Results 61 to 70 of about 9,064 (165)

Machine Learning for Accelerating Energy Materials Discovery: Bridging Quantum Accuracy with Computational Efficiency

Advanced Energy Materials, Volume 16, Issue 2, 14 January 2026.
This perspective highlights how machine learning accelerates sustainable energy materials discovery by integrating quantum‐accurate interatomic potentials with property prediction frameworks. The evolution from statistical methods to physics‐informed neural networks is examined, showcasing applications across batteries, catalysts, and photovoltaics ...
Kwang S. Kim
wiley   +1 more source

MAML is a Noisy Contrastive Learner in Classification

, 2021
Model-agnostic meta-learning (MAML) is one of the most popular and widely adopted meta-learning algorithms, achieving remarkable success in various learning problems. Yet, with the unique design of nested inner-loop and outer-loop updates, which govern the task-specific and meta-model-centric learning, respectively, the underlying learning objective of
Kao, Chia-Hsiang, Chiu, Wei-Chen, Chen, Pin-Yu   +2 more
openaire   +2 more sources

Natural Products Targeting Notch Signaling in Cancer: Mechanistic Insights and Food‐Based Chemoprevention Potential

Food Frontiers, Volume 7, Issue 1, January 2026.
The Notch signaling pathway plays a dual role in cancer, acting as both a tumor promoter and suppressor depending on cellular context. This review highlights how natural products modulate Notch signaling to inhibit tumor initiation, progression, angiogenesis, and cancer stem cell maintenance.
Rabab Fatima, Parteek Prasher, Mousmee Sharma, Dietrich Büsselberg, Gabriela Figueroa‐González, Octavio Daniel Reyes‐Hernández, Edgar Yebrán Villegas‐Vázquez, Hernán Cortés, Gerardo Leyva‐Gómez, Jesús Herrera‐Bravo, Solomon Habtemariam, Javad Sharifi‐Rad, Monica Butnariu, Cristian Berar, Angela Caunii, William C. Cho   +15 more
wiley   +1 more source

GenDT-MAML: A Data-Efficient Framework for Personalized Seizure Prediction Using Generative Digital Twins and MAML

IEEE Open Journal of the Communications Society
Personalized seizure prediction from wearable EEG is challenging because new patients typically provide only a few labeled pre-ictal windows, while prediction models must operate under the computational limits of edge devices. This paper introduces GenDT-
Menglong Li, Yi Deng, Xuerui Huang, Jinlong Li, Wei Xing   +4 more
doaj   +1 more source

BI-MAML: Balanced Incremental Approach for Meta Learning

, 2020
We present a novel Balanced Incremental Model Agnostic Meta Learning system (BI-MAML) for learning multiple tasks. Our method implements a meta-update rule to incrementally adapt its model to new tasks without forgetting old tasks. Such a capability is not possible in current state-of-the-art MAML approaches.
Zheng, Yang, Xiang, Jinlin, Su, Kun, Shlizerman, Eli   +3 more
openaire   +2 more sources

Mechanical Evaluation of Posterior Wall Acetabular Facture Fixation: Patient‐Specific Implants Versus Conventional Implants

Journal of Orthopaedic Research, Volume 44, Issue 1, January 2026.
ABSTRACT The aim of the study was to design a standardized mechanical test setup and a corresponding finite element analysis to assess the stability and strength of both patient‐specific and conventional implants for posterior wall acetabular fractures.
Miriam G. E. Oldhoff, Anne M. L. Meesters, Joep Kraeima, Mehool R. Acharya, Kaj ten Duis, Jean‐Paul P. M. de Vries, Bram B. J. Merema, Frank F. A. IJpma   +7 more
wiley   +1 more source

Multi‐Agent Reinforcement Learning Framework for Optimizing Smart Cities as System of Systems

Systems Engineering, Volume 29, Issue 1, Page 3-19, January 2026.
ABSTRACT This paper presents a novel framework for optimizing smart cities as System of Systems (SoS) by integrating Multi‐Agent Reinforcement Learning (MARL) with traditional systems engineering methodologies. Constituent systems–modeled as agents across domains such as transportation, energy, public safety, and communication, operate autonomously ...
Arifuzzaman (Arif) Sheikh, Edwin K. P. Chong   +1 more
wiley   +1 more source

Afiksasi dalam Cerita Rakyat Papua Mamle Si Anak Sakti

Jurnal Onoma: Pendidikan, Bahasa, dan Sastra, 2023
Penelitian ini bertujuan menggambarkan: (1) pembentukan kata berafiks dalam Cerita Rakyat Mamle Si Anak Sakti Papua; (2) fungsi penggunaan afiksasi pada Cerita Rakyat Mamle Si Anak Sakti Papua; dan (3) Makna yang dikandung dalam kata berafiksasi pada cerita rakyat  Mamle Si Anak Sakti. Sampel penelitian diambil dengan teknik purposive sampling.
null Akhiruddin, null Insum Malawat, null Nursalam   +2 more
openaire   +1 more source

Automated and Explainable Denial of Service Analysis for AI‐Driven Intrusion Detection Systems

IET Information Security, Volume 2026, Issue 1, 2026.
With the increasing frequency and sophistication of distributed denial of service (DDoS) attacks, it has become critical to develop more efficient and interpretable detection methods. Traditional detection systems often struggle with scalability and transparency, hindering real‐time response and understanding of attack vectors. This article presents an
Paul Badu Yakubu, Lesther Santana, Mohamed Rahouti, Yufeng Xin, Abdellah Chehri, Mohammed Aledhari, Jiwei Tian   +6 more
wiley   +1 more source

Improving multilingual English translation performance through T5 and MAML integration

Systems and Soft Computing
Multilingual English translation encounters substantial challenges stemming from the diverse syntactic structures, varied vocabulary, and limited data resources for certain language pairs.
JiaSheng Zhu, Hongping Sun, Biao Kong
doaj   +1 more source