sweat, saliva, and interstitial fluid. This review explores advances in microfluidic design, fabrication, and sensor integration while addressing biofluid variability, material compatibility, and scalability.
Sehyun Park, Seongyeop Kim, Soojin Lee, Vladimir V. Tsukruk, SeungHyun Park, Hyo‐Ryoung Lim   +5 more
wiley   +1 more source