Results 61 to 70 of about 52,163 (250)

Hybrid Approach for Class Imbalance Handling using Adaptive Weighted Oversampling and Instance Hardness-Based Undersampling

JTAM (Jurnal Teori dan Aplikasi Matematika)
Class imbalance remains a major challenge in multi-class classification, where existing hybrid resampling methods often combine oversampling and undersampling in a loosely coupled manner, without explicitly coordinating minority enrichment and majority ...
Hartono Hartono, Erianto Ongko, Muhammad Khahfi Zuhanda   +2 more
doaj   +1 more source

Dual‐line Genome‐scale CRISPR Screening Enables Robust Target Gene Discovery

Advanced Science, EarlyView.
A species‐optimized CRISPR platform integrates efficient piggyBac delivery, genome‐scale sgRNA libraries, and parallel screening in two independently engineered Bactrocera dorsalis Cas9 cell lines. Cross‐line consensus analysis filters line‐specific effects, enriches candidates with reproducible in vivo phenotypes, and reveals conserved, species ...
Ziniu Li, Jiao Qiao, Qiuyuan Zhang, Peipei Liu, Chenjun Zheng, Qi Zhou, Mengqi Ji, Zhihui Zhu, Xiaoxue Li, Hongyu Zhang   +9 more
wiley   +1 more source

Exceptional Antimodes in Multi‐Drive Cavity Magnonics

Advanced Electronic Materials, EarlyView.
Driven‐dissipative cavity‐magnonics provides a flexible platform for engineering non‐Hermitian physics such as exceptional points. Here, using a four‐port, three‐mode system with controllable microwave interference, antimodes and coherent perfect extinction (CPE) are realized, enabling active tuning to antimode exceptional points.
Mawgan A. Smith, Ryan D. McKenzie, Alban Joseph, Robert L. Stamps, Rair Macêdo   +4 more
wiley   +1 more source

Dual-Stage Deep Learning for Long-Term Voltage Instability Prediction and Conditional OLTC Blocking–Load Shedding Decision Support

IEEE Access
While On-Load Tap Changers (OLTCs) effectively regulate voltage under normal conditions, their operation during voltage instability events can inadvertently accelerate system failure.
Falih K. H. Alabbas, Mahtab Khalilifar, S. Mohammad Shahrtash, S. Mohsen Alipour, Davood Arab Khaburi   +4 more
doaj   +1 more source

Atomic Scale Control of Thermal Conductivity in LaMnO3/SrMnO3 Superlattices

Advanced Electronic Materials, EarlyView.
Interface‐dominated cross‐plane thermal transport in [(LaMnO3)m/(SrMnO3)n]10 superlattices can be controlled by the octahedral rotation/tilt angle φOOR of the MnO6 octahedra, which as well is controlled by the “m/n” ratio. ABSTRACT We report atomic scale structure and phonon thermal transport in (LaMnO3)m/(SrMnO3)n/SrTiO3(100) superlattices (LMO/SMO ...
H. Ulrichs, V. Roddatis, U. Roß, J. P. Bange, D. Meyer, S. Lopatin, V. Radisch, D. Metternich, I. V. Maznichenko, S. Ostanin, R. Egoavil, I. Lazić, V. Moshnyaga   +12 more
wiley   +1 more source

MH-WMG: A Multi-Head Wavelet-Based MobileNet with Gated Linear Attention for Power Grid Fault Diagnosis

Applied Sciences
Artificial intelligence is increasingly embedded in power systems to boost efficiency, reliability, and automation. This study introduces an end-to-end, AI-driven fault-diagnosis pipeline built around a Multi-Head Wavelet-based MobileNet with Gated ...
Yousef Alkhanafseh, Tahir Cetin Akinci, Alfredo A. Martinez-Morales, Serhat Seker, Sami Ekici   +4 more
doaj   +1 more source

Smart Exploration of Perovskite Photovoltaics: From AI Driven Discovery to Autonomous Laboratories

Advanced Energy Materials, EarlyView.
In this review, we summarize the fundamentals of AI in automated materials science, and review AI applications in perovskite solar cells. Then, we sum up recent progress in AI‐guided manufacturing optimization, and highlight AI‐driven high‐throughput and autonomous laboratories.
Wenning Chen, Zheyu Zhang, Kelvian T. Mularso, Bonghyun Jo, Hyun Suk Jung   +4 more
wiley   +1 more source

A Multi-Branched Hybrid Perceptron Network for DDoS Attack Detection Using Dynamic Feature Adaptation and Multi-Instance Learning

IEEE Access
The increasing sophistication and frequency of Distributed Denial of Service (DDoS) attacks necessitate advanced detection systems. These attacks leave networks vulnerable to disruptions, resource overload, security breaches, and financial losses ...
Ali Tariq Kalil Al-Khayyat, Osman Nuri Ucan   +1 more
doaj   +1 more source

From Top to Bottom: Manufacturing Process‐Context Aware Resolution of Energy Device Electrodes Through a 3D Diffusion Generative Model

Advanced Energy Materials, EarlyView.
The application of a generative diffusion model, enhanced with a training data augmentation pipeline retaining the manufacturing process context of electrode microstructures, leads to improved fidelity of the through‐plane tortuosity factor in the AI generated samples.
Victor Ramirez‐Camacho, Siwar Ben Hadj Ali, Maxence Desnoyers, Francisco Fernandez, Nassima Benammar, Alejandro A. Franco   +5 more
wiley   +1 more source

Defective Wheat Kernel Recognition Using EfficientNet with Attention Mechanism and Multi-Binary Classification

Applied Sciences
As a globally significant food crop, the assessment of wheat quality is essential for ensuring food security and enhancing the processing quality of agricultural products.
Duolin Wang, Jizhong Li, Han Gong, Jianyi Chen   +3 more
doaj   +1 more source