Results 181 to 190 of about 6,303,129 (314)

Integrating NLP and Ensemble Learning into Next-Generation Firewalls for Robust Malware Detection in Edge Computing. [PDF]

Sensors (Basel)
Moila RL, Velempini M.
europepmc   +1 more source

Modulation of Network Plasticity Opens Novel Therapeutic Possibilities in Cancer, Diabetes, and Neurodegeneration

Advanced Science, EarlyView.
Plasticity changes of molecular networks form a cellular learning process. Signaling network plasticity promotes cancer, metastasis, and drug resistance development. 55 plasticity‐related cancer drug targets are listed (20 having already approved drugs, 9 investigational drugs, and 26 being drug target candidates).
Márk Kerestély, István Narozsny, Levente Szarka, Daniel V. Veres, Peter Csermely, Dávid Keresztes   +5 more
wiley   +1 more source

Deep Ensemble Learning for Multiclass Skin Lesion Classification. [PDF]

Bioengineering (Basel)
Chiu TM, Chi IC, Li YC, Tseng MH.
europepmc   +1 more source

Data‐Driven Design and Fabrication of Heat‐Resistant, Ultrastrong, Lightweight Aluminum‐Based Entropy Alloy by Additive Manufacturing

Advanced Science, EarlyView.
A data‐driven strategy integrating quantum machine learning (QML) and high‐throughput computing overcomes hot‐cracking limitation to design a novel lightweight aluminum‐based entropy alloy for additive manufacturing. The fabrication transforms brittle intermetallics into deformable hierarchical nanostructures, yielding ultrastrong strength (>1 GPa) and
Enmao Wang, Chao Ding, Danyang Zhou, Chenjin Xu, Swee Leong Sing, Jianzhong Jiang, Huibin Wu   +6 more
wiley   +1 more source

Enhancing Brain Tumor Classification and Generalization Using DDPM-Generated MRI, Mutual Information and Ensemble Learning. [PDF]

Technol Cancer Res Treat
Moshe YH, Teicher M, Artzi M.
europepmc   +1 more source

How AI Shapes the Future Landscape of Sustainable Building Design With Climate Change Challenges?

Advanced Science, EarlyView.
This review examines how artificial intelligence reshapes sustainable building design faced with climate change challenges. The authors synthesize existing studies to demonstrate AI's transformative potential across design lifecycle phases from climate‐aware form generation to performance optimization.
Pengyuan Shen, Xiaoni Gao, Shuai Lu, Yi Zhang, Xing Zheng, Matthaios Santamouris   +5 more
wiley   +1 more source

PatternFusion: a hybrid model for pattern recognition in time-series data using ensemble learning. [PDF]

Sci Rep
Bouchelligua W.
europepmc   +1 more source

ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals

Advanced Science, EarlyView.
The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray, Andrew R. Castillo, Manoj Kolel‐Veetil, Surya R. Kalidindi   +3 more
wiley   +1 more source

Heart disease prediction using hybrid TabNet architecture with stacked ensemble learning. [PDF]

Front Physiol
Yasmeen R, Khan L, Choi A.
europepmc   +1 more source

Machine‐Learning‐Guided Design of Incommensurate Antiferroelectrics via Field‐Driven Phase Engineering

Advanced Science, EarlyView.
The key to enhancing the energy storage performance of antiferroelectrics lies in regulating the phase transition and reverse phase transition. A phase‐field‐machine learning framework is employed to predict the energy storage performance of Pb‐based incommensurate antiferroelectrics with multi‐scale regulation strategy, thereby revealing the dynamic ...
Ke Xu, Xiaoming Shi, Zhaochen Xi, Shouzhe Dong, Changqing Guo, Rongzhen Gao, Letao Yang, Jing Wang, Di Zhou, Houbing Huang   +9 more
wiley   +1 more source