Results 171 to 180 of about 185,860 (265)

Low‐Voltage Operation of IGZO Memtransistors Enabled by Coupling Enhancement Through 2T Drain‐Driven Operation for Neuromorphic Computing

Advanced Intelligent Systems, EarlyView.
A two‐terminal IGZO memtransistor enabling low‐voltage operation is demonstrated through coupling enhancement. By utilizing drain‐induced Fowler–Nordheim tunneling, the device achieves programming below 10 V with a large memory window and high on/off ratio.
Junhyeong Park, Sunyeol Bae, Yumin Yun, Chae‐Hwan Park, Donghyeon Lee, Soo‐Yeon Lee   +5 more
wiley   +1 more source

Psychological distress, subjective well-being, and university dropout intention: a structural equation model examining indirect statistical associations involving academic burnout and satisfaction with education. [PDF]

BMC Psychol
Periañez CAH, Jaramillo-Bolívar CD, Castillo-Díaz MA.   +2 more
europepmc   +1 more source

Exploiting Edge Semantics in Job Shop Scheduling Problem With Heterogeneous Graph Transformers

Advanced Intelligent Systems, EarlyView.
A heterogeneous graph transformer (HGT) is introduced for reinforcement learning‐based job shop scheduling by explicitly distinguishing precedence and machine‐contention relations through edge‐type‐specific attention. The proposed framework learns richer scheduling representations, improves decision quality over homogeneous graph models, and highlights
Bulent Soykan, Fatih Kasimoglu
wiley   +1 more source

A meta-analytic predictive approach to fitness-related dropout rates of special operations forces candidates. [PDF]

Mil Med
Dössegger A, Gsponer T, Protte C, Wyss T, Gilgen-Ammann R, Bron D, Veil M, Flück M, Gerber M, Stanga Z.   +9 more
europepmc   +1 more source

Accelerating Materials Discovery: A Review of Machine Learning in X‐Ray Absorption Spectroscopy

Advanced Intelligent Systems, EarlyView.
This review systematically details how machine learning transforms X‐ray absorption spectroscopy (XAS) analysis. It covers advanced deep learning architectures for structure‐spectra mapping and inverse tasks, while discussing key challenges like the simulation‐to‐reality gap.
Melaku Lake Tegegne, Haodong Yao, Liyuan Wu, Yihe Pang, Fazhi Qi, Lina Zhao   +5 more
wiley   +1 more source

An explainable dual-branch transformer-ConvNeXt framework for robust lung histopathology classification. [PDF]

Front Oncol
Sunitha G, Vellingiri J.
europepmc   +1 more source

Sports Activity Recognition Using Textile‐Based Sensor Fusion and Complex‐Valued Residual Convolutional Neural Networks

Advanced Intelligent Systems, EarlyView.
Motion artifacts in electrocardiographic signals, conventionally dismissed as noise, are shown to encode discriminative activity information. A smart t‐shirt fusing textile strain sensors with textile ECG electrodes, processed through a complex‐valued residual network, recognizes 12 sport activities.
Nada Al‐azzawi, Munire Sibel Cetin, Asli Tuncay Atalay, Ozgur Atalay, Gökhan Ince   +4 more
wiley   +1 more source

Pooled prevalence of maternal continuum of care dropout and associated factors among mothers in 41 low-income and middle-income countries: a multi-country cross-sectional study after the Sustainable Development Goals. [PDF]

BMJ Open
Bitewa MD, Getachew MS, Kassie TD, Getnet M, Lakew AM.   +4 more
europepmc   +1 more source

Resilient Multimodal Fusion for Robust Vulnerability Exploitability Prediction Under Data Degradation

Advanced Intelligent Systems, EarlyView.
Secure Fusion‐X harmonizes unstructured NVD descriptions with structured CVSS/CWE/CPE metadata via decision‐level fusion, overcoming the fragility of traditional unimodal models. Automated assessment of software vulnerability exploitability is essential for intelligent cyber defense, yet its effectiveness is often hindered by unstable, delayed, or ...
Mona Dolati, Seyedeh Leili Mirtaheri, Reza Shahbazian, Andrea Pugliese   +3 more
wiley   +1 more source